Voltage optimization control method and system for interactive game of power distribution network containing multiple interest subjects

Abstract

The invention relates to the technical field of power distribution network voltage optimization control, in particular to a multi-benefit subject-containing power distribution network interactive game voltage optimization control method and system, and the method comprises the steps: building a voltage optimization control model and a photovoltaic benefit subject voltage optimization control model according to different benefit subjects, and carrying out the voltage optimization control according to a multi-benefit subject voltage adjustment process; interaction and coordination among multiple interest subjects are realized, and a power distribution network interaction game voltage optimization control method is formulated; a voltage control model in each benefit subject of the power distribution network is constructed based on multi-benefit subject division, in the optimization stage, through parallel independent optimization of voltage control in each benefit subject, the optimization calculation time can be greatly shortened, the calculation performance of the proposed algorithm is improved, a multi-benefit subject interactive game model based on a non-cooperative game is constructed, and the calculation efficiency is improved. The competitive game relationship of the multi-benefit subject in the voltage control process is described, and the coordination of multiple voltage regulation devices in the power distribution network is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network voltage optimization control, and in particular to a distribution network interactive game voltage optimization control method and system involving multiple stakeholders. Background Art

[0002] my country has vigorously developed renewable energy sources such as photovoltaics and wind power. However, with the disorderly grid connection of large-scale distributed power sources, a series of problems such as overvoltage, reverse power flow, and line overload have occurred in the distribution network. Among them, the overvoltage problem is particularly prominent, which seriously restricts the access and consumption of large-scale distributed power sources. With the access of large-scale distributed photovoltaics to the distribution network, hardware foundations such as wide-area measurement systems have been continuously established, providing an important hardware foundation for smart inverters to participate in the voltage regulation of the distribution network. In actual projects, the voltage regulation of the distribution network is a process of coordinated control of multiple auxiliary voltage regulation equipment. In addition to photovoltaic inverters, other voltage regulation equipment in the distribution network mainly includes on-load tap changers (OLTCs) and reactive power regulation devices such as capacitor banks and reactors. However, large-scale distributed photovoltaics are installed on the user side and are controlled by photovoltaic operators (photovoltaic stakeholders) under the conditions of meeting relevant photovoltaic operation standards and requirements (such as power factor and access point voltage requirements). Power companies have no right to directly adjust photovoltaic inverters. In this context, how to design a distributed voltage optimization control method for distribution networks with multiple stakeholders is particularly important for solving the overvoltage problem of distribution networks.

[0003] When multiple stakeholders in the distribution network participate in voltage regulation, each stakeholder should determine their own strategy for participating in voltage regulation based on various factors such as the voltage level in their respective regions, their own regulation capabilities, and regulation benefits. However, most traditional voltage optimization control methods are centralized control methods, and the voltage control model is complex and difficult to solve. In addition, the implementation premise of existing voltage control methods is based on the premise that the network topology of the distribution network does not change. However, when large-scale distributed power sources are connected, the network topology of the distribution network will change with its operating state, and the "region" or "cluster" boundary of the distribution network will also change accordingly. At this time, the application of existing voltage optimization control has certain limitations. In addition, the implementation of existing voltage optimization control is based on maximizing the interests of power companies. Especially when it involves coordination and interaction between multiple regions, the subjective willingness to participate of each regulation subject is not fully considered, and there is a lack of fairness and interactivity. Therefore, how to comprehensively utilize multiple voltage regulation measures in the distribution network under the condition of changing distribution network topology and establish a fair and reasonable voltage regulation strategy still needs to be further solved.

[0004] In summary, an interactive game voltage optimization control method for distribution networks with multiple stakeholders, a voltage optimization control model for power company stakeholders with network topology changes, and a distribution network multi-stakeholder interactive optimization model based on non-cooperative game are proposed. Through the distributed optimization of multiple stakeholders in the distribution network, the problems of multiple variable dimensions in traditional centralized optimization control methods, the failure of voltage control strategies due to network topology changes, and the low subjective willingness of stakeholders to participate in the voltage control process, as well as the lack of fairness and interactivity, are solved. Summary of the invention

[0005] In view of the above problems existing in the prior art, the present invention is proposed.

