Method for determining operation strategy of power transmission network and electronic device

Abstract

The application discloses a power transmission network operation strategy determination method and electronic equipment. The method comprises the following steps: determining the initial installation position of the unified power flow controller in the current period based on the operation data of the power transmission network in the current period; determining a first target function; optimizing the initial configuration strategy of the unified power flow controller in the current period with the maximum function value of the first target function as the optimization target to obtain the target configuration strategy of the unified power flow controller in the current period; determining a second target function after responding to the target configuration strategy; and optimizing the initial operation strategy of the power transmission network in the predetermined period with the minimum function value of the second target function as the optimization target to obtain the target operation strategy of the power transmission network in the predetermined period. The application solves the technical problems of low operation efficiency and poor cross-region collaboration of the urban power transmission network caused by incomplete consideration of factors when the urban power transmission network faces complex operation environment.

Description

Technical Field

[0001] This invention relates to the field of power system planning and operation optimization technology, and more specifically, to a method and electronic equipment for determining the operation strategy of a power transmission network. Background Technology

[0002] With the accelerated construction of new power systems, urban power transmission networks are evolving from a unidirectional radial structure to a complex network characterized by multi-level coordination and multi-channel interconnection, encompassing "source-grid-load-storage." Especially in megacities with dense loads and significant receiving-end characteristics, a large amount of distributed renewable energy is connected via voltage levels of 220kV and above. The synergistic effect of power transmission channel fluctuations with surrounding renewable energy output leads to increasingly prominent cross-current phenomena. This means that cross-regional power that should be transmitted through planned interconnection channels is forced to detour to unplanned sections due to insufficient network topology coupling and regulation capabilities, resulting in a series of operational risks such as long-term heavy loads on local lines, reduced voltage stability margins, and imbalanced transmission capacity utilization. There are significant shortcomings in the determination of operational strategies for urban power transmission networks in related technologies, mainly manifested in the following aspects:

[0003] Operational strategies often rely on manual experience or static safety checks, making it difficult to adapt to rapid power flow shifts caused by fluctuations in renewable energy output and changes in load peaks and valleys. This results in delayed control responses and a tendency for cross-sectional limits to be exceeded. While optimal power flow models are used to optimize operational strategies, their singular optimization objective leads to locally optimal results that exacerbate power imbalances between regions. Research on unified power flow controllers is limited to single-line or local optimization. Although, within a certain range, methods for determining operational strategies for urban power transmission networks can achieve a degree of power flow balance and voltage stability control under steady-state load scenarios, urban power transmission networks face challenges in complex operating environments due to incomplete factors, leading to low operational efficiency and poor inter-regional coordination capabilities.

[0004] There is currently no effective solution to the above problems. Summary of the Invention

[0005] This invention provides a method and electronic device for determining the operation strategy of a power transmission network, which at least solves the technical problems of low operating efficiency and poor cross-regional coordination capabilities of urban power transmission networks caused by incomplete consideration of factors when facing complex operating environments.

[0006] According to one aspect of the present invention, a method for determining the operation strategy of a power transmission network is provided, comprising: determining the initial installation location of a unified power flow controller in the current time period based on the operation data of the power transmission network in the current time period; determining a first objective function, wherein the first objective function represents the overall utility of the power transmission network in the current time period; optimizing the initial configuration strategy of the unified power flow controller in the current time period with the maximum function value of the first objective function as the optimization objective, to obtain a target configuration strategy of the unified power flow controller in the current time period, wherein the initial configuration strategy includes the initial installation location, initial number of installations, and initial installation capacity of the unified power flow controller in the power transmission network; determining a second objective function after responding to the target configuration strategy, wherein the second objective function is used to indicate the degree of deviation between the actual operation state of the power transmission network and the preset operation state within a predetermined time period after responding to the target configuration strategy; optimizing the initial operation strategy of the power transmission network in the predetermined time period with the minimum function value of the second objective function as the optimization objective, to obtain a target operation strategy of the power transmission network in the predetermined time period.

[0007] According to another aspect of the present invention, a power transmission network operation strategy determination apparatus is also provided, comprising: an initial installation location determination module, configured to determine the initial installation location of a unified power flow controller in the current time period based on the operation data of the power transmission network in the current time period; a first objective function determination module, configured to determine a first objective function, wherein the first objective function represents the comprehensive utility of the power transmission network in the current time period; a target configuration strategy determination module, configured to optimize the initial configuration strategy of the unified power flow controller in the current time period with the maximization of the function value of the first objective function as the optimization objective, to obtain a target configuration strategy of the unified power flow controller in the current time period, wherein the initial configuration strategy includes the initial installation location, initial installation quantity, and initial installation capacity of the unified power flow controller in the power transmission network; a second objective function determination module, configured to determine a second objective function after responding to the target configuration strategy, wherein the second objective function is used to indicate the degree of deviation between the actual operation state and the preset operation state of the power transmission network in a predetermined time period after responding to the target configuration strategy; and a target operation strategy determination module, configured to optimize the initial operation strategy of the power transmission network in a predetermined time period with the minimization of the function value of the second objective function as the optimization objective, to obtain a target operation strategy of the power transmission network in the predetermined time period.

[0008] According to another aspect of the present invention, a non-volatile storage medium is also provided, which stores a plurality of instructions adapted for a method for determining the operation strategy of a power transmission network, any one of which is loaded and executed by a processor.

[0009] According to another aspect of the present invention, an electronic device is also provided, including one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement any one of the power transmission network operation strategy determination methods.

[0010] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the steps of a method for determining the operation strategy of a power transmission network.

[0011] In this embodiment of the invention, the initial installation location of the unified power flow controller (WHDC) is determined based on the operating data of the transmission network during the current time period; a first objective function is determined, where the first objective function represents the overall utility of the transmission network during the current time period; the initial configuration strategy of the WHDC is optimized with maximizing the function value of the first objective function as the optimization objective, resulting in a target configuration strategy for the WHDC during the current time period, where the initial configuration strategy includes the initial installation location, initial number of WHDCs, and initial installation capacity of the WHDCs in the transmission network; after responding to the target configuration strategy, a second objective function is determined, where the second objective function indicates the degree of deviation between the actual operating state of the transmission network and the preset operating state within a predetermined time period after responding to the target configuration strategy; the minimum function value of the second objective function is used as the optimization objective. The objective is to optimize the initial operation strategy of the power transmission network during a predetermined period, thereby obtaining the target operation strategy of the power transmission network during the predetermined period. This achieves the goal of determining the initial installation location of the unified power flow controller in the power transmission network based on the current operation data of the distribution network, thus constructing a first objective function to optimize the initial configuration strategy of the unified power flow controller and determine the target configuration strategy of the unified power flow controller. Furthermore, after responding to the target configuration strategy, a second objective function is constructed to optimize the initial operation strategy of the power transmission network during the predetermined period, so as to accurately determine the target operation strategy of the power transmission network during the predetermined period. This achieves the technical effect of improving the operation efficiency and cross-regional coordination capability of urban power transmission networks, and solves the technical problems of low operation efficiency and poor cross-regional coordination capability of urban power transmission networks caused by incomplete consideration of factors when facing complex operating environments. Attached Figure Description

[0012] The accompanying drawings, which are included to provide a further understanding of the invention and form part of this application, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0013] Figure 1 A schematic diagram of an optional unified power flow controller structure according to an embodiment of the present invention;

[0014] Figure 2 A flowchart of a method for determining the operation strategy of a power transmission network according to an embodiment of the present invention;

[0015] Figure 3 This is a schematic diagram of an optional power grid partition according to an embodiment of the present invention;

[0016] Figure 4 This is a flowchart of an optional method for determining the operation strategy of a power transmission network according to an embodiment of the present invention;

[0017] Figure 5 This is a flowchart of an optional two-layer optimization model according to an embodiment of the present invention;

[0018] Figure 6 This is a schematic diagram of a power transmission network operation strategy determination device according to an embodiment of the present invention. Detailed Implementation

[0019] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0020] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0021] First, to facilitate understanding of the embodiments of the present invention, some terms or nouns involved in the present invention will be explained below:

[0022] A Unified Power Flow Controller (UPFC) is a device used in flexible AC transmission systems based on voltage source converters. Figure 1A schematic diagram of an optional unified power flow controller structure according to an embodiment of the present invention is shown. The unified power flow controller consists of three parts: a parallel-side voltage source converter (i.e., a parallel-side converter), a series-side voltage source converter (i.e., a series-side converter), and a common DC energy storage link connecting the two. The whole is connected to the same bus pair of the target transmission line (i.e., between the beginning and end of the line) through a transformer. The DC energy storage link connects the parallel side and the series side to realize bidirectional transmission of active power between the two.

