CN116780666A - Reactive power dispatching method and device based on demand side response - Google Patents

Reactive power dispatching method and device based on demand side response Download PDF

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Publication number
CN116780666A
CN116780666A CN202310551995.XA CN202310551995A CN116780666A CN 116780666 A CN116780666 A CN 116780666A CN 202310551995 A CN202310551995 A CN 202310551995A CN 116780666 A CN116780666 A CN 116780666A
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China
Prior art keywords
reactive power
power
reactive
nodes
response
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CN202310551995.XA
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Chinese (zh)
Inventor
陶鹏
郭威
赵莎莎
张宁
白新雷
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State Grid Corp of China SGCC
Marketing Service Center of State Grid Hebei Electric Power Co Ltd
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State Grid Corp of China SGCC
Marketing Service Center of State Grid Hebei Electric Power Co Ltd
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Priority to CN202310551995.XA priority Critical patent/CN116780666A/en
Publication of CN116780666A publication Critical patent/CN116780666A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/50—Controlling the sharing of the out-of-phase component
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/04—Constraint-based CAD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Abstract

The invention provides a reactive power dispatching method and device based on demand side response. Because the controllable node is a load side node, reactive power regulation is more direct, rapid and reliable, and the reactive power regulation response speed and the reactive power regulation reliability are provided while reactive power dispatching of the power distribution network based on the response of the demand side is realized.

Description

Reactive power dispatching method and device based on demand side response
Technical Field
The invention relates to the technical field of power grids, in particular to a reactive power dispatching method and device based on demand side response.
Background
With the development of economy and society, energy demand and environmental cost are both increasing. In order to ensure sustainable development of energy environment and meet the power consumption requirements of economy and society, a power grid company actively converts a power grid development mode to construct a smart power grid, six links of transmission, transformation and distribution are involved, the aims of safety, reliability, economy, high efficiency and environmental friendliness of the power grid are achieved, and the smart power grid construction develops towards the directions of interaction, high efficiency, energy conservation and environmental protection.
In the construction process of the intelligent power grid, as a large-scale and high-permeability distributed power supply is connected into the power distribution network, the power quality, the stability, the reactive voltage control and the like of the power distribution network are seriously influenced, and the reactive power regulation of the power distribution network has the problems of long response time and low reliability.
Disclosure of Invention
The invention provides a reactive power dispatching method and device based on a demand side response, which can realize reactive power dispatching of a power distribution network based on the demand side response and provide reactive power regulation response speed.
In a first aspect, the present invention provides a reactive power scheduling method based on a demand side response, the method comprising: acquiring reactive response parameters reported by various controllable nodes in a power distribution network, real-time reactive response parameters of all demand response nodes, a preset first passive scheduling scheme of all demand response nodes in a current period, and real-time voltage of all control nodes of the power distribution network; determining reactive power to be scheduled of the power distribution network in the current period based on real-time reactive response parameters of each demand response node, a first reactive scheduling scheme and real-time voltage; based on reactive response parameters of various controllable nodes and a preset two-stage dynamic reactive power dispatching model, distributing reactive power to be dispatched, and determining a second reactive power dispatching scheme of the various controllable nodes; the two-stage dynamic reactive power dispatching model aims at optimizing the network loss and the voltage stability of the power distribution network; and based on a second reactive power scheduling scheme, the reactive power of the various controllable nodes is scheduled.
In one possible implementation, the controllable nodes include flexible load nodes, interruptible load nodes, and energy storage nodes; reactive response parameters include response type, response period and response load; based on the real-time reactive power response parameters of each demand response node, the first reactive power scheduling scheme and the real-time voltage, determining the reactive power to be scheduled of the power distribution network in the current period comprises the following steps: determining the residual regulation capacity of each demand response node in the current period based on the real-time reactive response parameters of each demand response node and the first reactive scheduling scheme; the residual regulation capacity is used for representing the sum of reactive power of demand response nodes which need reactive power regulation in the current time period but do not reach the regulation moment in the first reactive power regulation scheme; determining reactive power to be scheduled for each node of the power distribution network based on the real-time voltage and the reference voltage of the power distribution network; and determining the reactive power to be scheduled of the power distribution network in the current period based on the remaining adjustment capacity and the reactive power to be scheduled of each node of the power distribution network.
In one possible implementation, the two-stage dynamic reactive power scheduling model includes a first-stage model and a second-stage model; the method comprises the steps of obtaining reactive response parameters reported by various controllable nodes in a power distribution network, real-time reactive response parameters of various demand response nodes, a first passive scheduling scheme of various preset demand response nodes in a current period, and real-time voltage of various control nodes of the power distribution network, and further comprises the following steps: acquiring equipment parameters of each node of the power distribution network, wherein each node comprises a power generation node, a load node and a control node; the demand response node is a node with reactive power regulation capability in each node; the controllable node is a load node with reactive power regulation capability in the load nodes; the equipment parameters comprise installation parameters, voltage control parameters, power control parameters, positions among nodes and cable parameters; based on the installed parameters of each node, the voltage control parameters and the power control parameters, constructing constraint conditions of an objective function; based on the locations between nodes and the cable parameters; constructing a first objective function with minimum network loss of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a second objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a third objective function with the minimum network loss of the power distribution network as a target by taking reactive power of various controllable nodes as variables; based on the locations between nodes and the cable parameters; constructing a fourth objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of various controllable nodes as variables; constructing a first-stage model of a two-stage dynamic reactive power dispatching model based on the first objective function, the second objective function and the constraint condition; and constructing a second-stage model of the two-stage dynamic reactive power scheduling model based on the third objective function, the fourth objective function and the constraint condition.
In one possible implementation, based on reactive response parameters of various controllable nodes and a preset two-stage dynamic reactive power dispatching model, reactive power to be dispatched is distributed, and a second reactive power dispatching scheme of the various controllable nodes is determined, including: determining a plurality of populations based on reactive response parameters of the various controllable nodes and reactive power to be regulated, wherein one population comprises reactive regulation power of the various controllable nodes; solving an optimal solution of the two-stage dynamic reactive power scheduling model based on a plurality of populations and a particle swarm algorithm; and determining a second reactive power scheduling scheme of each controllable node based on the optimal solution.
