A fuzzy clustering approach to a demand response model

• Existing demand response models are summarized.
• A new demand response model is developed with fuzzy subtractive clustering techniques.
• The developed demand response model provides the management of controllable loads to consumer.
• The proposed model efficiently limits the consumption below the available power.
• Load shedding and valley filling can be achieved with the proposed demand response model.

This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers’ consumption needs and the appropriate load shape or rescheduling in order to achieve possible economic benefits. The model based on fuzzy subtractive clustering method considers clusters of domestic consumption covering an adequate consumption range. Analysis of different scenarios is presented considering available electric power and electric energy prices. Simulation results are presented and conclusions of the proposed demand response model are discussed.