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
随着可再生能源和负荷预测精度的不断提升,风光储联合发电站和电力用户之间的电能直接交易具有了可行性.文章建立了风光储电站和电力用户之间电能直接交易的消纳模型.该模型以社会总效益最大化为目标,在传统模型的基础上,加入直购电合同中的电功率约束和储能相关运行约束,同时对于签订的总合同电量约束做出调整,并加入过网费和削减合同,惩罚权衡直购电量给系统带来的综合效益.结合生成的场景聚类,通过算例分析了风光储电站的日前优化结果,研究了合同电量限制因子、惩罚因子对直购电量和总社会经济效益的影响,结合纳什议价模型分析直购电价对利润均衡度的影响,验证了模型的实用性与有效性.
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引用本文复制引用
基金项目
国家电网有限公司总部科技项目(5419-202040493A-0-0-00)
出版年
2024
国家科技期刊平台
NSTL
万方数据