Static var compensator configuration and voltage regulation and control method suitable for power distribution network

Abstract

The invention discloses a static var compensator configuration and voltage regulation and control method suitable for a power distribution network, and belongs to the technical field of power system power distribution network optimization operation. The method comprises the steps that according to the position, capacity and operation layer parameters of a static var compensator, operation layer optimization operation calculation is carried out with the economy and voltage quality of the power distribution network as targets, a global optimal solution in each typical scene is obtained, and the annual operation comprehensive cost of the power distribution network is fed back to a configuration layer; performing configuration operation optimization calculation by combining the configuration layer parameters and the annual investment and maintenance cost of the static var compensator to obtain the position and the capacity of the updated static var compensator; judging whether the result converges or not, if not, transmitting the updated static var compensator configuration scheme to the operation layer, and returning to execute the optimization operation calculation of the operation layer; and if yes, outputting an optimization result. According to the method, dual optimization of economy and voltage quality is realized, and the voltage deviation is effectively controlled while the operation economy of the power distribution network is ensured.

Description

Technical Field

[0001] This invention belongs to the field of power system distribution network optimization operation technology, specifically relating to a static var compensator configuration and voltage regulation method suitable for distribution networks. Background Technology

[0002] As electricity demand increases, the power supply radius of distribution lines gradually expands, leading to problems such as low voltage and increased network losses at the end of the lines. Furthermore, the increasing penetration rate of intermittent distributed renewable energy in distribution networks, coupled with the volatility and uncertainty of renewable energy output, further amplifies voltage fluctuations and increases the risk of voltage exceeding limits. Configuring reactive power compensation equipment in distribution networks can effectively address voltage fluctuations and limit-exceeding issues, playing a crucial role in improving the power factor, reducing network losses, and stabilizing network node voltages. Therefore, optimizing the configuration of reactive power compensation equipment in distribution networks, especially active distribution networks with renewable energy integration, is essential.

[0003] Reactive power compensation equipment in distribution networks includes static var compensators (SVCs), synchronous condensers (SCDCs), and other similar devices. The operating characteristics of each device vary significantly, and their differences must be considered during configuration. Currently, methods for optimizing the configuration of SVCs in distribution networks have the following shortcomings: In terms of economics, they primarily consider the investment and maintenance costs of the SVCs themselves and the network loss costs during operation, without considering the comprehensive economic benefits brought about by the coordinated and optimized operation of SVCs with distributed power sources, energy storage, and other adjustable resources in the distribution network; in terms of operational optimization, they either use voltage safety as a constraint or convert the voltage optimization objective into a single objective through a weighted summation of other objectives, failing to guarantee high voltage quality after configuring SVCs. Summary of the Invention

[0004] This invention addresses the shortcomings of existing technologies by providing a method for configuring and regulating static var compensators (SVCs) in power distribution networks. The method comprehensively considers the investment and maintenance costs of SVCs and the overall cost of coordinated operation between SVCs and distributed adjustable devices in the power distribution network during optimized configuration. It also considers voltage optimization targets, thereby achieving economical configuration of SVCs and economical operation of the power distribution network, while improving voltage quality.

[0005] This invention provides the following technical solution:

[0006] Firstly, a method for configuring static var compensators and regulating voltage in power distribution networks is provided, including: Step 1: Construct a two-layer optimization model including a configuration layer and a runtime layer, and obtain the configuration layer parameters and runtime layer parameters; Step 2: Use the configuration layer to randomly generate initial values ​​for the location and capacity of the static var compensator and pass them to the operation layer; Step 3: Based on the location, capacity, and operation layer parameters of the static var compensator, perform dual-objective optimization operation calculations on the distribution network economy and voltage quality under various typical scenarios using the operation layer optimization model. Obtain the solution set of dual-objective optimization operation schemes under each typical scenario, and select the global optimal solution under each typical scenario. Step 4: Calculate the annual comprehensive operating cost of the distribution network under the global optimal solution and feed it back to the configuration layer; Step 5: Based on the annual comprehensive operating cost fed back from the operation layer and the parameters of the configuration layer, combined with the annual investment and maintenance cost of the static var compensator, the configuration layer optimization model is used to perform configuration operation optimization calculations to obtain the updated location and capacity of the static var compensator. Step 6: Determine whether the calculation results have converged. If not, pass the updated location and capacity of the static var compensator to the operation layer and return to Step 3. If yes, output the location and capacity of the last updated static var compensator and the corresponding distribution network operation scheme for each typical scenario.

