Using the PROMETHEE and TOPSIS multi-criteria decision making methods to evaluate optimal generation

Javeed Kittur
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引用次数: 7

Abstract

In the present day scenario the energy demand is going on increasing. It is expensive to import electricity from the generation far from load centers because of the cost of power loss. It is therefore more economical to use electricity generated by local distributed generators. In this paper power generation from wind, Combined Heat Power (CHP) and utility for a complete day is considered. This paper proposes a method to evaluate the optimal generation of a particular day considering Analytic Hierarchy Process (AHP) method, Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) multi-criteria decision making technique. The results obtained by the multi-criteria evaluation using the presented method, gives the possibility of identification and evaluation of the optimal generation in a particular day.
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采用PROMETHEE和TOPSIS多准则决策方法对最优发电方案进行评价
在目前的情况下,能源需求正在不断增加。从远离负荷中心的发电厂进口电力,由于电力损失的成本,是昂贵的。因此,使用本地分布式发电机发电更为经济。本文考虑了风力发电、热电联产和公用事业的全天发电。本文提出了一种综合层次分析法(AHP)、富集评价偏好排序组织法(PROMETHEE)和理想解相似偏好排序法(TOPSIS)多准则决策技术的特定日最优发电评价方法。利用所提出的方法进行多准则评价的结果,为某一天的最优发电提供了识别和评价的可能性。
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