Tie line power adjustment method and device considering feasible region constraint, and medium
By acquiring and analyzing the operating boundary data of the sub-regions within the province, calculating the feasible domain power transmission range of the contact line, and combining the compilation model and the full grid model for joint solutions, the problem of low power optimization configuration of the contact line in the existing technology is solved, and the stability of the power system and efficient allocation of resources is achieved.
Patent Information
- Application Number
- CN202411978679.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-31
- Publication Date
- 2025-04-11
AI Technical Summary
The prior art is difficult to effectively optimize the power of the connection line in several sub-regions between provinces, resulting in low stability and resource allocation efficiency of the power system.
By obtaining the operating boundary data of several sub-regions in the province, the power transmission range of the feasible domain of the cross-provincial and regional contact line is calculated by time-division decoupling and dimensionality reduction, and a compilation model and a full regional power grid model considering the available transmission power ranges at each province are established, and a joint solution is carried out to obtain the contact line power plan.
The precise optimization configuration of the power of the connection line is achieved, which ensures the stable operation of the power system, reduces power waste, and improves energy utilization efficiency.
Smart Images

Figure CN119813186A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of electric power dispatching, and in particular to a method, device and medium for adjusting power of a tie line taking into account feasible domain constraints. Background Art
[0002] As the times continue to develop, the energy shortage problem facing the world is becoming increasingly severe, which forces the power industry to use existing energy resources efficiently and accurately to ensure the stability and sustainability of energy supply; therefore, in the field of power dispatching, especially in the formulation stage of the interconnection line plan, this requirement becomes extremely critical; as an important channel connecting different power grid areas, the scientificity and effectiveness of the interconnection line plan directly affect the efficient configuration of electric energy and the smooth conduct of cross-regional power transactions. The current interconnection line adjustment method is mainly to monitor and analyze the operating status of the power system in real time, combine advanced smart grid technology and big data analysis technology, and comprehensively apply a variety of strategies and technical means to ensure the safe and stable operation of the power system and the optimal allocation of resources.
[0003] However, in the prior art, the results obtained by the benchmark model based on the planned electricity of the interconnection line are relatively rough. After adding the calculation results of the feasible domain of the interconnection line, although the results can be improved, only medium- and long-term plans can be obtained, and the interconnection line power cannot be effectively adjusted; and, comprehensively considering the feasible domain of the provincial interconnection line power and the grid operation boundary information will increase the time consumption, making it difficult to obtain a complete interconnection line power plan for configuration. Summary of the invention
[0004] The present invention provides a method, device and medium for adjusting the power of a tie line taking into account the constraints of a feasible region, so as to solve the problem that it is difficult to effectively optimize the power configuration of the tie lines of several sub-regions between provinces.
[0005] Obtain operational boundary data for several sub-regions within the province;
[0006] Based on the operation boundary data, the power transmission range of the feasible domain of the inter-provincial interconnection line is calculated by decoupling and reducing the dimension in different time periods;
[0007] With the goal of minimizing the network loss of inter-provincial interconnection lines, a compilation model is established that takes into account the available transmission power range of each province;
[0008] Based on the performance parameters of the units in the plurality of sub-regions, a regional power grid full model of the output of the units is established;
[0009] Taking the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, the compilation model and the regional power grid full model are solved jointly to obtain the interconnection line power plans of the several sub-regions, and the interconnection line powers of the several sub-regions are adjusted according to the interconnection line power plans.
[0010] In the present invention, the method of decoupling and reducing dimensions in different time periods can more accurately reflect the power demand and supply in different time periods, which is helpful to formulate a more reasonable tie line power plan; and the power transmission range of the feasible domain of the inter-provincial tie line calculated based on the operation boundary data provides a clear constraint condition for the optimal configuration of the tie line power. This range ensures that the transmission of the tie line power will neither exceed the limit nor fall below the minimum requirement, thereby ensuring the stable operation of the power system. The compilation model established with the goal of minimizing the network loss of inter-provincial tie lines is helpful to achieve the optimal configuration of power resources. The regional power grid full model established based on the performance parameters of the units in several sub-regions can more comprehensively reflect the actual situation of the power system and provide strong support for optimizing the tie line power configuration. Therefore, by combining the power transmission range and the above-mentioned model for joint solution, a tie line power plan that satisfies the power transmission range constraint and minimizes the network loss can be obtained for optimal configuration.
[0011] Compared with the prior art, the present invention establishes a power transmission range and a model by comprehensively considering the power transmission range, network loss and unit output, so as to obtain a power plan for the interconnection line that satisfies the power transmission range constraint and minimizes the network loss for power adjustment, which helps to reduce power waste and improve energy utilization efficiency. Therefore, it can solve the problem of difficulty in effectively optimizing the configuration of the interconnection line power of several sub-regions between provinces.
[0012] As a preferred solution, based on the operation boundary data, the power transmission range of the feasible domain of the inter-provincial interconnection line is calculated by decoupling and reducing the dimension in different time periods, specifically:
[0013] Based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the operation of the power system, a power system sub-region operation constraint set is established, and a feasible area of the power generation capacity of the units in the province is calculated according to the power system sub-region operation constraint set;
[0014] Based on the dimension reduction mapping technology, the feasible region is reduced to a spatial dimension that only includes the tie line injection power, and the feasible domains of the tie line exchange power in several single sub-regions are obtained;
[0015] The feasible space boundary of the power transmission of the interconnection lines in each period within the province is solved according to the feasible domain of interconnection line exchange power in the several single sub-areas, and the power transmission range of the feasible domain of the inter-provincial interconnection lines is obtained.
[0016] This preferred solution establishes a set of operating constraints for the power system sub-areas based on the operating boundary data, which can comprehensively consider various constraints of the power system. By using dimensionality reduction mapping technology, the complex power system problem is simplified to a spatial dimension that only contains the power injected by the tie line, which greatly reduces the computational complexity of the problem. By establishing an operating constraint set and calculating the feasible spatial boundary of the tie line power transmission, safety issues such as overload and instability in the power system can be effectively avoided.
[0017] As a preferred solution, the feasible space boundary of the power transmission of the tie line in each period in the province is solved according to the feasible domain of the tie line exchange power in the several single sub-areas, and the power transmission range of the feasible domain of the inter-provincial tie line is obtained, which is specifically:
[0018] Based on the feasible domains of the interconnection line exchange powers in the several single sub-areas, convex polyhedron construction and boundary hyperplane calculation are performed to obtain the feasible domains of the interconnection line exchange powers in the target time periods in the several single sub-areas;
[0019] Performing an intersection operation on the feasible domains of the interconnection line exchange powers in the target time periods in the plurality of single sub-regions to obtain the feasible domains of the interconnection lines in the target time periods in the plurality of sub-regions in the regional interconnection mode;
[0020] By comparing the sum of the net input power at each vertex in the feasible domain of the interconnection line during the target period in a vertex search manner, the power transmission range of the feasible domain of the inter-provincial interconnection line is obtained.
[0021] This preferred solution is based on intersection operations and can accurately find the common feasible domain of interconnection line power exchange for all sub-areas within a specific period of time. This ensures the coordination and consistency of power transmission in each area under the interconnection mode and helps maintain the overall stability of the power system.
[0022] As a preferred solution, based on the feasible domains of the tie line exchange power in the several single sub-areas, convex polyhedron construction and boundary hyperplane calculation are performed to obtain the feasible domains of the tie line exchange power in the target time period in the several single sub-areas, specifically:
[0023] Based on the feasible domain of the interconnection line exchange power in the several single sub-areas, several planned operation points are selected as vertices within the target scheduling period of the several sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation state that the power system can achieve within the target scheduling period; the convex polyhedron represents the set of operation states of the power system within the target scheduling period;
[0024] Solve the minimum set of hyperplanes that can completely surround the convex polyhedron to obtain a set of boundary hyperplanes;
[0025] Starting from the convex polyhedron, by translating the boundary hyperplane set outward, a comprehensive operating point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system is obtained, and the comprehensive operating point constitutes the feasible domain of the interconnection line exchange power in the target time period in the several single sub-areas.
[0026] This preferred solution can efficiently calculate the feasible domain of the interconnection line exchange power by constructing a convex polyhedron and solving the boundary hyperplane set. This method avoids directly performing large-scale optimization calculations on complex power system models, thereby reducing computational complexity and improving computational efficiency. By translating the boundary hyperplane set outward, comprehensive operating points that are located on the boundary of the convex polyhedron and meet the preset constraints of the power system can be obtained. These comprehensive operating points can be flexibly adjusted according to actual needs to adapt to different power system operating conditions and requirements.
[0027] As a preferred solution, the sum of the net input power at each vertex in the feasible domain of the interconnection line in the target period is compared by vertex search to obtain the power transmission range of the feasible domain of the inter-provincial interconnection line, which is specifically:
[0028] The transmission power of the feasible region of the tie line in the target period under extreme conditions is defined as a vertex set;
[0029] For each vertex in the vertex set, a sum of net input power is calculated according to input power and load;
[0030] By comparing the sum of the net input power corresponding to each vertex in the vertex set, the maximum transmission power and the minimum transmission power of the interconnection line in the feasible domain are obtained, and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0031] This preferred solution defines the transmission power under extreme conditions as a vertex set, which provides a clear and specific reference point for determining the transmission power of the tie line, and helps to more accurately grasp the transmission characteristics of the tie line in subsequent calculations and analyses. By calculating the sum of the net input power of each vertex, the maximum and minimum transmission power of the tie line in the feasible domain can be accurately obtained. This method avoids the calculation errors and uncertainties caused by direct large-scale simulation and optimization of complex power systems.
[0032] As a preferred solution, based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the power system operation, a power system sub-area operation constraint set is established, specifically:
[0033] Based on the operation boundary data, a physical and operation constraint set is established according to the balance relationship between power generation and load in the plurality of sub-areas; wherein the physical and operation constraint set includes a power balance constraint in the sub-area, a regulating power constraint of the unit in the sub-area, and a ramp constraint in the sub-area;
[0034] Establishing safety constraints within the sub-areas according to a preset allowable fluctuation range of power of each node in the plurality of sub-areas;
[0035] The physical and operational constraint set and the safety constraints in the sub-area constitute the power system sub-area operational constraint set.
