基于双突变技术的入侵杂草优化动态经济调度

Renu Sharma, N. Nayak, K. R. Krishnanand, P. Rout
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引用次数: 14

摘要

动态经济调度是电力系统运行和控制的主要功能之一。它确定了在一段时间内具有预测负载需求的机组的最佳运行,目标是在系统在斜坡速率限制内运行时最小化总生产成本。本文提出了一种基于入侵杂草优化(IWO)技术的DED方法,用于确定全局或近全局最优调度方案。在本例中,结合了负载平衡约束、操作限制、阀点负载、斜坡约束和使用损耗系数的网络损耗。最后给出了一个10单元的测试系统的数值结果,验证了该方法的性能和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modified invasive weed optimization with dual mutation technique for dynamic economic dispatch
Dynamic economic dispatch (DED) is one of the main functions of power system operation and control. It determines the optimal operation of units with predicted load demands over a certain period of time with an objective to minimize total production cost while the system is operating within its ramp rate limits. This paper presents DED based on Invasive Weed Optimization (IWO) technique for the determination of the global or near global optimum dispatch solution. In the present case, load balance constraints, operating limits, valve-point loading, ramp constraints, and network losses using loss coefficients are incorporated. Numerical results for a sample test system (10-unit) have been presented to demonstrate the performance and applicability of the proposed method.
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