Power distribution network controllable resource technology-economic feasible region aggregation method and system

Abstract

The invention discloses a power distribution network controllable resource technology-economic feasible region aggregation method and system. The method comprises the following steps: S1, obtaining operation basic data of a power distribution network; s2, according to the operation basic data, constructing a power distribution network controllable resource technology-economic feasible region aggregation model considering controllable resource adjustment capability and system operation economic characteristics; s3, solving the power distribution network controllable resource technology-economic feasible region aggregation model according to a minimum circumcircle method to obtain a power distribution network controllable resource technology-economic feasible region; and S4, performing optimal scheduling on the controllable resources of the power distribution network according to the controllable resource technology-economic feasible region of the power distribution network. According to the method, the controllable resource technology-economic feasible region of the power distribution network can be quickly solved, and massive heterogeneous controllable resources are promoted to participate in power distribution network optimization scheduling and new energy local consumption.

Description

Technical Field

[0001] The present invention belongs to the technical field of distribution network controllable resource aggregation, and specifically relates to a distribution network controllable resource technology-economic feasible domain aggregation method and system. Background Art

[0002] my country is accelerating the construction of a new power system with new energy as the main body, which has important guiding significance for the transformation and development of my country's energy and power. However, the characteristics of new energy such as randomness, intermittency and volatility have brought severe challenges to the security of the power grid. With the continuous deepening of the construction of new power systems, the types and quantities of flexible and controllable resources in the distribution network are gradually increasing, but their utilization rate is relatively low, making it difficult to effectively participate in the optimization and dispatching of the power grid. Therefore, how to efficiently aggregate massive flexible and controllable resources, coordinate the dispatch of massive, dispersed, diverse and flexible controllable resources on the user side, and provide the system with available regulation capabilities has become a hot issue in current research.

[0003] At present, the research on controllable resource aggregation is mainly focused on meeting the technical constraints of system operation, but there are relatively few methods that also need to take into account economic characteristics, and there is a lack of characterization methods for the economic characteristics of controllable resource aggregation. The feasible domain of controllable resources in the distribution network is the output domain of controllable resources that meets the feasible domain of distribution network operation constraints. It is essentially a parameter domain of distribution network operation constraints. If the output of controllable resources is also regarded as a variable, then the feasible domain of controllable resources becomes the projection of the feasible domain of distribution network operation on the subdomain space composed of controllable resource output variables. Compared with the existing power feasible domain method, the technical-economic feasible domain method considers the aggregation equivalence characteristics of power and cost at the same time, which provides feasible information for power grid operation and regulation that comprehensively considers technical constraints and economy. In addition, the current description of the feasible domain of controllable resources in the distribution network usually adopts methods such as Monte Carlo simulation, asymptotic vertex enumeration, and boundary contraction. These methods describe the feasible domain by traversing operating points, enumerating vertex outer approximation, shrinking boundary inner approximation, etc. Although they can ensure the accuracy of the description, the computational complexity is high. For example, the academic paper "An efficient method for estimating capability curve of virtual power plant" adopts the feasible domain asymptotic vertex enumeration method to describe the output feasible region of the subsystem, realizing the external equivalence of the optimal scheduling model of the subsystem. The asymptotic vertex enumeration method is a vertex-based convex hull projection algorithm that is asymptotic from inside to outside. This method uses the outer normal vector of the hyperplane of the convex hull as the search direction, identifies new vertices on the convex hull, and enumerates new vertices in each round of iteration until the accuracy requirements are met. Since there may be normal vectors that are repeated with the historical search direction during the enumeration process, the search direction of this method is redundant. The academic paper "Flexibility Resource Aggregation Reference Model and Quantitative Index System" proposes a flexibility resource aggregation model composed of equivalent generators and equivalent energy storage, and introduces a high-dimensional polyhedron projection and boundary contraction algorithm. While keeping the slopes of each face of the circumscribed polyhedron unchanged, each face of the circumscribed polyhedron is contracted inward until all vertices are completely contracted to the inside or boundary of the projected polyhedron to become an inscribed polyhedron. When the dimension of the circumscribed polyhedron is high, the computational complexity of this method is correspondingly high. The invention patent "Method for constructing a new energy equivalent model with quantified high-dimensional feasible domain projection flexibility" (application number 202311575250.3) constructs an adjustable power domain for new energy stations and equivalent energy storage models, and uses a boundary contraction algorithm to iteratively update the adjustable power domain by finding specific external points and internal points until all vertices are completely contracted to the interior or boundary of the projected polyhedron.

