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An analysis of economic load dispatch with prohibited zone and ramp-rate limit constraints using different algorithms

机译:使用不同算法对具有禁区和斜率限制约束的经济负荷分配进行分析

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The economic load dispatch (ELD) plays an important role in power system operation and control. Different techniques have been used to solve these problems. Recently, the soft computing techniques have widely used in practical applications. This paper shows successful implementation of four evolutionary algorithms, namely particle swarm optimization (PSO), particle swarm optimization with constriction factor approach (PSOCFA), particle swarm optimization with inertia weight factor approach (PSOIWA) and particle swarm optimization with constriction factor and inertia weight factor approach (PSOCFIWA) algorithms are used to economic load dispatch problem. Here prohibited zone and ramp-rate limit constraints are considered to solve this problem. Power output of each generating unit and optimum fuel cost obtained using all four algorithms have been compared.
机译:经济负荷分配(ELD)在电力系统的运行和控制中起着重要作用。已经使用不同的技术来解决这些问题。近来,软计算技术已经在实际应用中广泛使用。本文展示了四种进化算法的成功实现,即粒子群优化(PSO),采用收缩因子方法的粒子群优化(PSOCFA),采用惯性权重因子方法(PSOIWA)的粒子群优化以及采用收缩因子和惯性权重的粒子群优化因子方法(PSOCFIWA)算法用于经济负荷分配问题。此处考虑禁止区域和斜坡速率限制约束来解决此问题。比较了使用所有四种算法获得的每个发电机组的功率输出和最佳燃料成本。

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