A MOPSO method for Direct Load Control in Smart Grid

We model electricity demand of a city in a complex way including appliances and users.We propose a scalable real time method for managing the demand.We implement this method using a multi-objective criteria optimisation algorithm.A solution for managing loads is found within the time requirements.Demand can be reduced up to 20% by controlling three types of appliances. In recent years, power grids have been evolving to decentralised production and control. Direct Load Control (DLC) methods are oriented to manage loads on the demand side. A DLC method based on Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm is described. This method sets up the operation of the appliances when a power restriction must be accomplished. Since the method must operate in real-time, the calculations are distributed. The operation of appliances is obtained by dividing the power restriction among neighbourhoods and calculating multiple local optimisations. The method has been experimentally evaluated through simulations.