[0004] In summary, most current research focuses on the characterization of technical characteristics of controllable resource aggregation, and lacks consideration of the economic characteristics of aggregation. At the same time, research on methods for characterizing feasible domains is also a current focus. Summary of the invention

[0005] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method and system for aggregating the technical-economic feasible domain of controllable resources in a distribution network to solve the problem of effectively characterizing the aggregation of the feasible domain of controllable resources in a distribution network while considering both technical and economic characteristics.

[0006] In order to achieve the above-mentioned invention object, the technical solution adopted by the present invention is: a method for aggregating the technical and economically feasible domain of controllable resources in a distribution network, comprising the following steps:

[0007] S1. Obtain basic operation data of the distribution network;

[0008] S2. Based on the basic operation data, a distribution network controllable resource technology-economic feasible domain aggregation model is constructed that takes into account the controllable resource regulation capability and system operation economic characteristics;

[0009] S3. Solving the distribution network controllable resource technology-economic feasible region aggregation model according to the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible region;

[0010] S4. Optimize the dispatch of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network.

[0011] Furthermore, in step S1, the basic operation data includes distribution network system topology, line parameters, technical characteristics and economic characteristics data of controllable resources, photovoltaic output forecast data and load forecast data.

[0012] Furthermore, in step S2, the controllable resource regulation capability refers to the power consumption P of various controllable resources in the distribution network area at time t. FL,t satisfy:

[0013] P min,FL,t ≤P FL,t ≤P max,FL,t

[0014] Where P min,FL,t , P max,FL,t They respectively represent the lower and upper limits of the power adjustable capabilities of various controllable resources in the distribution network area at time t under the condition of meeting the user-side demand constraints.

[0015] Furthermore, in step S2, the constructed distribution network controllable resource technology-economic feasible domain aggregation model is expressed as:

[0016]

[0017] In the formula, Ω PCrepresents the economic-technical feasible domain, P and C represent the adjustable power and regulation cost of the equal-valued aggregation port, A represents the coefficient matrix, b represents the constant vector, S PC represents the system operation plan, and Φ represents the distribution network operation constraint set.

[0018] Furthermore, the constraints in the distribution network operation constraint set include distribution network operation flow constraints, system operation voltage constraints and controllable resource regulation capability constraints.

[0019] Furthermore, the step S3 is specifically as follows:

[0020] S31, respectively obtaining the upper and lower limits of the variables P and C in the distribution network controllable resource technology-economic feasible region aggregation model, and then determining the initial controllable resource technology-economic feasible region;

[0021] S32, taking the vertex of the current feasible region as the center of the circle, finding the minimum circumscribed circle of the feasible region;

[0022] S33, using the direction of the intersection of the minimum circumscribed circle and the feasible region to be determined as the normal vector, and the tangent line of the corresponding tangent vector as the newly added boundary, to update the current feasible region;

[0023] S34, repeating steps S32 to S33, gradually updating the current feasible domain until the diameter of its corresponding minimum circumscribed circle is smaller than a given minimum value, and taking the current feasible domain as the final technical-economic feasible domain of controllable resources of the distribution network.

[0024] Furthermore, in step S32, the formula for obtaining the minimum circumscribed circle of the feasible domain with the vertex of the current feasible domain as the center is specifically:

[0025] min||X PC,out -X PC,in ||2

[0026] stΦ={AX+BY≤d}

[0027] Where, X PC,out represents the vertex of the current feasible region, X PC,in represents the intersection of the minimum circumscribed circle and the feasible domain to be determined, X represents the technical-economic feasible domain variable, Y represents the adjustment variable, d represents the constant vector, A represents the coefficient matrix of variable X, and B represents the coefficient matrix of variable Y.

[0028] Furthermore, the step S33 is specifically as follows:

[0029] S33-1. Calculate the slope of the tangent line at the intersection of the minimum circumscribed circle and the feasible region to be determined;

[0030] The slope k is expressed as:

[0031]

[0032] In the formula, (X 1,out , X 2,out ) represents the vertex coordinates of the current feasible region, (X 1,in , X 2,in ) represents the coordinates of the intersection of the minimum circumscribed circle and the feasible region to be determined;

[0033] S33-2, according to the quadrant where the normal vector is located, determine the tangent line where the corresponding tangent vector is located as the newly added boundary;

[0034] When the normal vector is in the first or second quadrant, a new boundary Ω is added PC,add It is expressed as:

[0035] Ω PC,add ={kX 1,in -X 2,in +b≤0}

[0036] When the normal vector is in the third or fourth quadrant, a new boundary Ω is added PC,add It is expressed as:

[0037] Ω PC,add ={-kX 1,in +X 2,in -b≤0}

[0038] In the formula, b represents the intercept of the slope-intercept form of the line equation.

