赵冬梅, 王迎辉, 魏中庆, 郑亚锐. 考虑韧性提升的配电网多资源多目标规划[J]. 华北电力大学学报(自然科学版), 2023, 50(4): 1-9.
引用本文: 赵冬梅, 王迎辉, 魏中庆, 郑亚锐. 考虑韧性提升的配电网多资源多目标规划[J]. 华北电力大学学报(自然科学版), 2023, 50(4): 1-9.
ZHAO Dongmei, WANG Yinghui, WEI Zhongqing, ZHENG Yarui. Multi-resource and Multi-objective Planning of Distribution Network Considering Resilience Improvement[J]. Journal of North China Electric Power University, 2023, 50(4): 1-9.
Citation: ZHAO Dongmei, WANG Yinghui, WEI Zhongqing, ZHENG Yarui. Multi-resource and Multi-objective Planning of Distribution Network Considering Resilience Improvement[J]. Journal of North China Electric Power University, 2023, 50(4): 1-9.

考虑韧性提升的配电网多资源多目标规划

Multi-resource and Multi-objective Planning of Distribution Network Considering Resilience Improvement

  • 摘要: 为提高配电网配置资源的综合效益,提出了一种考虑韧性提升的配电网多资源多目标规划方法。首先,考虑多资源在多种情况下的运行方式和协调方法,建立了多目标的两阶段随机规划模型。在第一阶段就线路加固、储能系统(energy storage system, ESS)布置和联络开关布置做出决策,在第二阶段,将正常、单重线路故障、紧急情况下的运营、可靠性和失负荷成本降低,以实现投资成本与综合目标的折衷。其次,采用阈值法对极端事件下线路损坏的不确定性量化以生成线路损坏的典型场景,模型采用混合整数二阶锥规划求解,最后,在改进的IEEE33节点算例上验证了所提规划方法的有效性,结果表明,面向配电网经济性、可靠性和韧性的多资源规划方法能够有效降低配电网的综合成本,实现投资效益的最大化。

     

    Abstract: In order to improve the comprehensive benefit of allocating resources in distribution network, a multi-resource and multi-objective planning method for distribution network considering resilience improvement was proposed. Firstly, a multi-objective two-stage stochastic programming model was established considering the operation mode and coordination method of multi-resources in various situations. Decisions were made on line reinforcement, energy storage systems(ESS) placement, and tie breaker placement in the first phase, and in the second phase, operating, reliability, and loss-of-load costs in normal, fault, and emergency situations were reduced to the lowest to achieve a compromise between investment cost and comprehensive goals. Secondly, the threshold method was used to quantify the uncertainty of line damage under extreme events to generate typical scenarios of line damage, and the mixed integer second-order cone programming was used to solve the problem. Finally, the effectiveness of the proposed planning method was verified on the improved IEEE33 node example. The results show that the multi-resource planning method oriented to the economy, reliability and resilience of the distribution network can effectively reduce the comprehensive cost of the distribution network and maximize investment returns.

     

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