[0006] Therefore, the technical problem to be solved by the present invention is: through distributed optimization and non-cooperative game models, the problems of traditional centralized control methods such as large number of variable dimensions, difficulty in solving, and failure of voltage control strategy due to changes in network topology are solved; by introducing an interactive coordination model of multiple stakeholders, the collaborative optimization of multiple voltage regulating devices is achieved.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions, including a distribution network interactive game voltage optimization control method with multiple stakeholders, comprising: establishing a voltage optimization control model and a photovoltaic stakeholder voltage optimization control model according to different stakeholders; realizing interactive coordination among multiple stakeholders according to the voltage regulation process of multiple stakeholders; and formulating a distribution network interactive game voltage optimization control method.

[0008] As a preferred solution of the interactive game voltage optimization control method for distribution network with multiple stakeholders described in the present invention, wherein: the voltage optimization control model includes the voltage optimization control objective function of the power company stakeholders and the voltage optimization control model constraints of the power company stakeholders;

[0009] Among them, the voltage optimization control objective function of the power company's stakeholders is expressed as:

[0010]

[0011] Among them, F grid represents the voltage optimization control objective function of the power company’s stakeholders, R k represents the OLTC single action cost, k represents the OLTC tap position, k pre represents the tap position of OLTC at the last moment, χ represents the set of all nodes in the distribution network, R s represents the cost of a single action of the tie switch, S ij Represents the breaking state variable of branch ij, Represents the open state variable of branch ij at the previous moment.

[0012] As a preferred solution of the interactive game voltage optimization control method for distribution network with multiple stakeholders described in the present invention, wherein: the constraints of the voltage optimization control model of the power company stakeholders include power flow equation constraints, network radiation structure constraints, voltage constraints and OLTC operation constraints;

[0013] The power flow equation constraint is expressed as:

[0014]

[0015] Among them, Γ(i) represents the set of nodes connected to node i, represents the injected active power of the root node in the network, represents the injected reactive power of the root node in the network, represents the optimal photovoltaic output value of node j, represents the reactive power regulation value of the PV inverter at node j, represents the load active power demand of node j, represents the reactive power demand of node j, P ij Indicates the active power transmitted on the line, Q ij Indicates the reactive power transmitted on the line, u i represents the voltage at node i, u j represents the voltage at node j, G ij represents the conductance between nodes, B ij represents the susceptance between nodes, θ ij Represents the phase angle difference between nodes;

[0016] The network radial structure constraint is expressed as:

[0017]

[0018] Among them, τ ij and τ ji Indicates the flow direction of the line. When the line flow flows from node j to node i, τ ij =1, when the line flow flows from node to node, τ ji =1, the first row indicates the bidirectionality of the line flow direction, the second row indicates that all nodes except the network root node have a parent node, and the third row indicates that the root node has no parent node;

[0019] When the line power flow from node j flows to node i, τ ij =1;

[0020] The voltage constraint is expressed as:

[0021]

[0022] Among them, u minIndicates the lower limit of the node voltage safe operating range, u max Indicates the upper limit of the node voltage safe operating range;

[0023] The OLTC operation constraints are expressed as:

[0024]

[0025] Among them, u L Indicates the voltage amplitude on the low voltage side of OLTC, u H Indicates the voltage amplitude on the high-voltage side of OLTC, k min Indicates the minimum value of OLTC gear, k max Indicates the maximum value of the OLTC gear;

[0026] The voltage optimization control model is expressed as a mixed integer nonlinear optimization problem, and the voltage optimization control model is linearized.

