径向配电网中可再生能源DG和电容器组同步优化配置

Sivasangari Rajeswaran, K. Nagappan
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引用次数: 7

摘要

当前,分布式发电在配电网中的优化配置问题已成为电力系统重构中的研究热点。在配电网中引入的用于无功补偿的电容器组也具有将系统中实际和无功损耗降到最低的能力。因此,本研究将可再生能源DG和电容器组在径向配电网中进行整合配置,以最大限度地减少系统的实际功率损耗。采用两阶段方法同时分配可再生DG和电容器组。采用分布式发电坐下指数(DGSI)排序法确定可再生能源DG和电容器组的最优位置,采用加权改进粒子群优化算法(WIPSO)和自适应差分进化算法(SADE)确定DG和电容器组的最优尺寸。这种两阶段方法通过使用DGSI指数来确定最优位置,减轻了SADE和WIPSO算法的负担。因此,减少了计算时间,使其适合在线应用。利用上述方法,对IEEE 33总线和69总线rdn进行了全面的性能分析,并对结果进行了详细讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimum Simultaneous Allocation of Renewable Energy DG and Capacitor Banks in Radial Distribution Network
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.
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