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Optimal siting and sizing of DG in Radial Distribution System and identifying fault location in Distribution System integrated with Distributed Generation

机译:径向分布系统中DG的最佳选址和大小确定以及与分布式发电集成的分布式系统中的故障定位

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The Distribution Companies (DISCOs) encourage the electricity market by introducing Distributed Generators (DGs) as the ancillary service for its significant benefits in loss reduction. The major issue in this process is the selection of appropriate size and location of DG in improving the performance of distribution systems. This means that the improper sizing and placing may reverse the beneficial factor of DG. Thus, the paper is proposed with a methodology to determine the optimal size and location of DG with an objective of reducing energy loss. The major contribution of this paper revolves with identifying location for DG based on Voltage Stability Index (VSI), impact of placing DG with random size in locations identified by VSI, identifying optimal DG size with feasible location using Particle Swarm Optimization (PSO) algorithm. Faults in the power distribution systems are considered to be the main contributor to the supply interruption and are responsible for poor service continuity indices. A methodology based on IMPEDANCE-BASED METHOD is presented for exact fault location. This proposed technique is tested and verified on IEEE 12 bus Radial Distribution System (RDS). The result shows the substantial reduction of total energy and importance of identifying optimal size and location for placing DG and also identifies the exact fault location.
机译:配电公司(DISCO)通过引入分布式发电机(DGs)作为辅助服务来鼓励电力市场,因为它可以减少损失。此过程中的主要问题是选择适当的DG大小和位置,以改善配电系统的性能。这意味着尺寸和放置不当可能会逆转DG的有利因素。因此,本文提出了一种方法来确定DG的最佳尺寸和位置,目的是减少能量损失。本文的主要贡献在于基于电压稳定指数(VSI)识别DG的位置,将随机大小的DG放置在由VSI识别的位置中的影响,使用粒子群优化(PSO)算法识别具有可行位置的最佳DG大小。配电系统中的故障被认为是造成电源中断的主要因素,并且是导致服务连续性指标差的原因。提出了一种基于基于阻抗的方法的方法,用于精确的故障定位。这项提议的技术已在IEEE 12总线径向分配系统(RDS)上进行了测试和验证。结果表明,总能量的显着降低以及确定用于放置DG的最佳尺寸和位置的重要性,并且还确定了确切的故障位置。

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