用拉格朗日方法比较分析多准则电力系统调度问题的最小-最大和最大-最大价格惩罚因子方法

S. Krishnamurthy, R. Tzoneva
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引用次数: 21

摘要

发电经济调度问题的目标是在满足系统相等和不相等约束的情况下,对承诺发电机组的出力进行调度,以满足所需的负荷需求。本文采用拉格朗日方法,采用最小-最大和最大-最大价格惩罚因子方法求解了组合经济排放调度问题。联合经济排放调度(CEED)的价格惩罚因子是燃料成本与排放价值的比值。文献报道大多采用Max-Max价格惩罚因子求解CEED问题。本文分析了CEED问题的最小-最大和最大-最大价格惩罚因素。解决了具有6台发电机组的ieee30总线系统的CEED问题。与最大-最大价格惩罚因子法相比,采用最小-最大价格惩罚因子法求解组合经济排放调度问题的总燃料成本更小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative analyses of Min-Max and Max-Max price penalty factor approaches for multi criteria power system dispatch problem using Lagrange's method
The objective of the economic dispatch problem of electrical power generation is to schedule the committed generating unit's output so as to meet the required load demand while satisfying the system equality and inequality constraints. This paper solves the combined economic emission dispatch problem by using Min-Max and Max-Max price penalty factor approaches using Lagrange's method. The price penalty factor for the combined economic emission dispatch (CEED) is the ratio of fuel cost to emission value. The literature papers reported that most of them use Max-Max Price penalty factor for the CEED problem. This paper analyses Min-Max and Max-Max price penalty factors for CEED problem. This CEED problem is solved for the IEEE 30 bus system with six generating units. The total fuel cost of the combined economic emission dispatch problem is less by using Min-Max price penalty factor approach in comparison to Max-Max price penalty factor.
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