Determination of Optimum Real Time Price Patterns for Demand Response Application


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Abstract


Many economists are convinced that real time pricing (RTP) programs are the most direct and efficient demand response (DR) programs suitable for competitive electricity markets and should be the focus of policy makers. So, it is more efficient for a company to define suitable RTPs. For this purpose, it is necessary that RTP patterns follow load profiles of customers. In this paper, a new method for determination of optimum real-time-price patterns is proposed. This method uses pattern-based clustering technique to achieve the best typical load profile of customers. Thereby, RTPs are determined using extracted typical load profiles.
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Keywords


Clustering Technique; Demand Response Programs; Improved Weighted Fuzzy Average K-Means; Real Time Pricing; Typical Load Profile

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References


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