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首页> 外文期刊>International journal of electrical and power engineering >Dynamic Economic Load Dispatch of Thermal Power System Genetic Algorithm
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Dynamic Economic Load Dispatch of Thermal Power System Genetic Algorithm

机译：火力系统动态经济负荷调度的遗传算法

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摘要

Economic Load Dispatch (ELD) problem is one of the most important problems to be solved in the operation and planning of a power system. The main objective of the economic load dispatch problem is to determine the optimal schedule of output powers of all generating units so as to meet the required load demand at minimum operating cost while satisfying system equality and inequality constraints. This study presents an application of Genetic Algorithm (GA) for solving the ELD problem to find the global or near global optimum dispatch solution. The proposed approach has been evaluated on 26-bus, 6-unit system with considering the generator constraints, ramp rate limits and transmission line losses. The obtained results of the proposed method are compared with those obtained from the Conventional Lambda Iteration Method and Particle Swarm Optimization (PSO) Technique. The results show that the proposed approach is feasible and efficient.
机译：经济负荷分配（ELD）问题是电力系统的运行和规划中要解决的最重要问题之一。经济负荷分配问题的主要目的是确定所有发电机组输出功率的最佳计划，以便在满足系统平等和不平等约束的同时，以最小的运行成本满足所需的负荷需求。这项研究提出了遗传算法（GA）在解决ELD问题中寻找全局或接近全局最优调度解决方案的应用。在考虑发电机约束，斜坡率限制和传输线损耗的情况下，已对26总线，6单元系统进行了评估。将所提出的方法的结果与从常规Lambda迭代方法和粒子群优化（PSO）技术获得的结果进行比较。结果表明，该方法是可行和有效的。

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