[0027] As a preferred solution of the interactive game voltage optimization control method for distribution network with multiple stakeholders described in the present invention, the linearized voltage optimization control model is expressed as:

[0028]

[0029] Among them, U i represents the square of the voltage amplitude at node i, U j represents the square of the voltage amplitude at node j, W ij and V ij represents the auxiliary variable of the second-order cone transformation, Represents the node voltage variable U i The branch voltage variable associated with the corresponding branch ij, Represents the node voltage variable U j The branch voltage variable associated with the corresponding branch ij;

[0030] When the branch is disconnected, When the branch is connected,

[0031] As a preferred solution of the interactive game voltage optimization control method for a distribution network with multiple stakeholders described in the present invention, wherein: the photovoltaic stakeholder voltage optimization control model includes a photovoltaic stakeholder voltage optimization control objective function and operation constraints;

[0032] The photovoltaic interest subject voltage optimization control objective function is expressed as:

[0033]

[0034] Among them, F q Represents photovoltaic interest subjectq The voltage optimization control objective function within R PV,P represents the cost factor of abandoned light, Represents Π q The optimized photovoltaic output value at the inner j point, Represents Π q The actual photovoltaic output value at point j, R PV,Q Indicates the inverter reactive power regulation cost coefficient, Represents Π q Reactive power regulation value of photovoltaic inverter at inner point j;

[0035] The operation constraints are expressed as:

[0036]

[0037] k=k *

[0038]

[0039] in, Represents the apparent capacity of the photovoltaic inverter, θ min Indicates the minimum power factor angle of the inverter, k * Indicates the OLTC tap position, Represents the starting state variable of branch ij.

[0040] As a preferred solution of the distribution network interactive game voltage optimization control method with multiple stakeholders described in the present invention, the interactive coordination among the multiple stakeholders is realized by using a multi-stakeholder interactive coordination model, which is expressed as:

[0041]

[0042] …

[0043]

[0044] Among them, D grid represents the strategy set, F q (D q ,D grid ), F grid (D q ,D grid ) represents the operating cost function, D grid It represents the optimal strategy of one's own side when the other side chooses the optimal strategy.

[0045] As a preferred solution of the distribution network interactive game voltage optimization control method involving multiple stakeholders described in the present invention, the distribution network interactive game voltage optimization control method is expressed as:

[0046]

[0047] in, Represents the predicted value of the optimized photovoltaic output value, F grid_0 It indicates that the voltage control cost of each stakeholder is calculated based on the equipment regulation amount;

[0048] The voltage optimization control model is used to solve the problem, obtain the optimization results of the stakeholders, and transmit the optimization results of the stakeholders to the multi-stakeholder interactive coordination model. When Δ≤ the convergence value of the given algorithm When , stop the iteration and return the optimal solution. If Δ> the convergence value of the given algorithm When, then order:

[0049]

[0050] Until convergence.

[0051] Another object of the present invention is to provide a distribution network interactive game voltage optimization control system with multiple stakeholders, which provides guidance for engineering practice by describing in detail the voltage optimization control model of the power company stakeholders and the photovoltaic stakeholders, as well as the non-cooperative game model of interactive coordination of multiple stakeholders, and helps develop and implement an optimization control system that can adapt to changes in network topology and make full use of a variety of voltage regulation equipment. Through interactive game mode, coordination and optimization among multiple subjects are achieved, thereby solving various challenges in voltage regulation of distribution networks.

[0052] In order to solve the above technical problems, the present invention provides the following technical solutions: a distribution network interactive game voltage optimization control system with multiple stakeholders, comprising: a voltage optimization module, an interactive coordination module, and a game control module;

[0053] The voltage optimization module establishes a voltage optimization control model and a photovoltaic interest subject voltage optimization control model according to different interest subjects;

[0054] The interactive coordination module realizes interactive coordination among multiple stakeholders according to the voltage regulation process of multiple stakeholders;

[0055] The game control module formulates a distribution network interactive game voltage optimization control method.

[0056] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the interactive game voltage optimization control method for a distribution network involving multiple stakeholders as described above are implemented.

[0057] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the interactive game voltage optimization control method for a distribution network involving multiple stakeholders as described above are implemented.

[0058] The beneficial effects of the present invention are as follows: based on the division of multiple stakeholders, a voltage control model within each stakeholder of the distribution network is constructed. In the optimization stage, the parallel and independent optimization of the voltage control within each stakeholder can greatly shorten the optimization calculation time and improve the computing performance of the proposed algorithm. A multi-stakeholder interactive game model based on non-cooperative game is constructed, which depicts the competitive game relationship of multiple stakeholders in the voltage control process and realizes the coordinated cooperation of multiple voltage regulating devices in the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0060] Figure 1 A flow chart of a distribution network interactive game voltage optimization control method involving multiple stakeholders provided by an embodiment of the present invention.

