基于Jaya算法的径向配电网风电DG优化配置提高技术、经济和社会效益

Anirban Chowdhury, R. Roy, K. Mandal
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引用次数: 0

摘要

由于R/X比较大,径向配电网的有功损耗高于输电网。化石燃料资源的枯竭是网络运营商日益关注的问题之一。来自化石燃料的有害污染物是对环境的主要威胁。因此,在这个能源危机时期,光伏、风能等可再生能源是很好的替代能源,可以满足能源需求。本文利用Jaya算法对风电综合径向配电网的电压稳定、经济性和排放约束多目标函数进行了改进。将风电分布式发电机(DG)注入标准IEEE 33总线和85总线测试系统的单点、双点和三点,并将结果与PSO及其不同变体进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Allocation of Wind Based DG for Enhancement of Technical, Economic and Social Benefits using Jaya Algorithm for Radial Distribution Networks
The active power losses in a radial distribution network are higher than transmission network due to high R/X ratio. The depletion of fossil fuel-based resources is one of the growing concerns for the network operators. The harmful pollutants from fossil fuels is a major threat to the environment. Thus, in this period of energy crisis, renewable energy resources like PV, wind are very good alternative to meet up energy demand. This paper presents improvement of a constrained multi-objective function based on voltage stability, economy and emission using Jaya Algorithm for wind energy integrated radial distribution network. Wind based distributed generators (DG) are injected at single, double and triple points of standard IEEE 33 bus and 85 bus test systems and the results have been compared with PSO and its different variants.
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