[0036] This preferred solution can accurately describe the balance between power generation and load in each sub-region by establishing a set of physical and operational constraints, ensuring real-time matching of power supply and demand, thereby avoiding system instability caused by power surplus or shortage. By establishing safety constraints in sub-regions, the fluctuation range of power at each node can be limited, preventing the impact of excessive or insufficient power fluctuations on the system and improving system safety.
[0037] As a preferred solution, with the goal of minimizing the network loss of inter-provincial tie lines, a compilation model considering the available transmission power range of each province is established, specifically:
[0038] According to the transmission power of the AC tie line, the first objective function is established with the goal of minimizing the network loss of the inter-provincial tie line;
[0039] The first objective function is linearized, and a preset standard safety constraint unit combination model is introduced for modeling, so as to obtain the compilation model that takes into account the available transmission power range at each province; wherein the constraints of the standard safety constraint unit combination model include power system operation constraints, unit operation constraints and grid transmission constraints.
[0040] This preferred solution directly aims to minimize the network loss of inter-provincial interconnection lines, which helps to reduce energy loss in the power transmission process and improve power transmission efficiency. By linearizing the first objective function, complex nonlinear problems can be transformed into linear problems, thereby simplifying the calculation process and improving calculation efficiency. The standard safety constraint unit combination model contains several key constraints that can ensure that the power system operates under safe and stable conditions.
[0041] As a preferred solution, based on the performance parameters of the units in the several sub-regions, a regional power grid full model of the unit output is established, specifically:
[0042] Based on the performance parameters of the units in the plurality of sub-areas, and according to the correlation between the AC tie line power and the unit output and the node load, an AC / DC tie line optimization power model is established;
[0043] By limiting the output range of the forced output unit, a forced output model is established;
[0044] Based on the vibration characteristics of the hydropower unit, the output range of the hydropower unit is limited to obtain a hydropower vibration zone model;
[0045] The AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model constitute the regional power grid full model of the relevant unit output.
[0046] This optimal solution not only considers the correlation between the AC interconnection line power and the unit output and node load, but also combines the output range limitation of the forced output unit and the vibration characteristics of the hydropower unit, making the model more comprehensive and detailed.
[0047] The present application also provides a tie line power adjustment device considering feasible domain constraints, comprising a data module, a constraint module, a first model module, a second model module and an adjustment module;
[0048] Wherein, the data module is used to obtain the operation boundary data of several sub-regions in the province;
[0049] The constraint module is used to calculate the power transmission range of the feasible domain of the inter-provincial interconnection line by decoupling and reducing the dimension in different time periods based on the operation boundary data;
[0050] The first model module is used to establish a compilation model that takes into account the available transmission power range of each province with the goal of minimizing the network loss of the inter-provincial tie line;
[0051] The second model module is used to establish a regional power grid full model of the output of the relevant units based on the performance parameters of the units in the plurality of sub-regions;
[0052] The adjustment module is used to jointly solve the compilation model and the regional power grid full model based on the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, obtain the interconnection line power plan of the several sub-regions, and adjust the interconnection line power of the several sub-regions according to the interconnection line power plan.
[0053] As a preferred solution, the constraint module includes a calculation unit, a dimension reduction unit and a solution unit;
[0054] The calculation unit is used to establish a sub-region operation constraint set of the power system based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the power system operation, and calculate the feasible area of the power generation capacity of the units in the province according to the sub-region operation constraint set of the power system;
[0055] The dimension reduction unit is used to reduce the feasible region to a spatial dimension containing only the tie line injection power based on the dimension reduction mapping technology, so as to obtain feasible regions of the tie line exchange power in a plurality of single sub-regions;
[0056] The solving unit is used to solve the feasible space boundary of the interconnection line power transmission in each time period within the province according to the interconnection line exchange power feasible domain within the several single sub-areas, and obtain the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0057] As a preferred solution, the solution unit includes a construction subunit, an intersection subunit and a power subunit;
[0058] The construction subunit is used to construct a convex polyhedron and calculate a boundary hyperplane based on the feasible domains of the interconnection line exchange powers in the several single sub-areas, so as to obtain the feasible domains of the interconnection line exchange powers in the target time periods in the several single sub-areas;
[0059] The intersection subunit is used to perform intersection operation on the feasible domains of the interconnection line exchange power in the target time periods of the several single sub-areas to obtain the feasible domains of the interconnection lines in the target time periods of the several sub-areas in the regional interconnection mode;
[0060] The power subunit is used to compare the sum of the net input power at each vertex in the feasible domain of the interconnection line during the target period by means of vertex search, so as to obtain the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0061] As a preferred solution, the construction subunit is specifically:
[0062] Based on the feasible domain of the interconnection line exchange power in the several single sub-areas, several planned operation points are selected as vertices within the target scheduling period of the several sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation state that the power system can achieve within the target scheduling period; the convex polyhedron represents the set of operation states of the power system within the target scheduling period;
[0063] Solve the minimum set of hyperplanes that can completely surround the convex polyhedron to obtain a set of boundary hyperplanes;
[0064] Starting from the convex polyhedron, by translating the boundary hyperplane set outward, a comprehensive operating point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system is obtained, and the comprehensive operating point constitutes the feasible domain of the interconnection line exchange power in the target time period in the several single sub-areas.
[0065] As a preferred solution, the power subunit is specifically:
[0066] The transmission power of the feasible region of the tie line in the target period under extreme conditions is defined as a vertex set;
[0067] For each vertex in the vertex set, a sum of net input power is calculated according to input power and load;
[0068] By comparing the sum of the net input power corresponding to each vertex in the vertex set, the maximum transmission power and the minimum transmission power of the interconnection line in the feasible domain are obtained, and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0069] As a preferred solution, the computing unit includes an operation subunit, a power subunit and a safety subunit;
[0070] The operation subunit is used to establish a physical and operation constraint set based on the operation boundary data and according to the balance relationship between power generation and load in the plurality of sub-areas; wherein the physical and operation constraint set includes a power balance constraint in the sub-area, a regulating power constraint of the unit in the sub-area, and a ramp constraint in the sub-area;
[0071] The power subunit is used to establish safety constraints within the sub-areas according to the preset allowable fluctuation range of the power of each node in the plurality of sub-areas;
[0072] The safety subunit is used to form the power system sub-area operation constraint set by using the physical and operation constraint set and the safety constraints in the sub-area.
[0073] As a preferred solution, the first model module includes a target unit and a compilation unit;
[0074] The target unit is used to establish a first target function based on the transmission power of the AC tie line with the goal of minimizing the network loss of the inter-provincial tie line;
[0075] The compilation unit is used to linearize the first objective function and introduce a preset standard safety constraint unit combination model for modeling, so as to obtain the compilation model that takes into account the available transmission power range at each province; wherein the constraints of the standard safety constraint unit combination model include power system operation constraints, unit operation constraints and grid transmission constraints.
[0076] As a preferred solution, the second model module includes an optimization unit, a force unit, a hydropower unit and a synthesis unit;
[0077] The optimization unit is used to establish an AC / DC interconnection line optimization power model based on the performance parameters of the units in the plurality of sub-areas and the correlation between the AC interconnection line power and the unit output and the node load;
[0078] The forcing unit is used to establish a forced output model by limiting the output range of the forced output unit;
[0079] The hydropower unit is used to limit the output range of the hydropower unit based on the vibration characteristics of the hydropower unit to obtain a hydropower vibration zone model;
[0080] The synthesis unit is used to form the regional power grid full model of the relevant unit output by using the AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model.
[0081] The present application also provides a storage medium, on which a computer program is stored. The computer program is called and executed by a computer to implement the above-mentioned method for adjusting the power of a tie line considering the constraints of a feasible domain. BRIEF DESCRIPTION OF THE DRAWINGS
[0082] Figure 1 It is a flow chart of a method for adjusting tie line power taking into account feasible domain constraints provided in an embodiment of the present application;
[0083] Figure 2 It is a flowchart of the constraint dimensionality reduction of the feasible domain of the provincial tie line and the determination of the upper and lower limits of the transmission capacity provided by the embodiment of the present application;
[0084] Figure 3 It is a diagram of a method for reducing iterative feedback provided in an embodiment of the present application;
[0085] Figure 4 It is a flow chart of the connection line plan preparation provided by the embodiment of the present application;
[0086] Figure 5 It is a structural schematic diagram of a tie line power adjustment device taking into account feasible domain constraints provided in an embodiment of the present application. DETAILED DESCRIPTION
[0087] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0088] In the description of this application, it should be understood that the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "several" means two or more.
[0089] The embodiment of the present application provides a method for adjusting the power of interconnection lines taking into account the constraints of the feasible domain. The method is mainly used in situations where it is necessary to comprehensively improve the rationality and efficiency of interconnection line planning, thereby improving the effectiveness of interconnection line power adjustment, to ensure that power dispatching can show higher flexibility and accuracy, respond to market changes in a timely manner, promote the optimal allocation of energy resources, and provide strong technical support for solving energy shortage problems.
[0090] Embodiment 1:
[0091] See also Figure 1 The embodiment of the present application provides a method for adjusting the power of a tie line considering the constraints of a feasible region, including S1 to S5, and the specific implementation steps are as follows:
[0092] S1. Obtain the operating boundary data of several sub-regions within the province.
[0093] Step S1 of the embodiment of the present application is specifically as follows:
[0094] Obtain the operating boundary data of several sub-regions within several provinces in multiple time series scenarios; wherein, the operating boundary data refers to the value range or restriction conditions of key parameters such as power, voltage, current, etc. of each part (such as units, generators, transmission lines, substations, etc.) of the power system under normal operation or specific conditions.
[0095] S2. Based on the operation boundary data, the power transmission range of the feasible domain of the inter-provincial interconnection line is calculated by decoupling and reducing the dimension in different time periods.