[0007] Optionally, in step one, the configuration layer parameters include: the set of configurable nodes for the static var compensator, the configuration capacity limit, the unit capacity investment cost, the discount rate, the service life, and the annual operation and maintenance rate; the operation layer parameters include: distribution network system parameters, energy storage system parameters, typical scenario power and corresponding number of days for distributed power sources and loads, time-of-use pricing, and unit cost of network loss.

[0008] Optionally, the typical scenarios are divided according to the season, specifically including four typical scenarios: spring, summer, autumn and winter.

[0009] Optionally, in step three, the dual optimization objective formula for the runtime optimization model is: ; ; in, For the economic objectives of the distribution network; For voltage quality targets; For the distribution network in the first Daily operating costs under typical scenarios; and These are the distribution network loss costs and the distribution network's cost of purchasing electricity from the main grid, respectively. For the operating cost of distributed power sources; and These are the differences between energy storage operating costs and charging / discharging costs, respectively. The scheduling period is set to 24 hours. This represents the total number of nodes in the network. For nodes exist Actual voltage at any given moment; This indicates the voltage reference value.

[0010] Optionally, in step three, the constraints of the operation layer optimization model include: node power balance constraints, line power flow constraints, node voltage constraints, energy storage operation constraints, distributed power output constraints, and static var compensator operation constraints. The node power balance constraint is: ; ; In the formula: and They are respectively The line flows through the time The active and reactive power; and They are respectively Time flows through the side road The active and reactive power; for Time flows through the side road The square of the current; and Branch roads Resistance and reactance; For access nodes Distributed power sources in Active power injected at all times; and These represent the nodes connected respectively. Energy storage Discharge and charge power at any given time; For access nodes The reactive power injected by the reactive power compensation equipment and They are respectively Time Node The active and reactive power of the load; Indicates It is the set of branch end nodes of the first node; Indicates The set of the starting nodes of the branches of the terminal nodes; The energy storage operation constraints are as follows: ; In the formula: and These are the access nodes. The energy storage charging and discharging power, and These are the access nodes. The upper limit of the energy storage charging and discharging power; , These are nodes Energy storage The charging / discharging status indicator at any given time is either 0 or 1; and They are nodes Energy storage Time and Charge at any given moment; and These are the charging and discharging efficiencies of energy storage, respectively. The time step is set to 1 hour. and They are nodes The energy stored at the start and end times is the charge amount; and They are nodes The minimum and maximum energy storage capacity; The operating constraints of the static var compensator are: ; In the formula: Indicates that it is connected to the node Static var compensator in Efforts made at all times; For nodes The capacity of the static var compensator.

[0011] Optionally, in step four, the formula for calculating the annual comprehensive operating cost of the distribution network is: ; In the formula: The annual comprehensive operating cost of the distribution network; The number of typical scenarios in a year; For the first The number of days that a typical scenario occurs. For the distribution network in the first The comprehensive daily operating cost under a typical scenario.

[0012] Optionally, in step five, the optimization objective of the configuration layer optimization model is: ; ; in, To configure the target of running optimized calculations, The annual comprehensive operating cost of the distribution network, The annual investment and maintenance cost of the static var compensator. The set of nodes connected to the static var compensator; The unit capacity investment cost of the static var compensator; For access nodes The capacity of the static var compensator; The discount rate; The service life of the equipment; The annual operation and maintenance cost rate for static var compensators; The constraints of the configuration layer optimization model are: ; in, and Access nodes The upper and lower limits of the configuration capacity of the static var compensator; This is the set of nodes for configurable static var compensators.