[0023] A connecting channel refers to a set of transmission lines that connect two different power zones in a power grid under a zoned power supply mode, used to realize the exchange and mutual support of active and reactive power between the regions.

[0024] According to an embodiment of the present invention, a method embodiment for determining the operation strategy of a power transmission network is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0025] Figure 2 This is a flowchart of a method for determining the operation strategy of a power transmission network according to an embodiment of the present invention, such as... Figure 2 As shown, the method includes the following steps:

[0026] Step S202: Based on the operating data of the transmission network in the current time period, determine the initial installation location of the unified power flow controller in the current time period.

[0027] Optionally, based on the transmission network's operational data for the current time period, the initial installation location of the Unified Power Flow Controller (UPFC) is determined. This involves analyzing the transmission network topology, power flow distribution characteristics, and load conditions to screen the transmission lines with the greatest potential for inter-regional power regulation as candidate installation locations for the UPFC. The operational data includes, but is not limited to, the active power output, reactive power output, active power load, and reactive power load values ​​corresponding to each of the multiple equipment access points within the transmission network, as well as the resistance and reactance of each of the multiple transmission lines within the network. The transmission network can be an urban transmission network, and the multiple equipment access points include at least substation access nodes, generator access nodes, and load access nodes. By installing the UPFC at the determined initial installation location, a foundation can be laid for subsequent UPFC configuration strategy optimization, ensuring both physical feasibility and operational effectiveness of the UPFC configuration scheme.

[0028] In one optional embodiment, determining the initial installation location of the unified power flow controller in the current time period based on the power grid's operating data includes: dividing the power grid into multiple regions, wherein the electrical coupling strength of each region is greater than a preset first coupling strength, and the electrical coupling strength between any two regions is less than a preset second coupling strength; and based on the multiple regions, obtaining multiple interconnection channels of the power grid in the current time period, wherein each interconnection channel includes multiple interconnection lines connecting two regions in the multiple regions, and each interconnection line represents a single transmission line that physically directly connects two regions. The line is one of multiple transmission lines in the power grid. The power exchange volume and total capacity of multiple interconnecting channels in the first interval of the current time period are determined. The power exchange volume in the first interval is used to quantify the power exchange capacity between the two areas connected by the corresponding interconnecting channel before the unified power flow controller is installed at the initial installation location. The total capacity of the interconnecting channels is used to quantify the power carrying capacity of the corresponding interconnecting channel. The interconnecting channel whose power exchange volume in the first interval is greater than a preset power exchange volume and whose total capacity is greater than a preset capacity is identified as the target interconnecting channel. Based on the multiple interconnecting lines included in the target interconnecting channel, the initial installation location is determined.

[0029] Optionally, in determining the initial installation location of the Unified Power Flow Controller (UPFC) for the current time period, firstly, structural modeling of the transmission network nodes is performed, abstracting the power grid into a network model composed of a set of nodes and a set of branches. The set of nodes represents multiple equipment access points in the transmission network, and the set of branches represents multiple transmission lines. Simultaneously, operational data from the current time period is integrated to construct an AC power flow model. Based on Kirchhoff's laws, active power balance equations and reactive power balance equations are established for each equipment access point to comprehensively characterize the steady-state operation of the transmission network, providing a solid mathematical foundation for subsequent partition identification, tie-line analysis, and initial UPFC location selection. The active power balance equation for any equipment access point in the current time period can be expressed as: , This represents the total active power generated by any device access point during the current time period; This represents the total active power load of any device access point during the current time period; This represents the average voltage at any device access point during the current time period; This represents the average voltage of a specified device access point among multiple device access points during the current time period; Indicates the index of any device access point; Indicates the index of the specified device access point; This indicates the total number of access points for multiple devices; This refers to any transmission line (i.e., any equipment access point). and designated device access point The equivalent conductance of the transmission lines between them in the current time period, which reflects the active power loss characteristics between any equipment access point and the specified equipment access point; It represents the equivalent susceptance of any transmission line in the current time period. The susceptance reflects the reactive power exchange characteristics between any equipment access point and a specified equipment access point. This represents the voltage phase angle difference of any transmission line in the current time period. This represents the voltage phase angle of any device access point during the current time period. This indicates the voltage phase angle of the specified device access point during the current time period. Next, based on the electrical coupling strength between multiple device access points, the entire transmission network is divided into several regions with closely interconnected electrical characteristics and frequent internal power interactions. The electrical coupling strength within each region is higher than a preset first coupling strength threshold; while the electrical coupling strength between any two regions is lower than a preset second coupling strength threshold, forming clear, low-coupling partition boundaries. This accurately depicts the transmission network's strong internal interconnection and weak inter-regional connection operation structure. Figure 3 This is a schematic diagram of an optional power grid partitioning according to an embodiment of the present invention. The power grid is divided into multiple regions (blue, yellow, and purple regions), each region consisting of a set of interconnected equipment access points and transmission lines, forming a relatively independent power supply unit. Power exchange between regions is achieved through interconnection channels (green dashed lines), which consist of a set of transmission lines connecting different regions. Based on this partitioning, interconnection channels connecting different regions are further identified, each consisting of a set of physically directly connected transmission lines. Subsequently, for each interconnection channel, its actual power exchange capacity in the current time period (i.e., the power exchange volume of the first interval) is quantified. This indicator reflects the scale of natural power flow between two regions without any regulatory measures; simultaneously, the total physical carrying capacity of each interconnection channel (i.e., the total capacity of the interconnection channel) is calculated. The power exchange volume of any interconnection channel in the current time period in the first interval can be obtained as follows: ,in, Indicates an index for any communication channel. This represents the total active power of any tie line in any tie channel during the current time period. The total capacity of any tie channel during the current time period can be obtained as follows: ,in, This represents the maximum total active power of any link in any link channel during the current time period. Finally, by setting preset power exchange and preset capacity, target link channels that undertake major cross-regional support tasks and are in a high-load state for a long time are selected. Then, from the multiple link lines contained in the target link channel, the initial installation location of UPFC is determined, laying the foundation for subsequent optimization of UPFC configuration strategy.

[0030] In one optional embodiment, determining the initial installation location based on the multiple interconnection lines included in the target interconnection channel includes: determining the first load rate and power flow regulation sensitivity of the multiple interconnection lines included in the target interconnection channel in the current time period, wherein the first load rate is used to quantify the degree of overload risk of the corresponding interconnection line, and the power flow regulation sensitivity is used to quantify the degree of influence of the corresponding interconnection line on the power exchange between the two connected areas; identifying the interconnection lines among the multiple interconnection lines included in the target interconnection channel with a first load rate greater than a preset load rate and a power flow regulation sensitivity greater than a preset sensitivity as target interconnection lines; and determining a designated location on the target interconnection line as the initial installation location.