[0096] Step S2 of the embodiment of the present application includes S2.1 to S2.3; wherein S2.1 is a process of obtaining the feasible domain of the tie line exchange power in several single sub-areas by solving constraints, S2.2 is a process of obtaining the feasible domain of the tie line exchange power by decoupling dimension reduction and vertex search in time periods, and S2.3 is a process of obtaining the maximum transmission power and the minimum transmission power of the tie line in the feasible domain, specifically:
[0097] S2.1. Based on the operation boundary data and the balance relationship between power generation and load in several sub-regions, a set of physical and operation constraints is established; wherein the set of physical and operation constraints includes power balance constraints in the sub-regions, regulating power constraints of the units in the sub-regions, and ramp constraints in the sub-regions; and the power balance constraints in the sub-regions, the regulating power constraints of the units in the sub-regions, and the ramp constraints in the sub-regions can be respectively expressed as “Formula (1), Formula (2), Formula (3), and Formula (4)”;
[0098] Establishing safety constraints in the sub-areas according to the preset allowable fluctuation range of the power of each node in the sub-areas;
[0099] The sub-regional operation constraint set of the power system is composed of the physical and operation constraint set and the safety constraints in the sub-region; the sub-regional operation constraint set of the power system is solved to obtain the feasible area of the power generation capacity of the units in the province.
[0100] Based on the dimensionality reduction mapping technology, the feasible area The space dimension is reduced to only include the tie line injection power for dimensionality reduction projection, so that the tie line feasible domain of all time periods is decomposed into the tie line feasible domain of each scheduling period, and the tie line exchange power feasible domains in several single sub-areas for different time periods are obtained; among the tie line exchange power feasible domains in several single sub-areas, the tie line exchange power feasible domain in a single sub-area can be expressed as
[0101] Among them, the power balance constraint in the sub-area is:
[0102]
[0103] The regulation power constraint of the units in the sub-area is:
[0104]
[0105] The climbing constraint in the sub-area is:
[0106]
[0107] The security constraints within the sub-region are:
[0108]
[0109] Among them, P Ge represents the power output matrix of the sub-regional units, P TL represents the tie line node power matrix of the sub-area; P LD represents the node load matrix of the sub-area; where the matrix P Ge , P TL , P LDThe number of rows represents the number of unit output, tie line nodes and load nodes, and the number of columns represents the number of scheduling periods. TL 、e Ge 、e LD Represents dimension and P respectively Ge , P TL , P LD The corresponding column vector with elements of 1; and the T in the upper right corner of each parameter represents the symbol of matrix transposition, which is used to ensure the unity of dimension during the calculation process;
[0110] P Ge,min and P Ge,max Respectively represent the minimum and maximum output ranges of the units in the sub-area;
[0111] Respectively represent the limit vectors of the up and down ramps of the units in the sub-area; e i is a unit column vector of the dimension of the number of scheduling periods, where the i-th element is 1;
[0112] They represent the column vectors of the forward and reverse limits of the safety constraints; e H is a column vector with the same dimension as the number of scheduling periods and all elements are 1; A Ge , A TL , A LD They are the power flow transfer matrices of the nodes where the units, tie lines and loads are located.
[0113] Among them, the feasible areas for the power generation capacity of the units in the province are:
[0114]
[0115] The feasible region of the interconnection line exchange power in a single sub-area is:
[0116]
[0117] in, Represents the constraint range composed of tie-line units and nodes, specifically: represents the set of all possible power generation and transmission powers; where N Ge is the number of generating units, N TL is the number of transmission lines, N H is the number of time periods, this set is a vector space over the real number field, and its dimension is (N Ge +N TL )×N H ; Express Dimensionality reduction of the proposed constraints;
[0118] In addition, the formulas corresponding to the feasible region of the generating capacity of the units within the province and the feasible region of the interconnection line exchange power within a single sub-region can be defined as "Formula (5) and Formula (6)" respectively.
[0119] By establishing a set of physical and operational constraints, this embodiment S2.1 can accurately describe the balance between power generation and load in each sub-area, ensure real-time matching of power supply and demand, and thus avoid system instability caused by power surplus or shortage. By establishing safety constraints in the sub-area, the fluctuation range of power at each node can be limited to prevent the impact of excessive or insufficient power fluctuations on the system, thereby improving the safety of the system;
[0120] In addition, the dimension reduction mapping technology is used to simplify the complex power system problem into a spatial dimension that only contains the power injected by the tie line, which greatly reduces the computational complexity of the problem and can avoid conflicts with the operating boundary conditions of the sub-area when evaluating the power exchange range of the tie line. By establishing an operating constraint set and calculating the feasible spatial boundary of the tie line power transmission, safety issues such as overload and instability in the power system can be effectively avoided.
[0121] S2.2. Based on the vertex search method, based on the feasible domain of interconnection line exchange power in several single sub-areas, several planned operation points are selected as vertices in the k dispatching periods of several sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation state that the power system can achieve in the k dispatching period; the convex polyhedron represents the set of operation states of the power system in the k dispatching period;
[0122] Solve the minimum set of hyperplanes that can completely surround the convex polyhedron and obtain the boundary hyperplane set y n ; Among them, the boundary hyperplane in the boundary hyperplane set can be expressed as y n , and satisfy the following formula:
[0123]
[0124] Among them, a n Represents the coefficient column vector of the nth hyperplane; y n Represents the value of the nth hyperplane equation; N represents the point set The number of boundary planes of the convex polyhedron represented.
[0125] Standardize the boundary hyperplane set. If the tie line power P TL,k The corresponding point is outside the plane, then y n ≥1;
[0126] Starting from the convex polyhedron, by translating the boundary hyperplane set outward and iterating the vertex search method until the boundaries before and after the plane movement almost coincide, the comprehensive operation point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system is obtained. The comprehensive operation point constitutes the feasible domain of the interconnection line exchange power in several single sub-areas in k time periods. Specifically: due to the collection The convex polyhedron is contained in the feasible domain Inside, so space When the nth hyperplane is translated outward, at least a new planned operating point P can be determined. T ′ L,k Just in On the boundary of T ′ L,k After incorporating the original set of operating points, the feasible domain The boundaries are more precise.
[0127] Among them, when obtaining the feasible region of the tie line in the nth period, the process of nth plane movement can be described by the following optimization model:
[0128]
[0129] By performing intersection operations on the feasible domains of the tie line exchange power in several single sub-regions in k time periods, several feasible domains of the tie line exchange power in sub-regions are obtained; among which, the feasible domain of the tie line exchange power in a single sub-region among the feasible domains of the tie line exchange power in several sub-regions can be expressed as
[0130] Among them, the feasible domain of sub-regional tie line exchange power is:
[0131]
[0132] In this embodiment S2.2, since the operation boundaries of different scheduling periods are different and there is a coupling relationship between the periods, based on this, this application proposes to use the vertex search method to analyze the feasible domain calculation of the tie line in the day-ahead scheduling scenario;
[0133] By constructing a convex polyhedron and solving the boundary hyperplane set, the feasible domain of the interconnection line exchange power can be efficiently calculated. This method avoids directly performing large-scale optimization calculations on complex power system models, thereby reducing computational complexity and improving computational efficiency. By translating the boundary hyperplane set outward, the comprehensive operating points that are located on the boundary of the convex polyhedron and meet the preset constraints of the power system can be obtained. These comprehensive operating points can be flexibly adjusted according to actual needs to adapt to different power system operating conditions and requirements.
[0134] S2.3. Perform intersection operation on the feasible domains of power exchange of interconnection lines in several sub-regions to obtain the feasible domains of interconnection lines in k time periods in several sub-regions under the regional interconnection mode.
[0135] The feasible region of the contact line in the target period The transmission power in the extreme case is defined as the vertex set;
[0136] For each vertex in the vertex set, the sum of the net input power is calculated based on the input power and the load;
[0137] After the forward transmission power is determined, vertex search is performed based on the vertex search method. By comparing the vertex set (feasible domain ) is calculated by summing up the net input power corresponding to each vertex in the graph to obtain the maximum transmission power and minimum transmission power of the interconnection line in the feasible domain (i.e., the upper and lower limits of the transmission power of the inter-provincial interconnection line, also known as the upper and lower limits of the available transmission power of the inter-provincial interconnection line), and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0138] Among them, the maximum transmission power and the minimum transmission power are:
[0139]
[0140] in, and are the maximum and minimum power transmission and reception between two sub-areas in time period k (maximum transmission power and minimum transmission power), Ω k is the feasible region of the tie line in time period i A set of vertices; L LT is the set of contact lines between two interconnected sub-areas; is the transmission power of the tie line corresponding to the kth vertex.
[0141] Among them, if the several sub-areas include sub-area 1 and sub-area 2, then in the two-area interconnection mode, the feasible domain of the tie line in time period k is:
[0142]
[0143] in, and They represent the feasible regions of the tie lines of sub-area 1 and sub-area 2 when the time period is k.
[0144] To apply the embodiments of this application, please refer to Figure 2-3 ;
[0145] Figure 2It is a flowchart of the dimension reduction of the feasible domain constraints and the determination of the upper and lower limits of the transmission capacity of the provincial interconnection line provided in the embodiment of the present application, which represents the general process of calculating the upper and lower limits of the transmission power of the inter-provincial interconnection line according to the operating boundary data within the province in the first embodiment of the present application.
[0146] Figure 3 It is a diagram of a method for reducing iterative feedback provided in an embodiment of the present application, which shows the advantages of the method of solving the "upper and lower limits of available transmission power of inter-provincial interconnection lines" in embodiment 1 of the present application compared with the prior art; wherein the first part represents the prior art, and the second part represents the solution of this embodiment.
