Determination of Consumers’ Load Profiles based on Two-stage Fuzzy C-Means
نویسندگان
چکیده
Electricity industries throughout the world have been using load profiles for many years. Previously, in a regulated environment, load profiles have been employed to provide information for forecasting, system planning and demand side planning. However, in the deregulated environment, load profiles have become more significant. The determination of customer load profile may provide utility companies with better marketing strategies and improved efficiency in operating the current facilities. This paper presents a two-stage clustering technique to determine consumers load profiles on the basis of their electricity behaviour. Fuzzy c-means (FCM) is utilised in this work. The load data used in this work are from actual measurements from different feeders derived from a distribution network. Cluster validity indices will be used to determine the best cluster number.
منابع مشابه
NORHASNELLY ANUAR et al: CLUSTER VALIDITY ANALYSIS AND OPTIMIZATION OF FUZZIFICATION
Information from load profile is useful for electricity suppliers to plan their generation, improving their market strategies and load balancing. Consumers in the new liberalized market have the opportunity of choosing their electricity suppliers between several suppliers and the possibility to access to new products and services from them. Hence they need the knowledge of load profile to help ...
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