[0039] Furthermore, the step S4 is specifically as follows:

[0040] Determine the technical and economic feasible range of the controllable resources of the distribution network based on the determined technical-economic feasible domain of the controllable resources of the distribution network;

[0041] With the goal of maximizing the on-site consumption of new energy in the distribution network, the dispatch plan for the controllable resources of the distribution network is determined, and the controllable resources of the distribution network are dispatched based on the basic operating data of the distribution network.

[0042] A distribution network controllable resource technology-economic feasible domain aggregation system, comprising:

[0043] A data acquisition module is used to obtain basic operation data of the distribution network;

[0044] A model building module, used to build a distribution network controllable resource technology-economic feasible domain aggregation model taking into account the controllable resource regulation capability and system operation economic characteristics according to the basic operation data;

[0045] A feasible domain calculation module is used to solve the distribution network controllable resource technology-economic feasible domain aggregation model by using the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible domain;

[0046] The resource scheduling module is used to optimize the scheduling of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network and basic operation data.

[0047] The beneficial effects of the present invention are:

[0048] (1) The present invention proposes a method for characterizing the technical-economic feasible domain of controllable resources in a distribution network. The method uses the form of a minimum circumscribed circle to calculate the technical-economic feasible domain. First, the maximum possible feasible domain is initialized, and the boundary of the feasible domain is asymptotically updated by using the tangent characteristics of the geometric circle. Under the premise of ensuring the accuracy of the feasible domain characterization, the present invention significantly reduces the computational complexity, thereby effectively describing the aggregation characteristics of the technical-economic feasible domain of controllable resources in the distribution network.

[0049] (2) Compared with the existing power feasible domain method, the technical-economic feasible domain of the present invention not only considers the aggregate equivalent characteristics of power, but also considers the cost factor. This method can provide important decision support information for system dispatching when participating in the operation and regulation of the power grid, ensuring that while meeting the technical constraints of the system, the economic requirements can also be taken into account. This means that when dispatching flexible resources, it is necessary not only to ensure that they can technically achieve the required regulation effect, but also to ensure that such regulation has a certain economy and does not lead to excessive costs.

[0050] (3) The present invention provides an efficient and accurate solution for the aggregation of controllable resources in the distribution network, which helps to optimize the operation of the distribution system, improve energy efficiency, reduce costs, and promote the local consumption of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 This is a flow chart of the method for aggregating the technical and economically feasible domains of controllable resources in the distribution network in an embodiment of the present application.

[0052] Figure 2 It is a schematic diagram of a line simulation model corresponding to the line topology structure of the distribution network containing controllable resources in an embodiment of the present application.

[0053] Figure 3 This is a photovoltaic power generation and load power consumption curve in a certain scenario of a distribution network containing controllable resources in an application scenario in an embodiment of the present application.

[0054] Figure 4 It is a feasible domain diagram of the numerical example in the embodiment of the present application.

[0055] Figure 5It is a technical-economic feasible domain diagram of controllable resources of the distribution network at a certain moment of an actual calculation example in the embodiments of the present application.

[0056] Figure 6 This is a diagram of an actual example in an embodiment of the present application in which controllable resources are aggregated and participate in the optimal scheduling of the distribution network to promote the local consumption of new energy. DETAILED DESCRIPTION

[0057] The specific implementation modes of the present invention are described below so that those skilled in the art can understand the present invention. However, it should be clear that the present invention is not limited to the scope of the specific implementation modes. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, these changes are obvious, and all inventions and creations utilizing the concept of the present invention are protected.

[0058] The following is a detailed introduction to a distribution network controllable resource technology-economic feasible domain aggregation method based on the minimum circumscribed circle method proposed in this application. According to an embodiment of the present application, a distribution network controllable resource technology-economic feasible domain aggregation method embodiment based on the minimum circumscribed circle method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that here.

