实时电价下含换电站的孤立微电网双层优化调度

Optimization of Isolated Micro-grid Scheduling with Battery Switching Station for Electric Vehicles

电动汽车电池交换站与孤立微电网作为不同的经济实体,由两者的经济联系建立双层调度模型。孤立微电网作为上层模型的决策者,通过使其成本最低为目标函数,制定与下层交易的实时电价;换电站为下层模型,根据实时电价制定自身充放电计划,使其自身收益最大化。通过改进的遗传算法对上、下层问题求解,得到实时电价和换电站的充放电计划,实现两者的利益最大化。算例分析表明,该算法验证了所提模型的有效性及合理性。

As different economic entities,a two-layer dispatching model is established based on the economic relationship between electric vehicle battery switching station and isolated microgrid.As the decision maker of the upper model,the isolated microgrid establishes the real-time electricity price traded with the lower layer by minimizing its cost as the objective function.As the lower model,the electrical changing station makes its own charging and discharging plan according to the real-time electricity price to maximize its own income.The improved genetic algorithm is used to solve the upper and lower problems,and the real-time electricity price and the charging and discharging plan of the electrical changing station are obtained to maximize the benefits of both.A numerical example shows that this algorithm verifies the validity and rationality of the model.