[0031] Optionally, in determining the initial installation location of the unified power flow controller, firstly, for each target interconnection channel containing multiple transmission lines, the first load rate and power flow regulation sensitivity are calculated for the current time period. The first load rate is a direct safety indicator measuring whether the transmission line is under long-term heavy load or near-overload conditions; the power flow regulation sensitivity reveals the transmission line's response strength to inter-regional power exchange. Only when a transmission line simultaneously meets the dual requirements of having a higher first load rate than the preset load rate and a power flow regulation sensitivity greater than the preset sensitivity is it identified as a target interconnection line. This target interconnection line not only carries the critical inter-regional power transmission task, but its power flow state is also highly susceptible to significant changes due to external regulation. The first load rate of any interconnection line included in the target interconnection channel in the current time period can be obtained as follows: The power flow regulation sensitivity of any link included in the target link channel during the current time period can be obtained in the following way. ,in, This indicates the power exchange volume of the target communication channel in the first interval during the current time period; This represents the preset control variable introduced by the UPFC installed on any of the tie lines included in the target tie channel. The preset control variable is used to describe the UPFC's ability to adjust the electrical characteristics of the tie line. This represents the partial derivative. Based on this, a designated location on the target tie line (such as the midpoint of the line or near the substation) is determined as the initial installation location of the UPFC, ensuring that the UPFC's series voltage injection capability can directly and efficiently act on the power path most in need of regulation. After determining the initial installation location of the UPFC, an equivalent mathematical model based on the UPFC is established on the target tie line. The UPFC is equivalent to the active and reactive power injections acting on the corresponding equipment access points of the target tie line, thus avoiding the introduction of too many additional state variables and facilitating embedding into the AC power flow model. The equivalent admittance of the target tie line in the current time period can be obtained in the following way. ,in, Indicates the target connection line (i.e., the first equipment access point) Second device access point The conductance of the transmission lines between them in the current time period. This indicates the electrical susceptance of the target connection line during the current time period. Indicates the imaginary part unit. This represents the equivalent conductance adjustment of UPFC during the current time period. This represents the equivalent susceptance regulation of the UPFC during the current time period. The active power injection at the first equipment connection point in the target tie line during the current time period can be obtained as follows: ,in, This represents the average voltage at the first device access point during the current time period. This indicates the average voltage at the second device access point during the current time period. This represents the voltage phase angle difference of the target tie line during the current time period. The reactive power injection at the first equipment connection point in the target tie line during the current time period can be obtained as follows: Similarly, by obtaining the active and reactive power injection amounts at the first equipment access point in the target tie line during the current time period, the active and reactive power injection amounts at the second equipment access point in the target tie line during the current time period can be obtained. After installing the UPFC, the following active power balance relationship must be satisfied between the parallel and series sides of the UPFC: ,in, This refers to the active power exchanged between the UPFC series side and the transmission network. This represents the active power exchanged between the UPFC parallel side and the transmission network. After the introduction of UPFC, the active power balance equation for any of the multiple connection points in the transmission network during the current time period can be expressed as: ,in, This represents the active power injected by UPFC at any device access point during the current time period. Furthermore, UPFC operation must satisfy the following constraints: , , ,in, This indicates the lower limit of the preset conductance adjustment of the UPFC. This indicates the upper limit of the preset conductance adjustment of the UPFC. This indicates the lower limit of the preset susceptance regulation of the UPFC. This indicates the upper limit of the preset susceptance regulation of the UPFC. Indicates the operating capacity of UPFC. This indicates the preset maximum operating capacity. This indicates the active power injected by UPFC into the target tie line. This represents the reactive power injected by the UPFC into the target tie line. This embodiment identifies the target tie line with the greatest regulatory value, giving the subsequent UPFC configuration optimization and operation control a clear physical target. This allows for the most direct intervention in cross-regional power paths with minimal equipment scale, significantly suppressing power flow crossings, balancing cross-sectional loads, improving the utilization efficiency of tie lines and the system's flexible mutual support capabilities, thereby promoting a shift in the urban power grid's operating paradigm from passively accepting power flow to actively shaping it.

[0032] Step S204: Determine the first objective function, where the first objective function represents the comprehensive utility of the transmission network in the current time period.

[0033] Optionally, the first objective function is not constructed using a single performance index, but rather by integrating multiple performance indices to build a unified, quantifiable, and optimizable comprehensive evaluation function. This first objective function transforms the multi-objective, multi-scale, and nonlinear complex problem of power transmission network planning into a single-objective optimization problem with clear physical meaning and mathematical structure, providing a scientific, calculable, and verifiable decision-making basis for the optimal configuration of UPFC.

[0034] In an optional embodiment, when the transmission network includes multiple regions, multiple interconnection channels, and multiple target interconnection channels, and there are multiple unified power flow controllers, determining a first objective function includes: determining a regional mutual assistance capability index based on the power exchange volume of the multiple interconnection channels in the first interval and the total capacity of the interconnection channels in the current time period, wherein the regional mutual assistance capability index is used to quantify the comprehensive power exchange capability of the transmission network before installing multiple unified power flow controllers at the initial installation location; and determining a flexible mutual assistance capability improvement index based on the power exchange volume of the multiple interconnection channels in the first interval, the total capacity of the interconnection channels, and the power exchange volume of the second interval in the current time period, wherein the flexible mutual assistance capability improvement index is used to quantify the power exchange capability of the transmission network before installing multiple unified power flow controllers at the initial installation location. The increased power exchange capacity of the transmission network after the power flow controller; the second interval power exchange quantity is used to quantify the power exchange capacity between two areas connected by the corresponding interconnection channel after multiple unified power flow controllers are installed at the initial installation location; based on the second interval power exchange quantity of multiple target interconnection channels in the current time period, the transmission capacity index is determined, wherein the transmission capacity index is used to quantify the safe operating margin of multiple target interconnection channels after multiple unified power flow controllers are installed at the initial installation location; based on the operating capacity of multiple unified power flow controllers in the current time period, the installation cost of multiple unified power flow controllers is determined; based on the zonal mutual assistance capacity index, the flexible mutual assistance capacity improvement index, the transmission capacity index, and the installation cost, the first objective function is determined.

[0035] Optionally, in complex scenarios where the transmission network has a multi-regional, multi-interconnection, and multi-target interconnection structure, and requires the configuration of multiple UPFCs, firstly, taking the state without UPFCs as a baseline, the regional mutual assistance capability index is calculated based on the first interval power exchange volume of all interconnection channels and the total capacity of the interconnection channels. This regional mutual assistance capability index can truly reflect the inter-regional power support level of the transmission network under the original structure. The regional mutual assistance capability index can be obtained in the following way. ,in, This refers to any one of multiple communication channels (i.e., any area). With the designated area The amount of power exchanged between the channels in the first interval during the current time period. This represents the total capacity of any communication channel during the current time period. This represents the weighting coefficient for any communication channel. This represents the total number of multiple regions. Subsequently, after the introduction of UPFC, the flexible mutual support capability improvement index is quantified by comparing the inter-regional power exchange volume before and after UPFC installation. This flexible mutual support capability improvement index can accurately capture the additional synergistic gain brought by UPFC, thereby avoiding misjudging the original high exchange capacity as a control effect and ensuring that the optimization target focuses on incremental value rather than existing performance. The second-inter-regional power exchange volume of any interconnection channel in the current time period can be obtained as follows: ,in, This represents the net increase in power exchange capacity resulting from the installation of UPFC. Furthermore, the improvement index for flexible mutual support capability is obtained as follows: Next, focusing on the target interconnection channels designated as critical paths, the transmission capacity index is calculated based on the power transmission level of the target interconnection channels after UPFC operation. This transmission capacity index measures the operational safety margin obtained after UPFC regulation and serves as a bottom-line safety valve to ensure the stable operation of the transmission network under extreme conditions. The transmission capacity index can be obtained in the following way. ,in, This represents the power exchange volume of any one of the multiple target communication channels in the second interval during the current time period. This represents the total capacity of any target communication channel during the current time period. Indicates the index of any target communication channel. This represents the total number of target communication channels. Furthermore, by integrating the operating capacity of multiple UPFCs, the installation cost of multiple unified power flow controllers is calculated. By incorporating the economic constraints of equipment purchase and maintenance into the decision-making closed loop, the installation cost can be obtained as follows: ,in, This represents the installation cost of any one of multiple unified power flow controllers. This represents the first preset cost coefficient. This represents the second preset cost coefficient. This represents the third preset cost coefficient. This represents the index of any unified power flow controller. This represents the total number of unified power flow controllers. Finally, based on the calculated partition mutual support capability index, flexible mutual support capability improvement index, transmission capacity index, and installation cost, the first objective function can be determined.

