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Stability constrained optimal distribution system reconfiguration considering uncertainties in correlated loads and distributed generations

机译:考虑相关负荷和分布式发电的不确定性的稳定性约束的最优配电系统重构

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This paper proposes a small signal stability constrained distribution system reconfiguration (DSR) methodology under uncertainties associated with the load demand and the power output of the renewable energy based distributed generation. Further, the correlation among the uncertain load demand and among the uncertain DG power output has also been considered. This DSR problem is formulated for minimising real power loss, number of switching operations as well as maximizing the voltage stability margin. This formulation takes into consideration the system's probabilistic operational constraints such as maximum limit on line current, minimum and maximum limits on bus voltage magnitude, radiality of distribution system and probabilistic small signal stability constraint. A KnEA-PE approach, consisting of a knee point driven method and 3 point estimation method, is then utilized to solve this DSR problem. The effectiveness and feasibility of presented formulation has been tested on IEEE 33-bus, 69 bus and 119-bus distribution systems. The obtained results are compared with those obtained by the multi-objective NSGA-II-based method.
机译:本文提出了一种基于不确定性的小信号稳定性约束配电系统重构(DSR)方法,该方法与基于可再生能源的分布式发电的负荷需求和功率输出相关。此外,还考虑了不确定的负载需求之间和不确定的DG功率输出之间的相关性。制定此DSR问题是为了最大程度地减少实际功率损耗,切换操作次数以及最大程度地提高电压稳定性裕度。此公式考虑了系统的概率性操作约束,例如线路电流的最大限制,总线电压幅值的最小和最大限制,配电系统的半径以及概率性小信号稳定性约束。然后,采用由拐点驱动方法和三点估计方法组成的KnEA-PE方法来解决该DSR问题。所提出的配方的有效性和可行性已在IEEE 33总线,69总线和119总线配电系统上进行了测试。将获得的结果与通过基于多目标NSGA-II的方法获得的结果进行比较。

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