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作 者:张亚健 陈茨 薛飞 马丽[3] 郑敏[1] ZHANG Yajian;CHEN Ci;XUE Fei;MA Li;ZHENG Min(School of Mechatronic Engineering and Automation,Shanghai University,Shanghai 200444,China;Electric Power Research Institute of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan 750000,China;Dongli Power Supply Branch of State Grid Tianjin Electric Power Company,Tianjin 300000,China)
机构地区:[1]上海大学机电工程与自动化学院,上海200444 [2]国网宁夏电力有限公司电力科学研究院,宁夏银川750000 [3]国网天津市电力公司东丽供电分公司,天津300000
出 处:《中国电力》2024年第8期23-35,共13页Electric Power
基 金:国家自然科学基金青年项目(62103254);国网江苏省电力有限公司科技项目(J2021203)。
摘 要:针对传统配电网电压控制方法存在的调节资源有限、调控成本较高、响应速度较慢等问题,提出一种利用电制氢(power to hydrogen,P2H)辅助的两阶段电压随机优化控制策略。首先,在建立P2H装置在内的调压设备运行约束以及配电网线路约束的基础上,建立了考虑电解制气收益的日前-日内两阶段电压优化控制模型。其次,针对分布式能源出力和负荷需求日内短时扰动引发的电压波动甚至越限问题,基于拉丁超立方抽样与Kantorovich距离削减技术构建了配电网典型运行场景,并以各场景下日内阶段目标函数期望最小为目标求解电压控制策略。算例结果表明,所提方法相比于不考虑P2H辅助的常规电压控制方案,有效避免了电压越限问题,并且总控制成本降低了26.43%。To address the problems such as limited regulation resources,high regulation costs,and slow response speed in traditional distribution network voltage control methods,a two-stage stochastic optimal control strategy with participations of power-tohydrogen(P2H)devices is investigated.Firstly,voltage regulation device operation constraints and distribution network line constraints are modeled.Then a two-stage day-ahead and intra-day voltage optimal control model is developed considering electrolytic gas production revenue.Secondly,to deal with the voltage fluctuations or even over-limitation problem caused by shortterm disturbances of renewables and load demands,typical operation scenarios of distribution networks are constructed by adopting Latin hypercube sampling and Kantorovich distance reduction techniques.Then the voltage control strategy is solved by minimizing the expectation of intraday-stage objective functions under all scenarios.Finally,case studies have shown that compared with the traditional voltage methods without considering P2H participations,the voltage over-limitation can be effectively avoided and the total regulation costs can be reduced by over 26.43% by using the proposed method.
关 键 词:电制氢 配电网 协调电压控制 随机优化 不确定性
分 类 号:TM615[电气工程—电力系统及自动化]
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