Weighted Capacity Fading Based Dynamic Battery Charging Algorithm for Energy Trading

The transition from conventional energy sources to distributed sources is inevitable. The bi-directional energy trading would play a crucial role in facilitating this transition. The paper proposes an energy transfer framework called Dynamic Battery Charging for energy trading between the grid and the end-user to utilize the battery system for generating monetary profit. Using the proposed energy transfer model the framework finds out the optimal battery charge state for the end-user. To further improve the performance of the framework, the DBC algorithm is clubbed together with a weighted capacity fading based battery cost model. The simulation results on the Ontario electricity market based load test case is enough to justify the utility of the proposed framework.