In one possible implementation, based on a plurality of populations, and a particle swarm algorithm, solving an optimal solution for a two-stage dynamic reactive power scheduling model includes: step 11, initializing parameters of a particle swarm algorithm; randomly selecting one population from a plurality of populations as a current population; step 12, initializing the iteration number k=1; step 13, determining whether the current population meets constraint conditions; if the current population meets the constraint condition, executing the step 14; if the current population does not meet the constraint condition, executing the step 16; step 14, calculating the network loss corresponding to the current population; step 15, calculating voltage stability corresponding to the current population; step 16, determining an optimizing target value corresponding to the current population based on the network loss and the voltage stability corresponding to the current population and the first weight of the network loss and the second weight of the voltage stability; step 17, judging whether the optimizing target value corresponding to the current population is larger than the optimizing target value corresponding to the global optimal solution; if the optimizing target value corresponding to the current population is greater than the optimizing target value corresponding to the global optimal solution, executing step 18; if the optimizing target value corresponding to the current population is smaller than or equal to the optimizing target value corresponding to the global optimal solution, executing step 19; the global optimal solution is a population with the largest optimizing target value before the current iteration times; step 18, determining the current population as a globally optimal solution; and taking the determined global optimal solution as the optimal solution of the two-stage dynamic reactive power scheduling model; step 19; adding 1 to the iteration number, and judging whether the current iteration number is larger than the preset iteration number; if the current iteration number is greater than the preset iteration number, exiting the iteration process; if the current iteration number is less than or equal to the preset iteration number, the current population is updated, and steps 13 to 19 are repeatedly executed until the iteration process is exited.
In a possible implementation manner, the acquiring reactive response parameters reported by various controllable nodes in the power distribution network, real-time reactive response parameters of various demand response nodes, a preset first passive scheduling scheme of various demand response nodes in a current period, and real-time voltages of various control nodes of the power distribution network further includes: the reactive power response parameters reported by all demand response nodes in the node of the previous period are obtained, and the reactive power of the power distribution network predicted in the previous period is scheduled before the day of the current period; based on reactive response parameters reported by each demand response node and a two-stage dynamic reactive power dispatching model, dispatching reactive power in the future and carrying out power distribution to obtain a first passive dispatching scheme; and based on the first passive scheduling scheme, the reactive power of each demand response node is scheduled.
In one possible implementation, the scheduling of reactive power of the various controllable nodes based on the second reactive scheduling scheme includes: based on a second reactive power scheduling scheme, determining a control instruction, wherein the control instruction comprises response time and reactive power of various controllable nodes; and sending control instructions to the various controllable nodes to instruct the various controllable nodes to perform reactive power scheduling based on the corresponding response time and reactive power.
In one possible implementation, after the scheduling of the reactive power of the various controllable nodes based on the second reactive scheduling scheme, the method further includes: acquiring the power generation power of each distributed power supply in the power distribution network and the power consumption load of each node in the power distribution network; calculating the voltage stability rate of the power distribution network in the current period based on the real-time voltage of each control node of the power distribution network; if the voltage stabilization rate is smaller than the set threshold, calculating voltage deviation in each control node, and determining a first control node of which the voltage deviation in each control node is larger than the set voltage; determining active power to be scheduled based on the voltage deviation of the first control node; determining distributed power sources or power loads to be cut off based on active power to be scheduled, power generation power of each distributed power source in the power distribution network and power loads of each node; based on the distributed power or electrical load that needs to be resected, a resection instruction is generated to instruct the distributed power or electrical load to be resected.
In a second aspect, an embodiment of the present invention provides a reactive power dispatching apparatus based on a demand side response, including: the communication unit is used for acquiring reactive response parameters reported by various controllable nodes in the power distribution network, real-time reactive response parameters of all demand response nodes, a preset first passive scheduling scheme of all demand response nodes in the current period and real-time voltage of all control nodes of the power distribution network; the processing unit is used for determining reactive power to be scheduled of the power distribution network in the current period based on the real-time reactive response parameters of the demand response nodes, the first reactive scheduling scheme and the real-time voltage; based on reactive response parameters of various controllable nodes and a preset two-stage dynamic reactive power dispatching model, distributing reactive power to be dispatched, and determining a second reactive power dispatching scheme of the various controllable nodes; the two-stage dynamic reactive power dispatching model aims at optimizing the network loss and the voltage stability of the power distribution network; and based on a second reactive power scheduling scheme, the reactive power of the various controllable nodes is scheduled.
In one possible implementation, the controllable nodes include flexible load nodes, interruptible load nodes, and energy storage nodes; reactive response parameters include response type, response period and response load; the processing unit is specifically used for determining the residual regulation capacity of each demand response node in the current period based on the real-time reactive response parameters of each demand response node and the first reactive scheduling scheme; the residual regulation capacity is used for representing the sum of reactive power of demand response nodes which need reactive power regulation in the current time period but do not reach the regulation moment in the first reactive power regulation scheme; determining reactive power to be scheduled for each node of the power distribution network based on the real-time voltage and the reference voltage of the power distribution network; and determining the reactive power to be scheduled of the power distribution network in the current period based on the remaining adjustment capacity and the reactive power to be scheduled of each node of the power distribution network.
In one possible implementation, the two-stage dynamic reactive power scheduling model includes a first-stage model and a second-stage model; the communication unit is also used for acquiring equipment parameters of all nodes of the power distribution network, wherein each node comprises a power generation node, a load node and a control node; the demand response node is a node with reactive power regulation capability in each node; the controllable node is a load node with reactive power regulation capability in the load nodes; the equipment parameters comprise installation parameters, voltage control parameters, power control parameters, positions among nodes and cable parameters; the processing unit is also used for constructing constraint conditions of the objective function based on the installed parameters, the voltage control parameters and the power control parameters of each node; based on the locations between nodes and the cable parameters; constructing a first objective function with minimum network loss of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a second objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a third objective function with the minimum network loss of the power distribution network as a target by taking reactive power of various controllable nodes as variables; based on the locations between nodes and the cable parameters; constructing a fourth objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of various controllable nodes as variables; constructing a first-stage model of a two-stage dynamic reactive power dispatching model based on the first objective function, the second objective function and the constraint condition; and constructing a second-stage model of the two-stage dynamic reactive power scheduling model based on the third objective function, the fourth objective function and the constraint condition.
