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Particle swarm optimization for economic dispatch with line flow and voltage constraints power generation scheduling

机译:具有电网流量和电压约束的经济调度的粒子群优化发电调度

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This paper presents an efficient and reliable evolutionary based approach to solve the economic load dispatch (ELD) with lineflows and voltage constraints The proposed approach employ a particle swarm optimization (PSO) algorithm for ELD. The incorporation of a type 1 PSO, as a derivative-free optimization technique in solving ELD with voltages and lineflow constraints, significantly relieves the assumptions imposed on the optimized objective function. The proposed approach has been tested on three representative systems, i.e. IEEE 14 bus, IEEE 30 bus and IEEE 57 bus systems respectively. The feasibility of the proposed method is demonstrated and the results are compared with linear programming, quadratic programming and genetic algorithms respectively. The developed algorithms are computationally faster than the other methods.
机译:本文提出了一种有效且可靠的基于进化的方法来解决带有线流和电压约束的经济负荷分配(ELD)。该方法采用了一种粒子群优化(PSO)算法进行ELD。在解决具有电压和线路流约束的ELD时,作为无导数优化技术的类型1 PSO的加入,大大减轻了施加于优化目标函数的假设。所提出的方法已经在三个代表性的系统上进行了测试,即分别为IEEE 14总线,IEEE 30总线和IEEE 57总线系统。证明了该方法的可行性,并将结果分别与线性规划,二次规划和遗传算法进行了比较。所开发的算法在计算上比其他方法更快。

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