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兼顾技术性和经济性的储能辅助调峰组合方案优化

黎静华 汪赛

电力系统自动化2017,Vol.41Issue(9):44-50,150,8.
电力系统自动化2017,Vol.41Issue(9):44-50,150,8.DOI:10.7500/AEPS20170121003

兼顾技术性和经济性的储能辅助调峰组合方案优化

Optimal Combined Peak-shaving Scheme Using Energy Storage for Auxiliary Considering Both Technology and Economy

黎静华 1汪赛1

作者信息

  • 1. 广西电力系统最优化与节能技术重点实验室(广西大学), 广西壮族自治区南宁市 530004
  • 折叠

摘要

Abstract

The high proportion of renewable energy generation connected with the grid has brought great pressure to the peak-shaving of electric power systems.Using energy storage for auxiliary peak-shaving is an effective way to solve this problem.However, the high cost of energy storage limits its large-scale application.To make full use of the peak-shaving function of the limited energy storage and reduce the load demand for energy storage capacity, this paper proposes a practical method to develop the combination of energy storage and normal, deep, given oil and start-stop regulation ways for peak-shaving.The calculation models of the technical index based on the probability of lack of peak load and the economic index based on the annual cost of peak-shaving are developed.The curved surfaces of technical and economic indices of the combined peak-shaving scheme are built.The combined peak-shaving scheme at the junction of technical and economic curved surfaces is the optimal one under different renewable energy penetration levels.Finally, with the regional grid and the national planning power system with wind and solar power as examples, optimal combined peak-shaving schemes under different renewable energy penetration levels are made.

关键词

储能/组合调峰/技术性指标/经济性指标/可再生能源并网

Key words

energy storage/combined peak-shaving scheme/technical index/economic index/renewable energy grid-connection

引用本文复制引用

黎静华,汪赛..兼顾技术性和经济性的储能辅助调峰组合方案优化[J].电力系统自动化,2017,41(9):44-50,150,8.

基金项目

国家重点研发计划资助项目(2016YFB0900101) (2016YFB0900101)

国家自然科学基金资助项目(51377027).This work is supported by National Key Research and Development Program of China (No.2016YFB0900101) and National Natural Science Foundation of China (No.51377027). (51377027)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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