基于遗传算法和粒子群算法的径向配电系统现场发电优化分配

K. Rajesh, J. Rao
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摘要

在电力系统中,分布式发电(DG)的应用正在迅速扩大,因为它为许多配电系统的挑战提供了长期的解决方案,如电压管理和降低功率损耗。降低功率损耗对电力系统的经济高效运行至关重要。本文采用粒子群优化和遗传算法研究了现场发电的合适位置和规模,以降低配电网的功率损耗和改善电压分布。不能正确地找到DG位置可能对系统的效率产生相反的影响。适当的位置和尺寸对降低有功功率损耗和优化系统各母线电压,提高系统效率起着非常有效和重要的作用。在配电网潮流研究中,采用了正向-反向扫描方法。仿真结果表明,粒子群优化能最大程度地降低功率损耗。
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The optimal on-site generation allocation in a radial distribution system using GA and PSO
In electrical power systems the application of Distributed Generation (DG) is quickly expanding because it provides a long-term solution to many distribution system challenges, like Management of Voltage and reduction in power loss. Power loss reduction is critical to the cost-effective operation of a power system. This paper investigated the suitable location and size of on-site generation using an optimization approach i.e the Particle Swarm Optimisation (PSO) and Genetic algorithm with the objective of reducing power loss and enhancing the voltage profile in distribution networks. The inability to properly find the DG position may have a contrary influence on the system’s efficiency. Appropriate location and size play a very effective and vital function in boosting system efficiency by decreasing active power loss and optimising the voltage on each and every bus in the system. The forward-backward sweep method is used in distribution load flow research. The results of the simulation show that PSO can produce the largest reductions in power loss.
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