[0013] Optionally, in step six, the criterion for determining whether the calculation results converge is that the position and capacity values ​​of the static var compensator obtained in the two calculations do not change; in step six, the distribution network operation scheme includes: the output status of distributed power sources, the output status of energy storage, the output status of reactive power compensation equipment, and the actual voltage at each node in the distribution network.

[0014] In a second aspect, a computer device is provided, including a processor and a memory; wherein, when the processor executes a computer program stored in the memory, it implements the steps of the static var compensator configuration and voltage regulation method for distribution networks as described in any one of the first aspects.

[0015] Thirdly, a computer-readable storage medium is provided for storing a computer program; when executed by a processor, the computer program implements the steps of the static var compensator configuration and voltage regulation method applicable to power distribution networks as described in any one of the first aspects.

[0016] Compared with the prior art, the beneficial effects of the present invention are: This invention constructs a configuration-operation dual-layer optimization model, fully considering the coordinated operation of static var compensators (SVCs) with adjustable resources such as distributed power sources and energy storage in the distribution network. Through multi-device linkage, it improves the overall economy of reactive power compensation equipment configuration and distribution network operation. In addition, this invention takes into account both distribution network operating costs and voltage deviation, achieving dual optimization of economy and voltage quality. It avoids the limitations of single-objective optimization in existing technologies, effectively controlling voltage deviation and improving distribution network voltage stability while ensuring the economic efficiency of distribution network operation. Attached Figure Description

[0017] Figure 1This is a flowchart illustrating the static var compensator configuration and voltage regulation method applicable to power distribution networks according to the present invention. Figure 2 This is the improved IEEE 33-node power distribution network diagram in Embodiment 2 of the present invention; Figure 3 This represents the maximum photovoltaic output in four typical seasonal scenarios in Embodiment 2 of the present invention; Figure 4 These are the load power values ​​for four typical seasonal scenarios in Embodiment 2 of the present invention; Figure 5 This refers to the optimized node voltage distribution configured with a static var compensator in Embodiment 2 of the present invention. Detailed Implementation

[0018] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solutions of the present invention and should not be used to limit the scope of protection of the present invention. It should be noted that the term "comprising" and any variations thereof in the specification, claims and the above-mentioned drawings of the present invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or devices.

[0019] Example 1 A method for configuring static var compensators and regulating voltage in power distribution networks, comprising: Step 1: Construct a two-layer optimization model including a configuration layer and a runtime layer, and obtain the configuration layer parameters and runtime layer parameters; Step 2: Use the configuration layer to randomly generate initial values ​​for the location and capacity of the static var compensator and pass them to the operation layer; Step 3: Based on the location, capacity, and operation layer parameters of the static var compensator, perform dual-objective optimization operation calculations on the distribution network economy and voltage quality under various typical scenarios using the operation layer optimization model. Obtain the solution set of dual-objective optimization operation schemes under each typical scenario, and select the global optimal solution under each typical scenario. Step 4: Calculate the annual comprehensive operating cost of the distribution network under the global optimal solution and feed it back to the configuration layer; Step 5: Based on the annual comprehensive operating cost fed back from the operation layer and the parameters of the configuration layer, combined with the annual investment and maintenance cost of the static var compensator, the configuration layer optimization model is used to perform configuration operation optimization calculations to obtain the updated location and capacity of the static var compensator. Step 6: Determine whether the calculation results have converged. If not, pass the updated location and capacity of the static var compensator to the operation layer and return to Step 3. If yes, output the location and capacity of the last updated static var compensator and the corresponding distribution network operation scheme for each typical scenario.