[0061] Figure 2 A topological structure diagram of an actual 69-node distribution network of a distribution network interactive game voltage optimization control method involving multiple stakeholders provided by an embodiment of the present invention.

[0062] Figure 3 A comparison diagram of voltage control results under three methods of a distribution network interactive game voltage optimization control method involving multiple stakeholders provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0063] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0064] Example 1, reference Figure 1 , is an embodiment of the present invention, which provides a distribution network interactive game voltage optimization control method involving multiple stakeholders, including:

[0065] S1: Establish voltage optimization control model and photovoltaic interest subject voltage optimization control model according to different interest subjects.

[0066] It should be noted that the interest subject of the power company (denoted as Π grid ) mainly relies on adjusting OLTC, network reconstruction and other methods to achieve distribution network voltage regulation. Its regulation cost mainly includes the regulation fee of OLTC and tie switch. The voltage optimization control model includes the voltage optimization control objective function of the power company's stakeholders and the constraints of the voltage optimization control model of the power company's stakeholders.

[0067] Among them, the voltage optimization control objective function of the power company's stakeholders is expressed as:

[0068]

[0069] Among them, F grid represents the voltage optimization control objective function of the power company’s stakeholders, R k represents the OLTC single action cost, k represents the OLTC tap position, k pre represents the tap position of OLTC at the last moment, χ represents the set of all nodes in the distribution network, R s represents the cost of a single action of the tie switch, S ij Represents the breaking state variable of branch ij, Indicates the breaking state variable of branch ij at the previous moment;

[0070] The photovoltaic interest subject voltage optimization control model includes the photovoltaic interest subject voltage optimization control objective function and operation constraints;

[0071] The photovoltaic interest entity mainly relies on adjusting the photovoltaic inverter to control its active and reactive output. Its adjustment cost mainly includes the loss cost of active power shearing and the inverter loss cost of adjusting reactive power. The voltage optimization control objective function of the photovoltaic interest entity is expressed as:

[0072]

[0073] Among them, F q Represents photovoltaic interest subject Π q The voltage optimization control objective function within R PV,P represents the cost factor of abandoned light, Represents Π q The optimized photovoltaic output value at the inner j point, Represents Π q The actual photovoltaic output value at point j, R PV,Q Indicates the inverter reactive power regulation cost coefficient, Represents Π q Reactive power regulation value of the photovoltaic inverter at point j.

[0074] Furthermore, the constraints of the voltage optimization control model of the power company stakeholders include power flow equation constraints, network radiation structure constraints, voltage constraints, and OLTC operation constraints;

[0075] The power flow equation constraint is expressed as:

[0076]

[0077] Among them, Γ(i) represents the set of nodes connected to node i, represents the injected active power of the root node in the network, represents the injected reactive power of the root node in the network, represents the optimal photovoltaic output value of node j, Represents the reactive power regulation value of the photovoltaic inverter at node j, and is a fixed value, which is optimized by the photovoltaic interest subject. represents the load active power demand of node j, represents the reactive power demand of node j, P ij Indicates the active power transmitted on the line, Q ij Indicates the reactive power transmitted on the line, u i represents the voltage at node i, u j represents the voltage at node j, G ij represents the conductance between nodes, B ij represents the susceptance between nodes, θ ij Represents the phase angle difference between nodes;

[0078] The network radial structure constraint is expressed as:

[0079]

[0080] Among them, τ ij and τ ij is a Boolean variable, indicating the flow direction in the line, τ 1j Represents a Boolean variable, τ ij When the line flow flows from node j to node i, τ ij =1, when the line flow flows from node to node, τ ji =1, the first row indicates the bidirectionality of the line flow direction, the second row indicates that all nodes except the network root node have a parent node, and the third row indicates that the root node has no parent node;

