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A novel energy management system for modified zero energy buildings using multi-agent systems

Rising trend towards urbanization has resulted in the emergence of urban buildings as major energy consumers. This has increased the burden on the grid which may eventually result into severely interrupted power supply and outages. In order to assist the over-burdened grid, a modified concept of zero energy buildings (ZEBs), which consist of individual generation systems, has been developed. In order to minimize their grid-dependency, this paper modifies ZEBs and makes them self-sufficient by incorporating instantaneous power management techniques. Accordingly, a power management scheme for decentralized control of dispersed parameters which has been achieved through the technique of multiagent system (MAS). For the purpose of simulations, agent models have been developed using JAVA Agent Development Framework (JADE). Extensive simulations have been performed and results have been obtained for optimal power management and load scheduling using Genetic algorithm (GA).