[0020] In step one, the configuration layer parameters include: the set of configurable nodes for the static var compensator (SVC), the configuration capacity limit, the unit capacity investment cost, the discount rate, the service life, and the annual operation and maintenance cost rate. The operation layer parameters include: distribution network system parameters, energy storage system parameters, typical scenario power and corresponding number of days for distributed power sources and loads, time-of-use pricing, and unit cost of network losses. Typical scenarios are categorized by season, specifically including four typical scenarios: spring, summer, autumn, and winter.

[0021] In this embodiment, the dual optimization objective formula for the runtime optimization model in step three is: ; ; in, For the economic objectives of the distribution network, that is, for the economic objectives, the comprehensive cost of coordinated operation of adjustable equipment is considered; To achieve the voltage quality target, voltage deviations at each node are considered; For the distribution network in the first Daily operating costs under typical scenarios; and These are the distribution network loss costs and the distribution network's cost of purchasing electricity from the main grid, respectively. For the operating cost of distributed power sources; and These are the differences between energy storage operating costs and charging / discharging costs, respectively. The scheduling period is set to 24 hours. This represents the total number of nodes in the network. For nodes exist Actual voltage at any given moment; This indicates the voltage reference value.

[0022] In this embodiment, the costs are specifically represented as follows: ; ; ; ; ; In the formula: Cost per unit of network loss; for Total network loss power at any given time; for The price of electricity purchased from the main grid at all times; for The total active power that is constantly purchased from the main grid; The unit operating cost of distributed power sources; It is the set of nodes for distributed power sources connected in the distribution network; For access nodes Distributed power sources in The active power emitted at all times; The operating cost of energy storage charging and discharging; A set of nodes connected to energy storage; and Access nodes Energy storage Discharge and charge power at any given time; for The price of electricity sold or purchased for energy storage at all times.

[0023] In this embodiment, the constraints of the operation layer optimization model in step three include: node power balance constraints, line power flow constraints, node voltage constraints, energy storage operation constraints, distributed power output constraints, and static var compensator operation constraints.

[0024] 1) The node power balance constraint is: ; ; In the formula: and They are respectively The line flows through the time The active and reactive power; and They are respectively Time flows through the side road The active and reactive power; for Time flows through the side road The square of the current; and Branch roads Resistance and reactance; For access nodes Distributed power sources in Active power injected at all times; and These represent the nodes connected respectively. Energy storage Discharge and charge power at any given time; For access nodes The reactive power injected by the reactive power compensation equipment and They are respectively Time Node The active and reactive power of the load; Indicates It is the set of branch end nodes of the first node; Indicates The set of the starting nodes of the branches of the terminal nodes; 2) The power flow constraints of the line are: ; ; ; ; In the formula: for Time Node The square of the voltage; and Branch roads The lower and upper limits of the active power allowed to flow; and Branch roads The lower and upper limits of the reactive power that can flow; branch road The maximum current that is allowed to flow.

[0025] 3) Node voltage constraints are: ; ; In the formula: for Time Node The square of the voltage; and Representing nodes respectively The upper and lower limits of the voltage.

[0026] 4) Energy storage operation constraints are: ; In the formula: and These are the access nodes. The energy storage charging and discharging power, and These are the access nodes. The upper limit of the energy storage charging and discharging power; , These are nodes Energy storage The charging / discharging status indicator at any given time is either 0 or 1; and They are nodes Energy storage Time and Charge at any given moment; and These are the charging and discharging efficiencies of energy storage, respectively. The time step is set to 1 hour. and They are nodes The energy stored at the start and end times is the charge amount; and They are nodes The minimum and maximum energy storage capacity.

[0027] 5) The output constraints of distributed power sources are: ; In the formula: For access nodes Distributed power sources in The active power injected at all times, and Access nodes The upper and lower limits of the output of distributed power sources.

[0028] 6) The operating constraints of the static var compensator are: ; In the formula: Indicates that it is connected to the node Static var compensator in Efforts made at all times; For nodes The capacity of the static var compensator.