[0059] Figure 1 A flow chart of a method for aggregating controllable resource technology and economically feasible domains in a distribution network according to an embodiment of the present application, which method can be executed by a processing device, such as Figure 1 As shown, the method comprises the following steps:

[0060] S1. Obtain basic operation data of the distribution network;

[0061] S2. Based on the basic operation data, a distribution network controllable resource technology-economic feasible domain aggregation model is constructed that takes into account the controllable resource regulation capability and system operation economic characteristics;

[0062] S3. Solving the distribution network controllable resource technology-economic feasible region aggregation model according to the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible region;

[0063] S4. Optimize the dispatch of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network.

[0064] In step S1 of the embodiment of the present application, the processing device can obtain the distribution network system topology, line parameters, technical characteristics and economic characteristics data of controllable resources, photovoltaic output forecast data and load forecast data according to the current distribution network operation basic data acquisition method.

[0065] The massive, diverse, flexible and adjustable controllable resources have greatly enhanced the regulation capacity of the distribution network, which has played a key supporting role in promoting the local consumption of new energy. Take air conditioning as an example. As the main temperature-controlled flexible resource in the distribution network, its usage status is similar to the changing trend of photovoltaic power generation. In summer, when photovoltaic power generation reaches its peak, the electricity demand for air conditioning is usually high, which makes air conditioning play an important role in promoting the local consumption of new energy. Various types of controllable resources include but are not limited to flexible resources such as temperature-controlled loads mainly based on air conditioning, electric water heaters, electric vehicles and large cold storage.

[0066] In step S2 of the embodiment of the present application, the processing device will take into account the distribution network operation flow constraints, system operation voltage constraints, line current carrying capacity constraints, and controllable resource regulation capacity constraints based on the basic operation data of the distribution network, and construct a distribution network controllable resource controllable resource technical and economic feasible domain aggregation model that takes into account the controllable resource regulation capacity and system operation economic characteristics.

[0067] Specifically, the controllable resource regulation capacity refers to the power consumption P of various controllable resources in the distribution network area at time t. FL,t satisfy:

[0068] P min,FL,t ≤P FL,t ≤P max,FL,t

[0069] Where P min,FL,t , P max,FL,t They respectively represent the lower and upper limits of the power adjustable capabilities of various controllable resources in the distribution network area at time t under the condition of meeting the user-side demand constraints.

[0070] In step S2 of the embodiment of the present application, the constructed distribution network controllable resource technology-economic feasible domain aggregation model is expressed as:

[0071]

[0072] In the formula, Ω PC represents the economic-technical feasible domain, P and C represent the adjustable power and regulation cost of the equal-valued aggregation port, A represents the coefficient matrix, b represents the constant vector, S PC represents the system operation plan, and Φ represents the distribution network operation constraint set.

[0073] Specifically, the constraints in the distribution network operation constraint set include distribution network operation flow constraints, system operation voltage constraints and controllable resource regulation capability constraints.

[0074] Among them, the power flow constraint of the distribution network is:

[0075]

[0076] Where P ij , Q ij is the active power and reactive power transmitted between node i and node j; u = v 2 , represents the square of the node voltage; θ i represents the node voltage phase angle; g ij , b ij is the conductance and susceptance between node i and node j.

[0077] System operating voltage U i The constraints are:

[0078] U min ≤U i ≤U max

[0079] Where U min and U max They are respectively the lower and upper limits allowed for node voltage during the operation of the distribution network.

[0080] The controllable resource adjustment capacity constraints are:

[0081] P min,FL,t ≤P FL,t ≤P max,FL,t

[0082] The technical-economic feasible domain of controllable resources proposed in the embodiment of the present application refers to the technical and economic aggregation feasible range of these resources at the interactive nodes of the distribution area, taking into account the flexibility and adjustability of their adjustment capabilities, under the premise of ensuring that the power demand of users and the safe operation of the distribution network are met. This concept is different from the traditional power feasible domain because it not only considers the aggregation equivalence characteristics of power, but also considers the cost factor. In the process of power grid operation and regulation, the technical-economic feasible domain can provide important decision-making support information for system scheduling, ensuring that while meeting the technical constraints of the system, the economic needs can also be taken into account. This means that when scheduling flexible resources, it is necessary not only to ensure that they can technically achieve the required adjustment effect, but also to ensure that such adjustment has a certain economy and does not lead to excessive costs. Therefore, the technical-economic feasible domain of controllable resources of the distribution network proposed in the embodiment of the present application helps to optimize the operation of the distribution system, improve energy utilization efficiency, while reducing costs and promoting the local consumption of new energy.

