采用SAW、WP、AHP和PROMETHEE多准则决策技术进行发电优化评价

Javeed Kittur
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引用次数: 24

摘要

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。本文讨论了简单加性加权法(SAW)、加权积法(WP)和富集评价偏好排序组织法(PROMETHEE)多准则决策技术等不同的方法来评价某一天的最优发电量。采用层次分析法(AHP)对权重的选取进行了验证。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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Optimal generation evaluation using SAW, WP, AHP and PROMETHEE multi - criteria decision making techniques
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 discusses different methods like Simple Additive Weighting (SAW) method, Weighted Product (WP) method and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) multi-criteria decision making technique to evaluate the optimal generation of a particular day. The Analytic Hierarchy Process (AHP) method is used to verify the weights' selections. The results obtained by the multi-criteria evaluation using the presented methods, gives the possibility of identification and evaluation of the optimal generation in a particular day.
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