[0029] In this embodiment, the formula for calculating the annual comprehensive operating cost of the distribution network in step four is as follows: ; In the formula: The annual comprehensive operating cost of the distribution network; The number of typical scenarios in a year; For the first The number of days that a typical scenario occurs. For the distribution network in the first The comprehensive daily operating cost under a typical scenario.

[0030] In this embodiment, the optimization objective of the configuration layer optimization model in step five is: ; ; in, To configure the target of running optimized calculations, The annual comprehensive operating cost of the distribution network, The annual investment and maintenance cost of the static var compensator. The set of nodes connected to the static var compensator; The unit capacity investment cost of the static var compensator; For access nodes The capacity of the static var compensator; The discount rate; The service life of the equipment; The annual operation and maintenance cost rate for static var compensators; The constraints of the configuration layer optimization model are: ; in, and Access nodes The upper and lower limits of the configuration capacity of the static var compensator; This is the set of nodes for configurable static var compensators.

[0031] In this embodiment, the criterion for determining whether the calculation results in step six converge is that the position and capacity values ​​of the static var compensator obtained in the two calculations do not change. In step six, the power distribution network operation scheme includes: the output status of distributed power sources, the output status of energy storage, the output status of reactive power compensation equipment, and the actual voltage at each node in the power distribution network.

[0032] Example 2 A specific simulation example is provided, using an improved IEEE 33-node distribution network system for simulation. The system diagram is shown below. Figure 2 As shown. Node 1 is the connection point between the distribution network and the upstream network. The static var compensator (SVC) can be configured at nodes 1-33, with a maximum configuration capacity of 1 Mvar, a unit capacity investment cost of 250,000 RMB / Mvar, a discount rate of 8%, a service life of 15 years, and an annual operation and maintenance cost rate of 2.2%. Energy storage system 1 (rated capacity 2.22 MWh, rated power 0.48 MW) and energy storage system 2 (rated capacity 3.45 MWh, rated power 0.64 MW) are connected to nodes 16 and 30 respectively, with an energy storage charge / discharge efficiency of 0.95. The maximum output of distributed photovoltaic systems in typical seasonal scenarios is shown below. Figure 3 As shown, the power consumption of the load in typical scenarios for the four seasons is as follows: Figure 4 As shown, the number of days for each season—spring, summer, autumn, and winter—are 87, 125, 81, and 72 days, respectively. The time-of-use electricity price is shown in Table 1, and the unit cost of network loss is 0.5 yuan / kWh.

[0033] Table 1 Time-of-use electricity prices

[0034] The proposed method for configuring and regulating static var compensators (SVCs) in distribution networks was applied to obtain the optimal configuration scheme for SVCs and the optimized operation results of the distribution network. The optimal configuration scheme for SVCs is shown in Table 2, with SVCs of 0.28 Mvar, 0.23 Mvar, and 0.36 Mvar configured at nodes 6, 16, and 30, respectively.

[0035] Table 2 Optimal Configuration Scheme for Static Var Compensators

[0036] After configuring static var compensators (SVCs), and optimizing the operation of the distribution network considering safety and economic objectives, the node voltage distribution in the summer scenario is as follows: Figure 5 As shown, the voltage of each node is controlled between 0.98 pu and 1.04 pu, and the overall fluctuation of the node voltage is effectively suppressed.

[0037] To demonstrate the effectiveness of the configuration and operation method proposed in this invention, the following comparison methods are used: Method 1: During configuration and operation, only the investment and maintenance costs of the static var compensator and the distribution network loss costs are considered as optimization objectives; Method 2: The method proposed in this invention takes into account the investment and maintenance costs of static var compensators, the comprehensive operating costs of the distribution network, and voltage deviation as optimization objectives during configuration and operation.

