张璐, 李晨语, 蔡永翔, 张筱慧, 唐巍, 陈颖. 考虑潮流越限风险的柔性交流配电网融冰优化策略[J]. 电力系统自动化, 2022, 46(16): 160-169.
引用本文: 张璐, 李晨语, 蔡永翔, 张筱慧, 唐巍, 陈颖. 考虑潮流越限风险的柔性交流配电网融冰优化策略[J]. 电力系统自动化, 2022, 46(16): 160-169.
ZHANG Lu, LI Chenyu, CAI Yongxiang, ZHANG Xiaohui, TANG Wei, CHEN Ying. Optimal De-icing Strategy for Flexible AC Distribution Network Considering Risk of Power Flow Over Limit[J]. Automation of Electric Power Systems, 2022, 46(16): 160-169.
Citation: ZHANG Lu, LI Chenyu, CAI Yongxiang, ZHANG Xiaohui, TANG Wei, CHEN Ying. Optimal De-icing Strategy for Flexible AC Distribution Network Considering Risk of Power Flow Over Limit[J]. Automation of Electric Power Systems, 2022, 46(16): 160-169.

考虑潮流越限风险的柔性交流配电网融冰优化策略

Optimal De-icing Strategy for Flexible AC Distribution Network Considering Risk of Power Flow Over Limit

  • 摘要: 针对当前配电线路覆冰情况多发、过负荷融冰易出现潮流越限的问题,文中充分考虑智能软开关(SOP)的灵活调节能力和移动融冰装置(MDID)的机动性,提出一种配电网多时段融冰策略优化方法。首先,基于热平衡方程和气象数据刻画融冰过程中的覆冰厚度变化规律。其次,考虑交通网对MDID移动时长影响,以线路断线和潮流越限风险最小为目标,建立了基于SOP过负荷融冰和MDID路径调度协调配合的配电网双层优化模型,采用精英保留的遗传算法对模型进行求解。最后,采用手拉手IEEE 33节点配电网和114节点配电网进行算例分析。仿真结果验证了所提方法的有效性。

     

    Abstract: In view of the problem that distribution network lines are covered with ice frequently and the overload de-icing is prone to power flow over limit,the flexible adjustment ability of the soft open point (SOP) and the mobility of the mobile de-icing device(MDID) are fully considered in this paper.An optimization method of multi-time de-icing strategy in the distribution network is proposed.Firstly,the variation pattern of ice-cladding thickness during de-icing is depicted based on the heat balance equation and meteorological data.Secondly,the influence of the transportation network on the MDID movement time is considered.To minimize the risk of line breakage and power flow over limit,this paper establishes a bi-level optimization model of the distribution network based on the coordinated cooperation of SOP overload de-icing and MDID path scheduling.The model is solved using an elite-preserving genetic algorithm.Finally,the analysis is carried out by using the hand-in-hand IEEE 33-bus distribution network and 114-bus distribution network.Simulation results verify the effectiveness of the proposed method.

     

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