[0036] In an optional embodiment, a first objective function is determined based on the zonal mutual assistance capability index, the flexible mutual assistance capability improvement index, the transport capacity index, and the installation cost. This includes: normalizing the zonal mutual assistance capability index, the flexible mutual assistance capability improvement index, the transport capacity index, and the installation cost respectively to obtain normalized zonal mutual assistance capability index, normalized flexible mutual assistance capability improvement index, normalized transport capacity index, and normalized installation cost; and determining the first objective function based on the normalized zonal mutual assistance capability index, the normalized flexible mutual assistance capability improvement index, the normalized transport capacity index, and the normalized installation cost in the following manner:

[0037] ;

[0038] in, This represents the function value of the first objective function. This represents the normalized indicator of improved flexibility and mutual support capabilities. This represents the normalized index of regional mutual assistance capability. This represents the normalized transport capacity index. This represents the normalized installation cost. This represents the first weighting coefficient. This represents the second weighting coefficient. This represents the third weighting coefficient. This represents the fourth weighting coefficient.

[0039] Optionally, the indicators for zonal mutual support capacity, flexible mutual support capacity improvement, transmission capacity, and installation cost can be normalized separately. Since zonal mutual support capacity and transmission capacity are benefit-oriented (higher values ​​are better), while installation cost is cost-oriented (lower values ​​are better), and the original dimensions and magnitudes of these indicators differ significantly (e.g., power exchange can reach hundreds of megawatts, while costs can be in the tens of millions), direct aggregation would inevitably lead to a dominant term masking the influence of others, resulting in distorted optimization results. Normalization compresses all indicators into the [0,1] range, eliminating dimensional interference and ensuring that each indicator has equal weight in the first objective function. This allows the weighting coefficients to accurately reflect the planner's priorities regarding mutual support improvement, basic capacity, safety margin, and investment cost. Within the first objective function, the four weighting coefficients can be flexibly adjusted. For example, in urban power grids with dense loads and high external voltage pressure, the first and third weighting coefficients can be increased to strengthen the focus on power flow guidance and the safety of target connection channels; in budget-constrained renovation projects, the fourth weighting coefficient can be increased to prioritize controlling investment scale. Ultimately, by optimizing the first objective function, we can ensure that the obtained configuration strategy is technically optimal, economically reasonable, and engineering feasible, providing a replicable and scalable method for building a highly resilient, resilient, and economical power transmission network.

[0040] Step S206: Taking the maximization of the function value of the first objective function as the optimization objective, optimize the initial configuration strategy of the unified power flow controller in the current time period to obtain the target configuration strategy of the unified power flow controller in the current time period. The initial configuration strategy includes the initial installation location, initial number of installations, and initial installation capacity of the unified power flow controller in the transmission network.

[0041] Optionally, the initial configuration strategy of UPFC in the current time period is optimized with maximizing the function value of the first objective function as the optimization objective. This process does not select the best from the preset schemes, but instead uses the installation location, number of installations, and installation capacity of UPFCs as joint decision variables to construct a high-dimensional, mixed-integer nonlinear optimization problem. A set of optimal configurations is explored through a global search algorithm (including but not limited to genetic algorithms, particle swarm optimization, or mixed-integer programming) so that the comprehensive utility obtained reaches the theoretical extreme value under the premise of satisfying the safety constraints of power transmission network operation and the physical limitations of equipment. This optimization process no longer relies on a fixed pattern set by human experience, but allows the algorithm to make autonomous trade-offs. It can break through the fragmented process of "first select the site, then determine the capacity, and then verify" in related technical planning, and realize the simultaneous optimization of "site selection, capacity determination, and quantity" in an integrated manner, so that the final target configuration strategy has a high degree of objectivity and repeatability.

[0042] In one optional embodiment, when there are multiple unified power flow controllers, the initial configuration strategy of the unified power flow controllers in the current time period is optimized with the maximum function value of the first objective function as the optimization objective, to obtain the target configuration strategy of the unified power flow controllers in the current time period. This includes: determining the first constraints of the multiple unified power flow controllers in the current time period, wherein the first constraints include at least: the number of installed unified power flow controllers is less than or equal to a preset number of installed controllers, and the installation capacity of each of the multiple unified power flow controllers is less than the product of the number of installed controllers and the preset installation capacity; and optimizing the initial configuration strategy based on the first constraints with the maximum function value of the first objective function as the optimization objective, to obtain the target configuration strategy.

[0043] Optionally, in scenarios with multiple UPFCs, introducing a first constraint can ensure that the optimization process always seeks the optimal solution within a safe operating range. Specifically, firstly, a constraint is imposed on the upper limit of the number of UPFCs installed, i.e. ,in, It is a binary variable. This indicates that a UPFC will be installed on any target communication line. This indicates that no UPFC will be installed on any target communication line; Indicates the preset installation quantity. This represents the index of any target connection line. For example, due to insufficient substation expansion space, limited secondary system access capacity, or limited total investment, unlimited equipment deployment is not possible; therefore, constraints are placed on the installation capacity of the UPFC, i.e. ,in, This represents the preset installation capacity, which binds whether to install to the maximum capacity. If not installed, the installation capacity is forced to zero; if installed, the capacity can be freely selected between 0 and the maximum rated value. Ultimately, within this constraint framework, the initial configuration strategy of the UPFC is optimized. This ensures that in each iteration, the algorithm evaluates the comprehensive utility of different combinations while ensuring no violation of engineering boundaries. It eventually converges to the globally optimal or near-optimal configuration combination, avoiding strategy infeasibility due to ignoring the number and capacity limits of UPFCs, thus making the planning results truly engineering-practical.

[0044] Step S208: After responding to the target configuration strategy, a second objective function is determined, wherein the second objective function is used to indicate the degree of deviation between the actual operating state and the preset operating state of the transmission network within a predetermined period after responding to the target configuration strategy.

[0045] Optionally, after responding to the target configuration strategy of the UPFC, a second objective function is determined. This involves a closed-loop verification between the target configuration strategy at the planning layer and the response at the operation layer, thereby quantifying the degree to which the transmission network deviates from the expected target in actual operation. This second objective function is not a re-optimization of the configuration strategy, but rather an evaluation and feedback verification of the operational results of the configuration effect. Based on the target configuration strategy, it calculates the comprehensive deviation between the actual operating state of the transmission network (such as power flow distribution in tie channels, node voltage deviation, network loss, line load rate, and power flow crossing degree, etc.) and the preset ideal operating state within a predetermined period after responding to the target configuration strategy by simulating the control behavior of the UPFC under actual operating conditions. This evaluates whether the actual control effect after the UPFC installation is close to the preset planning target.

[0046] In an optional embodiment, where the transmission network includes multiple areas, multiple interconnection channels, and multiple unplanned channels, and each interconnection channel includes multiple interconnection lines, after responding to the target configuration strategy, a second objective function is determined, including: determining a power flow balance index based on the second load rate corresponding to each of the multiple interconnection lines included in the multiple interconnection channels during a predetermined time period, wherein the second load rate is used to quantify the degree of overload risk of the corresponding line after responding to the target configuration strategy; the power flow balance index is used to indicate the uniformity of the load rate distribution of the multiple interconnection channels after responding to the target configuration strategy; determining a voltage deviation index based on the average voltage of multiple equipment access points in the transmission network during the predetermined time period, wherein the voltage deviation index is used to indicate the voltage operation stability of the transmission network after responding to the target configuration strategy; and determining a power flow balance index based on the average voltage of multiple equipment access points during the predetermined time period, the equivalent conductance of multiple transmission lines in the transmission network during the predetermined time period, and the voltage phase angle difference. The following measures are taken: A network loss index is determined, which indicates the degree of voltage loss in the transmission network after responding to the target configuration strategy; a line overload risk index is determined based on the second load rate of multiple transmission lines in a predetermined time period, which indicates the degree of operational risk in the transmission network after responding to the target configuration strategy; a power flow crossing suppression index is determined based on the leakage power of multiple unplanned channels in a predetermined time period, where multiple unplanned channels represent sets of transmission lines that are not pre-set for power exchange between two corresponding regions in multiple regions after responding to the target configuration strategy; leakage power represents the active power flowing into the corresponding unplanned channel; and the power flow crossing suppression index indicates the proportion of the preset total power of the transmission network flowing into multiple unplanned channels after responding to the target configuration strategy; a second objective function is determined based on the power flow balance index, voltage deviation index, network loss index, line overload risk index, and power flow crossing suppression index.

