Game Theory based Electric Price Tariff and Salp Swarm Algorithm for Demand Side Management

The emergence of Demand Response(DR) program optimizes the energy consumption pattern of customers and improves the efficacy of energy supply. The pricing infra structure of DR program is time-based rate where prices changed according to user usage. The variation in price rate is due to the consume electricity and extra generation cost. The main objective of DR is to encourage the consumer to shifts the peak load and get incentives in terms of cost reduction. Users who shift the load and who did not have to pay the same rate. In this work, game theory based pricing strategy is evaluated where each user have different price rates according to the consume energy during Shoulder-peak and On-peak hours. Moreover, to avoid peek formation during the Off-peak hours Salp swarm algorithm is used to schedule the home appliances. The experimental results prove the effectiveness of proposed pricing scheme as well proposed scheduling scheme.