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考虑大规模分布式光伏开发与接入的变电站供区优化

吕若佳 林玲 叶承晋

电力系统及其自动化学报2025,Vol.37Issue(7):1-11,11.
电力系统及其自动化学报2025,Vol.37Issue(7):1-11,11.DOI:10.19635/j.cnki.csu-epsa.001554

考虑大规模分布式光伏开发与接入的变电站供区优化

Optimization of Substation Service Area Considering Development and Integration of Large-scale Distributed Photovoltaic

吕若佳 1林玲 2叶承晋1

作者信息

  • 1. 浙江大学电气工程学院,杭州 310027
  • 2. 国网浙江省电力有限公司经济技术研究院,杭州 310016
  • 折叠

摘要

Abstract

To meet the development,integration and accommodation demands of large-scale distributed photovoltaic(PV),a planning-oriented optimization method based on the graph theory and simulated operation is proposed for the division of substation service area.First,considering the temporal distribution characteristics and meteorological sensi-tivity,a load and PV output time series model based on public data is established.Then,the division of substation ser-vice area is abstracted into an integer programming plot classification problem.With an objective of minimizing the in-vestment cost and PV curtailment cost,a multi-voltage level power flow constraint of power grid with virtual medium-voltage feeders and access point is established,and a bi-level programming model based on the simulated operation of source-load time series is formed.In this way,the service area division scheme considering the source-load coupling complementary characteristics can be obtained.To ensure the spatial connectivity of the substation service area,a verifi-cation method based on the union-find set algorithm is put forward.With the combination of a genetic algorithm,the pro-posed bi-level programming model is solved heuristically.Finally,the effectiveness of the proposed method in terms of improving the PV accommodation is verified through a case study of the service area of seven actual substations.

关键词

变电站供区划分/分布式光伏/源荷序列/图论/并查集算法/遗传算法

Key words

division of substation service area/distributed photovoltaic(PV)/source-load time series/graph theory/union-find set algorithm/genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

吕若佳,林玲,叶承晋..考虑大规模分布式光伏开发与接入的变电站供区优化[J].电力系统及其自动化学报,2025,37(7):1-11,11.

基金项目

国家自然科学基金资助项目(52477131). (52477131)

电力系统及其自动化学报

OA北大核心

1003-8930

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