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Modified differential evolution based reactive power dispatch involving multilateral power transactions in deregulated power scenario

机译:基于修改的差分演进基于偶然的电力调度,涉及解除管制电力方案中的多边电力交易

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This paper considered reactive power dispatch (RPD) issue with multilateral power transaction in the backdrop of deregulated power scenario. RPD problem is solved for the real power loss minimization aspect including stable voltage profile. In the deregulated power environment power transaction is an important phenomenon which represents power transfer between supplier and utility or load center under the guidance of competent authority. Here IEEE 30 bus system is considered as test case to solve RPD issue involving multilateral power transactions. During the power transaction period voltage level imbalance, current flow and power loss enhancement are observed which indicated network congestion. Shunt capacitors and superconducting magnetic energy storage (SMES) devices are utilized for the handling of congestion via Var compensation. The optimal size of the proposed Var compensators along with the other control variables is decided by the Modified Differential Evolution (MDE) techniques. The MDE based minimum power loss is obtained as 13.51 MW which is much improved than the other evolutionary programming method based result. The results of the paper are therefore proved to be quite encouraging.
机译:本文考虑了在解除管制权力场景背景下的多边电力交易的无功功率调度(RPD)问题。 RPD问题解决了包括稳定电压分布的实际功率损耗最小化方面。在解调的电力环境中,电力交易是在主管当局的指导下代表供应商与效用或负载中心之间的动力转移的重要现象。这里IEEE 30总线系统被认为是解决涉及多边电力交易的RPD问题的测试用例。在电力交易周期期间,观察到电流流量和功率损耗增强,其指示网络拥塞。并联电容器和超导磁能存储(SMES)器件用于通过VAR补偿处理充血。所提出的VAR补偿器的最佳尺寸随着改进的差分进化(MDE)技术决定。基于MDE的最小功率损耗获得为13.51兆瓦,比基于其他进化的结果的结果得到了多大改善。因此证明了论文的结果非常令人鼓舞。

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