[0047] Optionally, given the complex structure of the transmission network with multiple regions, interconnection channels, and unplanned channels, a second objective function is constructed after responding to the UPFC target configuration strategy. This function comprehensively characterizes the actual operational quality of the transmission network after UPFC regulation from five dimensions: power flow distribution balance, voltage operation stability, network operation economy, equipment operation safety, and power flow path controllability. Specifically, the power flow balance index indicates the degree of overload risk in the transmission network; the voltage deviation index captures the true impact of UPFC regulation on voltage support capacity, avoiding local voltage exceedances caused by reactive power imbalance due to active power regulation; the network loss index quantifies the changes in active power loss caused by power flow redistribution, ensuring that optimization does not sacrifice economy for safety; the line overload risk index indicates the degree of operational risk in the transmission network, rather than solely focusing on whether voltage exceeds limits; and the power flow crossing suppression index clearly distinguishes between planned and unplanned channels, calculating the proportion of leakage power flowing into non-target channels to the total planned exchange power to accurately quantify the UPFC's guiding capability on the electromagnetic loop network and bypass power flows. The above five categories of indicators, from different perspectives, collectively form a complete characterization of the transmission network's operating status. The power flow balance index can be obtained through the following method. , , ,in, This represents the second load factor of any link in any communication channel during a predetermined time period. This represents the average load rate of any communication channel during a predetermined time period. Indicates an index for any communication channel. This represents the total active power of any link in any communication channel during a predetermined time period. This represents the upper limit of the total active power of any tie line in any tie channel during a predetermined time period. The voltage deviation index can be obtained as follows: ,in, This represents the average voltage of any one of multiple device access points over a predetermined period. This represents the reference voltage of any device access point during a predetermined time period. Represents the index of any device access point. This represents the total number of access points across multiple devices. Network loss metrics can be obtained as follows: ,in, This represents the average voltage at any device access point during the current time period; This represents the average voltage of a specified device access point among multiple device access points during the current time period; This refers to any one of multiple transmission lines (i.e., any equipment connection point). and designated device access point The equivalent conductance of the transmission lines between them during a predetermined time period. This represents the voltage phase angle difference of any transmission line during a predetermined time period. This represents a collection of multiple transmission lines. The line overload risk index can be obtained as follows: ,in, This represents the second load factor of any transmission line during a predetermined time period. The power flow crossover suppression index can be obtained as follows: , ,in, This represents the leakage power of any one of the multiple unplanned channels during a predetermined time period. This represents a set of multiple unplanned channels. This represents the total active power of any unplanned channel during the predetermined time period. This represents the index of any unplanned channel. This represents the preset power of any transmission line. This indicates the preset total power of the power transmission network.

[0048] In an optional embodiment, a second objective function is determined based on the power flow balance index, voltage deviation index, network loss index, line overload risk index, and power flow cross-through suppression index. This includes: normalizing the power flow balance index, voltage deviation index, network loss index, line overload risk index, and power flow cross-through suppression index respectively to obtain normalized power flow balance index, normalized voltage deviation index, normalized network loss index, normalized line overload risk index, and normalized power flow cross-through suppression index; and determining the second objective function based on the normalized power flow balance index, normalized voltage deviation index, normalized network loss index, normalized line overload risk index, and normalized power flow cross-through suppression index in the following manner:

[0049] ;

[0050] in, This represents the function value of the second objective function. This represents the normalized power flow balance index. This represents the normalized voltage deviation index. This represents the normalized network loss metric. This represents the normalized line overload risk index. This represents the normalized current crossing inhibition index. This represents the fifth weighting coefficient. This represents the sixth weighting coefficient. This represents the seventh weighting coefficient. This represents the eighth weighting coefficient. This represents the ninth weighting coefficient.

[0051] Optionally, the second objective function is not a simple summation of operating states, but rather eliminates significant differences in dimensions and orders of magnitude among indicators through normalization. This ensures that previously incomparable physical quantities (such as kilovolt-level fluctuations in voltage deviation, dimensionless ratios of line load rates, and percentage proportions of power flow crossings) have equal decision-making weights under a unified scale, thereby constructing an evaluation system reflecting the overall operational quality of the transmission network. This normalization process prevents one type of indicator from overwhelming other indicators due to excessively large values, ensuring that the optimization process focuses on real operational risks. Based on this, the second objective function aims to minimize these risks, adjusting the importance of each indicator in the optimization process by introducing weighting coefficients, thus laying the evaluation foundation for building a highly resilient and intelligent transmission network.

[0052] Step S210: With the minimum function value of the second objective function as the optimization objective, the initial operation strategy of the transmission network during the predetermined time period is optimized to obtain the target operation strategy of the transmission network during the predetermined time period.

[0053] Optionally, the initial operation strategy of the transmission network during a predetermined time period is optimized with the goal of minimizing the function value of the second objective function. This optimization process is not a readjustment of the UPFC configuration, but rather, based on the determined optimal UPFC configuration scheme, the initial operation strategy (such as the average voltage and voltage phase angle of each equipment connection point, the active and reactive power adjustment of generators, the admittance adjustment of UPFC, and the target configuration strategy) is dynamically optimized using optimization algorithms (including but not limited to the original dual interior-point method). This allows the transmission network to actively approach the ideal operating state under real operating conditions, thereby minimizing the comprehensive operating cost constituted by five types of deviations: uneven power flow, voltage deviation, increased losses, overload risk, and power flow crossing. The initial operation strategy is usually set based on conventional scheduling rules or historical experience. This initial operation strategy cannot fully release the flexibility potential of UPFC, and may even cause new operational problems due to inappropriate control parameters. However, optimization with the goal of minimizing the function value of the second objective function autonomously finds a set of optimal real-time control commands to achieve the optimal operating state of the entire transmission network, thus obtaining the target operation strategy. Furthermore, the obtained target operation strategy can be substituted into the first objective function to obtain the fitness of the UPFC configuration strategy. This fitness directly drives the upper-level optimization algorithm to intelligently update the UPFC configuration strategy, so that the entire optimization process continues to iterate until the fitness converges or reaches the preset maximum number of iterations, so that both the target configuration strategy of UPFC and the operation strategy of the transmission network reach the optimal.

[0054] In one optional embodiment, the initial operation strategy of the transmission network during a predetermined time period is optimized with the minimum function value of the second objective function as the optimization objective, to obtain the target operation strategy of the transmission network during the predetermined time period. This includes: determining the second constraint conditions of the transmission network during the predetermined time period, wherein the second constraint conditions include at least: the average voltage of multiple equipment access points in the transmission network during the predetermined time period is within a preset voltage range; the total active power of multiple transmission lines in the transmission network during the predetermined time period is less than or equal to a preset active power; the power parameters of the generators at multiple equipment access points during the predetermined time period are within a preset power parameter range; and the difference between the power parameters of the generator at any equipment access point and the power parameters of the load during the predetermined time period is equal to the difference between the power parameters of the transmission line connected to any equipment access point and the power parameters provided to any equipment access point by the unified power flow controller. The power parameters include at least: total active power and total reactive power. Based on the second constraint conditions, the initial operation strategy is optimized with the minimum function value of the second objective function as the optimization objective, to obtain the target operation strategy.

