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

机译:使用不同算法与斜率限制约束的经济负载调度分析

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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. Here ramp-rate limit constraints are considered to solve this problem. Here three cases have been considered. Four algorithms have been applied for each case. Optimum fuel cost is taken from each algorithm is compared for each cases (Case study I, II and III).
机译:经济负担调度(eld)在电力系统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。最近,软计算技术已广泛用于实际应用。本文显示了四种进化算法,即粒子群优化(PSO),用收缩因子方法(psocfa),粒子群,具有惯性重量因子方法(PsoIwa)和粒子群优化,粒子群优化与收缩因子和惯性重量的粒子群优化因子方法(psocfiwa)算法。这里认为斜率限制约束被认为是解决这个问题。在这里已经考虑了三种情况。为每种情况施加了四种算法。对每种情况进行比较的每种算法采用最佳燃料成本(案例研究I,II和III)。

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