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基于源-荷运行模式划分的微电网经济运行随机优化方法

周航 马立红 李中中 王海生 李思凡 张昌俊 符林贝

浙江电力2025,Vol.44Issue(6):69-81,13.
浙江电力2025,Vol.44Issue(6):69-81,13.DOI:10.19585/j.zjdl.202506007

基于源-荷运行模式划分的微电网经济运行随机优化方法

A stochastic optimization method for economic microgrid operation based on"source-load operation"mode classification

周航 1马立红 1李中中 1王海生 1李思凡 1张昌俊 1符林贝1

作者信息

  • 1. 海南电网有限责任公司,海口 570203
  • 折叠

摘要

Abstract

The volatility of renewable energy output and the randomness of user-side electricity consumption behav-ior have led to increasing source-load uncertainties,posing significant operational risks to microgrids.To address this issue,an economic operation decision-making method for microgrids based on source-load operation mode clas-sification is proposed to achieve economic operation under uncertain conditions.First,a multivariate time series rep-resentation based on information granules is used,and the traditional affinity propagation(AP)is improved with spatial weighted matrix distance(SWMD).A multivariate time series clustering algorithm is applied to quantify cor-relations between variable dimensions,enabling the classification of microgrid operation modes.Second,a source-load probabilistic forecasting model for the target day is established using similar-day data under the same operation mode,and typical source-load forecasting scenarios are obtained through scenario generation and reduction.Fi-nally,the adaptive weighted particle swarm optimization(AW-PSO)is employed to solve the stochastic optimiza-tion model for microgrid operations.Case study results show that the proposed method effectively handles source-load uncertainties while reducing operational costs.

关键词

源荷不确定性/多变量时间序列聚类/自适应权重粒子群优化算法/微电网经济运行

Key words

source-load uncertainty/multivariate time series clustering/AW-PSO/economic microgrid operation

引用本文复制引用

周航,马立红,李中中,王海生,李思凡,张昌俊,符林贝..基于源-荷运行模式划分的微电网经济运行随机优化方法[J].浙江电力,2025,44(6):69-81,13.

基金项目

国家重点研发计划(2021YFB1507100) (2021YFB1507100)

中国南方电网有限责任公司科技项目(070000KK52210030) (070000KK52210030)

浙江电力

1007-1881

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