[0038] The comparison results of the various methods are shown in Table 3. Considering only investment and maintenance costs and network loss costs, a smaller capacity configuration results in lower investment and maintenance costs, but a higher overall operating cost for the distribution network, bringing the total cost to RMB 13,683,980 per year, with an average voltage deviation rate of 3.81%. Considering investment and maintenance costs, overall distribution network operating costs, and voltage deviation, a larger capacity configuration, while increasing investment and maintenance costs, reduces overall operating costs, resulting in a total cost reduction to RMB 10,666,650 per year, and a decrease in the average voltage deviation rate to 0.78%, effectively improving economic efficiency and voltage quality.

[0039] Table 3 Comparison of different methods

[0040] Example 3 The present invention provides a computer device, including a processor and a memory; wherein, when the processor executes a computer program stored in the memory, it implements the steps of the above-described method for configuring and regulating a static var compensator applicable to a power distribution network.

[0041] For more detailed information on the above methods, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0042] Example 4 The present invention provides a computer-readable storage medium for storing a computer program; when the computer program is executed by a processor, it implements the steps of the above-described method for configuring and regulating a static var compensator applicable to a power distribution network.

[0043] For more detailed information on the above methods, please refer to the relevant content disclosed in the foregoing embodiments, which will not be repeated here.

[0044] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The devices and storage media disclosed in the embodiments are described simply because they correspond to the methods disclosed in the embodiments; relevant parts can be referred to the method section.

[0045] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments of the present invention.

[0046] The above are merely preferred embodiments of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should be considered within the scope of protection of the present invention.

Claims

1. A method for configuring and regulating voltage using static var compensators (SVCs) in power distribution networks, characterized in that, include: Step 1: Construct a two-layer optimization model including a configuration layer and a runtime layer, and obtain the configuration layer parameters and runtime layer parameters; Step 2: Use the configuration layer to randomly generate initial values ​​for the location and capacity of the static var compensator and pass them to the operation layer; Step 3: Based on the location, capacity, and operation layer parameters of the static var compensator, perform dual-objective optimization operation calculations on the distribution network economy and voltage quality under various typical scenarios using the operation layer optimization model. Obtain the solution set of dual-objective optimization operation schemes under each typical scenario, and select the global optimal solution under each typical scenario. Step 4: Calculate the annual comprehensive operating cost of the distribution network under the global optimal solution and feed it back to the configuration layer; Step 5: Based on the annual comprehensive operating cost fed back from the operation layer and the parameters of the configuration layer, combined with the annual investment and maintenance cost of the static var compensator, the configuration layer optimization model is used to perform configuration operation optimization calculations to obtain the updated location and capacity of the static var compensator. Step 6: Determine whether the calculation results have converged. If not, pass the updated location and capacity of the static var compensator to the operation layer and return to Step 3. If yes, output the location and capacity of the last updated static var compensator and the corresponding distribution network operation scheme for each typical scenario.

2. The method for configuring and regulating static var compensators (SVCs) in a power distribution network according to claim 1, characterized in that, In step one, the configuration layer parameters include: the set of configurable nodes for the static var compensator, the configuration capacity limit, the unit capacity investment cost, the discount rate, the service life, and the annual operation and maintenance rate; the operation layer parameters include: distribution network system parameters, energy storage system parameters, typical scenario power and corresponding number of days for distributed power sources and loads, time-of-use pricing, and unit cost of network loss.

3. The method for configuring and regulating static var compensators (SVCs) for power distribution networks according to claim 1, characterized in that, The typical scenarios are divided according to the season, specifically including four typical scenarios: spring, summer, autumn and winter.

4. The method for configuring and regulating static var compensators (SVCs) for power distribution networks according to claim 1, characterized in that, In step three, the dual optimization objective formula for the runtime optimization model is: ； ； in, For the economic objectives of the distribution network; For voltage quality targets; For the distribution network in the first Daily operating costs under typical scenarios; and These are the distribution network loss costs and the distribution network's cost of purchasing electricity from the main grid, respectively. For the operating cost of distributed power sources; and These are the differences between energy storage operating costs and charging / discharging costs, respectively. The scheduling period is set to 24 hours. This represents the total number of nodes in the network. For nodes exist Actual voltage at any given moment; This indicates the voltage reference value.