In one possible implementation manner, the processing unit is specifically configured to determine a plurality of populations based on reactive response parameters of each type of controllable node and reactive power to be adjusted, where one population includes reactive adjustment power of each type of controllable node; solving an optimal solution of the two-stage dynamic reactive power scheduling model based on a plurality of populations and a particle swarm algorithm; and determining a second reactive power scheduling scheme of each controllable node based on the optimal solution.
In one possible implementation, the processing unit is specifically configured to initialize the particle swarm algorithm parameter in step 11; randomly selecting one population from a plurality of populations as a current population; step 12, initializing the iteration number k=1; step 13, determining whether the current population meets constraint conditions; if the current population meets the constraint condition, executing the step 14; if the current population does not meet the constraint condition, executing the step 16; step 14, calculating the network loss corresponding to the current population; step 15, calculating voltage stability corresponding to the current population; step 16, determining an optimizing target value corresponding to the current population based on the network loss and the voltage stability corresponding to the current population and the first weight of the network loss and the second weight of the voltage stability; step 17, judging whether the optimizing target value corresponding to the current population is larger than the optimizing target value corresponding to the global optimal solution; if the optimizing target value corresponding to the current population is greater than the optimizing target value corresponding to the global optimal solution, executing step 18; if the optimizing target value corresponding to the current population is smaller than or equal to the optimizing target value corresponding to the global optimal solution, executing step 19; the global optimal solution is a population with the largest optimizing target value before the current iteration times; step 18, determining the current population as a globally optimal solution; and taking the determined global optimal solution as the optimal solution of the two-stage dynamic reactive power scheduling model; step 19; adding 1 to the iteration number, and judging whether the current iteration number is larger than the preset iteration number; if the current iteration number is greater than the preset iteration number, exiting the iteration process; if the current iteration number is less than or equal to the preset iteration number, the current population is updated, and steps 13 to 19 are repeatedly executed until the iteration process is exited.
In one possible implementation manner, the communication unit is further configured to obtain reactive response parameters reported by each demand response node in the node of the previous period, and schedule reactive power of the power distribution network predicted in the previous period before the day of the current period; the processing unit is also used for distributing the daily scheduled reactive power based on reactive response parameters reported by each demand response node and a two-stage dynamic reactive power scheduling model to obtain a first passive scheduling scheme; and based on the first passive scheduling scheme, the reactive power of each demand response node is scheduled.
In one possible implementation manner, the processing unit is specifically configured to determine a control instruction based on the second reactive power scheduling scheme, where the control instruction includes response time and reactive power of each controllable node; and sending control instructions to the various controllable nodes to instruct the various controllable nodes to perform reactive power scheduling based on the corresponding response time and reactive power.
In one possible implementation manner, the communication unit is further configured to obtain power generation power of each distributed power source in the power distribution network and power loads of each node in the power distribution network; the processing unit is also used for calculating the voltage stability rate of the power distribution network in the current period based on the real-time voltage of each control node of the power distribution network; if the voltage stabilization rate is smaller than the set threshold, calculating voltage deviation in each control node, and determining a first control node of which the voltage deviation in each control node is larger than the set voltage; determining active power to be scheduled based on the voltage deviation of the first control node; determining distributed power sources or power loads to be cut off based on active power to be scheduled, power generation power of each distributed power source in the power distribution network and power loads of each node; based on the distributed power or electrical load that needs to be resected, a resection instruction is generated to instruct the distributed power or electrical load to be resected.
In a third aspect, an embodiment of the present invention provides an electronic device, the electronic device comprising a memory storing a computer program and a processor for invoking and running the computer program stored in the memory to perform the steps of the method according to the first aspect and any possible implementation manner of the first aspect.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to the first aspect and any one of the possible implementations of the first aspect.
The invention provides a reactive power dispatching method and device based on demand side response. Because the controllable node is a load side node, reactive power regulation is more direct, rapid and reliable, and the reactive power regulation response speed and the reactive power regulation reliability are provided while reactive power dispatching of the power distribution network based on the response of the demand side is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a reactive power dispatching method based on a demand side response according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a reactive power dispatching device based on a demand side response according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In the description of the present application, "/" means "or" unless otherwise indicated, for example, A/B may mean A or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Further, "at least one", "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.
In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion that may be readily understood.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may, alternatively, include other steps or modules not listed or inherent to such process, method, article, or apparatus.
In the related art, the protection level of the electric energy meter is improved, and the internal temperature detection difficulty of the electric energy meter is increased. The failure probability of the electric energy meter is increased due to the reasons of terminal wiring failure and the like.
In order to solve the technical problem, the embodiment of the invention provides a safety monitoring method of an electric energy meter, which is used for monitoring the internal temperature of the electric energy meter at each moment, calculating the temperature rise and the temperature rapid change degree based on the internal temperature at each moment, determining the change situation of the internal temperature of the electric energy meter through threshold comparison, further adjusting the working state of the electric energy meter, realizing the safety monitoring of the electric energy meter, and avoiding the problem of electric energy meter fault damage caused by terminal faults of the electric energy meter.
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the following description will be made with reference to the accompanying drawings of the present invention by way of specific embodiments.
As shown in fig. 1, the embodiment of the invention provides a reactive power dispatching method based on a demand side response. The reactive power scheduling method comprises steps S101-S104.
S101, acquiring reactive response parameters reported by various controllable nodes in the power distribution network, real-time reactive response parameters of all demand response nodes, a preset first passive scheduling scheme of all demand response nodes in the current period, and real-time voltage of all control nodes of the power distribution network.
