基于细菌觅食-粒子群优化的传输拥塞管理

M. Mandala, C. P. Gupta
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引用次数: 8

摘要

提出了一种基于细菌觅食粒子群优化(BFPSO)的电力市场最优拥堵管理方法。所建议的工作的目的是尽量减少与首选事务调度的偏差,从而减少拥塞成本。为了降低拥塞成本,考虑了发电机无功支持。利用传输拥塞分配系数(TCDFs)的值来选择重调度发电机。为了说明问题,给出了ieee30总线和ieee118总线测试系统的数值结果,并将结果与粒子群算法(PSO)在求解质量方面进行了比较。综合实验结果证明,BFPSO是具有挑战性的优化方法之一,确实能够为所提出的问题获得更高质量的解。
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Transmission Congestion Management Using Bacterial Foraging- Particle Swarm Optimization
This paper proposes an optimal congestion management approach in a deregulated electricity market using Bacterial foraging particle swarm optimization (BFPSO). The aim of the proposed work is to minimize deviations from preferred transaction schedules and hence the congestion cost. Generator reactive power support is considered to lower the congestion cost. The values of Transmission Congestion Distribution factors (TCDFs) are used to select redispatch generators. Numerical results on test systems namely IEEE 30 bus and IEEE 118 bus systems are presented for illustration purpose and the results are compared with Particle swarm optimization (PSO) in terms of solution quality. The comprehensive experimental results prove that the BFPSO is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.
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