[0147] In the present embodiment S2.3, in the two-area interconnection mode, the feasible domain of the interconnection line will be jointly constrained by the operating constraints of the two end sub-areas power grids. Based on the solution results of the feasible domains of the interconnection lines of the two sub-areas, the inequality constraints corresponding to the feasible domains of the interconnection lines of each sub-area are fully integrated through the intersection operation, thereby forming a new and more stringent interconnection line injection power range. Therefore, when analyzing the transmission power limit on the interconnection line of the two interconnected areas, the feasible domains obtained from the perspective of each sub-area can be directly subjected to intersection operations to reflect the influence of the sending and receiving terminal areas on the exchange power of the interconnection line;
[0148] Moreover, based on the intersection operation, the feasible region of power exchange of interconnection lines common to all sub-regions in a specific period of time can be accurately found, which ensures the coordination and consistency of power transmission in each region under the interconnection mode and helps maintain the overall stability of the power system;
[0149] In addition, defining the transmission power in extreme cases as a vertex set provides a clear and specific reference point for determining the transmission power of the tie line, which helps to more accurately grasp the transmission characteristics of the tie line in subsequent calculations and analyses. By calculating the sum of the net input power of each vertex, the maximum and minimum transmission power of the tie line in the feasible domain can be accurately obtained. This method avoids the calculation errors and uncertainties caused by directly performing large-scale simulation and optimization of complex power systems.
[0150] In summary, in the process of solving the feasible domain of the tie line in this embodiment S2, the output of the generator set in the sub-region and the injected power of the tie line node can be used as scheduling decision variables to represent the scheduling feasible domain of the sub-region. Since these variables mathematically constitute a convex polyhedron in a high-dimensional space, for the convenience of analysis, they are projected into a low-dimensional space containing only the tie line variables to determine the feasible domain of the tie line. In the feasible domain after dimensionality reduction processing, the tie line power configuration corresponding to any point can correspond to at least one executable scheduling scheme in the high-dimensional scheduling feasible domain. Therefore, the power feasible domain obtained by projection is consistent with the operating restrictions of the sub-region power grid, ensuring that no conflicts occur.
[0151] S3. With the goal of minimizing the network loss of inter-provincial interconnection lines, a compilation model is established that takes into account the available transmission power range at each province.
[0152] Step S3 of the embodiment of the present application is specifically as follows:
[0153] According to the transmission power of the AC tie line, the first objective function F is established with the goal of minimizing the network loss of the inter-provincial tie line; wherein the goal of the first objective function is to minimize the total network loss in all time periods t, which is divided into two parts: AC and DC;
[0154] According to the preset formula, the first objective function F is linearized for the DC interconnection line loss, and the preset standard safety constraint unit combination model is introduced to realize the modeling of the unit regulation capability and safety constraint limit, and the compilation model considering the available transmission power range of each province is obtained;
[0155] Among them, the constraints of the standard safety constraint unit commitment model include power system operation constraints, unit operation constraints and grid transmission constraints. The constraints specifically include:
[0156] ① Power system operation constraints: load balance constraints in each province and region, system positive and negative reserve capacity constraints, and system spinning reserve capacity constraints.
[0157] ② Unit operation constraints: unit output upper and lower limit constraints, unit climbing constraints, unit minimum continuous start and stop time constraints, unit maximum start and stop times constraints, unit power constraints, unit specified state constraints, etc.
[0158] ③ Grid transmission constraints: line flow constraints and section flow constraints.
[0159] Among them, the first objective function is:
[0160]
[0161] The preset formula is:
[0162]
[0163] Among them, in the first objective function: N T is the total number of time periods, N AC is the number of AC lines, N DC is the number of DC lines, K j is the network loss coefficient of AC line j; is the transmission power of AC line j at time t; K m is the network loss coefficient of DC line m; is the transmission power of DC line m at time t;
[0164] In the preset linearized expression (first formula): is the total transmission power of DC line j at time t; I(j) is the number of nodes on DC line j, K j is the coefficient of node i on DC line j; is the transmission power of node i on DC line j at time t; is the power change of node i on DC line j at time t;
[0165] In the preset formula, the total power constraint (the second formula) is used to ensure that the total transmission power of the DC line j at time t is equal to the sum of the power changes of all nodes;
[0166] In the preset power change constraint (Formula 3), the power change of node i at time t must be between 0 and its maximum allowed change h j,i,t between;
[0167] In the preset formula, the fourth formula is the definition of the maximum change, that is, the maximum allowable power change of node i at time t needs to be equal to the power difference between the current node and the previous node at time t.
[0168] In this embodiment S3, the goal is to minimize the network loss of the inter-provincial tie line, which helps to reduce the energy loss in the power transmission process and improve the power transmission efficiency. By linearizing the first objective function, complex nonlinear problems can be converted into linear problems, thereby simplifying the calculation process and improving the calculation efficiency. The standard safety constraint unit combination model contains several key constraints, which can ensure that the power system operates under safe and stable conditions.
[0169] S4. Based on the performance parameters of the units in several sub-regions, a regional power grid full model of the output of the relevant units is established.
[0170] Step S4 of the embodiment of the present application includes S4.1 to S4.3, wherein S4.1 is a process of establishing an optimized power model of AC and DC interconnection lines, S4.2 is a process of establishing a forced output model, and S4.3 is a process of establishing a hydropower vibration zone model and obtaining a regional power grid full model, specifically:
[0171] S4.1. Based on the performance parameters of the units in several sub-areas, on the basis of the first constraint set, according to the correlation between the AC tie line power and the unit output and the node load, modeling is performed according to the line flow to obtain the AC / DC tie line optimization power model;
[0172] The first constraint set includes node load balance constraints, DC tie line ramp constraints, all-day DC regulation times limit constraints, and DC tie line power cannot be reversely adjusted in adjacent time periods. The details are as follows:
[0173] ① Node load balance constraint: The injected power and output power of the multi-terminal DC hub node should be equal;
[0174] ② DC tie line ramp constraint: When the DC tie line power is adjusted up / down, the ramp rate requirement must be met;
[0175] ③ All-day DC regulation frequency limit constraint: control the number of changes in DC tie line power within a certain range throughout the day;
[0176] ④ The constraint that the power of the DC interconnection line cannot be adjusted in the opposite direction in adjacent time periods (modeling is considered based on the DC interconnection line group): the power of the DC interconnection line cannot first increase and then decrease, or first decrease and then increase in adjacent time periods.
[0177] Among them, the optimized power model of AC and DC interconnection lines is:
[0178]
[0179] in, is the transmission power of the AC tie line l in the region during period t, Ge l,i ,Ge l,m and Ge l,q are the generator output power transfer distribution factors of the nodes where the DC tie lines m and q in the region are located to the AC tie line l in the region, respectively; is the transmission power of the DC tie line m in the region during period t; Q is the number of nodes in the entire network; D q,t is the bus load value of node q in period t; In order to optimize the variables, the sending and receiving ends of the DC interconnection line are used as node loads and node injections respectively.
[0180] S4.2. Limit the output P of the forced output unit i,t Within its maximum allowable output range and minimum output range Within, thus establishing a forced output model;
[0181] Among them, the processing methods for different types of forced output units are as follows:
[0182] ① Class A units: During the startup period (α i,t =1) must be produced according to the predetermined plan, and during the downtime period (α i,t =0) then there is no specific output requirement;
[0183] ② The unit that must be turned on: During the period when it must be turned on (α i,t =1), and also need to follow the predetermined plan to produce power. If there is a minimum output limit, then these units must meet this minimum output requirement;
[0184] ③Cogeneration units: During their operation period (α i,t =1), its output must meet the upper and lower limits of output calculated based on the planned heating flow;
[0185] ④ Debugging units: During their debugging period (α i,t =1), its output should be consistent with the commissioning plan.
[0186] S4.3. Based on the vibration characteristics of the hydropower unit, the output range of the hydropower unit / unit is limited to prevent the hydropower unit / unit from entering the output range corresponding to the vibration zone during operation, and a hydropower vibration zone model is obtained, and the unit output in the hydropower vibration zone model is limited by an output restriction formula set; wherein the output restriction formula set includes a first restriction formula and a second restriction formula;
[0187] The whole regional power grid model of the relevant unit output is composed of the AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model.
[0188] Among them, the hydropower vibration zone model is:
[0189]
[0190] The first restriction is:
[0191]
[0192] The second restriction is:
[0193]
[0194] in, Respectively represent the lower limit and upper limit of the kth unit in the first vibration zone; when α k,1,t When it is 1, it means that the kth unit is in the t period Between; P k,1,t It indicates the output of the first operating interval when the kth unit is in the first operating interval at the early t period;
[0195] Furthermore, the first restriction formula is used to restrict the unit output to fall within a certain operable range, and the second restriction formula is used to restrict the unit output to fall within only one of the operating ranges.
[0196] This embodiment S4 not only considers the correlation between the AC tie line power and the unit output and node load, but also combines the output range limit of the forced output unit and the vibration characteristics of the hydropower unit, making the model more comprehensive and detailed; and, by improving the existing regional power grid through extended modeling, the tie line planning method obtained by comprehensively optimizing the regional power grid model can be made more efficient and reasonable, and its scientific basis is also improved;
[0197] Based on the available power range of the provincial tie lines obtained by solving Example S2, the maximum and minimum values of the available transmission power of the inter-provincial tie lines that meet the safety constraints within the province can be accurately evaluated, avoiding the iterative feedback process between the provinces and the regional power grid full model for transmission power, and improving the efficiency of tie line planning. However, the model based on the planned electricity volume of the tie line only compiles medium- and long-term planning results, and does not fully consider the operation of the power grid under short-term frequency. Therefore, when the power grid operation boundaries are more detailed, the maximum and minimum limits of the transmission power of the tie lines between provinces are substituted into the regional power grid full model to obtain a more accurate tie line plan.
[0198] S5. Taking the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, the compilation model and the regional power grid full model are solved jointly to obtain the interconnection line power plans of several sub-regions, and the interconnection line powers of several sub-regions are adjusted according to the interconnection line power plans.
[0199] Step S5 of the embodiment of the present application is specifically as follows:
[0200] Taking the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, the compilation model and the regional power grid full model are solved jointly to obtain the interconnection line power plan (interconnection line plan) of several sub-regions;
[0201] According to the interconnection line power plan, the transmission power of the interconnection lines connecting different sub-areas is adjusted to ensure the stable operation of the power system and meet the load demand.