In some embodiments, the controllable nodes include a flexible load node, an interruptible load node, and an energy storage node. Reactive response parameters include response type, response period and response load.
In some embodiments, the first reactive scheduling scheme includes a response time and reactive power of each demand response node.
S102, determining reactive power to be scheduled of the power distribution network in the current period based on real-time reactive response parameters of each demand response node, a first reactive scheduling scheme and real-time voltage.
As a possible implementation manner, the embodiment of the present invention may implement step S102 in steps S1021-S1023.
S1021, determining the remaining adjustment capacity of each demand response node in the current period based on the real-time reactive response parameters of each demand response node and the first reactive scheduling scheme.
In some embodiments, the remaining capacity of the power regulator is used to characterize the sum of reactive powers of demand response nodes in the first reactive scheduling scheme that need to be reactive scheduled during the current time period but do not reach the scheduled time.
And S1022, determining reactive power to be scheduled by each node of the power distribution network based on the real-time voltage and the reference voltage of the power distribution network.
S1023, determining reactive power to be scheduled of the power distribution network in the current period based on the residual adjustment capability and the reactive power to be scheduled of each node of the power distribution network.
Therefore, the embodiment of the application can check the reactive power to be scheduled of the power distribution network based on the real-time voltage of the power distribution network, and perform secondary reactive power scheduling on the basis of daily scheduling of each demand response node, thereby improving reactive power compensation effect and voltage stability of the power distribution network.
S103, distributing reactive power to be scheduled based on reactive response parameters of various controllable nodes and a preset two-stage dynamic reactive power scheduling model, and determining a second reactive power scheduling scheme of the various controllable nodes.
In the embodiment of the application, the two-stage dynamic reactive power dispatching model aims at optimizing the network loss and the voltage stability of the power distribution network.
In some embodiments, the two-stage dynamic reactive power scheduling model includes a first stage model and a second stage model.
Illustratively, the first level model is used to solve a first active scheduling scheme for each demand response node. The second-level model is used for solving a second reactive power scheduling scheme of each type of controllable node.
As one possible implementation, the embodiment of the present application may determine the second reactive scheduling scheme based on steps S1031-S1033.
S1031, determining a plurality of groups based on reactive response parameters of various controllable nodes and reactive power to be regulated, wherein one group comprises reactive power regulation power of various controllable nodes.
S1032, solving the optimal solution of the two-stage dynamic reactive power dispatching model based on a plurality of populations and a particle swarm algorithm.
Step S1032 may be embodied as steps 11-19, for example.
Step 11, initializing parameters of a particle swarm algorithm; one population is randomly selected from a plurality of populations to be the current population.
Step 12, initializing the iteration number k=1.
Step 13, determining whether the current population meets constraint conditions; if the current population meets the constraint condition, executing the step 14; if the current population does not meet the constraint, step 16 is performed.
And 14, calculating the network loss corresponding to the current population.
And 15, calculating the voltage stability corresponding to the current population.
And step 16, determining an optimizing target value corresponding to the current population based on the network loss and the voltage stability corresponding to the current population and the first weight of the network loss and the second weight of the voltage stability.
Step 17, judging whether the optimizing target value corresponding to the current population is larger than the optimizing target value corresponding to the global optimal solution; if the optimizing target value corresponding to the current population is greater than the optimizing target value corresponding to the global optimal solution, executing step 18; if the optimizing target value corresponding to the current population is smaller than or equal to the optimizing target value corresponding to the global optimal solution, executing step 19; the global optimal solution is the population with the largest optimizing target value before the current iteration times.
And step 18, determining the current population as a globally optimal solution. And taking the determined global optimal solution as the optimal solution of the two-stage dynamic reactive power scheduling model.
Step 19; adding 1 to the iteration number, and judging whether the current iteration number is larger than the preset iteration number; if the current iteration number is greater than the preset iteration number, exiting the iteration process; if the current iteration number is less than or equal to the preset iteration number, the current population is updated, and steps 13 to 19 are repeatedly executed until the iteration process is exited.
S1033, determining a second reactive power scheduling scheme of each type of controllable node based on the optimal solution.
In some embodiments, the second reactive power scheduling scheme includes the reactive power and the response time of the various controllable nodes.
Therefore, the embodiment of the invention can improve the calculation efficiency and ensure the real-time performance of reactive power dispatching for the second reactive power dispatching scheme which aims at optimizing the network loss and the voltage stability of the power distribution network through the particle swarm algorithm.
And S104, based on a second reactive power scheduling scheme, the reactive power of the various controllable nodes is scheduled.
As a possible implementation, step S104 may be implemented as S1041-S1042.
S1041, determining a control instruction based on the second reactive power scheduling scheme.
In some embodiments, the control instructions include the reactive power and the response time of each type of controllable node.
And S1042, sending control instructions to various controllable nodes to instruct the various controllable nodes to perform reactive power scheduling based on the corresponding response time and reactive power.
The invention provides a reactive power dispatching method based on demand side response, which is characterized in that after primary reactive power dispatching is performed based on demand response nodes, secondary reactive power dispatching is performed through controllable nodes in a power distribution network, and daily dispatching and real-time dispatching of reactive power are realized. Because the controllable node is a load side node, reactive power regulation is more direct, rapid and reliable, and the reactive power regulation response speed and the reactive power regulation reliability are provided while reactive power dispatching of the power distribution network based on the response of the demand side is realized.
Optionally, before step S101, the reactive power scheduling method based on the demand side response provided in the embodiment of the present invention further includes steps S201 to S208.
S201, acquiring equipment parameters of each node of the power distribution network.
Each node comprises a power generation node, a load node and a control node; the demand response node is a node with reactive power regulation capability in each node; the controllable node is a load node with reactive power regulation capability in the load nodes; the device parameters include installation parameters, voltage control parameters, power control parameters, and location and cable parameters between nodes.
S202, constructing constraint conditions of an objective function based on installed parameters, voltage control parameters and power control parameters of each node.
