CN-122001001-A - Multi-scene simulation verification and multi-objective optimization method based on power distribution network protection scheme

CN122001001ACN 122001001 ACN122001001 ACN 122001001ACN-122001001-A

Abstract

The invention discloses a multi-scene simulation verification and multi-objective optimization method based on a power distribution network protection scheme, which comprises the steps of obtaining power distribution network multi-dimensional data, preprocessing the multi-dimensional data, constructing a digital twin model based on the preprocessed multi-dimensional data, presetting a plurality of scenes based on the running risk of the power distribution network, generating scene variables through a random algorithm, constructing a simulation environment for each scene, starting the digital twin model to simulate in the simulation environment, outputting simulation results, constructing an evaluation index system, determining weights by a hierarchical analysis method, weighting and calculating comprehensive evaluation values of the simulation results, iteratively optimizing the protection scheme and the resource allocation of the demand side by adopting a multi-objective genetic algorithm, searching pareto optimal solutions, and guaranteeing the safety, economy and multi-objective balance of the scheme.

Inventors

YANG JUN
WANG XIAOBO
YAN HAO
HONG HUIJIE
XIA CHENYI
WU YAN
PAN FENG
HE JINBO
DENG LIJING
ZHANG XIANG
HUANG WEI
JIANG HUI
WANG BIN
ZHOU XIAOJUN
FANG QIAN

Assignees

国网浙江省电力有限公司台州市路桥区供电公司

Dates

Publication Date: 20260508
Application Date: 20251202

Claims (8)

1. The multi-scene simulation verification and multi-objective optimization method based on the power distribution network protection scheme is characterized by comprising the following steps of: step1, acquiring multi-dimensional data of a power distribution network, wherein the multi-dimensional data comprises power distribution network topology and equipment parameters, a demand side energy supply system model parameter and a protection setting model parameter, and preprocessing the multi-dimensional data; step 2, constructing a digital twin model based on the preprocessed multidimensional data; step 3, presetting a plurality of scenes based on the running risk of the power distribution network, and generating scene variables through a random algorithm, constructing a simulation environment for each scene, starting a digital twin model to simulate in the simulation environment, and outputting a simulation result; Step 4, constructing an evaluation index system, determining weights by using an analytic hierarchy process, and weighting and calculating comprehensive evaluation values of simulation results; and 5, iteratively optimizing the protection scheme and the resource allocation at the demand side by adopting a multi-objective genetic algorithm by taking the comprehensive evaluation value as a target, and searching an optimal solution, wherein the optimal solution is the optimal combination of the protection scheme and the resource allocation at the demand side.
2. The method for multi-scenario simulation verification and multi-objective optimization based on the protection scheme of the power distribution network according to claim 1, wherein in the step 1, preprocessing is performed on multi-dimensional data, specifically: The method comprises the steps of adopting an isolated forest algorithm to remove abnormal values in topological parameters of the power distribution network and abrupt change points in working condition data, converting the format of multidimensional data into a format which is compatible with a digital twin model, and adding time stamp-geographical position labels to model parameters of a power supply system at a demand side and parameters of power distribution network equipment for avoiding data space-time dislocation during simulation.
3. The method for multi-scenario simulation verification and multi-objective optimization based on the protection scheme of the power distribution network according to claim 1, wherein the step 2 is specifically: Adopting a graph theory principle, representing nodes of the power distribution network as vertexes, representing lines as edges, and constructing a node admittance matrix for describing a power grid topological structure; embedding a distributed power supply dynamic model and an energy storage charging and discharging constraint model in a demand side energy supply system model into a digital twin model for realizing electric interaction simulation of demand side resources and a power distribution network; And converting the protection setting model into an algorithm module which can be executed by simulation, and embedding the algorithm module into a protection module of the digital twin model for ensuring that protection action logic is consistent with actual equipment.
4. The method for multi-scenario simulation verification and multi-objective optimization based on the protection scheme of the power distribution network according to claim 1, wherein in the step 4, the evaluation index system comprises: The vulnerability reduction index is used for reflecting the risk resistance of the power distribution network; The protection setting performance index is used for reflecting the reliability of the protection device; the economic environment index is used for reflecting the comprehensive benefit of the scheme; the weight is determined by an analytic hierarchy process, and the method specifically comprises the following steps: And constructing a hierarchical structure, wherein the hierarchical structure comprises a target layer, a criterion layer and an index layer, scoring the relative importance of the criterion layer and the index layer by an expert to form a judgment matrix, and determining the weight of an evaluation index after consistency verification.
5. The method for multi-scenario simulation verification and multi-objective optimization based on the protection scheme of the power distribution network according to claim 4, wherein the step 5 specifically comprises: Step 5.1, integrating model parameters of a demand side energy supply system and protection setting model parameters into a chromosome individual by adopting binary coding; step 5.2, constraint conditions of a multi-target genetic algorithm are set, wherein the constraint conditions comprise electric power and electric quantity balance constraint, equipment capacity constraint and power grid safety constraint; Step 5.3, randomly generating a plurality of chromosome individuals, and carrying out genetic operation by taking the comprehensive evaluation value as an fitness function; Step 5.4, after iteration to the set threshold value, eliminating repeated solutions and solutions which do not meet constraint conditions to form a pareto optimal solution set; And 5.5, screening schemes meeting the constraint conditions of actual engineering in the optimal solution set, namely, the optimal combination of the protection scheme and the resource allocation at the demand side.
6. The multi-scenario simulation verification and multi-objective optimization method based on a power distribution network protection scheme according to claim 5, wherein the pareto optimal solution set is an optimal solution set meeting cost, reliability and environmental balance.
7. The method for multi-scenario simulation verification and multi-objective optimization based on a power distribution network protection scheme according to claim 5 or 6, wherein the actual engineering constraint conditions include investment cost constraint, power grid bearing constraint and operation and maintenance adaptation constraint.
8. The multi-scenario simulation verification and multi-objective optimization method based on the power distribution network protection scheme according to claim 1, wherein closed-loop feedback is further performed on the optimal combination, specifically: And importing the optimal combination into a digital twin model, performing simulation in a simulation environment, verifying whether the optimal combination meets a set constraint condition, if so, determining the optimal combination and performing floor-mounted execution, and if not, re-performing multi-objective genetic algorithm optimization, and adjusting weight or constraint condition for re-iteration until the optimal combination meets the requirement.