[0202] It should be noted that this application aims to reduce the workload of iterative analysis between provincial and grid-level dispatching agencies, solve the upper and lower limits of inter-provincial interconnection line transmission power based on the idea of dimensionality reduction and vertex search method, and streamline the calculation components of the interconnection line part in the full model of the regional power grid, thereby enhancing the timeliness and rationality of interconnection line planning and ensuring the effectiveness of interconnection line power adjustment.
[0203] To apply the embodiments of this application, please refer to Figure 4 , Figure 4 : is a flow chart of the tie line plan preparation provided by the embodiment of the present application, which shows the process of preparing the tie line plan in the first embodiment of the present application, which is roughly as follows:
[0204] Firstly, the operation constraints of the provincial power grid are decoupled and reduced in dimension according to time periods, and the feasible domain of the tie lines in each time period is solved based on the vertex search method. Then, the intersection of the feasible domains of the interconnected tie lines is calculated, and the upper and lower limits of the power transmission capacity of the tie lines are obtained again using the vertex search method.
[0205] Next, the upper and lower limits of the available transmission power of the interconnection line are used as one of the constraints of the whole network operation plan, reducing the workload of iterative feedback in the process of optimizing the inter-provincial interconnection line plan;
[0206] Finally, the constraints of the regional power grid are expanded and modeled, and the method of compiling the interconnection line plan is made more reasonable and efficient through the optimization of the entire regional power grid model.
[0207] Overall, this embodiment has the following beneficial effects:
[0208] In this application, the time-division decoupling and dimensionality reduction method can more accurately reflect the power demand and supply in different time periods, which is helpful to formulate a more reasonable interconnection line power plan; and the power transmission range of the feasible domain of the inter-provincial interconnection line calculated based on the power data provides a clear constraint condition for the optimal configuration of the interconnection line power. This range ensures that the transmission of the interconnection line power will neither exceed the limit nor fall below the minimum requirement, thereby ensuring the stable operation of the power system. The compilation model established with the goal of minimizing the network loss of inter-provincial interconnection lines is helpful to achieve the optimal configuration of power resources. The regional power grid full model established based on the performance parameters of the units in several sub-regions can more comprehensively reflect the actual situation of the power system and provide strong support for optimizing the interconnection line power configuration. Therefore, by combining the power transmission range and the above-mentioned model for joint solution, a interconnection line power plan that satisfies the power transmission range constraint and minimizes the network loss can be obtained for optimal configuration.
[0209] The present application establishes a power transmission range and model by comprehensively considering the power transmission range, network loss and unit output, so as to solve the interconnection line power plan that satisfies the power transmission range constraint and minimizes the network loss for power adjustment, which helps to reduce power waste and improve energy utilization efficiency. Therefore, it can solve the problem of difficulty in effectively optimizing the interconnection line power configuration of several sub-regions between provinces.
[0210] Embodiment 2:
[0211] See also Figure 5 , an embodiment of the present application provides a tie line power adjustment device considering feasible domain constraints, including a data module 10, a constraint module 20, a first model module 30, a second model module 40 and an adjustment module 50;
[0212] Wherein, the data module 10 is used to obtain the power data of several sub-regions in the province;
[0213] The constraint module 20 is used to calculate the power transmission range of the feasible domain of the inter-provincial interconnection line based on the power data by decoupling and reducing the dimension in different time periods;
[0214] The first model module 30 is used to establish a compilation model that takes into account the available transmission power range of each province with the goal of minimizing the network loss of the inter-provincial tie line;
[0215] The second model module 40 is used to establish a regional power grid full model of the output of the relevant units based on the performance parameters of the units in the several sub-regions;
[0216] The adjustment module 50 is used to jointly solve the compilation model and the regional power grid full model based on the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, obtain the interconnection line power plan of several sub-regions, and adjust the interconnection line power of several sub-regions according to the interconnection line power plan.
[0217] In one embodiment, the data module 10 is specifically:
[0218] Obtain the operating boundary data of several sub-regions within several provinces in multiple time series scenarios; wherein, the operating boundary data refers to the value range or restriction conditions of key parameters such as power, voltage, current, etc. of each part (such as generators, transmission lines, substations, etc.) of the power system under normal operation or specific conditions.
[0219] In one embodiment, the constraint module 20 includes an operation subunit, a power subunit, a safety subunit, a dimensionality reduction unit, a construction subunit, an intersection subunit, and a power subunit; wherein the operation subunit, the power subunit, the safety subunit, and the dimensionality reduction unit are processes for obtaining the feasible domain of the tie line exchange power in several single sub-areas by solving constraints, the construction subunit is a process for obtaining the feasible domain of the tie line exchange power by decoupling dimensionality reduction and vertex search in time periods, and the intersection subunit and the power subunit are processes for obtaining the maximum transmission power and the minimum transmission power of the tie line in the feasible domain;
[0220] The operation subunit is used to establish a physical and operation constraint set based on the operation boundary data and the balance relationship between power generation and load in the plurality of sub-areas; wherein the physical and operation constraint set includes a power balance constraint in the sub-area, a regulating power constraint of the unit in the sub-area, and a ramp constraint in the sub-area; and the power balance constraint in the sub-area, the regulating power constraint of the unit in the sub-area, and the ramp constraint in the sub-area can be respectively expressed as “Formula (1), Formula (2), Formula (3), and Formula (4)”;
[0221] A power subunit, used to establish safety constraints in the sub-areas according to the preset allowable fluctuation range of the power of each node in the sub-areas;
[0222] The safety subunit is used to form the power system sub-region operation constraint set from the physical and operation constraint set and the safety constraints in the sub-region; solve the power system sub-region operation constraint set to obtain the feasible area Φ of the power generation capacity of the units in the province PG e , PTL ;
[0223] The dimension reduction unit is used to convert the feasible area into The space dimension is reduced to only include the tie line injection power for dimensionality reduction projection, so that the tie line feasible domain of all time periods is decomposed into the tie line feasible domain of each scheduling period, and the tie line exchange power feasible domains in several single sub-areas for different time periods are obtained; among the tie line exchange power feasible domains in several single sub-areas, the tie line exchange power feasible domain in a single sub-area can be expressed as
[0224] Among them, the power balance constraint in the sub-area is:
[0225]
[0226] The regulation power constraint of the units in the sub-area is:
[0227]
[0228] The climbing constraint in the sub-area is:
[0229]
[0230] The security constraints within the sub-region are:
[0231]
[0232] Among them, P Ge represents the power output matrix of the sub-regional units, P TL represents the tie line node power matrix of the sub-area; P LD represents the node load matrix of the sub-area; where the matrix P Ge , P TL , P LD The number of rows represents the number of unit output, tie line nodes and load nodes, and the number of columns represents the number of scheduling periods. TL 、e Ge 、e LD Represents dimension and P respectively Ge , P TL , P LD The corresponding column vector with elements equal to 1;
[0233] P Ge,min and P Ge,maxRespectively represent the minimum and maximum output ranges of the units in the sub-area;
[0234] Respectively represent the limit vectors of the up and down ramps of the units in the sub-area; e i is a unit column vector of the dimension of the number of scheduling periods, where the i-th element is 1; and the T in the superscript of each parameter represents the symbol of the matrix transpose, which is used to ensure the uniformity of the dimension during the calculation process;
[0235] They represent the column vectors of the forward and reverse limits of the safety constraints; e H is a column vector with the same dimension as the number of scheduling periods and all elements are 1; A Ge , A TL , A LD They are the power flow transfer matrices of the nodes where the units, tie lines and loads are located.
[0236] Among them, the feasible areas for the power generation capacity of the units in the province are:
[0237]
[0238] The feasible region of the interconnection line exchange power in a single sub-area is:
[0239]
[0240] in, Represents the constraint range composed of tie-line units and nodes, specifically: represents the set of all possible power generation and transmission powers; where N Ge is the number of generating units, N TL is the number of transmission lines, N H is the number of time periods, this set is a vector space over the real number field, and its dimension is (N Ge +N TL )×N H ; Express Dimensionality reduction of the proposed constraints;
[0241] In addition, the formulas corresponding to the feasible region of the generating capacity of the units within the province and the feasible region of the interconnection line exchange power within a single sub-region can be defined as "Formula (5) and Formula (6)" respectively.
[0242] The operation subunit, power subunit, safety subunit and dimension reduction unit of this embodiment can accurately describe the balance relationship between power generation and load in each sub-area by establishing a set of physical and operation constraints, ensuring real-time matching of power supply and demand, thereby avoiding system instability caused by power surplus or shortage. By establishing safety constraints in the sub-area, the fluctuation range of power of each node can be limited to prevent the impact of excessive or insufficient power fluctuations on the system, thereby improving the safety of the system;
[0243] In addition, the dimension reduction mapping technology is used to simplify the complex power system problem into a spatial dimension that only contains the power injected by the tie line, which greatly reduces the computational complexity of the problem and can avoid conflicts with the operating boundary conditions of the sub-area when evaluating the power exchange range of the tie line. By establishing an operating constraint set and calculating the feasible spatial boundary of the tie line power transmission, safety issues such as overload and instability in the power system can be effectively avoided.
[0244] A subunit is constructed, which is used to select several planned operation points as vertices in k scheduling periods of several sub-areas based on the vertex search method and the feasible domain of the interconnection line exchange power in several single sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation states that the power system can achieve in the k scheduling period; and the convex polyhedron represents the set of operation states of the power system in the k scheduling period;
[0245] Constructing subunits is also used to solve the minimum set of hyperplanes that can completely surround the convex polyhedron and obtain the boundary hyperplane set y n ; Among them, the boundary hyperplane in the boundary hyperplane set can be expressed as y n , and satisfy the following formula:
[0246]
[0247] Among them, a n Represents the coefficient column vector of the nth hyperplane; y n Represents the value of the nth hyperplane equation; N represents the point set The number of boundary planes of the convex polyhedron represented.