In some embodiments, the constraint conditions include a power balance constraint, a node voltage constraint, a power output upper and lower limit and a climbing rate constraint of a conventional generator set, and a charge and discharge power constraint of the energy storage system in response to an adjustment upper and lower limit and an adjustment rate constraint of the nodes.
Illustratively, the power balance constraints include active power balance constraints and reactive power constraints. The active power balance constraint is that the difference between the generated energy and the loaded energy is smaller than the set difference. The reactive power constraint is that the ratio of reactive power to active power is less than a set ratio.
Illustratively, the node voltage constraints are such that the node voltages of the nodes within the power distribution network meet a voltage criterion. For example, the node voltage of each node should be varied in a range of 50.+ -. 0.2Hz.
Illustratively, the upper and lower limits of the output force of a conventional generator set should meet design criteria. If the output power of the conventional generator set is larger than the minimum limit value and smaller than the maximum limit value. The ramp rate of a conventional genset should be less than a set point.
Illustratively, the upper and lower regulation limits of each demand response node are constrained such that the regulated power of each demand response node should be greater than a minimum limit and less than a maximum limit. The minimum limit value and the maximum limit value of the regulating power of each demand response node should be comprehensively determined according to the operation condition and the installed capacity of each demand response node.
Illustratively, the charge and discharge power constraints of the energy storage system are such that the charge power and the discharge power of the energy storage system should satisfy greater than a minimum limit and less than a maximum limit.
S203, based on the positions among the nodes and the cable parameters, the reactive power of each demand response node is used as a variable, and a first objective function which aims at the minimum network loss of the power distribution network is constructed.
As a possible implementation manner, the embodiment of the invention can determine the network loss between the nodes based on the voltage of each node, the position between the nodes and the cable parameters, and add the network loss between the nodes to obtain the network loss of the power distribution network.
S204, based on the positions among the nodes and the cable parameters, the reactive power of each demand response node is used as a variable, and a second objective function which aims at the highest voltage stability of the power distribution network is constructed.
As a possible implementation manner, the embodiment of the invention can calculate the voltage offset rate of the power distribution network based on the voltage of each node and the reference voltage of the power distribution network. For example, the embodiment of the invention can calculate each node of each node, then calculate the average value of the voltage offset rate of each node, and determine the average value as the voltage offset rate of the power distribution network. Furthermore, the embodiment of the invention can determine the voltage stability of the power distribution network according to the voltage offset rate of each node.
Illustratively, the smaller the voltage offset ratio, the higher the voltage stability. The larger the voltage offset ratio, the lower the voltage stability.
S205, based on the positions among the nodes and the cable parameters, the reactive power of the various controllable nodes is used as a variable, and a third objective function which aims at the minimum network loss of the power distribution network is constructed.
As a possible implementation manner, the embodiment of the invention can determine the network loss between the nodes based on the voltage of each node, the position between the nodes and the cable parameters, and add the network loss between the nodes to obtain the network loss of the power distribution network.
S206, based on the positions among the nodes and the cable parameters, the reactive power of the various controllable nodes is used as a variable, and a fourth objective function which aims at the highest voltage stability of the power distribution network is constructed.
As a possible implementation manner, the embodiment of the invention can calculate the voltage offset rate of the power distribution network based on the voltage of each node and the reference voltage of the power distribution network. For example, the embodiment of the invention can calculate each node of each node, then calculate the average value of the voltage offset rate of each node, and determine the average value as the voltage offset rate of the power distribution network. Furthermore, the embodiment of the invention can determine the voltage stability of the power distribution network according to the voltage offset rate of each node.
Illustratively, the smaller the voltage offset ratio, the higher the voltage stability. The larger the voltage offset ratio, the lower the voltage stability.
S207, constructing a first-stage model of the two-stage dynamic reactive power dispatching model based on the first objective function, the second objective function and the constraint condition.
S208, constructing a second-stage model of the two-stage dynamic reactive power dispatching model based on the third objective function, the fourth objective function and the constraint condition.
Therefore, the embodiment of the invention can construct a second-stage model of the two-stage dynamic reactive power dispatching model before reactive power dispatching, realize the solving and calculating of the day-ahead dispatching and the real-time dispatching in the reactive power dispatching, improve the reactive power dispatching effect and ensure the voltage stability of the power distribution network.
Optionally, before step S101, the reactive power scheduling method based on the response of the demand side provided in the embodiment of the present invention further includes steps S301 to S303.
S301, acquiring reactive response parameters reported by each demand response node in the node of the previous period, and dispatching reactive power of the power distribution network predicted in the previous period before the current period.
S302, based on reactive response parameters reported by each demand response node and a two-stage dynamic reactive power dispatching model, dispatching reactive power in the future and carrying out power distribution to obtain a first reactive power dispatching scheme.
S303, based on the first passive scheduling scheme, the reactive power of each demand response node is scheduled.
Therefore, the embodiment of the invention can carry out daily scheduling and primary scheduling through each demand response node before carrying out secondary scheduling based on various controllable nodes, so that the primary scheduling and the secondary scheduling in reactive scheduling are combined, the scheduling effect of reactive scheduling of the response of the demand side of the power distribution network is improved, and the response speed and the reliability of reactive regulation of the power distribution network are improved.
Optionally, after step S104, the reactive power dispatching method based on the demand side response provided in the embodiment of the present invention further includes steps S401 to S405.
S401, acquiring the power generation power of each distributed power supply in the power distribution network and the power consumption load of each node in the power distribution network.
S402, calculating the voltage stability rate of the power distribution network in the current period based on the real-time voltage of each control node of the power distribution network.
In some embodiments, the control node is the node of the nodes that requires a control voltage.
As a possible implementation manner, the embodiment of the present invention may calculate the voltage offset rate of the power distribution network based on the voltage of each control node and the reference voltage of the power distribution network. For example, the embodiment of the invention can calculate each control node of each control node, then calculate the average value of the voltage offset rate of each control node, and determine the average value as the voltage offset rate of the power distribution network. Furthermore, the embodiment of the invention can determine the voltage stability of the power distribution network according to the voltage offset rate of each control node.