[0083] Step S3 of the embodiment of the present application uses the form of the minimum circumscribed circle to calculate the technical-economic feasible domain. By using the tangent characteristics of the geometric circle to asymptotically update the boundary of the feasible domain, the computational complexity is significantly reduced while ensuring the accuracy of the feasible domain, thereby effectively describing the aggregation characteristics of the technical-economic feasible domain of the controllable resources of the distribution network.

[0084] Specifically, step S3 is as follows:

[0085] S31, respectively obtaining the upper and lower limits of the variables P and C in the distribution network controllable resource technology-economic feasible region aggregation model, and then determining the initial controllable resource technology-economic feasible region;

[0086] S32, taking the vertex of the current feasible region as the center of the circle, finding the minimum circumscribed circle of the feasible region;

[0087] S33, using the direction of the intersection of the minimum circumscribed circle and the feasible region to be determined as the normal vector, and the tangent line of the corresponding tangent vector as the newly added boundary, to update the current feasible region;

[0088] S34, repeating steps S32 to S33, gradually updating the current feasible domain until the diameter of its corresponding minimum circumscribed circle is smaller than a given minimum value, and taking the current feasible domain as the final technical-economic feasible domain of controllable resources of the distribution network.

[0089] In step S32 of this embodiment, the formula for obtaining the minimum circumscribed circle of the feasible domain with the vertex of the current feasible domain as the center is specifically:

[0090] min||X PC,out -X PC,in ||2

[0091] stΦ={AX+BY≤d}

[0092] Where, X PC,out represents the vertex of the current feasible region, X PC,in represents the intersection of the minimum circumscribed circle and the feasible domain to be determined, X represents the technical-economic feasible domain variable, Y represents the adjustment variable, d represents the constant vector, A represents the coefficient matrix of variable X, and B represents the coefficient matrix of variable Y.

[0093] Step S33 of this embodiment is specifically as follows:

[0094] S33-1. Calculate the slope of the tangent line at the intersection of the minimum circumscribed circle and the feasible region to be determined;

[0095] The slope k is expressed as:

[0096]

[0097] The tangent line of the minimum circumscribed circle at the opposite diameter point is expressed as:

[0098] l:kX 1,in -X 2,in +b=0

[0099] In the formula, (X 1,out , X 2,out ) represents the vertex coordinates of the current feasible region, (X 1,in , X 2,in ) represents the coordinates of the intersection of the minimum circumscribed circle and the feasible region to be determined;

[0100] S33-2, according to the quadrant where the normal vector is located, determine the tangent line where the corresponding tangent vector is located as the newly added boundary;

[0101] When the normal vector is in the first or second quadrant, a new boundary Ω is added PC,add It is expressed as:

[0102] Ω PC,add ={kX 1,in -X 2,in +b≤0}

[0103] When the normal vector is in the third or fourth quadrant, a new boundary Ω is added PC,add It is expressed as:

[0104] Ω PC,add ={-kX 1,in +X 2,in -b≤0}

[0105] In the formula, b represents the intercept of the slope-intercept form of the line equation.

[0106] Step S4 of the embodiment of the present application is specifically as follows:

[0107] Determine the technical and economic feasible range of the controllable resources of the distribution network based on the determined technical-economic feasible domain of the controllable resources of the distribution network;

[0108] With the goal of maximizing the on-site consumption of new energy in the distribution network, the dispatch plan for the controllable resources of the distribution network is determined, and the controllable resources of the distribution network are dispatched based on the basic operating data of the distribution network.

[0109] In the embodiment of the present application, the technical-economic feasible domain is calculated in the form of the minimum circumscribed circle. By using the tangent characteristics of the geometric circle to asymptotically update the boundary of the feasible domain, the computational complexity is significantly reduced while ensuring the accuracy of the feasible domain characterization, thereby effectively describing the aggregation characteristics of the technical-economic feasible domain of the controllable resources of the distribution network. The distribution network controllable resources technical-economic feasible domain aggregation method not only eliminates the internal variables in the entire system model, but also considers the system operation constraints and costs. By extracting the externally equivalent technical and economic characteristics and providing the superior coordinated optimization with concise and observable boundary information, the number of optimization variables and constraints of the system model is greatly reduced, and the computational complexity is reduced.

