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作 者:方宇晨 赵书强[1] FANG Yuchen;ZHAO Shuqiang(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Changping District,Beijing 102206,China)
机构地区:[1]新能源电力系统国家重点实验室(华北电力大学)
出 处:《中国电机工程学报》2020年第1期39-49,共11页Proceedings of the CSEE
基 金:国家重点研发计划项目(2017YFB0902200);国家电网公司科技项目(5228001700CW)~~
摘 要:聚光型太阳能热发电(concentrating solar power,CSP)技术被认为是最具发展前景的可再生能源利用技术之一,其在不增加系统不确定性的前提下,利用蓄热系统(thermal energy storage,TES)使太阳能成为可调度资源。同时,CSP电站具有灵活的调节特性,将其与风电相结合,可以降低系统出力的不确定性并提高可再生能源的消纳能力。该文分析CSP电站的储能特性,建立CSP电站与风电场联合优化运行及竞价模型。该模型对CSP电站各组成部分进行较为详细的建模,计及可再生能源出力和市场价格不确定性的影响。为了提高电力系统的灵活性并增加联合系统的经济收益,考虑CSP电站在参与辅助服务市场竞价的同时为风电场提供平抑出力波动的备用容量。最后,通过算例对模型的有效性进行验证,并分析说明联合竞价策略相较于单独竞价策略的优势。As the most promising renewable energy utilization technologies,concentrating solar power(CSP)utilizes thermal energy storage(TES)to make solar energy a scheduling resource without increasing uncertainty of the system.At the same time,the CSP plant has flexible regulation characteristics,which can cooperate with wind power to reduce the uncertainty of output and improve the consumption capacity of renewable energy.This paper analyzed the energy storage characteristics of the CSP plant and established a joint optimal operation and bidding model for CSP plants and wind farms.The model illustrates the components of the CSP plant in detail and takes into account the effects of renewable energy output and market price uncertainty.In order to increase the flexibility of the power system and the revenue of the joint system,the CSP plant was assumed to participate in the auxiliary service market bidding and providing the reserve capacity for the wind farm to counteract the output fluctuations.Finally,the validity of the model was verified by the case study,and the advantages of the joint bidding strategy were illustrated through the comparison with the single bidding strategy.
关 键 词:光热电站 可再生能源 电力市场 辅助服务:优化运行
分 类 号:TM73[电气工程—电力系统及自动化]
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