And S403, if the voltage stabilization rate is smaller than the set threshold value, calculating the voltage deviation in each control node, and determining a first control node of which the voltage deviation is larger than the set voltage in each control node.
S404, determining the active power to be scheduled based on the voltage deviation of the first control node.
S405, determining the distributed power sources or the power loads to be cut off based on the active power to be scheduled, the power generation power of each distributed power source in the power distribution network and the power loads of each node.
S406, generating a cutting instruction to instruct cutting of the distributed power supply or the electric load based on the distributed power supply or the electric load which needs cutting.
Therefore, the embodiment of the invention can detect the voltage stability of the power distribution network in real time, and when the voltage stability exceeds the limit, the distributed power supply or the power load can be cut off, so that the distributed power supply is prevented from seriously influencing the aspects of power quality, stability, reactive voltage control and the like of the power distribution network, the dispatching effect of reactive power dispatching of the response of the power distribution network on the demand side is improved, and the response speed of reactive power regulation and the reliability of reactive power regulation of the power distribution network are improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
The following are device embodiments of the invention, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 2 shows a schematic structural diagram of a reactive power dispatching device based on a demand side response according to an embodiment of the present invention. The reactive power scheduler 500 comprises a communication unit 501 and a processing unit 502.
The communication unit 501 is configured to obtain reactive response parameters reported by various controllable nodes in the power distribution network, real-time reactive response parameters of each demand response node, a preset first passive scheduling scheme of each demand response node in a current period, and real-time voltage of each control node of the power distribution network.
The processing unit 502 is configured to determine reactive power to be scheduled of the power distribution network in a current period based on real-time reactive response parameters of each demand response node, a first reactive scheduling scheme, and real-time voltage; based on reactive response parameters of various controllable nodes and a preset two-stage dynamic reactive power dispatching model, distributing reactive power to be dispatched, and determining a second reactive power dispatching scheme of the various controllable nodes; the two-stage dynamic reactive power dispatching model aims at optimizing the network loss and the voltage stability of the power distribution network; and based on a second reactive power scheduling scheme, the reactive power of the various controllable nodes is scheduled.
In one possible implementation, the controllable nodes include flexible load nodes, interruptible load nodes, and energy storage nodes; reactive response parameters include response type, response period and response load; the processing unit 502 is specifically configured to determine remaining adjustment capability of each demand response node in the current period based on the real-time reactive response parameter and the first reactive scheduling scheme of each demand response node; the residual regulation capacity is used for representing the sum of reactive power of demand response nodes which need reactive power regulation in the current time period but do not reach the regulation moment in the first reactive power regulation scheme; determining reactive power to be scheduled for each node of the power distribution network based on the real-time voltage and the reference voltage of the power distribution network; and determining the reactive power to be scheduled of the power distribution network in the current period based on the remaining adjustment capacity and the reactive power to be scheduled of each node of the power distribution network.
In one possible implementation, the two-stage dynamic reactive power scheduling model includes a first-stage model and a second-stage model; the communication unit 501 is further configured to obtain device parameters of each node of the power distribution network, where each node includes a power generation node, a load node, and a control node; the demand response node is a node with reactive power regulation capability in each node; the controllable node is a load node with reactive power regulation capability in the load nodes; the equipment parameters comprise installation parameters, voltage control parameters, power control parameters, positions among nodes and cable parameters; the processing unit 502 is further configured to construct constraint conditions of the objective function based on the installed parameters, the voltage control parameters and the power control parameters of each node; based on the locations between nodes and the cable parameters; constructing a first objective function with minimum network loss of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a second objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of each demand response node as a variable; based on the locations between nodes and the cable parameters; constructing a third objective function with the minimum network loss of the power distribution network as a target by taking reactive power of various controllable nodes as variables; based on the locations between nodes and the cable parameters; constructing a fourth objective function with the highest voltage stability of the power distribution network as a target by taking reactive power of various controllable nodes as variables; constructing a first-stage model of a two-stage dynamic reactive power dispatching model based on the first objective function, the second objective function and the constraint condition; and constructing a second-stage model of the two-stage dynamic reactive power scheduling model based on the third objective function, the fourth objective function and the constraint condition.
In a possible implementation manner, the processing unit 502 is specifically configured to determine a plurality of populations based on reactive response parameters of each type of controllable node and reactive power to be adjusted, where one population includes reactive power adjustment of each type of controllable node; solving an optimal solution of the two-stage dynamic reactive power scheduling model based on a plurality of populations and a particle swarm algorithm; and determining a second reactive power scheduling scheme of each controllable node based on the optimal solution.
In a possible implementation manner, the processing unit 502 is specifically configured to perform the following steps: step 11, initializing parameters of a particle swarm algorithm; randomly selecting one population from a plurality of populations as a current population; step 12, initializing the iteration number k=1; step 13, determining whether the current population meets constraint conditions; if the current population meets the constraint condition, executing the step 14; if the current population does not meet the constraint condition, executing the step 16; step 14, calculating the network loss corresponding to the current population; step 15, calculating voltage stability corresponding to the current population; step 16, determining an optimizing target value corresponding to the current population based on the network loss and the voltage stability corresponding to the current population and the first weight of the network loss and the second weight of the voltage stability; step 17, judging whether the optimizing target value corresponding to the current population is larger than the optimizing target value corresponding to the global optimal solution; if the optimizing target value corresponding to the current population is greater than the optimizing target value corresponding to the global optimal solution, executing step 18; if the optimizing target value corresponding to the current population is smaller than or equal to the optimizing target value corresponding to the global optimal solution, executing step 19; the global optimal solution is a population with the largest optimizing target value before the current iteration times; step 18, determining the current population as a globally optimal solution; and taking the determined global optimal solution as the optimal solution of the two-stage dynamic reactive power scheduling model; step 19; adding 1 to the iteration number, and judging whether the current iteration number is larger than the preset iteration number; if the current iteration number is greater than the preset iteration number, exiting the iteration process; if the current iteration number is less than or equal to the preset iteration number, the current population is updated, and steps 13 to 19 are repeatedly executed until the iteration process is exited.