[0110] Figure 2 It is a schematic diagram of a distribution network simulation model with controllable resources shown in some embodiments of the present application, including 4 10kV distribution lines, 95 substations, of which 58 substations have distributed photovoltaics, the photovoltaic installed capacity reaches 8624kW, the photovoltaic penetration rate reaches 140%, 7785 air conditioners, each with a maximum cooling power of 0.85kW, and the average indoor temperature can be adjusted in the range of 20℃ to 28℃; 1267 water heaters, each with a maximum heating power of 2.1kW, and the temperature can be adjusted in the range of 80% to 120% of the original set temperature, and 65℃ is the maximum temperature set for the water heater; 485 electric vehicle charging piles, the original charging power of electric vehicles is constant at 6kW, and the charging power of electric vehicles can be adjusted after participating in demand response, and the total charging amount needs to be consistent with the original charging amount; a large cold storage, the temperature can be adjusted in the range of -18℃ to -12℃.

[0111] Figure 3 It is a photovoltaic power generation and load power consumption curve in a certain scenario of a distribution network with controllable resources in an application scenario of this application. When the photovoltaic output is at its peak, the load power consumption fails to fully cover the photovoltaic output, and there is a typical scenario of power return in the distribution network.

[0112] The following is a further explanation of the distribution network controllable resource technology-economic feasible domain aggregation method based on the minimum circumscribed circle method proposed in this application, combined with numerical examples and actual examples:

[0113] In terms of numerical examples, in order to verify the above-mentioned distribution network controllable resource technology-economic feasible region aggregation method based on the minimum circumscribed circle method, the feasible region hyperplane form (Ax≤b) is given as follows:

[0114]

[0115] Figure 4 is a feasible domain diagram of a numerical example shown in some embodiments of the present application. The feasible domain is calculated by the feasible domain solution method proposed in the present application, namely, the minimum circumscribed circle method. Figure 4As shown in the analysis, the minimum circumscribed circle method proposed in the present application effectively depicts the boundary of the feasible domain to be determined, and the degree of approximation reaches 99% of the feasible domain to be determined, which verifies the effectiveness of the minimum circumscribed circle method proposed in the present application.

[0116] In terms of actual examples, a method for aggregating the technical and economic feasible domain of controllable resources in a distribution network based on the minimum circumscribed circle method proposed in this application is further explained in combination with a set of experimental data. In order to verify the above-mentioned method for aggregating the technical and economic feasible domain of controllable resources in a distribution network based on the minimum circumscribed circle method, the actual examples used are as follows. Figure 2 As shown. Figure 3 A typical scenario in which distributed photovoltaic output is fed back is shown, and simulation is performed to verify the effectiveness of the method of the present invention.

[0117] Figure 5 This is a diagram of the technical-economic feasible domain of controllable resources of the distribution network at a certain moment according to the actual calculation examples shown in some embodiments of the present application. The distribution network controllable resource technical-economic feasible domain aggregation method based on the minimum circumscribed circle method is adopted. The feeder is used as a unit to perform 96 time periods of dynamic aggregation feasible domain projection to the root node. The technical-economic feasible domains of different time periods are as follows: Figure 6 Optionally, the operation of the distribution network can be divided into 96 time periods. Figure 6 The technical-economic feasible domain of controllable resources in the distribution network is shown in the 1st, 20th, 50th and 80th periods. It can be seen that the technical-economic feasible domain of controllable resources in the distribution network has time dynamic characteristics. The technical-economic feasible domain for controllable resource aggregation comprehensively considers the spatiotemporal characteristics of distributed photovoltaics and controllable resources and the operating constraints of the distribution system, effectively reflects the feasible range of system aggregation power and cost, and can provide concise and considerable boundary information for controllable resources to promote the local consumption of distributed photovoltaics.

[0118] Figure 6 This is a diagram showing the effect of controlling resources in actual calculation examples according to some embodiments of the present application to participate in the optimization and dispatching of the distribution network after aggregation, so as to promote the local consumption of new energy. Figure 3 In the typical scenario of distributed photovoltaic output being fed back, the four feeders continuously feed back electricity to the next level, changing the power flow direction of the power grid and damaging the economic benefits of power grid operation. The controllable resource technology of the distribution network based on the minimum circumscribed circle method - the economically feasible domain aggregation method is adopted to realize the local consumption of distributed photovoltaic power in the power supply area. Figure 6 As shown. Figure 6(b) It can be seen that feeder 1, feeder 2 and feeder 4 not only meet the local consumption of photovoltaic power within their own feeders in the 47th period, but also fully call on controllable resources to increase the feeder power to 174kW, 78kW and 120kW. Through the mutual assistance between feeders in the distribution network, the photovoltaic return power of feeder 3 is consumed, realizing the complete local consumption of distributed photovoltaic power within the distribution network.

