Application of fuzzy system theory in land use based long term distribution load forecasting

S.K. Padmakumari, K. Mohandas, D. Thiruvengadam
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引用次数: 11

Abstract

Power distribution planning for maximum consumer satisfaction and system efficiency requires an accurate estimate of the load for the different areas in a geographical region. The land use based method of distribution load forecasting considers the causes of electric load growth due to addition of customers in a service area, growth of per capita usage and proposed developments in a given area, etc. This paper presents an application of fuzzy system theory for modelling long term distribution load forecasting. The land use based forecasting method has three major modules, a global model, a spatial model and a load model. For each small area, the spatial model has two scores: land use demand score and land use suitability score. These scores, set in the conventional land use method using rule of thumb, are replaced by a method based on fuzzy set theory.
模糊系统理论在基于土地利用的长期配电网负荷预测中的应用
为了最大限度地提高用户满意度和系统效率,配电规划需要对地理区域内不同区域的负荷进行准确估计。基于土地使用的配电负荷预测方法考虑了电力负荷增长的原因,如服务区域内客户的增加、人均使用量的增长和给定区域内拟议的发展等。本文介绍了模糊系统理论在配电网长期负荷预测建模中的应用。基于土地利用的预测方法包括全局模型、空间模型和负荷模型三个主要模块。对于每个小区域,空间模型有两个得分:土地利用需求得分和土地利用适宜性得分。这些在传统土地利用方法中使用经验法则设置的分数被基于模糊集理论的方法所取代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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