[0055] Optionally, minimizing the function value of the second objective function is taken as the optimization objective. During the optimization of the initial operation strategy of the transmission network within a predetermined time period, the second constraint constitutes the physical boundary and safety baseline of the optimization, ensuring that the obtained target operation strategy is safe and feasible. (i.e., voltage constraint), where, This represents the average voltage of any one of multiple device access points over a predetermined period. This indicates the lower limit of the preset voltage range for any device access point during a predetermined time period. This indicates the upper limit of the preset voltage range for any device access point during a predetermined time period. This voltage constraint can ensure that the voltage amplitude of all nodes is within the allowable range, preventing equipment insulation damage or abnormal voltage at the user end. (i.e., line capacity constraints), where, This represents the total active power of multiple transmission lines during a predetermined time period. This indicates the preset active power. This line capacity constraint can ensure that the actual power flow of all transmission lines does not exceed their thermal stability limit, thus avoiding overload tripping. , (i.e., generator output constraint), where, This represents the total active power of the generator at any one of the multiple device access points during a predetermined time period. This represents the lower limit of the preset total active power range for any device access point during a predetermined time period. This indicates the upper limit of the preset total active power range for any device access point during a predetermined time period. This represents the total reactive power of the generator at any device connection point during a predetermined time period. This represents the lower limit of the preset total reactive power range for any device access point during a predetermined time period. This indicates the upper limit of the preset total reactive power range of any device access point during a predetermined time period. This generator output constraint can ensure that the generator operates within the rated active power output range and reactive power output range, preventing the generator from exceeding limits or becoming unstable. , (i.e., power balance constraint), where, This represents the total active power of the load at any device access point during a predetermined time period. This represents the total active power provided by UPFC to any device access point during a predetermined time period. This represents the total reactive power of the load at any device access point during a predetermined time period. This represents the total reactive power provided by UPFC to any device access point during a predetermined time period. This represents the total active power of multiple transmission lines connected to any given device access point. This represents the total active power of the transmission line between any device access point and a specified device node. This represents the total reactive power of multiple transmission lines connected to any given device access point. This represents the total reactive power of the transmission line between any device access point and a specified device node. This power balance constraint is used to accurately express the power conservation law for each device access point in the transmission network. Finally, under the above second constraint, optimization is performed with the goal of minimizing the second objective function, so that the output target operation strategy is the best operating state that the transmission network can achieve under the current configuration, providing a feasible, verifiable, and evolvable intelligent operation paradigm for realizing a new generation of highly resilient transmission networks.

[0056] Through the above steps S202 to S210, the initial installation location of the unified power flow controller in the transmission network can be determined based on the current operating data of the distribution network. This allows for the construction of a first objective function to optimize the initial configuration strategy of the unified power flow controller, determine the target configuration strategy of the unified power flow controller, and further construct a second objective function after responding to the target configuration strategy to optimize the initial operating strategy of the transmission network during a predetermined period. This aims to accurately determine the target operating strategy of the transmission network during the predetermined period, thereby achieving the technical effect of improving the operating efficiency and cross-regional coordination capability of the urban transmission network. This also solves the technical problem of low operating efficiency and poor cross-regional coordination capability of the urban transmission network caused by incomplete consideration of factors when facing complex operating environments.

[0057] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation method. Figure 4 This is a flowchart of an optional method for determining the operation strategy of a power transmission network according to an embodiment of the present invention, such as... Figure 4 As shown, the method includes:

[0058] S1: Obtain the operational data of the urban power transmission network and construct a power grid topology model. Specifically, this includes: First, structurally modeling the urban power transmission network, abstracting it into a network model composed of a set of nodes and a set of branches. Nodes represent equipment access points, and branches represent transmission lines. Next, based on the current operational data of the power transmission network, obtain the physical parameters of each node and each line in the network model, and establish an AC power flow model for the network model. The specific implementation process is the same as in the aforementioned embodiments and will not be repeated here.

[0059] S2: Based on the power grid topology model, perform power grid partition identification to obtain the partitioning results of the urban transmission network. Specifically, this includes: dividing the transmission network to ensure that the electrical coupling strength of each of the multiple regions after partitioning is greater than the preset first coupling strength, and the electrical coupling strength between any two regions is less than the preset second coupling strength. The specific implementation process is the same as the aforementioned embodiment, and will not be repeated here.

[0060] S3: Identify and analyze the interconnecting lines between different zones to determine the interconnecting channels and key sections of the zones. Specifically, this includes: First, identifying the set of multiple transmission lines that physically connect two zones as the interconnecting channels between those two zones, thus obtaining multiple interconnecting channels composed of multiple zones. Next, identifying the interconnecting channel among these multiple interconnecting channels where the power exchange volume in the first interval is greater than a preset power exchange volume, and the total capacity of the interconnecting channels is greater than a preset capacity, as the target interconnecting channel (i.e., the key section). The specific implementation process is the same as in the aforementioned embodiments and will not be repeated here.

[0061] S4: Based on the power flow characteristics and power flow sensitivity analysis of the connection channel, the initial installation location of the UPFC is selected. Specifically, among the multiple connection lines included in the determined target connection channel, the connection line with a first load rate greater than the preset load rate and a power flow regulation sensitivity greater than the preset sensitivity is determined as the target connection line. The initial installation location of the UPFC is determined on the target connection line. The specific implementation process is the same as in the aforementioned embodiment, and will not be repeated here.

[0062] S5: Establish an equivalent mathematical model of the unified power flow controller at the initial installation location of the UPFC. Specifically, this includes updating the AC power flow model at the selected initial installation location of the UPFC and establishing an injection-type equivalent mathematical model based on the UPFC. The specific implementation process is the same as in the aforementioned embodiments and will not be repeated here.

[0063] S6: Construct a two-layer optimization model based on the improvement of partition mutual assistance capability, solve the two-layer optimization model, and obtain the optimal configuration scheme and optimized running results of UPFC, specifically including: Figure 5This is a flowchart of an optional two-layer optimization model according to an embodiment of the present invention. As shown in the diagram, firstly, in the upper planning layer, a first objective function is established based on the zonal mutual support capability index, the flexible mutual support capability improvement index, the transport capacity index, and the installation cost. Based on the first constraints (i.e., satisfying the installation quantity constraint, capacity upper and lower limit constraint, and candidate location constraint), the optimization objective is to maximize the function value of the first objective function (including maximizing zonal mutual support capability, maximizing the flexible mutual support capability improvement, maximizing the transport margin at key sections, and minimizing equipment investment cost). An improved genetic algorithm or particle swarm optimization algorithm is used to optimize the initial configuration strategy of the UPFC (i.e., UPFC installation location, installation quantity, and capacity configuration), ultimately obtaining the target configuration strategy of the UPFC. Then, the target configuration strategy is input... Entering the lower operation layer, a second objective function is established based on the power flow balance index, voltage deviation index, network loss index, line overload risk index, and power flow cross-through suppression index. Based on the second constraints (i.e., power flow balance constraint, node voltage constraint, line capacity constraint, generator output constraint, and UPFC operation constraint), the optimization objective is to minimize the function value of the second objective function (including optimal cross-sectional power flow balance, minimum voltage deviation, minimum network loss, minimum line overload risk, and optimal power flow cross-through suppression effect). The original dual interior point method is used to optimize the initial operation strategy of the transmission network (i.e., node voltage amplitude and phase angle, line active and reactive power flow, generator output, and UPFC control variables). Finally, the target operation strategy of the transmission network is obtained. The specific implementation process is the same as the aforementioned embodiment and will not be repeated here.

