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计及碳减排收益的光储联合电站参与电力市场投标策略研究 被引量:5

Bidding Strategy of Photovoltaic Storage Union Power Station Considering Benefits of Carbon Emission Reduction
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摘要 双碳目标给光伏发电企业带来了巨大的发展机遇。针对光储联合电站参与日前电力市场展开研究。先基于β分布对光伏出力的不确定性进行建模,在考虑碳减排收益的基础上,建立了以光储联合电站在能量市场、辅助服务市场以及碳交易市场的收益总和最大为目标函数的数学模型。使用改进的动态规划算法进行求解,得到联合电站参与日前电力市场的最优功率申报结果。算例结果表明,采用光储联合投标方式并同时参与电力市场和碳交易市场,可以促进光伏电量的消纳,提升电站的收益水平。 The dual carbon goal has brought huge developing opportunities to the photovoltaic power generation enterprises. This paper studies the bidding plan formulation of the photovoltaic storage union power station participating in the power market. Firstly, the uncertainty of the photovoltaic output is modeled based on the β distribution. Considering the benefits of carbon emission reduction, a mathematical model is established to maximize the sum of the benefits of photovoltaic storage combined with the power station in the energy market,the ancillary service market and the carbon trading market. We use the improved dynamic programming algorithm to solve the problem and obtain the optimal power declaration result of the joint power station participating in the day-ahead power market. The calculation results show that the adoption of the joint bidding method of photovoltaic storage to participate in the electricity market and carbon trading market at the same time can promote the absorption of photovoltaic power and improve the income level of the power station.
作者 王秀丽 赵凤江 刘豹 闫璐 高本锋 樊金龙 WANG Xiuli;ZHAO Fengjiang;LIU Bao;YAN Lu;GAO Benfeng;FAN Jinlong(School of Electric Power,Civil Engineering and Architecture,Shanxi University,Taiyuan 030013,Shanxi Province,China;School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,Hebei Province,China;Guoneng Shanxi Energy Sales Co.,Ltd.,Taiyuan 030000,Shanxi Province,China)
出处 《电网技术》 EI CSCD 北大核心 2022年第11期4208-4216,共9页 Power System Technology
基金 国家自然科学基金项目(11802166) 山西省青年自然科学基金项目(20210302124553)。
关键词 光储联合电站 日前电力市场 收益模型 碳交易 photovoltaic storage union power station day-ahead power market revenue model carbon trading
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