基于完全收敛粒子群优化的动态联合经济排放负荷调度

Devinder Kumar, N. K. Jain, Nangia Uma
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引用次数: 0

摘要

在不影响输电系统能量损失和运行参数的情况下,确定多个发电设施在短期内的最佳性能,以尽可能低的成本实现电力预测,从而满足系统需求,称为最优电力调度。功率平衡约束、发电机限制、排放调度约束和阀点效应是运行约束的几个实例。为了同时管理目标函数和操作约束,本研究提出了完全收敛粒子群优化算法,该算法在连续给出优秀的最优解方面优于现有文献中的各种算法。本文研究了3台、10台和13台发电机的动态试验机组系统。为了准确有效地动态分配功率,还考虑了阀点负载、有无排放、禁止操作区域和输电线路功率损耗的影响。
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Dynamic Combined Economic Emission Load Dispatch Using Perfectly Convergent Particle Swarm Optimization
Determining the optimum performance from a number of power producing facilities in the short term to fulfil system demand with the aim of power forecasting at the lowest cost possible subject to transmission systems energy losses and operating parameters, is known as optimal power dispatch. Power balance constraints, generator limits, emission dispatch constraints, and valve point effects are a few instances of operational constraints. In order to manage the objective function and the operational constraints simultaneously, the proposed Perfectly Convergent Particle swarm optimization has been suggested in this research which outperformed various algorithms from recent literature in consistently giving excellent optimal solutions. The three dynamic test unit systems with three, ten and thirteen generators are considered in this article. For the accurate and efficient dynamic distribution of power, the effects of valve point loading, with or without emissions, prohibited operating zones and transmission line power loss are also taken into account.
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