5. The method for configuring and regulating static var compensators (SVCs) for power distribution networks according to claim 4, characterized in that, In step three, the constraints of the operation layer optimization model include: node power balance constraints, line power flow constraints, node voltage constraints, energy storage operation constraints, distributed power output constraints, and static var compensator operation constraints. The node power balance constraint is: ； ； In the formula: and They are respectively The line flows through the time The active and reactive power; and They are respectively Time flows through the side road The active and reactive power; for Time flows through the side road The square of the current; and Branch roads Resistance and reactance; For access nodes Distributed power sources in Active power injected at all times; and These represent the nodes connected respectively. Energy storage Discharge and charge power at any given time; For access nodes The reactive power injected by the reactive power compensation equipment and They are respectively Time Node The active and reactive power of the load; Indicates It is the set of branch end nodes of the first node; Indicates The set of the starting nodes of the branches of the terminal nodes; The energy storage operation constraints are as follows: ； In the formula: and These are the access nodes. The energy storage charging and discharging power, and These are the access nodes. The upper limit of the energy storage charging and discharging power; , These are nodes Energy storage The charging / discharging status indicator at any given time is either 0 or 1; and They are nodes Energy storage Time and Charge at any given moment; and These are the charging and discharging efficiencies of energy storage, respectively. The time step is set to 1 hour. and They are nodes The energy stored at the start and end times is the charge amount; and They are nodes The minimum and maximum energy storage capacity; The operating constraints of the static var compensator are: ； In the formula: Indicates that it is connected to the node Static var compensator in Efforts made at all times; For nodes The capacity of the static var compensator.

6. The method for configuring and regulating static var compensators (SVCs) for power distribution networks according to claim 1, characterized in that, In step four, the formula for calculating the annual comprehensive operating cost of the distribution network is as follows: ； In the formula: The annual comprehensive operating cost of the distribution network; The number of typical scenarios in a year; For the first The number of days that a typical scenario occurs. For the distribution network in the first The comprehensive daily operating cost under a typical scenario.

7. The method for configuring and regulating static var compensators (SVCs) in a power distribution network according to claim 1, characterized in that, In step five, the optimization objective of the configuration layer optimization model is: ； ； in, To configure the target of running optimized calculations, The annual comprehensive operating cost of the distribution network, The annual investment and maintenance cost of the static var compensator. The set of nodes connected to the static var compensator; The unit capacity investment cost of the static var compensator; For access nodes The capacity of the static var compensator; The discount rate; The service life of the equipment; The annual operation and maintenance cost rate for static var compensators; The constraints of the configuration layer optimization model are: ； in, and Access nodes The upper and lower limits of the configuration capacity of the static var compensator; This is the set of nodes for configurable static var compensators.

8. The method for configuring and regulating static var compensators (SVCs) for power distribution networks according to claim 1, characterized in that, In step six, the criterion for determining whether the calculation results converge is that the position and capacity values ​​of the static var compensator obtained in the two calculations do not change. In step six, the distribution network operation scheme includes: the output of distributed power sources, the output of energy storage, the output of reactive power compensation equipment, and the actual voltage at each node in the distribution network.

9. A computer device, characterized in that, It includes a processor and a memory; wherein, when the processor executes the computer program stored in the memory, it implements the steps of the static var compensator configuration and voltage regulation method for distribution networks as described in any one of claims 1-8.

10. A computer-readable storage medium, characterized in that, Used to store computer programs; when the computer programs are executed by a processor, they implement the steps of the static var compensator configuration and voltage regulation method for distribution networks as described in any one of claims 1-8.

Images