[0248] Construct subunits and also use them to normalize the boundary hyperplane set. If the tie line power P TL,k The corresponding point is outside the plane, then y n ≥1;
[0249] The sub-unit is also used to start from the convex polyhedron, by translating the boundary hyperplane set outward, iterating the vertex search method until the boundaries before and after the plane movement almost coincide, and obtain the comprehensive operation point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system. The comprehensive operation point constitutes the feasible domain of the interconnection line exchange power in the k period in several single sub-areas Specifically: due to the collection The convex polyhedron is contained in the feasible domain Inside, so space When the nth hyperplane is translated outward, at least a new planned operating point P can be determined. T ′ L,k Just in On the boundary of T ′ L,k After incorporating the original set of operating points, the feasible domain The boundaries are more precise.
[0250] Among them, when obtaining the feasible region of the tie line in the nth period, the process of nth plane movement can be described by the following optimization model:
[0251]
[0252] By performing intersection operations on the feasible domains of the tie line exchange power in several single sub-regions in k time periods, several feasible domains of the tie line exchange power in sub-regions are obtained; among which, the feasible domain of the tie line exchange power in a single sub-region among the feasible domains of the tie line exchange power in several sub-regions can be expressed as
[0253] Among them, the feasible domain of sub-regional tie line exchange power is:
[0254]
[0255] In the construction of subunits in this embodiment, since the operation boundaries of different scheduling periods are different and there is a coupling relationship between the periods, based on this, this application proposes to use the vertex search method to analyze the feasible domain calculation of the tie line in the day-ahead scheduling scenario;
[0256] By constructing a convex polyhedron and solving the boundary hyperplane set, the feasible domain of the interconnection line exchange power can be efficiently calculated. This method avoids directly performing large-scale optimization calculations on complex power system models, thereby reducing computational complexity and improving computational efficiency. By translating the boundary hyperplane set outward, the comprehensive operating points that are located on the boundary of the convex polyhedron and meet the preset constraints of the power system can be obtained. These comprehensive operating points can be flexibly adjusted according to actual needs to adapt to different power system operating conditions and requirements.
[0257] The intersection subunit is used to perform intersection operations on the feasible domains of the power exchange of the interconnection lines of several sub-regions, and obtain the feasible domains of the interconnection lines of several sub-regions in the k-time period under the regional interconnection mode.
[0258] The power subunit is used to convert the target period tie line feasible region The transmission power in the extreme case is defined as the vertex set;
[0259] The power subunit is further used to calculate the sum of the net input power according to the input power and the load for each vertex in the vertex set;
[0260] The power subunit is also used to determine the forward transmission power and then perform vertex search based on the vertex search method, by comparing the vertex set (feasible domain ) is calculated by summing up the net input power corresponding to each vertex in the graph to obtain the maximum transmission power and minimum transmission power of the interconnection line in the feasible domain (i.e., the upper and lower limits of the transmission power of the inter-provincial interconnection line, also known as the upper and lower limits of the available transmission power of the inter-provincial interconnection line), and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
[0261] Among them, the maximum transmission power and the minimum transmission power are:
[0262]
[0263] in, and are the maximum and minimum power transmission and reception between two sub-areas in time period k (maximum transmission power and minimum transmission power), Ω k is the feasible region of the tie line in time period i A set of vertices; L LT is the set of contact lines between two interconnected sub-areas; is the transmission power of the tie line corresponding to the kth vertex.
[0264] Among them, if the several sub-areas include sub-area 1 and sub-area 2, then in the two-area interconnection mode, the feasible domain of the tie line in time period k is:
[0265]
[0266] in, and They represent the feasible regions of the tie lines of sub-area 1 and sub-area 2 when the time period is k.
[0267] To apply the embodiments of this application, please refer to Figure 2-3 ;
[0268] Figure 2 It is a flowchart for reducing the dimension of the feasible domain constraints of provincial interconnection lines and determining the upper and lower limits of transmission capacity provided in an embodiment of the present application, which represents the general process of calculating the upper and lower limits of the transmission power of inter-provincial interconnection lines according to the operating boundary data within the province in embodiment 2 of the present application.
[0269] Figure 3It is a diagram of a method for reducing iterative feedback provided in an embodiment of the present application, which shows the advantages of the method of solving the "upper and lower limits of available transmission power of inter-provincial interconnection lines" in embodiment 2 of the present application compared with the prior art; wherein the first part represents the prior art, and the second part represents the solution of this embodiment.
[0270] In the intersection subunit and power subunit of this embodiment, in the two-area interconnection mode, the feasible domain of the interconnection line will be jointly constrained by the operating constraints of the two end sub-areas power grid. Based on the solution results of the feasible domains of the interconnection lines of the two sub-areas, the inequality constraints corresponding to the feasible domains of the interconnection lines of each sub-area are fully integrated through the intersection operation, thereby forming a new and more stringent interconnection line injection power range. Therefore, when analyzing the transmission power limit on the interconnection line of the two interconnected areas, the feasible domains obtained from the perspective of each sub-area can be directly intersected to reflect the influence of the sending and receiving terminal areas on the exchange power of the interconnection line;
[0271] Moreover, based on the intersection operation, the feasible region of power exchange of interconnection lines common to all sub-regions in a specific period of time can be accurately found, which ensures the coordination and consistency of power transmission in each region under the interconnection mode and helps maintain the overall stability of the power system;
[0272] In addition, defining the transmission power in extreme cases as a vertex set provides a clear and specific reference point for determining the transmission power of the tie line, which helps to more accurately grasp the transmission characteristics of the tie line in subsequent calculations and analyses. By calculating the sum of the net input power of each vertex, the maximum and minimum transmission power of the tie line in the feasible domain can be accurately obtained. This method avoids the calculation errors and uncertainties caused by directly performing large-scale simulation and optimization of complex power systems.
[0273] In summary, in the process of solving the feasible domain of the tie line, the constraint module 20 of this embodiment can use the output of the generator set in the sub-region and the injected power of the tie line node as scheduling decision variables to represent the scheduling feasible domain of the sub-region. Since these variables mathematically constitute a convex polyhedron in a high-dimensional space, for the convenience of analysis, they are projected into a low-dimensional space containing only the tie line variables to determine the feasible domain of the tie line. In the feasible domain after dimensionality reduction, the tie line power configuration corresponding to any point can correspond to at least one executable scheduling scheme in the high-dimensional scheduling feasible domain. Therefore, the power feasible domain obtained by projection is consistent with the operating restrictions of the sub-region power grid, ensuring that no conflicts occur.
[0274] In one embodiment, the first model module 30 includes a target unit and a compilation unit;
[0275] The target unit is used to establish a first target function F according to the transmission power of the AC tie line with the goal of minimizing the network loss of the inter-provincial tie line; wherein the goal of the first target function is to minimize the total network loss in all time periods t, which is divided into two parts: AC and DC;
[0276] A compilation unit is used to perform linear processing on the DC interconnection line network loss of the first objective function F according to a preset formula, and introduce a preset standard safety constraint unit combination model to achieve modeling of the unit regulation capability and safety constraint limit, so as to obtain a compilation model that takes into account the available transmission power range of each province;
[0277] Among them, the constraints of the standard safety constraint unit commitment model include power system operation constraints, unit operation constraints and grid transmission constraints. The constraints specifically include:
[0278] ① Power system operation constraints: load balance constraints in each province and region, system positive and negative reserve capacity constraints, and system spinning reserve capacity constraints.
[0279] ② Unit operation constraints: unit output upper and lower limit constraints, unit climbing constraints, unit minimum continuous start and stop time constraints, unit maximum start and stop times constraints, unit power constraints, unit specified state constraints, etc.
[0280] ③ Grid transmission constraints: line flow constraints and section flow constraints.
[0281] Among them, the first objective function is:
[0282]
[0283] The preset formula is:
[0284]
[0285] Among them, in the first objective function: N T is the total number of time periods, N AC is the number of AC lines, N DC is the number of DC lines, K j is the network loss coefficient of AC line j; is the transmission power of AC line j at time t; K m is the network loss coefficient of DC line m; is the transmission power of DC line m at time t;
[0286] In the preset linearized expression (first formula): is the total transmission power of DC line j at time t; I(j) is the number of nodes on DC line j, K j is the coefficient of node i on DC line j; is the transmission power of node i on DC line j at time t; is the power change of node i on DC line j at time t;
[0287] In the preset formula, the total power constraint (the second formula) is used to ensure that the total transmission power of the DC line j at time t is equal to the sum of the power changes of all nodes;
[0288] In the preset power change constraint (Formula 3), the power change of node i at time t must be between 0 and its maximum allowed change h j,i,t between;
[0289] In the preset formula, the fourth formula is the definition of the maximum change, that is, the maximum allowable power change of node i at time t needs to be equal to the power difference between the current node and the previous node at time t.
[0290] The first model module 30 of this embodiment directly aims to minimize the network loss of the inter-provincial tie line, which helps to reduce the energy loss in the power transmission process and improve the power transmission efficiency. By linearizing the first objective function, complex nonlinear problems can be converted into linear problems, thereby simplifying the calculation process and improving the calculation efficiency. The standard safety constraint unit combination model contains several key constraints, which can ensure that the power system operates under safe and stable conditions.
[0291] In one embodiment, the second model module 40 includes an optimization unit, a force unit, a hydropower unit and a synthesis unit, wherein the optimization unit is a process of establishing an optimized power model of the AC / DC tie line, the force unit is a process of establishing a forced output model, and the hydropower unit and the synthesis unit are processes of establishing a hydropower vibration zone model and obtaining a full model of the regional power grid, specifically:
[0292] The optimization unit is used to obtain an optimized power model of the AC and DC interconnection lines based on the performance parameters of the units in the plurality of sub-areas and the correlation between the AC interconnection line power and the unit output and the node load according to the line flow based on the first constraint set;
[0293] The first constraint set includes node load balance constraints, DC tie line ramp constraints, all-day DC regulation times limit constraints, and DC tie line power cannot be reversely adjusted in adjacent time periods. The details are as follows:
[0294] ① Node load balance constraint: The injected power and output power of the multi-terminal DC hub node should be equal;
[0295] ② DC tie line ramp constraint: When the DC tie line power is adjusted up / down, the ramp rate requirement must be met;
[0296] ③ All-day DC regulation frequency limit constraint: control the number of changes in DC tie line power within a certain range throughout the day;
[0297] ④ The constraint that the power of the DC interconnection line cannot be adjusted in the opposite direction in adjacent time periods (modeling is considered based on the DC interconnection line group): the power of the DC interconnection line cannot first increase and then decrease, or first decrease and then increase in adjacent time periods.
