Multiagent Genetic Algorithm: An Online Probabilistic View on Economic Dispatch of Energy Hubs Constrained by Wind Availability

摘要: Multiple energy carriers (MECs) have been broadly engrossing power system planners and operators toward a modern standpoint in studies. Energy hub, though playing an undeniable role as the intermediate implementing MECs, still needs to be put under examination both modeling operating concerns. Since wind continues one of fastest-growing resources worldwide, its intrinsic challenges should also treated element crucial vision future networks. In response, this paper aims concentrate on online economic dispatch (ED) MECs for which it provides probabilistic ED optimization model. The presented model is via robust technique, i.e., multiagent genetic algorithm (MAGA), whose outstanding feature find well global optima problem. once constrained by availability, cases input faces inevitable uncertainty that probabilistically overcome proposed Efficiently approached MAGA, scheme applied test systems equipped with hubs expected, introduces applicability robustness problems.