计及出租车充电行为的微电网能量管理研究

Research on Energy Management of Microgrid with Consideration of Taxi Charging Behavior

针对可再生能源发电和电动汽车并网的不确定性给微电网运行的经济性和稳定性带来挑战,本文在设定不同充电场景的基础上,构建了考虑光伏发电和出租车充电不确定性的微电网经济运行模型,以最小化微电网总发电成本为目标,各分布式电源的功率限值与功率平衡为约束,采用混合粒子群优化算法进行求解,得到不同充电场景下各分布式电源的最优功率输出和系统在调度周期内的最低运行成本。优化结果表明,综合优化充电行为能提高孤立微电网的可调度性,使微电网的运行成本降低21.2%。

In view of the challenges to the economy and stability of micro-grid’s operation brought about by the uncertainty of renewable energy electricity generation and electric vehicles’ batteries connected to the grid,the economic operation model of micro-grid is constructed in this paper,on the basis of setting different charging scenes with consideration of the uncertainty of photovoltaic electricity generation and taxi charging. A simulation is conducted by adopting the hybrid particle swarm optimization algorithm to solve out the optimum power output of each distributed power source and the lowest operation cost of system in different charging scenes,with minimizing the total cost of electricity generation in micro-grid as objective,and the power limits of each distributed power source and power balance as constraints. The results of optimization show that comprehensively optimizing the charging behavior can enhance the dispatchability of the isolated micro-grid,reducing the operation cost of the micro-grid by 21.2%.