Fuzzy-statistical assessment of a global power quality index for competitive electricity market

Abstract

Restructuring and deregulation in power system market result in growing attention to power quality (PQ) issues. Along with the increment of disturbing loads in the power system, the effect on network that is brought by the power quality problems, become increasingly serious. Existing PQ indices are usually isolated and lack the cost impact of bad power quality. This paper presents a method based on mathematical statistics and fuzzy logic to obtain a quantitative global index for PQ evaluation and pricing in competitive electricity market. Taking into account the cost of PQ phenomena with their relative weights in this index, it can be used as a PQ measure in electricity tariffs by utility companies. The method provides some basis for contract's subscribing in the future. Advantage of the method is its consistency which gives a useful and unique measure of quality of electricity for both supply side and customer side. The proposed algorithm has been implemented on real measured data of a distribution network. Results show the capability of this method to obtain an accurate measure for PQ evaluation and pricing. © 2010 Praise Worthy Prize S.r.l. - All rights reserved.