Implementation of MRPSO techniques on economic load dispatch problem considering various generator constraints

D. Maity, Sumit Baneijee, C. K. Chanda, Sabyasachi Samanta
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引用次数: 2

Abstract

This article presents moderate-random-search strategy PSO called MRPSO to solve both convex and non-convex economic load dispatch (ELD) problem of the thermal unit. Here transmission loss is not considered. The proposed methodology can take care of ELD problems considering nonlinearities such as valve point loading, ramp rate limits, prohibited zone etc. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints. The effectiveness of the proposed algorithms has been verified on different test systems with equality and inequality constraints. Compared with the other existing techniques demonstrates the superiority of the proposed algorithms.
考虑各种发电机约束的MRPSO技术在经济负荷调度问题中的实现
本文提出了一种求解机组凸型和非凸型经济负荷调度问题的中等随机搜索策略粒子群算法(MRPSO)。这里不考虑传输损耗。所提出的方法可以处理考虑非线性的ELD问题,如阀点加载、斜坡速率限制、禁区等。负荷经济调度的目标是在满足不同运行约束的情况下,确定机组的最优发电量以满足负荷需求,使发电总成本最小。在具有等式和不等式约束的不同测试系统上验证了所提算法的有效性。通过与其他现有技术的比较,证明了所提算法的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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