多类型储能参与的调峰模型及其优化调度策略
摘要:为了实现“碳达峰”和“碳中和”战略目标，中国电网将逐步建设成为一个以新能源为主、多类型电源共存的绿色智慧电网。然而，传统常规电源有限的调峰能力难以满足未来电力系统接入高比例新能源后的调峰需求，制约了新能源的消纳能力，并降低了系统运行的安全性与经济性。因此，需要构建抽水蓄能、电化学储能、电动汽车(electric vehicle, EV)虚拟储能等多类型储能模型，并结合某省级电力系统4种典型场景和极端场景，在现有储能调峰辅助服务补偿机制基础上提出站在调度机构角度下的最优调峰效益模型。通过对某省级电网历史数据进行仿真验证，证明该模型在减少火电机组频繁启停、提升调峰经济性方面发挥着积极作用，促进未来新型电力系统的经济性和安全性运行。
Abstract：In order to achieve the strategic goals of "carbon peak" and "carbon neutral", China's power grid will gradually be built into a green smart grid with new energy as the main power source and multiple types of power sources coexisting. However, the limited peak regulation capacity of traditional conventional power sources is difficult to meet the peak regulation demand of the future power system after accessing high proportion of new energy, which restricts the absorption capacity of new energy and reduces the safety and economy of system operation. Therefore, it is necessary to build multiple types of energy storage models, such as pumped storage, electrochemical energy storage, and electric vehicle virtual energy storage. Combined with four typical scenarios and extreme scenarios of a provincial power system, an optimal peak regulation efficiency model from the perspective of dispatching agency is proposed based on the existing energy storage peak regulation auxiliary service compensation mechanism. Through simulation verification using historical data from a provincial power grid, it has been demonstrated that this model plays a positive role in reducing frequent start-stop cycles for thermal power units and improving economic efficiency in peak regulation. This promotes both economic viability and safe operation for future advanced electricity systems.
标题：多类型储能参与的调峰模型及其优化调度策略
title:Multitype Energy Storage Participation Peak Load Regulation Model and Its Optimal Scheduling Strategy
作者：谢代钰,李宏洲,陈标,李培恺,李光明,代伟
authors:XIE Daiyu,LI Hongzhou,CHEN Biao,LI Peikai,LI Guangming,DAI Wei
关键词：多类型储能,深度调峰,优化调度,调峰补偿机制,新能源消纳,
keywords:multitype energy storage,depth peak regulation,optimized scheduling,peak load compensation mechanism,new energy consumption,
发表日期：2024-05-15
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