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实现跨日消纳风电的电储能日前优化调度策略

郭尚民 迟长煜 张娜 蒋海玮 衣锦 葛晟 吕泉

可再生能源2026,Vol.44Issue(4):514-522,9.
可再生能源2026,Vol.44Issue(4):514-522,9.

实现跨日消纳风电的电储能日前优化调度策略

Optimal dispatch strategy of electricity storage for realizing cross-day wind power accommodation

郭尚民 1迟长煜 2张娜 1蒋海玮 1衣锦 2葛晟 2吕泉2

作者信息

  • 1. 国网辽宁省电力有限公司经济技术研究院,辽宁 沈阳 110015
  • 2. 大连理工大学 电气工程学院,辽宁 大连 116024
  • 折叠

摘要

Abstract

In the high proportion of wind power system,wind power generation has significant intra-day volatility,and the existing electricity storage dispatch strategy based on the charging and discharging balance in the cycle cannot realize the cross-day consumption of wind power by electricity storage resources.Therefore,a solution strategy is proposed to convert the net storage energy of electric energy storage at the end of the day into equivalent coal consumption,which is deducted in the objective function of the optimal scheduling model,and the value range of the conversion coefficient of equivalent coal consumption is reasonably determined,so that the optimal scheduling can not only make full use of electric energy storage to store the surplus wind power in the day for the next day,but also avoid the storage of thermal power in the day.The example takes a provincial power system with complex power supply structure in the north as the object for calculation and analysis,and verifies the effectiveness of the proposed strategy for the cross-day consumption of wind power.Compared with the scheduling strategy of intra-day charging and discharging balance of electric energy storage,the wind power abandonment rate is effectively reduced.Compared with the scheduling strategy of power abandonment penalty,the cost and benefit of consumption are reasonably compromised,and the overall energy consumption of scheduling is lower.

关键词

电储能/风电弃电/跨日消纳/等效煤耗

Key words

electricity storage/wind power accommodation/cross-day coordination/equivalent coal consumption coefficient

分类

能源科技

引用本文复制引用

郭尚民,迟长煜,张娜,蒋海玮,衣锦,葛晟,吕泉..实现跨日消纳风电的电储能日前优化调度策略[J].可再生能源,2026,44(4):514-522,9.

基金项目

国网辽宁省电力有限公司科技项目(2023ZX-17). (2023ZX-17)

可再生能源

1671-5292

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