[0298] Among them, the optimized power model of AC and DC interconnection lines is:
[0299]
[0300] in, is the transmission power of the AC tie line l in the region during period t, Ge l,i ,Ge l,m and Ge l,q are the generator output power transfer distribution factors of the nodes where the DC tie lines m and q in the region are located to the AC tie line l in the region, respectively; is the transmission power of the DC tie line m in the region during period t; Q is the number of nodes in the entire network; D q,t is the bus load value of node q in period t; In order to optimize the variables, the sending and receiving ends of the DC interconnection line are used as node loads and node injections respectively.
[0301] Forced unit, used to limit the output P of the forced output unit i,t Within its maximum allowable output range and minimum output range Within, thus establishing a forced output model;
[0302] Among them, the processing methods for different types of forced output units are as follows:
[0303] ① Class A units: During the startup period (α i,t =1) must be produced according to the predetermined plan, and during the downtime period (α i,t =0) then there is no specific output requirement;
[0304] ② The unit that must be turned on: During the period when it must be turned on (α i,t =1), and also need to follow the predetermined plan to produce power. If there is a minimum output limit, then these units must meet this minimum output requirement;
[0305] ③Cogeneration units: During their operation period (α i,t =1), its output must meet the upper and lower limits of output calculated based on the planned heating flow;
[0306] ④ Debugging units: During their debugging period (α i,t =1), its output should be consistent with the commissioning plan.
[0307] A hydropower unit is used to limit the output range of a hydropower unit / unit based on the vibration characteristics of the hydropower unit to prevent the hydropower unit / unit from entering the output interval corresponding to the vibration zone during operation, obtain a hydropower vibration zone model, and limit the unit output in the hydropower vibration zone model through an output restriction formula set; wherein the output restriction formula set includes a first restriction formula and a second restriction formula;
[0308] The synthesis unit is used to form a regional power grid full model of the output of the relevant units by using the AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model.
[0309] Among them, the hydropower vibration zone model is:
[0310]
[0311] The first restriction is:
[0312]
[0313] The second restriction is:
[0314]
[0315] in, Respectively represent the lower limit and upper limit of the kth unit in the first vibration zone; when α k,1,t When it is 1, it means that the kth unit is in the t period Between; P k,1,t It indicates the output of the first operating interval when the kth unit is in the first operating interval at the early t period;
[0316] Furthermore, the first restriction formula is used to restrict the unit output to fall within a certain operable range, and the second restriction formula is used to restrict the unit output to fall within only one of the operating ranges.
[0317] The second model module 40 of this embodiment not only considers the correlation between the AC tie line power and the unit output and the node load, but also combines the output range limit of the forced output unit and the vibration characteristics of the hydropower unit, making the model more comprehensive and detailed; and, by improving the existing regional power grid through extended modeling, the tie line planning method obtained by comprehensively optimizing the regional power grid model can be made more efficient and reasonable, and its scientific basis is also improved;
[0318] Based on the available power range of the provincial tie lines obtained by solving the constraint module 20 of the embodiment, the maximum and minimum values of the available transmission power of the inter-provincial tie lines that meet the safety constraints within the province can be accurately evaluated, avoiding the iterative feedback process between the provinces and the regional power grid full model for transmission power, and improving the efficiency of tie line planning. However, the model based on the planned electricity volume of the tie line only compiles medium- and long-term planning results, and does not fully consider the operation of the power grid under short-term frequency. Therefore, when the power grid operation boundaries are more detailed, the maximum and minimum limits of the transmission power of the tie lines between provinces are substituted into the regional power grid full model, and a more accurate tie line planning plan can be obtained.
[0319] In one embodiment, the adjustment module 50 is specifically:
[0320] Taking the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, the compilation model and the regional power grid full model are solved jointly to obtain the interconnection line power plan (interconnection line plan) of several sub-regions;
[0321] According to the interconnection line power plan, the transmission power of the interconnection lines connecting different sub-areas is adjusted to ensure the stable operation of the power system and meet the load demand.
[0322] It should be noted that this application aims to reduce the workload of iterative analysis between provincial and grid-level dispatching agencies, solve the upper and lower limits of inter-provincial interconnection line transmission power based on the idea of dimensionality reduction and vertex search method, and streamline the calculation components of the interconnection line part in the full model of the regional power grid, thereby enhancing the timeliness and rationality of interconnection line planning and ensuring the effectiveness of interconnection line power adjustment.
[0323] To apply the embodiments of this application, please refer to Figure 4 , Figure 4 : is a flow chart of the tie line plan preparation provided by the embodiment of the present application, which shows the process of preparing the tie line plan in the second embodiment of the present application, which is roughly as follows:
[0324] Firstly, the operation constraints of the provincial power grid are decoupled and reduced in dimension according to time periods, and the feasible domain of the interconnection lines in each time period is solved based on the vertex search method. Then, the intersection of the feasible domains of the interconnected interconnection lines is calculated, and the upper and lower limits of the power transmission capacity of the interconnection lines are obtained again using the vertex search method.
[0325] Next, the upper and lower limits of the available transmission power of the interconnection line are used as one of the constraints of the whole network operation plan, reducing the workload of iterative feedback during the optimization of the cross-provincial interconnection line plan.
[0326] Finally, the constraints of the regional power grid are expanded and modeled, and the method of compiling the interconnection line plan is made more reasonable and efficient through the optimization of the entire regional power grid model.
[0327] Overall, this embodiment has the following beneficial effects:
[0328] In this application, the time-division decoupling and dimensionality reduction method can more accurately reflect the power demand and supply in different time periods, which is helpful to formulate a more reasonable interconnection line power plan; and the power transmission range of the feasible domain of the inter-provincial interconnection line calculated based on the power data provides a clear constraint condition for the optimal configuration of the interconnection line power. This range ensures that the transmission of the interconnection line power will neither exceed the limit nor fall below the minimum requirement, thereby ensuring the stable operation of the power system. The compilation model established with the goal of minimizing the network loss of inter-provincial interconnection lines is helpful to achieve the optimal configuration of power resources. The regional power grid full model established based on the performance parameters of the units in several sub-regions can more comprehensively reflect the actual situation of the power system and provide strong support for optimizing the interconnection line power configuration. Therefore, by combining the power transmission range and the above-mentioned model for joint solution, a interconnection line power plan that satisfies the power transmission range constraint and minimizes the network loss can be obtained for optimal configuration.
[0329] The present application establishes a power transmission range and model by comprehensively considering the power transmission range, network loss and unit output, so as to solve the interconnection line power plan that satisfies the power transmission range constraint and minimizes the network loss for power adjustment, which helps to reduce power waste and improve energy utilization efficiency. Therefore, it can solve the problem of difficulty in effectively optimizing the interconnection line power configuration of several sub-regions between provinces.
[0330] Embodiment three:
[0331] An embodiment of the present application provides a computer-readable storage medium, the computer-readable storage medium including a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the method for adjusting the power of a tie line considering the constraints of a feasible region;
[0332] Wherein, the method for adjusting the power of the interconnection line considering the constraints of the feasible domain, if implemented in the form of a software functional unit and used as an independent product, can be stored in a computer-readable storage medium. Based on such an understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.
[0333] The above are preferred embodiments of the present invention. It should be noted that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.
Claims
1. A method for adjusting the power of a tie line considering the constraints of a feasible region, characterized in that: include: Obtain operational boundary data for several sub-regions within the province; Based on the operation boundary data, the power transmission range of the feasible domain of the inter-provincial interconnection line is calculated by decoupling and reducing the dimension in different time periods; With the goal of minimizing the network loss of inter-provincial interconnection lines, a compilation model is established that takes into account the available transmission power range of each province; Based on the performance parameters of the units in the plurality of sub-regions, a regional power grid full model of the output of the units is established; Taking the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, the compilation model and the regional power grid full model are solved jointly to obtain the interconnection line power plans of the several sub-regions, and the interconnection line powers of the several sub-regions are adjusted according to the interconnection line power plans.
2. A method for adjusting the power of a tie line considering the constraints of a feasible region as claimed in claim 1, characterized in that: Based on the operation boundary data, the power transmission range of the feasible domain of the inter-provincial interconnection line is calculated by decoupling and reducing the dimension in different time periods, which is as follows: Based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the operation of the power system, a power system sub-region operation constraint set is established, and a feasible area of the power generation capacity of the units in the province is calculated according to the power system sub-region operation constraint set; Based on the dimension reduction mapping technology, the feasible region is reduced to a spatial dimension that only includes the tie line injection power, and the feasible domains of the tie line exchange power in several single sub-regions are obtained; The feasible space boundary of the power transmission of the interconnection lines in each period within the province is solved according to the feasible domain of interconnection line exchange power in the several single sub-areas, and the power transmission range of the feasible domain of the inter-provincial interconnection lines is obtained.
3. A method for adjusting the power of a tie line considering the constraints of a feasible region as claimed in claim 2, characterized in that: According to the feasible domains of the interconnection line exchange power in the several single sub-areas, the feasible space boundary of the interconnection line power transmission in each period in the province is solved to obtain the power transmission range of the feasible domain of the inter-provincial interconnection line, which is specifically: Based on the feasible domains of the interconnection line exchange powers in the several single sub-areas, convex polyhedron construction and boundary hyperplane calculation are performed to obtain the feasible domains of the interconnection line exchange powers in the target time periods in the several single sub-areas; Performing an intersection operation on the feasible domains of the interconnection line exchange powers in the target time periods in the plurality of single sub-regions to obtain the feasible domains of the interconnection lines in the target time periods in the plurality of sub-regions in the regional interconnection mode; By comparing the sum of the net input power at each vertex in the feasible domain of the interconnection line during the target period in a vertex search manner, the power transmission range of the feasible domain of the inter-provincial interconnection line is obtained.
