Particle swarm optimization based demand response for residential consumers

This paper presents particle swarm optimization (PSO) based demand response (DR) methodology that helps to flatten the load curve of power distribution system. Load shifting DR technique is used to alter the load curve of the system. This article mainly focuses on the importance of DR studies for residential consumers that help the distribution utilities to reduce both peak load and their operational cost. A case study of DR implementation on electricity distribution system is carried out using non conventional optimization technique such as PSO. Results so obtained using proposed algorithm has been compared with genetic algorithm and are found encouraging.