[0064] This embodiment can achieve at least one of the following effects: (1) It separates the planning goal of improving the regional mutual assistance capability from the operational deviation goals, and constructs a two-layer optimization structure of "upper-level planning and lower-level operation", making the model logic clearer and the physical meaning more explicit; (2) The upper layer directly targets the regional flexible mutual assistance capability, cross-regional support capability and cross-sectional transmission margin, which is more in line with the core needs of the flexible interconnection planning of urban regional power grids; (3) The lower layer takes operational deviation items such as power flow balance, voltage deviation, network loss and overload risk, and power flow crossing suppression effect as optimization objects, which can be more realistic. (4) Introducing the power flow crossing suppression index to achieve a quantitative characterization of unplanned power flow in the electromagnetic ring network, and improving the expression accuracy of UPFC's power flow path guidance capability through the power flow path deviation index, so that UPFC planning is upgraded from "power regulation equipment configuration problem" to "power flow path controllable optimization problem", significantly enhancing the innovation level and engineering interpretability of the method; (5) Through initial installation location screening, UPFC modeling and double-layer nested solution, the coordinated optimization of equipment location, capacity and operation regulation parameters can be achieved simultaneously.

[0065] This embodiment also provides a power transmission network operation strategy determination device, which is used to implement the above embodiments and preferred embodiments, and will not be repeated as already described. As used below, the terms "module" and "device" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0066] According to an embodiment of the present invention, an apparatus embodiment for implementing the above-described method for determining the operation strategy of a power transmission network is also provided. Figure 6 This is a schematic diagram of the structure of a power transmission network operation strategy determination device according to an embodiment of the present invention, as shown below. Figure 6 As shown, the above-mentioned power transmission network operation strategy determination device includes: an initial installation location determination module 600, a first objective function determination module 602, a target configuration strategy determination module 604, a second objective function determination module 606, and a target operation strategy determination module 608, wherein:

[0067] The initial installation location determination module 600 is used to determine the initial installation location of the unified power flow controller in the current time period based on the operating data of the power transmission network in the current time period.

[0068] The first objective function determination module 602 is connected to the initial installation position determination module 600 and is used to determine the first objective function, wherein the first objective function represents the comprehensive utility of the transmission network in the current time period;

[0069] The target configuration strategy determination module 604 is connected to the first objective function determination module 602. It is used to optimize the initial configuration strategy of the unified power flow controller in the current time period with the maximum function value of the first objective function as the optimization objective, so as to obtain the target configuration strategy of the unified power flow controller in the current time period. The initial configuration strategy includes the initial installation location, initial number of installations and initial installation capacity of the unified power flow controller in the transmission network.

[0070] The second objective function determination module 606 is connected to the target configuration strategy determination module 604 and is used to determine the second objective function after responding to the target configuration strategy. The second objective function is used to indicate the degree of deviation between the actual operating state of the power transmission network and the preset operating state within a predetermined period after responding to the target configuration strategy.

[0071] The target operation strategy determination module 608 is connected to the second objective function determination module 606. It is used to optimize the initial operation strategy of the transmission network during a predetermined period with the minimum function value of the second objective function as the optimization objective, so as to obtain the target operation strategy of the transmission network during the predetermined period.

[0072] It should be noted that the above modules can be implemented by software or hardware. For example, for the latter, it can be implemented in the following ways: the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0073] It should be noted that the initial installation location determination module 600, the first objective function determination module 602, the target configuration strategy determination module 604, the second objective function determination module 606, and the target operation strategy determination module 608 correspond to steps S202 to S210 in the embodiments. The instances and application scenarios implemented by the above modules and corresponding steps are the same, but are not limited to the content disclosed in the above embodiments. It should be noted that the above modules, as part of the device, can run in a computer terminal.

[0074] It should be noted that the optional or preferred implementation methods of this embodiment can be found in the relevant descriptions in the embodiments, and will not be repeated here.

[0075] The aforementioned power transmission network operation strategy determination device may further include a processor and a memory. The initial installation location determination module 600, the first objective function determination module 602, the target configuration strategy determination module 604, the second objective function determination module 606, and the target operation strategy determination module 608 are all stored in the memory as program modules. The processor executes the aforementioned program modules stored in the memory to realize the corresponding functions.

[0076] The processor contains a core that retrieves the corresponding program modules from memory. One or more cores may be configured. Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory includes at least one memory chip.

[0077] According to an embodiment of this application, an embodiment of a non-volatile storage medium is also provided. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, wherein, when the program runs, it controls the device where the non-volatile storage medium is located to execute any of the above-mentioned power transmission network operation strategy determination methods.

[0078] Optionally, in this embodiment, the non-volatile storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals, and the non-volatile storage medium includes stored programs.

[0079] Optionally, during program execution, the device containing the non-volatile storage medium may be controlled to execute any of the above-mentioned methods for determining the operation strategy of the power transmission network.

[0080] According to an embodiment of this application, an embodiment of a processor is also provided. Optionally, in this embodiment, the processor is used to run a program, wherein the program executes any of the above-described methods for determining the operation strategy of a power transmission network.

[0081] According to an embodiment of this application, an embodiment of a computer program product is also provided. Optionally, in this embodiment, the computer program product includes a computer program that, when executed by a processor, implements the steps of the above-described method for determining the operation strategy of a power transmission network.

[0082] Optionally, when the above-mentioned computer program product is executed on a data processing device, it is suitable for executing any of the above-mentioned methods for determining the operation strategy of the power transmission network.

[0083] This invention provides an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. The processor executes any of the above-described methods for determining the operation strategy of a power transmission network.

[0084] The order of the above embodiments of the present invention is merely for description and does not represent the superiority or inferiority of the embodiments.

[0085] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0086] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of modules described above can be a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between modules, and may be electrical or other forms.

[0087] The modules described above as separate components may or may not be physically separate. Similarly, the components shown as modules may or may not be physical modules; they may be located in one place or distributed across multiple modules. Some or all of the modules can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0088] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0089] If the aforementioned integrated modules are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable non-volatile storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a non-volatile storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this invention. The aforementioned non-volatile storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0090] The above are merely preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for determining the operation strategy of a power transmission network, characterized in that, include: Based on the power grid's operational data for the current time period, determine the initial installation location of the unified power flow controller for that current time period; Determine a first objective function, wherein the first objective function represents the overall utility of the power transmission network in the current time period; With the goal of maximizing the function value of the first objective function, the initial configuration strategy of the unified power flow controller in the current time period is optimized to obtain the target configuration strategy of the unified power flow controller in the current time period. The initial configuration strategy includes the initial installation location, initial number of installations, and initial installation capacity of the unified power flow controller in the power transmission network. After responding to the target configuration strategy, a second objective function is determined, wherein the second objective function is used to indicate the degree of deviation between the actual operating state and the preset operating state of the power transmission network within a predetermined period after responding to the target configuration strategy; With the goal of minimizing the function value of the second objective function, the initial operation strategy of the power transmission network during the predetermined time period is optimized to obtain the target operation strategy of the power transmission network during the predetermined time period.

2. The method according to claim 1, characterized in that, Determining the initial installation location of the unified power flow controller based on the transmission network's operational data for the current time period includes: The power transmission network is divided into multiple regions, wherein the electrical coupling strength of each of the multiple regions is greater than a preset first coupling strength, and the electrical coupling strength between any two regions is less than a preset second coupling strength. Based on the multiple regions, multiple interconnection channels of the power transmission network in the current time period are obtained. Each of the multiple interconnection channels includes multiple interconnection lines connecting two regions in the multiple regions. Each of the multiple interconnection lines represents a single power transmission line that is physically directly connected to the two regions. The single power transmission line is one of the multiple power transmission lines in the power transmission network. The power exchange volume of the plurality of communication channels in the first interval and the total capacity of the communication channels are determined respectively in the current time period. The power exchange volume of the first interval is used to quantify the power exchange capacity between the two regions connected by the corresponding communication channel before the unified power flow controller is installed at the initial installation location. The total capacity of the communication channels is used to quantify the power carrying capacity of the corresponding communication channel. Among the multiple communication channels, the communication channel whose first interval power exchange is greater than a preset power exchange and whose total capacity is greater than a preset capacity is identified as the target communication channel. The initial installation location is determined based on the multiple communication lines included in the target communication channel.

