Optimal energy scheduling strategy for multi-energy generation grid using multi-agent systems

Due to high environmental concerns and ever-increasing fossil fuel costs, generation of clean energy and its optimal management considering the demand side responses are very essential to upsurge the productivity and reliability of the distribution grids. Hence, a kind of distributed microgrid identified as multi-energy generation grid (MEGG) has been proposed in this paper. The anticipated MEGG integrated with renewable energy resources, fuel cells (FCs), an alternative grid-supporting generator (AGSG) connected with boiler, micro-turbine (MT), and thermal system, wastes burning power plant (WBPP), and energy storage system (ESS) that investigate the optimal resource management in a grid under various operational conditions to minimize the emissions and operational costs. The problem is supervised by agents-based technique considering the generation capabilities and demand side responses. The three-layered technique is presented for the distributed optimal resource management based on multi-agent systems (MAS) framework, where different agents operate and perform tasks autonomously. An optimal energy management scheduling strategy is accomplished considering actions that guarantee the maximum use of generated renewable energy, eradicate the excess use of WBPP and FC, minimize AGSG operational time, and full-load demands satisfaction during the entire day. Similarly, coordination between the MEGG and central power grid has also been accomplished for the purpose to exchange power. For validation, three scenarios have been presented which shows that the combined utilization of distributed energy resources can profusely generate electricity having less emissions, recover the generation costs in peak hours, and enhance the reliability of the entire grid.