[0081] When the line power flow from node j flows to node i, τ ij =1;

[0082] The voltage constraint is expressed as:

[0083]

[0084] Among them, u min Indicates the lower limit of the node voltage safe operating range, u max Indicates the upper limit of the node voltage safe operating range;

[0085] The OLTC operation constraints are expressed as:

[0086]

[0087] Among them, u L Indicates the voltage amplitude on the low voltage side of OLTC, u H Indicates the voltage amplitude on the high-voltage side of OLTC, k min Indicates the minimum value of OLTC gear, k max Indicates the maximum value of the OLTC gear;

[0088] The operation constraints of the photovoltaic interest subject voltage optimization control model are expressed as:

[0089]

[0090]

[0091] k=k *

[0092]

[0093] in, Represents the apparent capacity of the photovoltaic inverter, θ min Indicates the minimum power factor angle of the inverter, k * Indicates the OLTC tap position, represents the initial state variable of branch ij, k * , Optimized by the interests of the power company.

[0094] Furthermore, the voltage optimization control model is expressed as a mixed integer nonlinear optimization problem, and the linearized voltage optimization control model is expressed as:

[0095]

[0096] The last term of the above equation can be converted into a standard second-order cone form by second-order cone relaxation:

[0097]

[0098] For the existence of S ij With P ij The multiplication of nonlinear terms introduces the “branch voltage” method for linearization:

[0099]

[0100]

[0101] Among them, U i represents the square of the voltage amplitude at node i, U j represents the square of the voltage amplitude at node j, W ij and V ij represents the auxiliary variable of the second-order cone transformation, Represents the node voltage variable U i The branch voltage variable associated with the corresponding branch ij, Represents the node voltage variable U j The branch voltage variable associated with the corresponding branch ij;

[0102] When the branch is disconnected, When the branch is connected,

[0103] S2: Based on the multi-stakeholder voltage regulation process, interactive coordination among multiple stakeholders is achieved.

[0104] It should be noted that the interaction and coordination among multiple stakeholders is realized by using the multi-stakeholder interaction and coordination model, which is expressed as:

[0105]

[0106] For a strategic game, if the strategy space is a non-empty compact convex set in Euclidean space, and its payoff function is continuous quasi-concave, then the game has a pure strategy Nash equilibrium. In the model, the strategy space of the game is a non-empty compact convex set, and the payoff function is continuous quasi-concave. According to the definition of equilibrium, the following formula exists:

[0107]

[0108] …

[0109]

[0110] Among them, D grid represents the strategy set, F q (D q ,D grid ), F grid (D q ,D grid ) represents the running cost function, where q = 1, 2, ..., C, D grid It represents the optimal strategy of one's own side when the other side chooses the optimal strategy.

[0111] S3: Develop an interactive game voltage optimization control method for distribution networks.

[0112] It should be noted that the distribution network interactive game voltage optimization control method is expressed as:

[0113] Initialize and assign values ​​to the voltage regulating devices in each stakeholder;

[0114]

[0115] in, It represents the predicted value of the optimized output value of the photovoltaic power station;

[0116] The voltage control cost of each stakeholder is calculated based on the equipment regulation amount and is expressed as: F grid_0 , using the voltage optimization control model to solve and obtain the optimization results of the stakeholders F grid_0 , k、s ij ((i,j)∈χ),F q (q=1,2,……,C),F grid , and deliver the optimization results of stakeholders to the multi-stakeholder interaction and coordination model;

[0117] In the multi-stakeholder interactive coordination model, the convergence threshold of the given algorithm is make:

[0118]

[0119] When Δ≤ the convergence value of the given algorithm When , stop the iteration and return the optimal solution. If Δ> the convergence value of the given algorithm When, then order:

[0120]

[0121] Repeat the steps until convergence.

[0122] The above is a schematic scheme of the distribution network interactive game voltage optimization control method with multiple stakeholders in this embodiment. It should be noted that the technical scheme of the system of the distribution network interactive game voltage optimization control method with multiple stakeholders and the technical scheme of the distribution network interactive game voltage optimization control method with multiple stakeholders mentioned above belong to the same conception. The details of the technical scheme of the distribution network interactive game voltage optimization control system with multiple stakeholders in this embodiment that are not described in detail can all be referred to the description of the technical scheme of the distribution network interactive game voltage optimization control method with multiple stakeholders mentioned above.

