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Dynamic economic dispatch using Lbest-PSO with dynamically varying sub-swarms

机译:使用具有动态变化子群的Lbest-PSO进行动态经济调度

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摘要

Dynamic economic dispatch (DED) is one of the major planning problem in a power system. It is a non-linear optimization problem with various operational constraints, which includes the constraints of the generators operating characteristics and the system constraints. Its principal aim is to minimize the cost of power production of all the participating generators over a time horizon of 24 h, while satisfying the system constraints. This problem deals with non-convex characteristics if generation unit valve-point effects are taken into account. The paper intends to solve the DED problem with valve-point effects, using our modified form of Localbest variant of Particle Swarm Optimization (Lbest PSO) algorithm. We have tested our algorithm on 5-unit, 10-unit and 110-unit test system with non-smooth fuel cost functions to prove the effectiveness of the suggested method over different state of the art methods.
机译:动态经济调度(DED)是电力系统中的主要规划问题之一。这是一个具有各种运行约束的非线性优化问题,其中包括发电机运行特性的约束和系统约束。其主要目的是在满足系统约束的同时,将24小时内所有参与发电的发电成本降至最低。如果考虑发电单元的阀点效应,则该问题涉及非凸特性。本文打算使用改进的粒子群优化(Lbest PSO)算法的Localbest变体形式来解决带有阀点效应的DED问题。我们在具有非平滑燃料成本函数的5单元,10单元和110单元测试系统上测试了我们的算法,以证明所建议方法在不同技术水平下的有效性。

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