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风光储联合发电站与电力用户的电能直接交易模型

孙书鑫 宋朋飞 乔颖 李佳明 鲁宗相

可再生能源2024,Vol.42Issue(9):1237-1245,9.
可再生能源2024,Vol.42Issue(9):1237-1245,9.

风光储联合发电站与电力用户的电能直接交易模型

Direct transaction model for wind-solar-storage combined power station and power users

孙书鑫 1宋朋飞 2乔颖 1李佳明 1鲁宗相1

作者信息

  • 1. 清华大学 电机工程与应用电子技术系,北京 100084
  • 2. 国网新疆电力有限公司,新疆 乌鲁木齐 830008
  • 折叠

摘要

Abstract

With the continuous improvement of the accuracy of renewable energy and load forecasting,the direct transaction of electric energy between wind-solar-storage combined power station and power users has become feasible.Considering the impacts of direct transaction of electric energy on the system operation,a consumption model with direct transaction of electric energy between wind-solar-storage system and power users is established.The model aims to maximize the total social benefits.The power output constraints of direct power purchase contracts and the related operation constraints of the energy storage are introduced to the traditional model.At the same time,it makes adjustments to the constraints of total power purchase contracts,and adds the wheeling cost and contracts reduction penalties to weigh the comprehensive benefits brought by direct-power-purchasing to the system.Combined with the generated clustering scenario,the day-ahead optimization results of the wind-solar-storage power station are analyzed through a numerical example,and the influence of the contract power limit factor and penalty factor on the quantity of direct purchase power and the total social benefits is studied.The impact of electricity price on the profit balance is analyzed with the Nash bargaining model,which verifies the feasibility and rationality of the proposed model.

关键词

电能直接交易/场景聚类/日前优化/合同电量限制因子/惩罚因子

Key words

direct transaction of electric energy/scene clustering/day-ahead dispatching/contract power limit factor/penalty factor

分类

能源科技

引用本文复制引用

孙书鑫,宋朋飞,乔颖,李佳明,鲁宗相..风光储联合发电站与电力用户的电能直接交易模型[J].可再生能源,2024,42(9):1237-1245,9.

基金项目

国家电网有限公司总部科技项目(5419-202040493A-0-0-00). (5419-202040493A-0-0-00)

可再生能源

OA北大核心CSTPCD

1671-5292

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