Dynamic Programming Method with GA for Optimal Power Flow in Micro-grid

The Micro-grids are the recent power solutions, as the need of power increases day by day. The micro-grid has many renewable energy resources built in. The renewable resources are not constant power sources. As the physical parameter varies the power generation also varied. To deliver the power from generation to load balanced, energy storage devices plays main role in it. The energy storage can be a battery or flywheel, for balanced power supply. The optimal power flow with the thermal systems or hydro-thermal combined systems solved usually with linear programming approach or gradient search procedure. But for the case of Microgrid, the power generation and consumption is based on the energy storage as it is used as the energy balancer. The energy storage elements changes the energy with respect to time. This makes the problem complex to solve using gradient search or linear programming. In this project the optimal power flow problem is solved with dynamic programming method and genetic algorithm (GA). with the inclusion of energy storage constraint, voltage limit, current limit and power limit. It optimizes the power flow at the point of common coupling between microgrid and the utility grid.