[0123] The distribution network interactive game voltage optimization control system with multiple stakeholders in this embodiment is characterized by comprising: a voltage optimization module, an interactive coordination module, and a game control module;

[0124] The voltage optimization module establishes a voltage optimization control model and a photovoltaic interest subject voltage optimization control model according to different interest subjects;

[0125] The interactive coordination module realizes interactive coordination among multiple stakeholders according to the voltage regulation process of multiple stakeholders;

[0126] The game control module formulates a distribution network interactive game voltage optimization control method.

[0127] This embodiment further provides a computing device, which is applicable to the case of a distribution network interactive game voltage optimization control method involving multiple stakeholders, including:

[0128] Memory and processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement the distribution network interactive game voltage optimization control method involving multiple stakeholders as proposed in the above embodiment.

[0129] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, the distribution network interactive game voltage optimization control method involving multiple stakeholders as proposed in the above embodiment is implemented.

[0130] The storage medium proposed in this embodiment and the distribution network interactive game voltage optimization control method involving multiple stakeholders proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0131] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0132] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0133] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0134] Example 2, reference Figure 2-Figure 3 , which is an embodiment of the present invention, provides a distribution network interactive game voltage optimization control method involving multiple stakeholders. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0135] The present invention uses an actual 10kV feeder in China as the analysis object to verify the effectiveness of the method proposed in the present invention. The topological structure of the 10kV feeder is as follows: Figure 2 As shown in the figure, it contains 69 nodes in total. It is a radial three-phase balanced system with a total load of 22.43MW. The OLTC in the feeder is installed in the first section of the line. The installation positions of the section switches and tie switches are as follows: Figure 2 shown.

[0136] Figure 2 In the figure, PV represents photovoltaic inverter, OLTC represents operation constraint, and Grid represents stakeholder.

[0137] The total amount of photovoltaic access in the feeder is 10.47MW, all of which are distributed photovoltaics and are controlled by photovoltaic operators. The installation location and installation capacity of each photovoltaic are shown in Table 1. The present invention uses OpenDSS software to build a model for the feeder, and uses MATLAB to call OpenDSS for simulation analysis. In the experiment, the power factor allowed for the photovoltaic inverter to operate is (-0.95, 0.95).

[0138] Table 1 Photovoltaic installation location and installation capacity

[0139]

[0140] In order to analyze the superiority of the method of the present invention in the voltage control of the distribution network, the traditional centralized control method and the partition control method are selected for comparison. Among them, the traditional centralized control method regards all nodes in the distribution network as a stakeholder, and then uses the subsequent voltage control method of the present invention to adjust the voltage. The optimization of each switch in the distribution network under the three voltage control methods is shown in Table 2.

[0141] Table 2 Comparison of switch optimization results

[0142]

[0143] From the comparison in the above table, it can be seen that the optimization results of the power company's stakeholders under the centralized control method are exactly the same as those of the present invention, indicating that the method of the present invention can achieve the same optimization results as the centralized control in optimizing OLTC and line switches. Under the partition control method, neither the OLTC nor the line switch operates. This is because the partition control method mainly relies on the photovoltaic inverter in the partition to adjust the voltage on-site, and does not consider the network reconstruction and the coordination of multiple voltage regulation equipment in the distribution network. Therefore, neither the OLTC nor the line switch operates. Under the above three methods, the total reactive power regulation amount Q of the photovoltaic inverter in the distribution network PV , total active power regulation P PV 、Total photovoltaic regulation cost F PV , the total cost of regulation of the power company F grid And their respective optimization time T opt As shown in Table 3.

