Microgrid is a subsystem comprises of distributed generator (DG) s, non-conventional generators, storage devices and controllable loads. Microgrids are one of the centers for penetration of non-conventional energy resources, storage backup and management of distribution generation units. It results reduction in costs, emission gases, transmission & distribution losses and also conventional energy crisis. Simply it is highly reliable and ecofriendly. In this paper, we present a study of Model Predictive control (MPC) Approach using mixed integer linear programming (MILP) technique while satisfying operational constraints and a time varying requests. MILP technique is used to formulate the Overall optimization problem and commercial solvers are used for substantial improvements in solution quality and computational burden. To assess the performance of the online optimization-based control strategy a microgrid case study is employed and the simulation results are discussed. A modification for above case study was done by considering uncertainties of non-conventional energy. During uncertainties to meet the critical load demand, DG Units are increased. The results show the effectiveness and feasibility of the proposed approach.

Results of a literature survey done on optimization of generation thought that there is plenty of research study. With the depletion of conventional energy sources and increasing of load demand, there is a need of alternative energy sources, therefore non-conventional energy sources and distribution generation technologies continue to gain popularity. As nonconventional energy sources are intermittent, complete dependence on these sources also makes us to face difficulties such as availability of the electricity generated, weather conditions, cost of the equipment, reliability, power quality, voltage profile etc MG, which is a cluster of distributed generation sources, storages and loads that cooperate together in order to improve the power supply reliability, power quality and overall power system stability. It also integrates the advantages of power generation from alternative energy and non-conventional energy power generation systems connected to the grid. This paper presents different optimization techniques developed in recent days for minimization of cost, over emissions and curtailment of loads.