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A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect

机译:具有阀点效应的经济负荷分配的改进粒子群算法

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This paper presents a new approach for solution of the economic load dispatch (ELD) problem with valve-point effect using a modified particle swarm optimization (MPSO) technique. The practical ELD problems have non-smooth cost function with equality and inequality constraints, which make the problem of finding the global optimum difficult when using any mathematical approaches. In this paper, a modified particle swarm optimization (MPSO) mechanism is proposed to deal with the equality and inequality constraints in the ELD problems through the application of Gaussian and Cauchy probability distributions. The MPSO approach introduces new diversification and intensification strategy into the particles thus preventing PSO algorithm from premature convergence. To demonstrate the effectiveness of the proposed approach, the numerical studies have been performed for three different test systems, i.e. six, thirteen and forty generating unit systems, respectively. The results shows that performance of the proposed approach reveal the efficiently and robustness when compared results of other optimization algorithms reported in literature.
机译:本文提出了一种使用改进的粒子群优化(MPSO)技术解决具有阀点效应的经济负荷分配(ELD)问题的新方法。实际的ELD问题具有带有等价和不等式约束的不平稳的成本函数,这使得在使用任何数学方法时难以找到全局最优值的问题。本文提出了一种改进的粒子群优化(MPSO)机制,通过应用高斯和柯西概率分布来处理ELD问题中的等式和不等式约束。 MPSO方法将新的多样化和强化策略引入到粒子中,从而防止了PSO算法过早收敛。为了证明所提出方法的有效性,已经对三个不同的测试系统,即分别为六个,十三个和四十个发电单元系统进行了数值研究。结果表明,与文献中报道的其他优化算法的比较结果相比,所提出方法的性能显示了高效性和鲁棒性。

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