In order to investigate the impact of electric vehicles’ charging-discharging behaviour and demand side response resources on the economic operation of photovoltaic grid-connected microgrid system, a multi-objective model of microgrid economic dispatching with electric vehicles, transferable load and other distributed generations (diesel engines and energy storage unit) is proposed in this paper. The model takes the comprehensive operating cost of microgrid, the utilization rate of photovoltaic energy and the power fluctuation between the microgrid and main grid as objectives. Moreover, four different cases of microgrid economic dispatch considering electric vehicles and transferable load are put forward, which are electric vehicles’ orderly charging and discharging and transferable load participating in demand response in Case 1, electric vehicles’ charging randomly and the transferable load participating in demand response in Case 2, electric vehicles orderly charging and discharging and transferable load not participating in demand response in Case 3, electric vehicles’ charging randomly and the transferable load not participating in the demand response in Case 4. Multi-objective Seeker Optimization Algorithm and the method of fuzzy membership function are applied in this study to obtain the optimal results. The simulation analysis shows that the orderly charging-discharging behaviour of electric vehicles and the participation of transferable load can effectively improve the economic costs, efficiency and security of microgrid economic operation.

为了研究电动汽车的充放电行为和需求侧响应资源对光伏并网微电网系统经济运行的影响，建立了电动汽车，可转移负荷等分布式发电微电网经济调度的多目标模型。本文提出了（柴油机和储能单元）。该模型以微电网的综合运行成本，光伏能源的利用率以及微电网与主电网之间的功率波动为目标。此外，提出了考虑电动汽车和可转移负荷的微电网经济调度的四种不同情况，即案例1中电动汽车的有序充放电和可转移负荷参与需求响应。案例2中电动汽车的随机充电和可转移负荷参与需求响应案例3中电动汽车的有序充电和放电以及可转移负荷不参与需求响应，案例3在案例4中。本研究应用多目标搜索器优化算法和模糊隶属度函数方法来获得最佳结果。仿真分析表明，电动汽车的有序充放电行为和可转移负荷的参与可以有效提高微电网经济运行的经济成本，效率和安全性。案例3中电动汽车的有序充放电和可转移负荷不参与需求响应，案例4中电动汽车的随机充电和可转移负荷不参与需求响应。多目标搜索优化算法和模糊隶属函数方法在这项研究中应用以获得最佳结果。仿真分析表明，电动汽车的有序充放电行为和可转移负荷的参与可以有效提高微电网经济运行的经济成本，效率和安全性。案例3中电动汽车的有序充放电和可转移负荷不参与需求响应，案例4中电动汽车的随机充电和可转移负荷不参与需求响应。多目标搜索优化算法和模糊隶属函数方法在这项研究中应用以获得最佳结果。仿真分析表明，电动汽车的有序充放电行为和可转移负荷的参与可以有效提高微电网经济运行的经济成本，效率和安全性。本研究采用多目标搜索优化算法和模糊隶属度函数的方法获得最优结果。仿真分析表明，电动汽车的有序充放电行为和可转移负荷的参与可以有效提高微电网经济运行的经济成本，效率和安全性。本研究采用多目标搜索优化算法和模糊隶属度函数的方法获得最优结果。仿真分析表明，电动汽车的有序充放电行为和可转移负荷的参与可以有效提高微电网经济运行的经济成本，效率和安全性。