Research on Optimal Allocation of Multi-energy Complementary Micro-grids

To meet the economic operation requirements of multi-energy complementary micro-grids, an optimization configuration method aiming at the lowest average daily cost of the system is proposed. A micro-grid model including wind power generation, photovoltaic power generation and energy storage is constructed. The costs of wind power generation, photovoltaic power generation, energy storage, grid transactions and compensated controllable loads are incorporated. Key constraints such as energy storage charging and discharging and power balance are considered. The genetic algorithm is used to solve the proposed nonlinear model. The results of the case study show that the optimized scheme can effectively reduce the user's electricity bill.