作者: Jose Evora , Jose Juan Hernandez , Mario Hernandez
DOI: 10.1016/J.ESWA.2015.05.056
关键词:
摘要: We model electricity demand of a city in complex way including appliances and users.We propose scalable real time method for managing the demand.We implement this using multi-objective criteria optimisation algorithm.A solution loads is found within requirements.Demand can be reduced up to 20% by controlling three types appliances. In recent years, power grids have been evolving decentralised production control. Direct Load Control (DLC) methods are oriented manage on side. A DLC based Multi-Objective Particle Swarm Optimisation (MOPSO) algorithm described. This sets operation when restriction must accomplished. Since operate real-time, calculations distributed. The obtained dividing among neighbourhoods calculating multiple local optimisations. has experimentally evaluated through simulations.