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作 者:张玉敏 尹延宾 吉兴全 叶平峰 孙东磊 宋爱全 ZHANG Yumin;Yin Yanbin;JI Xingquan;YE Pingfeng;SUN Donglei;SONG Aiquan(College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China;College of Energy Storage Technology,Shandong University of Science and Technology,Qingdao 266590,China;Economic&Technology Research Institute of State Grid Shandong Electric Power Company,Jinan 250021,China;Shandong Labor Vocational and Technical College,Jinan 250300,China)
机构地区:[1]山东科技大学电气与自动化工程学院,山东青岛266590 [2]山东科技大学储能技术学院,山东青岛266590 [3]国网山东省电力公司经济技术研究院,山东济南250021 [4]山东劳动职业技术学院,山东济南250300
出 处:《中国电力》2025年第2期88-102,共15页Electric Power
基 金:国家自然科学基金青年资助项目(52107111);中国博士后面上资助项目(2023M734092);山东省自然科学基金资助项目(ZR2022ME219)。
摘 要:可再生能源渗透率的不断提高使得系统净负荷的波动问题日渐突出,对系统运行提出了更高的灵活性要求。为此,提出了一种计及热网不同运行状态下灵活性供给能力的综合能源系统优化调度策略。首先,针对风电和负荷的不确定性,基于区间优化思想确定系统次小时运行灵活性需求;其次,通过剖析热负荷和电净负荷的4种变化关系对系统运行灵活性的影响,并计及热网动态特性下的热电联产机组上/下行灵活性供给机理,推导不同运行状态下的热网灵活性供给模型;然后,明晰储能装置充电、放电、非充非放等运行状态以及能量限额特性,推导储能提供次小时运行灵活性的数学模型,确立综合能源系统小时尺度优化调度决策和次小时运行灵活性约束间的协调关系,从而构建计及源-网-储多环节运行灵活性的IES优化调度模型;最后,以综合能源E6-H8和E57-H16系统为例进行测试,验证了该模型可以通过优化储能及热网灵活性资源,有效提高系统运行的灵活性。The increasing penetration of renewable energy sources has made the fluctuation of system net load increasingly prominent,posing higher flexibility requirements on system operation.To address this,an optimized dispatch strategy for integrated energy systems(IES)is proposed,taking into account the flexibility supply capacity under different operational states of the heating network.Firstly,based on interval optimization,the sub-hourly operational flexibility demand of the system is determined in response to the uncertainty of wind power and load.Secondly,by analyzing the impact of four types of changes in heat load and electrical net load on system operational flexibility and considering the upward/downward flexibility supply mechanism of combined heat and power units under dynamic heating network characteristics,a flexibility supply model for the heating network under different operational states is derived.Then,by clarifying the charging,discharging,and non-operating states of energy storage devices as well as their energy limit characteristics,a mathematical model for providing sub-hourly operational flexibility through energy storage is derived.A coordinated relationship between hourly-scale optimized dispatch decisions for the IES and sub-hourly operational flexibility constraints is established,thereby constructing an IES optimized dispatch model that takes into account the operational flexibility of multiple links including sources,networks,and storage.Finally,the proposed model is tested using the integrated energy E6-H8 and E57-H16 systems as examples,verifying that it can effectively improve system operational flexibility by optimizing energy storage and heating network flexibility resources.
关 键 词:综合能源系统 源-网-储 运行灵活性 优化调度 多时间尺度
分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]
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