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1.中国农业大学信息与电气工程学院,北京市 100083
2.清华大学电机工程与应用电子技术系,北京市 100084
张璐(1990—),男,博士,副教授,主要研究方向:交直流混联配电网、极端灾害下配电网恢复。E-mail:zhanglu1@cau.edu.cn
许彪(1996—),男,硕士研究生,主要研究方向:交直流混联配电网。E-mail:gbxubiao@163.com
唐巍(1971—),女,通信作者,博士生导师,主要研究方向:主动配电网、大规模光伏消纳技术。E-mail:wei_tang@cau.edu.cn
收稿日期:2021-06-08,
修回日期:2021-07-26,
网络出版日期:2021-10-20,
纸质出版日期:2021-12-25
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张璐,许彪,唐巍等.基于功率时空协同的交直流混合配电网调度计划日内修正策略[J].电力系统自动化,2021,45(24):106-114.
ZHANG Lu,XU Biao,TANG Wei,et al.Intra-day Correction Strategy of Dispatching Plan for AC/DC Hybrid Distribution Network Based on Spatio-Temporal Power Coordination[J].Automation of Electric Power Systems,2021,45(24):106-114.
张璐,许彪,唐巍等.基于功率时空协同的交直流混合配电网调度计划日内修正策略[J].电力系统自动化,2021,45(24):106-114. DOI: 10.7500/AEPS20210608001.
ZHANG Lu,XU Biao,TANG Wei,et al.Intra-day Correction Strategy of Dispatching Plan for AC/DC Hybrid Distribution Network Based on Spatio-Temporal Power Coordination[J].Automation of Electric Power Systems,2021,45(24):106-114. DOI: 10.7500/AEPS20210608001.
交直流混合配电网既可通过配置在线路间的电压源换流器(VSC)实现功率在空间维度上的灵活转移,还可通过配置在系统中的储能实现功率在时间维度上的灵活转移。对此,提出一种基于功率时空协同的交直流混合配电网调度计划日内修正策略,通过VSC与储能的协调优化实现资源的时空互补,有效应对负荷与新能源的随机波动。在优化模型中,采用灵敏度方法简化常规潮流约束,并引入支路损耗变化量修正线性灵敏度法的近似误差,保证了功率潮流约束的准确性,显著提高了求解效率。最后,通过仿真算例验证了所提方法的有效性。
AC/DC hybrid distribution network can realize the flexible transfer of power through voltage source converters (VSCs) in space dimension. In the meantime
the energy storage configuration in the system can realize the power transfer in time dimension. An intra-day correction strategy of optimal dispatching plan for AC/DC hybrid distribution network considering the coordination of spatio-temporal power regulation is proposed. In the intra-day correction
the coordinated optimization of VSCs and energy storage is utilized to effectively cope with the random fluctuations of the loads and renewable energy resources. In the optimization model
the sensitivity method is used to simplify the conventional power flow constraints
and the variation of branch loss is introduced to correct the approximate error of the linear sensitivity method
to ensure the accuracy of power flow constraints and significantly improve the solving efficiency. Finally
the effectiveness of the proposed method is verified by simulation cases.
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