Description

Multi-scene simulation verification and multi-objective optimization method based on power distribution network protection scheme Technical Field The invention relates to the technical field of power system automation, in particular to a multi-scene simulation verification and multi-objective optimization method based on a power distribution network protection scheme. Background With the massive access of the resources at the demand side of the distributed power supply, the energy storage and the like, the working condition of the power distribution network is more complex, and the power distribution network is required to cope with the fluctuation of the output of the resources and often faces the compound disturbance of extreme weather and abrupt load change. The prior art has obvious defects in multi-scene simulation verification and multi-objective optimization: The simulation verification level focuses on single ideal working conditions such as rated load, fixed topology and the like, does not cover a composite disturbance scene, lacks randomness of scene parameters, is disjointed with an actual power grid, cannot verify the effectiveness of a protection scheme under the complex working conditions, and the optimization level mostly uses cost or reliability as a single target, adopts index weight to be set empirically, does not link the protection scheme with resource allocation on a demand side, is difficult to balance safety, economy and environmental multiple targets, and has poor suitability and low comprehensive benefit after the scheme falls to the ground. Disclosure of Invention The invention aims to overcome the defects that in the power distribution network protection and optimization in the prior art, simulation verification has single scene, lacks randomness and the model is disjointed with an actual power grid, and multi-objective optimization is difficult to balance safety, economy and environmental multi-objective, so that the scheme has poor adaptability and low comprehensive benefit after landing, and provides a multi-scene simulation verification and multi-objective optimization method based on a power distribution network protection scheme. The invention aims at realizing the following technical scheme: the multi-scene simulation verification and multi-objective optimization method based on the power distribution network protection scheme comprises the following steps: step1, acquiring multi-dimensional data of a power distribution network, wherein the multi-dimensional data comprises power distribution network topology and equipment parameters, a demand side energy supply system model parameter and a protection setting model parameter, and preprocessing the multi-dimensional data; step 2, constructing a digital twin model based on the preprocessed multidimensional data; step 3, presetting a plurality of scenes based on the running risk of the power distribution network, and generating scene variables through a random algorithm, constructing a simulation environment for each scene, starting a digital twin model to simulate in the simulation environment, and outputting a simulation result; Step 4, constructing an evaluation index system, determining weights by using an analytic hierarchy process, and weighting and calculating comprehensive evaluation values of simulation results; and 5, iteratively optimizing the protection scheme and the resource allocation at the demand side by adopting a multi-objective genetic algorithm by taking the comprehensive evaluation value as a target, and searching an optimal solution, wherein the optimal solution is the optimal combination of the protection scheme and the resource allocation at the demand side. Preferably, in the step 1, the multi-dimensional data is preprocessed, specifically: The method comprises the steps of adopting an isolated forest algorithm to remove abnormal values in topological parameters of the power distribution network and abrupt change points in working condition data, converting the format of multidimensional data into a format which is compatible with a digital twin model, and adding time stamp-geographical position labels to model parameters of a power supply system at a demand side and parameters of power distribution network equipment for avoiding data space-time dislocation during simulation. Preferably, the step 2 specifically includes: Adopting a graph theory principle, representing nodes of the power distribution network as vertexes, representing lines as edges, and constructing a node admittance matrix for describing a power grid topological structure; embedding a distributed power supply dynamic model and an energy storage charging and discharging constraint model in a demand side energy supply system model into a digital twin model for realizing electric interaction simulation of demand side resources and a power distribution network; And converting the protection setting model into an algorithm module which can