引用本文:吴鸣,郭美辰,卢俊达,郑楠,贾焦心,颜湘武.计及网络重构的旋转潮流控制器规划方法[J].电力自动化设备,2024,44(12):26-34.
WU Ming,GUO Meichen,LU Junda,ZHENG Nan,JIA Jiaoxin,YAN Xiangwu.Planning method of rotary power flow controller considering network reconfiguration[J].Electric Power Automation Equipment,2024,44(12):26-34.
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计及网络重构的旋转潮流控制器规划方法
吴鸣1, 郭美辰2, 卢俊达2, 郑楠1, 贾焦心2, 颜湘武2
1.国网上海能源互联网研究院有限公司,上海 201210;2.华北电力大学 河北省分布式储能与微网重点实验室,河北 保定 071003
摘要:
为了在配电网中合理配置旋转潮流控制器(RPFC),提出一种计及网络内重构的区域间基于RPFC的柔性互联方法,搭建兼顾网络经济性与可靠性的双层模型。规划层对RPFC的选址定容进行求解,运行层制定配电网的重构方案与RPFC运行策略,同时评估故障状态下的网络可靠性。利用RPFC调节区域间互联线路的传输功率,促进新能源消纳,并配合网络重构以充分发挥网络灵活性,降低所需配置RPFC容量。综合考虑网络运行成本、停电损失成本、RPFC投资成本,采用改进蚁狮优化算法与二阶锥规划混合算法对模型进行求解,实现规划-运行双层互动。以改进的IEEE 33节点与IEEE 22节点互联网络为算例进行仿真,验证所提模型的有效性。
关键词:  旋转潮流控制器  配电网重构  柔性互联  选址定容  运行优化  混合算法
DOI:10.16081/j.epae.202411002
分类号:TM715
基金项目:国家电网有限公司总部科技项目(5108-202218280A-2-227-XG)
Planning method of rotary power flow controller considering network reconfiguration
WU Ming1, GUO Meichen2, LU Junda2, ZHENG Nan1, JIA Jiaoxin2, YAN Xiangwu2
1.State Grid Shanghai Energy Internet Research Institute Co.,Ltd.,Shanghai 201210, China;2.Hebei Provincial Key Laboratory of Distributed Energy Storage and Microgrid, North China Electric Power University, Baoding 071003, China
Abstract:
In order to rationally configure the rotary power flow controller(RPFC) in the distribution network, a RPFC-based flexible interconnection method between regions is proposed considering the network reconfiguration, and a two-layer model considering the network economy and reliability is built. In the planning layer, the siting and sizing of RPFC are solved. In the operation layer, the reconfiguration scheme of distribution network and the operation strategy of RPFC are formulated, and the network reliability under fault condition is evaluated. RPFC is used to adjust the transmission power of inter-regional interconnection lines to promote the consumption of new energy, and in addition, cooperate with network reconfiguration to give full play to the network flexibility and reduce the required RPFC capacity. Considering the network operation cost, power outage loss cost and RPFC investment cost, the model is solved by the hybrid algorithm of improved ant lion optimization algorithm and second-order cone programming to realize the two-layer interaction between planning and operation. Taking the improved IEEE 33-bus and IEEE 22-bus interconnection network as an example for simulation, the effectiveness of the proposed model is verified.
Key words:  rotary power flow controller  distribution network reconfiguration  flexible interconnection  siting and sizing  operational optimization  hybrid algorithm

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