4. A method for adjusting the power of a tie line considering the constraints of a feasible region as claimed in claim 3, characterized in that: Based on the feasible domains of the interconnection line exchange power in the several single sub-areas, convex polyhedron construction and boundary hyperplane calculation are performed to obtain the feasible domains of the interconnection line exchange power in the target time period in the several single sub-areas, which are specifically: Based on the feasible domain of the interconnection line exchange power in the several single sub-areas, several planned operation points are selected as vertices within the target scheduling period of the several sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation state that the power system can achieve within the target scheduling period; the convex polyhedron represents the set of operation states of the power system within the target scheduling period; Solve the minimum set of hyperplanes that can completely surround the convex polyhedron to obtain a set of boundary hyperplanes; Starting from the convex polyhedron, by translating the boundary hyperplane set outward, a comprehensive operating point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system is obtained, and the comprehensive operating point constitutes the feasible domain of the interconnection line exchange power in the target time period in the several single sub-areas.
5. A method for adjusting the power of a tie line considering the constraints of a feasible region as claimed in claim 3, characterized in that: By comparing the sum of the net input power at each vertex in the feasible region of the interconnection line during the target period in a vertex search manner, the power transmission range of the feasible region of the inter-provincial interconnection line is obtained, which is specifically: The transmission power of the feasible region of the tie line in the target period under extreme conditions is defined as a vertex set; For each vertex in the vertex set, a sum of net input power is calculated according to input power and load; By comparing the sum of the net input power corresponding to each vertex in the vertex set, the maximum transmission power and the minimum transmission power of the interconnection line in the feasible domain are obtained, and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
6. A method for adjusting the power of a tie line considering the constraints of a feasible region as claimed in claim 2, characterized in that: Based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the power system operation, a power system sub-area operation constraint set is established, specifically: Based on the operation boundary data, a physical and operation constraint set is established according to the balance relationship between power generation and load in the plurality of sub-areas; wherein the physical and operation constraint set includes a power balance constraint in the sub-area, a regulating power constraint of the unit in the sub-area, and a ramp constraint in the sub-area; Establishing safety constraints within the sub-areas according to a preset allowable fluctuation range of power of each node in the plurality of sub-areas; The physical and operational constraint set and the safety constraints in the sub-area constitute the power system sub-area operational constraint set.
7. A method for adjusting tie line power considering feasible region constraints as claimed in claim 1, characterized in that: With the goal of minimizing the network loss of inter-provincial interconnection lines, a compilation model is established that takes into account the available transmission power range of each province, specifically: According to the transmission power of the AC tie line, the first objective function is established with the goal of minimizing the network loss of the inter-provincial tie line; The first objective function is linearized, and a preset standard safety constraint unit combination model is introduced for modeling, so as to obtain the compilation model that takes into account the available transmission power range at each province; wherein the constraints of the standard safety constraint unit combination model include power system operation constraints, unit operation constraints and grid transmission constraints.
8. A method for adjusting tie line power considering feasible region constraints as claimed in claim 1, characterized in that: Based on the performance parameters of the units in the several sub-regions, a regional power grid full model of the unit output is established, specifically: Based on the performance parameters of the units in the plurality of sub-areas, and according to the correlation between the AC tie line power and the unit output and the node load, an AC / DC tie line optimization power model is established; By limiting the output range of the forced output unit, a forced output model is established; Based on the vibration characteristics of the hydropower unit, the output range of the hydropower unit is limited to obtain a hydropower vibration zone model; The AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model constitute the regional power grid full model of the relevant unit output.
9. A tie line power adjustment device considering feasible region constraints, characterized in that: It includes a data module, a constraint module, a first model module, a second model module and an adjustment module; Wherein, the data module is used to obtain the operation boundary data of several sub-regions in the province; The constraint module is used to calculate the power transmission range of the feasible domain of the inter-provincial interconnection line by decoupling and reducing the dimension in different time periods based on the operation boundary data; The first model module is used to establish a compilation model that takes into account the available transmission power range of each province with the goal of minimizing the network loss of the inter-provincial tie line; The second model module is used to establish a regional power grid full model of the output of the relevant units based on the performance parameters of the units in the plurality of sub-regions; The adjustment module is used to jointly solve the compilation model and the regional power grid full model based on the power transmission range of the feasible domain of the inter-provincial interconnection line as a constraint, obtain the interconnection line power plan of the several sub-regions, and adjust the interconnection line power of the several sub-regions according to the interconnection line power plan.
10. The interconnection line power adjustment device considering feasible region constraints according to claim 9, characterized in that: The constraint module includes a calculation unit, a dimension reduction unit and a solution unit; The calculation unit is used to establish a sub-region operation constraint set of the power system based on the operation boundary data, with the goal of ensuring the overall coordination and optimization of the power system operation, and calculate the feasible area of the power generation capacity of the units in the province according to the sub-region operation constraint set of the power system; The dimension reduction unit is used to reduce the feasible region to a spatial dimension containing only the tie line injection power based on the dimension reduction mapping technology, so as to obtain feasible regions of the tie line exchange power in a plurality of single sub-regions; The solving unit is used to solve the feasible space boundary of the interconnection line power transmission in each time period within the province according to the interconnection line exchange power feasible domain within the several single sub-areas, and obtain the power transmission range of the feasible domain of the inter-provincial interconnection line.
11. A tie line power adjustment device considering feasible region constraints as claimed in claim 10, characterized in that: The solution unit includes a construction subunit, an intersection subunit and a power subunit; The construction subunit is used to construct a convex polyhedron and calculate a boundary hyperplane based on the feasible domains of the interconnection line exchange powers in the several single sub-areas, so as to obtain the feasible domains of the interconnection line exchange powers in the target time periods in the several single sub-areas; The intersection subunit is used to perform intersection operation on the feasible domains of the interconnection line exchange power in the target time periods of the several single sub-areas to obtain the feasible domains of the interconnection lines in the target time periods of the several sub-areas in the regional interconnection mode; The power subunit is used to compare the sum of the net input power at each vertex in the feasible domain of the interconnection line during the target period by means of vertex search, so as to obtain the power transmission range of the feasible domain of the inter-provincial interconnection line.
12. A tie line power adjustment device considering feasible region constraints as claimed in claim 11, characterized in that: The construction subunit is specifically: Based on the feasible domain of the interconnection line exchange power in the several single sub-areas, several planned operation points are selected as vertices within the target scheduling period of the several sub-areas to construct a convex polyhedron; wherein the several planned operation points represent the stable operation state that the power system can achieve within the target scheduling period; the convex polyhedron represents the set of operation states of the power system within the target scheduling period; Solve the minimum set of hyperplanes that can completely surround the convex polyhedron to obtain a set of boundary hyperplanes; Starting from the convex polyhedron, by translating the boundary hyperplane set outward, a comprehensive operating point located on the boundary of the convex polyhedron and satisfying the preset constraints of the power system is obtained, and the comprehensive operating point constitutes the feasible domain of the interconnection line exchange power in the target time period in the several single sub-areas.
13. The interconnection line power adjustment device considering feasible region constraints according to claim 11, characterized in that: The power subunit is specifically: The transmission power of the feasible region of the tie line in the target period under extreme conditions is defined as a vertex set; For each vertex in the vertex set, a sum of net input power is calculated according to input power and load; By comparing the sum of the net input power corresponding to each vertex in the vertex set, the maximum transmission power and the minimum transmission power of the interconnection line in the feasible domain are obtained, and the maximum transmission power and the minimum transmission power are defined as the power transmission range of the feasible domain of the inter-provincial interconnection line.
14. The interconnection line power adjustment device considering feasible region constraints according to claim 10, characterized in that: The computing unit includes an operation subunit, a power subunit and a safety subunit; The operation subunit is used to establish a physical and operation constraint set based on the operation boundary data and according to the balance relationship between power generation and load in the plurality of sub-areas; wherein the physical and operation constraint set includes a power balance constraint in the sub-area, a regulating power constraint of the unit in the sub-area, and a ramp constraint in the sub-area; The power subunit is used to establish safety constraints within the sub-areas according to the preset allowable fluctuation range of the power of each node in the plurality of sub-areas; The safety subunit is used to form the power system sub-area operation constraint set by using the physical and operation constraint set and the safety constraints in the sub-area.
15. The interconnection line power adjustment device considering feasible region constraints according to claim 9, characterized in that: The first model module includes a target unit and a compilation unit; The target unit is used to establish a first target function based on the transmission power of the AC tie line with the goal of minimizing the network loss of the inter-provincial tie line; The compilation unit is used to linearize the first objective function and introduce a preset standard safety constraint unit combination model for modeling, so as to obtain the compilation model that takes into account the available transmission power range at each province; wherein the constraints of the standard safety constraint unit combination model include power system operation constraints, unit operation constraints and grid transmission constraints.
16. The interconnection line power adjustment device considering feasible region constraints according to claim 9, characterized in that: The second model module includes an optimization unit, a force unit, a hydropower unit and a synthesis unit; The optimization unit is used to establish an AC / DC interconnection line optimization power model based on the performance parameters of the units in the plurality of sub-areas and the correlation between the AC interconnection line power and the unit output and the node load; The forcing unit is used to establish a forced output model by limiting the output range of the forced output unit; The hydropower unit is used to limit the output range of the hydropower unit based on the vibration characteristics of the hydropower unit to obtain a hydropower vibration zone model; The synthesis unit is used to form the regional power grid full model of the relevant unit output by using the AC / DC interconnection line optimization power model, the forced output model and the hydropower vibration zone model.
17. A storage medium, characterized in that: The storage medium stores a computer program, which is called and executed by a computer to implement a method for adjusting the power of a tie line taking into account feasible domain constraints as described in any one of claims 1 to 8 above.
Citation Information
Patent Citations
Regional electricity market clearing method and device and storage medium
CN111667136A
Real-time market clearing rapid calculation method considering hydroelectric vibration area constraints
CN112288276A
Regional power grid spot market clearing and pricing method based on inter-province power transmission cost
CN116911932A