[0119] In the embodiments of the present application, a distribution network controllable resource technology-economically feasible domain aggregation system is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated hereafter. As used below, the term "module" can implement a combination of software and / or hardware for a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0120] Specifically, the system in this embodiment includes:

[0121] A data acquisition module is used to obtain basic operation data of the distribution network;

[0122] A model building module, used to build a distribution network controllable resource technology-economic feasible domain aggregation model taking into account the controllable resource regulation capability and system operation economic characteristics according to the basic operation data;

[0123] A feasible domain calculation module is used to solve the distribution network controllable resource technology-economic feasible domain aggregation model by using the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible domain;

[0124] The resource scheduling module is used to optimize the scheduling of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network and basic operation data.

[0125] Optionally, basic operation data of the distribution network are obtained, including the distribution network system topology, line parameters, technical and economic characteristics of controllable resources, photovoltaic output forecast data and load forecast data.

[0126] In some optional embodiments, the model building module includes:

[0127] The first execution unit is used to construct a distribution network controllable resource technology-economic feasible domain aggregation model considering the controllable resource regulation capability and system operation economic characteristics, including:

[0128] The set of all constraints considered by the technical-economic feasible domain aggregation model of controllable resources in the distribution network is denoted as Φ, including distribution network operation flow constraints, system operation voltage constraints, line current carrying capacity constraints, and controllable resource regulation capacity constraints.

[0129] In some optional implementations, the feasible domain calculation module includes:

[0130] The second execution unit is used to solve the distribution network controllable resource technology-economic feasible region aggregation model according to the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible region, and perform the following steps:

[0131] Based on the distribution network operation model considering the economic characteristics of system operation, the upper and lower limits of variables P and C are obtained respectively, and the maximum initial feasible region Ω is determined accordingly. PC,1 ;

[0132] With the maximum initial domain Ω PC,1 With the vertex as the center, find the minimum circumscribed circle of the technical-economic feasible region of controllable resources;

[0133] The direction of the intersection of the minimum circumscribed circle and the feasible region to be determined is used as the normal vector, and the tangent line of the corresponding tangent vector is used as the newly added boundary Ω PC,add , update the current feasible region Ω PC,2 ;

[0134] The above steps are iterated until the diameter of the required minimum circumscribed circle is less than the given minimum value. At this time, the required current feasible domain Ω PC,n , which is the final feasible domain.

[0135] In some optional implementations, the resource scheduling module includes:

[0136] According to the technical and economic feasible domain of controllable resources in the distribution network and the basic operation data of the distribution network, the controllable resources of the distribution network are optimized and dispatched to promote the local consumption of new energy.

[0137] In this embodiment, a distribution network controllable resource technical and economic feasible domain aggregation device based on the minimum circumscribed circle method is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0138] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0139] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0140] Those skilled in the art will appreciate that the embodiments described herein are intended to help readers understand the principles of the present invention, and should be understood that the protection scope of the present invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific variations and combinations that do not deviate from the essence of the present invention based on the technical revelations disclosed by the present invention, and these variations and combinations are still within the protection scope of the present invention.

Claims

1. A distribution network controllable resource technology-economic feasible domain aggregation method, characterized in that: The following steps are involved: S1. Obtain basic operation data of the distribution network; S2. Based on the basic operation data, a distribution network controllable resource technology-economic feasible domain aggregation model is constructed that takes into account the controllable resource regulation capability and system operation economic characteristics; S3. Solving the distribution network controllable resource technology-economic feasible region aggregation model according to the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible region; S4. Optimize the dispatch of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network.

2. The method for aggregating the controllable resource technology and economic feasibility domain of the distribution network according to claim 1, characterized in that: In the step S1, the basic operation data includes the topological structure of the distribution network system, line parameters, technical characteristics and economic characteristics data of controllable resources, photovoltaic output forecast data and load forecast data.

3. The method for aggregating the controllable resource technology and economically feasible domain of the distribution network according to claim 1, characterized in that: In step S2, the controllable resource regulation capability refers to the power consumption P of various controllable resources in the distribution network area at time t. FL,t satisfy: P min,FL,t ≤P FL,t ≤P max,FL,t Where P min,FL,t , P max,FL,t They respectively represent the lower and upper limits of the power adjustable capabilities of various controllable resources in the distribution network area at time t under the condition of meeting the user-side demand constraints.