In a possible implementation manner, the communication unit 501 is further configured to obtain reactive response parameters reported by each demand response node in the node of the previous period, and schedule reactive power of the power distribution network predicted in the previous period before the day of the current period; the processing unit 502 is further configured to perform power allocation on the daily scheduled reactive power based on reactive response parameters reported by each demand response node and a two-stage dynamic reactive power scheduling model, so as to obtain a first passive scheduling scheme; and based on the first passive scheduling scheme, the reactive power of each demand response node is scheduled.
In a possible implementation manner, the processing unit 502 is specifically configured to determine a control instruction based on the second reactive power scheduling scheme, where the control instruction includes response time and reactive power of each type of controllable node; and sending control instructions to the various controllable nodes to instruct the various controllable nodes to perform reactive power scheduling based on the corresponding response time and reactive power.
In a possible implementation manner, the communication unit 501 is further configured to obtain power generated by each distributed power source in the power distribution network, and an electrical load of each node in the power distribution network; the processing unit 502 is further configured to calculate a voltage stability rate of the power distribution network at the current period based on the real-time voltages of the control nodes of the power distribution network; if the voltage stabilization rate is smaller than the set threshold, calculating voltage deviation in each control node, and determining a first control node of which the voltage deviation in each control node is larger than the set voltage; determining active power to be scheduled based on the voltage deviation of the first control node; determining distributed power sources or power loads to be cut off based on active power to be scheduled, power generation power of each distributed power source in the power distribution network and power loads of each node; based on the distributed power or electrical load that needs to be resected, a resection instruction is generated to instruct the distributed power or electrical load to be resected.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic device 600 of this embodiment includes: a processor 601, a memory 602, and a computer program 603 stored in the memory 602 and executable on the processor 601. The steps of the method embodiments described above, such as steps S101-S104 shown in fig. 1, are implemented when the processor 601 executes the computer program 603. Alternatively, the processor 601 may implement the functions of the modules/units in the above-described device embodiments when executing the computer program 603, for example, the functions of the communication unit 501 and the processing unit 502 shown in fig. 2.
Illustratively, the computer program 603 may be partitioned into one or more modules/units that are stored in the memory 602 and executed by the processor 601 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used to describe the execution of the computer program 603 in the electronic device 600. For example, the computer program 603 may be divided into the communication unit 501 and the processing unit 502 shown in fig. 2.
The processor 601 may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 602 may be an internal storage unit of the electronic device 600, such as a hard disk or a memory of the electronic device 600. The memory 602 may also be an external storage device of the electronic device 600, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 600. Further, the memory 602 may also include both internal storage units and external storage devices of the electronic device 600. The memory 602 is used for storing the computer program and other programs and data required by the terminal. The memory 602 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and modules are only for distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the apparatus/terminal embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present invention may implement all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the computer program may implement the steps of each of the method embodiments described above. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.

Claims (10)

1. A reactive power scheduling method based on demand side response, comprising:
acquiring reactive response parameters reported by various controllable nodes in a power distribution network, real-time reactive response parameters of all demand response nodes, a preset first passive scheduling scheme of all demand response nodes in a current period, and real-time voltage of all control nodes of the power distribution network;
determining reactive power to be scheduled of the power distribution network in a current period based on the real-time reactive response parameters of the demand response nodes, the first reactive scheduling scheme and the real-time voltage;
based on reactive response parameters of the various controllable nodes and a preset two-stage dynamic reactive power dispatching model, distributing the reactive power to be dispatched, and determining a second reactive power dispatching scheme of the various controllable nodes; the two-stage dynamic reactive power scheduling model aims at optimizing the network loss and the voltage stability of the power distribution network;
And scheduling the reactive power of the various controllable nodes based on the second reactive power scheduling scheme.
2. The demand side response based reactive power scheduling method of claim 1, wherein the controllable nodes comprise a flexible load node, an interruptible load node, and an energy storage node; the reactive response parameters comprise response types, response time periods and response loads;
the determining the reactive power to be scheduled of the power distribution network in the current period based on the real-time reactive response parameters of the demand response nodes, the first reactive scheduling scheme and the real-time voltage includes:
determining the residual regulation capacity of each demand response node in the current period based on the real-time reactive response parameters of each demand response node and the first reactive scheduling scheme; the residual regulation capacity is used for representing the sum of reactive power of demand response nodes which need reactive power regulation in the current time period but do not reach the regulation moment in the first reactive power regulation scheme;
determining reactive power to be scheduled for each node of the power distribution network based on the real-time voltage and the reference voltage of the power distribution network;
and determining reactive power to be scheduled of the power distribution network in the current period based on the residual adjustment capability and the reactive power to be scheduled of each node of the power distribution network.
3. The demand side response based reactive power dispatching method of claim 1, wherein the two-stage dynamic reactive power dispatching model comprises a first-stage model and a second-stage model;
the method comprises the steps of obtaining reactive response parameters reported by various controllable nodes in a power distribution network, real-time reactive response parameters of various demand response nodes, a first passive scheduling scheme of various preset demand response nodes in a current period, and real-time voltage of various control nodes of the power distribution network, and further comprises the following steps:
acquiring equipment parameters of each node of the power distribution network, wherein each node comprises a power generation node, a load node and a control node; the demand response nodes are nodes with reactive power regulation capacity in each node; the controllable node is a load node with reactive power regulation capability in the load nodes; the equipment parameters comprise installation parameters, voltage control parameters, power control parameters, positions among nodes and cable parameters;
based on the installed parameters, voltage control parameters and power control parameters of each node, constructing constraint conditions of an objective function;
based on the positions among the nodes and the cable parameters, taking the reactive power of each demand response node as a variable, and constructing a first objective function which aims at the minimum network loss of the power distribution network;
Based on the positions among the nodes and the cable parameters, taking the reactive power of each demand response node as a variable, and constructing a second objective function with the highest voltage stability of the power distribution network as a target;
based on the positions among the nodes and the cable parameters, constructing a third objective function which aims at the minimum network loss of the power distribution network by taking the reactive power of various controllable nodes as variables;
based on the positions among the nodes and the cable parameters, taking reactive power of various controllable nodes as variables, and constructing a fourth objective function which aims at the highest voltage stability of the power distribution network;
constructing a first-stage model of the two-stage dynamic reactive power scheduling model based on the first objective function, the second objective function and the constraint condition;
and constructing a second-stage model of the two-stage dynamic reactive power scheduling model based on the third objective function, the fourth objective function and the constraint condition.