[0144] Table 3 Comparison of optimization results under three methods

[0145] Control Methods <![CDATA[Q PV / kVar]]> <![CDATA[P PV / kW]]> <![CDATA[F PV / ￥]]> <![CDATA[F grid / ￥]]> <![CDATA[T opt / s]]> Centralized control 3051.4 788.6 1004.6 500 364.1 Partition control 3147.2 1063.5 1161.2 0 24.2 Method of the present invention 2972.2 814.3 1001.6 500 63.6

[0146] As can be seen from Table 3, for the reactive power regulation of photovoltaic inverters, the total reactive power regulation of photovoltaic inverters under the partition control regulation is the highest, and the total reactive power regulation of photovoltaic inverters under the method of the present invention is the least, that is, the partition control can maximize the use of the reactive power of photovoltaic inverters. For photovoltaic active shear, the total photovoltaic active shear is the highest under the partition control, and the total photovoltaic active shear is the least under the centralized control, that is, the centralized control can guarantee the maximum photovoltaic consumption. In terms of optimization time, the partition control optimization time is the shortest, and the centralized control optimization time is the longest, that is, the partition control has the best performance in terms of calculation rate. Figure 3 The voltage distribution of distribution network under three different control methods is given.

[0147] Combination Figure 3 Further analysis with Table 3 shows that: the partition control is superior to the method of the present invention in terms of reactive power utilization and optimization calculation performance of photovoltaic inverters, but since the partition control can only rely on photovoltaic inverter regulation, it is impossible to achieve the coordination of multiple voltage regulating devices in the distribution network, so it is impossible to adjust the voltage of the distribution network to a safe operating range. The method of the present invention can achieve the coordination of multiple voltage regulating devices in the distribution network through interactive game between photovoltaic interest subjects and power company interest subjects, and further adjust the voltage of the distribution network to a safe operating range; centralized control is superior to the method of the present invention in terms of reactive power regulation, active power shearing and photovoltaic regulation cost of photovoltaic inverters, but from the result data, the total reactive power regulation, total active power regulation and total regulation cost of photovoltaic inverters of the two methods are not much different, and are basically the same. However, it should be noted that the optimization time of the method of the present invention is 63.6s, and the optimization time of the centralized control method is 364.1s. Under the same optimization effect, the optimization speed of the method of the present invention is faster, and its optimization calculation performance is much higher than that of centralized control. Therefore, based on the above analysis, it can be seen that the method of the present invention is more suitable for the voltage control of large-scale distributed photovoltaic access to the distribution network in the future.

[0148] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A distribution network interactive game voltage optimization control method involving multiple stakeholders, characterized by: include: Establish voltage optimization control model and photovoltaic interest subject voltage optimization control model according to different interest subjects; According to the multi-stakeholder voltage regulation process, interactive coordination among multiple stakeholders is achieved; Develop an interactive game voltage optimization control method for distribution networks.

2. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 1 is characterized by: The voltage optimization control model includes a voltage optimization control objective function of the power company's stakeholders and a voltage optimization control model constraint of the power company's stakeholders; Among them, the voltage optimization control objective function of the power company's stakeholders is expressed as: Among them, F grid represents the voltage optimization control objective function of the power company’s stakeholders, R k represents the OLTC single action cost, k represents the OLTC tap position, k pre represents the tap position of OLTC at the last moment, χ represents the set of all nodes in the distribution network, R s represents the cost of a single action of the tie switch, S ij Represents the breaking state variable of branch ij, Represents the open state variable of branch ij at the previous moment.

3. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 2 is characterized by: The constraints of the voltage optimization control model of the power company's stakeholders include power flow equation constraints, network radiation structure constraints, voltage constraints and OLTC operation constraints; The power flow equation constraint is expressed as: Among them, Γ(i) represents the set of nodes connected to node i, represents the injected active power of the root node in the network, represents the injected reactive power of the root node in the network, represents the optimal photovoltaic output value of node j, represents the reactive power regulation value of the PV inverter at node j, represents the load active power demand of node j, represents the reactive power demand of node j, P ij Indicates the active power transmitted on the line, Q ij Indicates the reactive power transmitted on the line, u i represents the voltage at node i, u j represents the voltage at node j, G ij represents the conductance between nodes, B ij represents the susceptance between nodes, θ ij Represents the phase angle difference between nodes; The network radial structure constraint is expressed as: Among them, τ ij and τ ji Indicates the flow direction in the line, τ 1j Represents a Boolean variable, τ ij When the line power flows from node j to node i, τ ij =1, when the line flow flows from node to node, τ ji =1, the first row indicates the bidirectionality of the line flow direction, the second row indicates that all nodes except the network root node have a parent node, and the third row indicates that the root node has no parent node; When the line power flow from node j flows to node i, τ ij =1; The voltage constraint is expressed as: Among them, u min Indicates the lower limit of the node voltage safe operating range, u max Indicates the upper limit of the node voltage safe operating range; The OLTC operation constraints are expressed as: Among them, u L Indicates the voltage amplitude on the low voltage side of OLTC, u H Indicates the voltage amplitude on the high-voltage side of OLTC, k min Indicates the minimum value of OLTC gear, k max Indicates the maximum value of the OLTC gear; The voltage optimization control model is expressed as a mixed integer nonlinear optimization problem, and the voltage optimization control model is linearized.

4. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 3 is characterized by: The linearized voltage optimization control model is expressed as: Among them, U i represents the square of the voltage amplitude at node i, U j represents the square of the voltage amplitude at node j, W ij and V ij represents the auxiliary variable of the second-order cone transformation, Represents the node voltage variable U i The branch voltage variable associated with the corresponding branch ij, Represents the node voltage variable U j The branch voltage variable associated with the corresponding branch ij; When the branch is disconnected, When the branch is connected, 5. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 4 is characterized by: The photovoltaic interest subject voltage optimization control model includes a photovoltaic interest subject voltage optimization control objective function and operation constraints; The photovoltaic interest subject voltage optimization control objective function is expressed as: Among them, F q Represents photovoltaic interest subject Π q The voltage optimization control objective function within R PV,P represents the cost factor of abandoned light, Represents Π q The optimized photovoltaic output value at the inner j point, Represents Π q The actual photovoltaic output value at point j, R PV,Q Indicates the inverter reactive power regulation cost coefficient, Represents Π q Reactive power regulation value of photovoltaic inverter at point j; The operation constraints are expressed as: k=k * in, Represents the apparent capacity of the photovoltaic inverter, θ min Indicates the minimum power factor angle of the inverter, k * Indicates the OLTC tap position, Represents the starting state variable of branch ij.

6. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 5, characterized in that: The interaction and coordination among multiple stakeholders is achieved by using a multi-stakeholder interaction and coordination model, which is expressed as: Among them, D grid represents the strategy set, F q (D q ,D grid ), F grid (D q ,D grid ) represents the running cost function, D grid It represents the optimal strategy of one's own side when the other side chooses the optimal strategy.

7. The distribution network interactive game voltage optimization control method involving multiple stakeholders as claimed in claim 6 is characterized by: The distribution network interactive game voltage optimization control method is expressed as: in, Represents the predicted value of the optimized photovoltaic output value, F grid_0 It indicates that the voltage control cost of each stakeholder is calculated based on the equipment regulation amount; The voltage optimization control model is used to solve the problem, obtain the optimization results of the stakeholders, and transmit the optimization results of the stakeholders to the multi-stakeholder interactive coordination model. When Δ≤ the convergence value of the given algorithm When , stop the iteration and return the optimal solution. If Δ> the convergence value of the given algorithm When, then order: Until convergence.

8. A system based on the distribution network interactive game voltage optimization control method involving multiple stakeholders as described in any one of claims 1 to 7, characterized in that: include: Voltage optimization module, interactive coordination module, game control module; The voltage optimization module establishes a voltage optimization control model and a photovoltaic interest subject voltage optimization control model according to different interest subjects; The interactive coordination module realizes interactive coordination among multiple stakeholders according to the voltage regulation process of multiple stakeholders; The game control module formulates a distribution network interactive game voltage optimization control method.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the distribution network interactive game voltage optimization control method involving multiple stakeholders described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the distribution network interactive game voltage optimization control method involving multiple stakeholders described in any one of claims 1 to 7 are implemented.

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