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Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network

机译：径向配电网中可再生能源DG和电容器组的最佳同时分配

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摘要

Nowadays the optimal allocation of distributed generation (DG) in the distribution network becomes the popular research area in restructuring of power system. The capacitor banks introduced in the distribution networks for reactive power compensation also have the capacity to minimize the real and reactive power losses occurred in the system. Hence, this research integrates the allocation of renewable energy DG and capacitor banks in the radial distribution network to minimize the real power loss occurred in the system. A two-stage methodology is used for simultaneous allocation of renewable DG and capacitor banks. The optimum location of renewable energy DG and capacitor banks is determined using the distributed generation sitting index (DGSI) ranking method and the optimum sizing of DG and capacitor banks is found out for simultaneous placement using weight improved particle swarm optimization algorithm (WIPSO) and self adaptive differential evolution algorithm (SADE). This two-stage methodology reduces the burden of SADE and WIPSO algorithm, by using the DGSI index in determining the optimal location. Hence the computational time gets reduced which makes them suitable for online applications. By using the above methodology, a comprehensive performance analysis is done on IEEE 33 bus and 69 bus RDNs and the results are discussed in detail.
机译：如今，配电网中分布式发电（DG）的最优分配已成为电力系统重组中的热门研究领域。在配电网络中引入的用于无功补偿的电容器组还具有将系统中发生的有功和无功损耗降至最低的能力。因此，本研究将可再生能源DG和电容器组的分配集成在径向配电网中，以最大程度地减少系统中发生的实际功率损耗。采用两阶段方法来同时分配可再生DG和电容器组。使用分布式发电坐着指数（DGSI）排序方法确定可再生能源DG和电容器组的最佳位置，并使用权重改进的粒子群优化算法（WIPSO）和自检方法找出可同时放置的DG和电容器组的最佳尺寸自适应差分进化算法（SADE）。通过使用DGSI索引确定最佳位置，此两阶段方法减轻了SADE和WIPSO算法的负担。因此，减少了计算时间，这使其适用于在线应用程序。通过使用上述方法，对IEEE 33总线和69总线RDN进行了全面的性能分析，并详细讨论了结果。

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