3. The method according to claim 2, characterized in that, Determining the initial installation location based on the multiple communication lines included in the target communication channel includes: The target communication channel includes multiple communication lines, each with a first load rate and power flow regulation sensitivity in the current time period. The first load rate is used to quantify the degree of overload risk of the corresponding communication line, and the power flow regulation sensitivity is used to quantify the degree of influence of the corresponding communication line on the power exchange between the two connected areas. Among the multiple communication lines included in the target communication channel, the communication line with a first load rate greater than a preset load rate and a power flow regulation sensitivity greater than a preset sensitivity is identified as the target communication line. The designated location on the target communication line is determined as the initial installation location.

4. The method according to claim 1, characterized in that, When the power grid includes multiple regions, multiple interconnection channels, and multiple target interconnection channels, and there are multiple unified power flow controllers, determining the first objective function includes: Based on the power exchange volume of the multiple interconnection channels in the first interval of the current time period and the total capacity of the interconnection channels, the partition mutual assistance capability index is determined. The partition mutual assistance capability index is used to quantify the comprehensive power exchange capability of the transmission network before multiple unified power flow controllers are installed at the initial installation location. Based on the power exchange volume of the multiple interconnection channels in the first interval during the current time period, the total capacity of the interconnection channels, and the power exchange volume of the second interval, a flexible mutual assistance capability enhancement index is determined. The flexible mutual assistance capability enhancement index is used to quantify the increased power exchange capacity of the transmission network after the multiple unified power flow controllers are installed at the initial installation location. The second interval power exchange volume is used to quantify the power exchange capacity between the two regions connected by the corresponding interconnection channel after the multiple unified power flow controllers are installed at the initial installation location. Based on the power exchange volume of the multiple target communication channels in the second interval during the current time period, a transmission capacity index is determined, wherein the transmission capacity index is used to quantify the safe operating margin of the multiple target communication channels after the multiple unified power flow controllers are installed at the initial installation location. The installation cost of the multiple unified power flow controllers is determined based on their respective operating capacities during the current time period. The first objective function is determined based on the partition mutual assistance capability index, the flexible mutual assistance capability improvement index, the transportation capacity index, and the installation cost.

5. The method according to claim 4, characterized in that, The determination of the first objective function based on the partition mutual assistance capability index, the flexible mutual assistance capability improvement index, the transmission capacity index, and the installation cost includes: The partition mutual assistance capability index, the flexible mutual assistance capability improvement index, the transportation capacity index, and the installation cost are normalized respectively to obtain the normalized partition mutual assistance capability index, the normalized flexible mutual assistance capability improvement index, the normalized transportation capacity index, and the normalized installation cost. Based on the normalized partition mutual assistance capability index, the normalized flexible mutual assistance capability improvement index, the normalized transmission capacity index, and the normalized installation cost, the first objective function is determined as follows: ； in, This represents the function value of the first objective function. This represents the normalized indicator of improved flexible mutual support capability. This represents the normalized partition mutual assistance capability index. This represents the normalized transport capacity index. This represents the normalized installation cost. This represents the first weighting coefficient. This represents the second weighting coefficient. This represents the third weighting coefficient. This represents the fourth weighting coefficient.

6. The method according to claim 1, characterized in that, When there are multiple unified power flow controllers, the optimization of the initial configuration strategy of the unified power flow controller in the current time period, with the maximization of the function value of the first objective function as the optimization objective, to obtain the target configuration strategy of the unified power flow controller in the current time period, includes: A first constraint condition is determined for multiple unified power flow controllers in the current time period, wherein the first constraint condition includes at least: the number of installed unified power flow controllers is less than or equal to a preset number of installed controllers, and the installation capacity of each of the multiple unified power flow controllers is less than the product of the number of installed controllers and the preset installation capacity. Based on the first constraint, the initial configuration strategy is optimized with the goal of maximizing the function value of the first objective function, to obtain the target configuration strategy.

7. The method according to claim 1, characterized in that, In the case where the transmission network includes multiple areas, multiple interconnection channels, and multiple unplanned channels, and each of the multiple interconnection channels includes multiple interconnection lines, determining the second objective function after responding to the target configuration strategy includes: Based on the second load rate of each of the multiple communication channels and the multiple communication lines respectively during the predetermined time period, a power flow balance index is determined, wherein the second load rate is used to quantify the degree of overload risk of the corresponding line after responding to the target configuration strategy; the power flow balance index is used to indicate the uniformity of the load rate distribution of the multiple communication channels after responding to the target configuration strategy. Based on the average voltage of multiple equipment access points in the power transmission network during the predetermined time period, a voltage deviation index is determined, wherein the voltage deviation index is used to indicate the voltage operation stability of the power transmission network after responding to the target configuration strategy; Based on the average voltage of the multiple device access points during the predetermined time period, the equivalent conductance and voltage phase angle difference of multiple transmission lines in the transmission network during the predetermined time period, a network loss index is determined, wherein the network loss index is used to indicate the degree of voltage loss of the transmission network after responding to the target configuration strategy. Based on the second load rate of the multiple transmission lines during the predetermined time period, a line overload risk index is determined, wherein the line overload risk index is used to indicate the degree of operational risk of the transmission network after responding to the target configuration strategy; Based on the leakage power of the multiple unplanned channels during the predetermined time period, a power flow crossing suppression index is determined. The multiple unplanned channels represent sets of transmission lines that, after responding to the target configuration strategy, are not pre-set for power exchange between two corresponding regions in the multiple regions. The leakage power represents the active power flowing into the corresponding unplanned channel. The power flow crossing suppression index indicates the percentage of the preset total power of the transmission network flowing into the multiple unplanned channels after responding to the target configuration strategy. The second objective function is determined based on the power flow balance index, the voltage deviation index, the network loss index, the line overload risk index, and the power flow crossover suppression index.

8. The method according to claim 7, characterized in that, The determination of the second objective function based on the power flow balance index, the voltage deviation index, the network loss index, the line overload risk index, and the power flow crossover suppression index includes: The power flow balance index, voltage deviation index, network loss index, line overload risk index, and power flow cross-through suppression index are normalized respectively to obtain normalized power flow balance index, normalized voltage deviation index, normalized network loss index, normalized line overload risk index, and normalized power flow cross-through suppression index. Based on the normalized power flow balance index, the normalized voltage deviation index, the normalized network loss index, the normalized line overload risk index, and the normalized power flow ride-through suppression index, the second objective function is determined as follows: ； in, This represents the function value of the second objective function. This represents the normalized power flow balance index. This represents the normalized voltage deviation index. This represents the normalized network loss metric. This represents the normalized line overload risk index. This represents the normalized power flow crossing suppression index. This represents the fifth weighting coefficient. This represents the sixth weighting coefficient. This represents the seventh weighting coefficient. This represents the eighth weighting coefficient. This represents the ninth weighting coefficient.

9. The method according to claim 1, characterized in that, The optimization of the initial operation strategy of the transmission network during the predetermined time period, with the goal of minimizing the function value of the second objective function, to obtain the target operation strategy of the transmission network during the predetermined time period, includes: A second constraint condition is determined for the power transmission network during a predetermined time period, wherein the second constraint condition includes at least: the average voltage of multiple equipment access points in the power transmission network during the predetermined time period is within a preset voltage range; the total active power of multiple transmission lines in the power transmission network during the predetermined time period is less than or equal to a preset active power; the power parameters of the generators at the multiple equipment access points during the predetermined time period are within a preset power parameter range; and the difference between the power parameter of the generator at any of the multiple equipment access points and the power parameter of the load during the predetermined time period is equal to the difference between the power parameter of the transmission line connected to the any of the equipment access points and the power parameter provided to the any of the equipment access points by the unified power flow controller, wherein the power parameters include at least: total active power and total reactive power; Based on the second constraint, the initial running strategy is optimized with the goal of minimizing the function value of the second objective function, to obtain the target running strategy.

10. An electronic device, characterized in that, It includes one or more processors and a memory, the memory being used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to implement the method for determining the operation strategy of the power transmission network as described in any one of claims 1 to 9.

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