4. The method for aggregating the controllable resource technology and economically feasible domain of the distribution network according to claim 1, characterized in that: In step S2, the constructed distribution network controllable resource technology-economic feasible domain aggregation model is expressed as: In the formula, Ω PC represents the economic-technical feasible domain, P and C represent the adjustable power and regulation cost of the equal-valued aggregation port, A represents the coefficient matrix, b represents the constant vector, S PC represents the system operation plan, and Φ represents the distribution network operation constraint set.

5. The method for aggregating the controllable resource technology and economic feasible domain of the distribution network according to claim 4, characterized in that: The constraints in the distribution network operation constraint set include distribution network operation flow constraints, system operation voltage constraints and controllable resource regulation capability constraints.

6. The method for aggregating the controllable resource technology and economically feasible domain of the distribution network according to claim 4, characterized in that: The step S3 is specifically as follows: S31, respectively obtaining the upper and lower limits of the variables P and C in the distribution network controllable resource technology-economic feasible region aggregation model, and then determining the initial controllable resource technology-economic feasible region; S32, taking the vertex of the current feasible region as the center of the circle, finding the minimum circumscribed circle of the feasible region; S33, using the direction of the intersection of the minimum circumscribed circle and the feasible region to be determined as the normal vector, and the tangent line of the corresponding tangent vector as the newly added boundary, to update the current feasible region; S34, repeating steps S32 to S33, gradually updating the current feasible domain until the diameter of its corresponding minimum circumscribed circle is smaller than a given minimum value, and taking the current feasible domain as the final technical-economic feasible domain of controllable resources of the distribution network.

7. The method for aggregating the controllable resource technology and economic feasibility domain of the distribution network according to claim 6, characterized in that: In step S32, the formula for obtaining the minimum circumscribed circle of the feasible domain with the vertex of the current feasible domain as the center is specifically: my||X PC,out -X PC,in ||2 stΦ={AX+BY≤d} Where, X PC,out represents the vertex of the current feasible region, X PC,in represents the intersection of the minimum circumscribed circle and the feasible domain to be determined, X represents the technical-economic feasible domain variable, Y represents the adjustment variable, d represents the constant vector, A represents the coefficient matrix of variable X, and B represents the coefficient matrix of variable Y.

8. The method for aggregating the controllable resource technology and economic feasibility domain of the distribution network according to claim 6, characterized in that: The step S33 is specifically as follows: S33-1. Calculate the slope of the tangent line at the intersection of the minimum circumscribed circle and the feasible region to be determined; The slope k is expressed as: In the formula, (X 1,out , X 2,out ) represents the vertex coordinates of the current feasible region, (X 1,in , X 2,in ) represents the coordinates of the intersection of the minimum circumscribed circle and the feasible region to be determined; S33-2, according to the quadrant where the normal vector is located, determine the tangent line where the corresponding tangent vector is located as the newly added boundary; When the normal vector is in the first or second quadrant, a new boundary Ω is added PC,add It is expressed as: Ω PC,add ={kX 1,in -X 2,in +b≤0} When the normal vector is in the third or fourth quadrant, a new boundary Ω is added PC,add It is expressed as: Ω PC,add ={-kX 1,in +X 2,in -b≤0} In the formula, b represents the intercept of the slope-intercept form of the line equation.

9. The method for aggregating the controllable resource technology and economic feasibility domain of the distribution network according to claim 1, characterized in that: The step S4 is specifically as follows: Determine the technical and economic feasible range of the controllable resources of the distribution network based on the determined technical-economic feasible domain of the controllable resources of the distribution network; With the goal of maximizing the on-site consumption of new energy in the distribution network, the dispatch plan for the controllable resources of the distribution network is determined, and the controllable resources of the distribution network are dispatched based on the basic operating data of the distribution network.

10. A distribution network controllable resource technology-economic feasible domain aggregation system, characterized in that: include: A data acquisition module is used to obtain basic operation data of the distribution network; A model building module, used to build a distribution network controllable resource technology-economic feasible domain aggregation model taking into account the controllable resource regulation capability and system operation economic characteristics according to the basic operation data; A feasible domain calculation module is used to solve the distribution network controllable resource technology-economic feasible domain aggregation model by using the minimum circumscribed circle method to obtain the distribution network controllable resource technology-economic feasible domain; The resource scheduling module is used to optimize the scheduling of controllable resources of the distribution network according to the technical-economic feasible domain of controllable resources of the distribution network and basic operation data.

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