Unscented Transform-Based Efficient Energy Management System of a Microgrid for Optimal Heat Power Dispatch

With the development of microgrid technology, combined heat power (CHP) dispatch becoming a popular preference for reducing cost and to meet the increased load demand in microgrid system. This research work intends to focus on uncertainty modeling of renewable energy sources and load using unscented transform (UT) technique. Moreover due to a new entity like CHP units having non-linear and non-convex characteristics, the operation management becomes more complex during the energy scheduling. Hence a meta-heuristic technique has been implemented to find the optimal operation cost under an efficient Energy Management Scheme (EMS). The velocity-update mechanism-based modified Particle Swarm Optimization (PSO) has been introduced to improve high search precision over stochastic solution and to deal with premature convergence. Statistical analysis has been shown in order to reflect effectiveness of proposed algorithm implemented in the microgrid with CHP integrated system.