4. The reactive power dispatching method based on the demand side response according to claim 1, wherein the allocating the reactive power to be dispatched based on reactive power response parameters of the various controllable nodes and a preset two-stage dynamic reactive power dispatching model, and determining a second reactive power dispatching scheme of the various controllable nodes, comprises:
Determining a plurality of populations based on reactive response parameters of the various controllable nodes and the reactive power to be regulated, wherein one population comprises reactive regulation power of the various controllable nodes;
solving an optimal solution of the two-stage dynamic reactive power scheduling model based on the plurality of populations and a particle swarm algorithm;
and determining a second reactive power scheduling scheme of the various controllable nodes based on the optimal solution.
5. The demand side response based reactive power scheduling method of claim 4, wherein the solving the optimal solution of the two-stage dynamic reactive power scheduling model based on the plurality of populations and a particle swarm algorithm comprises:
step 11, initializing parameters of a particle swarm algorithm; randomly selecting one population from the plurality of populations as a current population;
step 12, initializing the iteration number k=1;
step 13, determining whether the current population meets constraint conditions; if the current population meets the constraint condition, executing the step 14; if the current population does not meet the constraint condition, executing step 16;
step 14, calculating the network loss corresponding to the current population;
step 15, calculating voltage stability corresponding to the current population;
Step 16, determining an optimizing target value corresponding to the current population based on the network loss and the voltage stability corresponding to the current population and the first weight of the network loss and the second weight of the voltage stability;
step 17, judging whether the optimizing target value corresponding to the current population is larger than the optimizing target value corresponding to the global optimal solution; if the optimizing target value corresponding to the current population is greater than the optimizing target value corresponding to the global optimal solution, executing step 18; if the optimizing target value corresponding to the current population is smaller than or equal to the optimizing target value corresponding to the global optimal solution, executing step 19; the global optimal solution is a population with the largest optimizing target value before the current iteration times;
step 18, determining the current population as a globally optimal solution; and taking the determined global optimal solution as the optimal solution of the two-stage dynamic reactive power scheduling model;
step 19; adding 1 to the iteration number, and judging whether the current iteration number is larger than the preset iteration number; if the current iteration number is greater than the preset iteration number, exiting the iteration process; if the current iteration number is less than or equal to the preset iteration number, the current population is updated, and steps 13 to 19 are repeatedly executed until the iteration process is exited.
6. The reactive power scheduling method based on demand side response according to any one of claims 1 to 5, wherein the obtaining reactive power response parameters reported by various controllable nodes in the power distribution network, real-time reactive power response parameters of each demand response node, a pre-established first reactive power scheduling scheme of each demand response node in a current period, and real-time voltage of each control node of the power distribution network further includes:
acquiring reactive response parameters reported by each demand response node in the previous period, and dispatching reactive power of the power distribution network in the current period predicted in the previous period;
based on reactive response parameters reported by the demand response nodes and the two-stage dynamic reactive power scheduling model, performing power distribution on the daily scheduled reactive power to obtain the first passive scheduling scheme;
and scheduling the reactive power of each demand response node based on the first reactive scheduling scheme.
7. The reactive power scheduling method based on demand side response according to any one of claims 1 to 5, wherein the scheduling reactive power of various controllable nodes based on the second reactive power scheduling scheme comprises:
Determining a control instruction based on the second reactive power scheduling scheme, wherein the control instruction comprises response time and reactive power of various controllable nodes;
and sending the control instruction to various controllable nodes to instruct the various controllable nodes to perform reactive power scheduling based on the corresponding response time and reactive power.
8. The reactive power scheduling method based on demand side response according to any one of claims 1 to 5, further comprising, after the scheduling of reactive power of the various controllable nodes based on the second reactive power scheduling scheme:
acquiring the power generation power of each distributed power supply in the power distribution network and the power load of each node in the power distribution network;
calculating the voltage stability rate of the power distribution network in the current period based on the real-time voltage of each control node of the power distribution network;
if the voltage stabilizing rate is smaller than a set threshold value, calculating voltage deviation in each control node, and determining a first control node of which the voltage deviation is larger than the set voltage;
determining active power to be scheduled based on the voltage deviation of the first control node;
determining distributed power sources or power loads to be cut off based on the active power to be scheduled, the power generation power of each distributed power source in the power distribution network and the power loads of each node;
And generating a cutting instruction based on the distributed power supply or the electric load to be cut off so as to indicate the cutting of the distributed power supply or the electric load.
9. A reactive power dispatching device based on demand side response, comprising:
the communication unit is used for acquiring reactive response parameters reported by various controllable nodes in the power distribution network, real-time reactive response parameters of all demand response nodes, a preset first passive scheduling scheme of all demand response nodes in the current period and real-time voltage of all control nodes of the power distribution network;
the processing unit is used for determining reactive power to be scheduled of the power distribution network in the current period based on the real-time reactive response parameters of the demand response nodes, the first passive scheduling scheme and the real-time voltage; based on reactive response parameters of the various controllable nodes and a preset two-stage dynamic reactive power dispatching model, distributing the reactive power to be dispatched, and determining a second reactive power dispatching scheme of the various controllable nodes; the two-stage dynamic reactive power scheduling model aims at optimizing the network loss and the voltage stability of the power distribution network; and scheduling the reactive power of the various controllable nodes based on the second reactive power scheduling scheme.
10. An electronic device comprising a memory storing a computer program and a processor for invoking and running the computer program stored in the memory to perform the steps of the method according to any of claims 1 to 8.
CN202310551995.XA 2023-05-16 2023-05-16 Reactive power dispatching method and device based on demand side response Pending CN116780666A (en)

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