摘要
随着光伏发电和电动汽车的快速发展,电网的安全和经济运行受到了更多的关注,开展关于能量管理问题的研究有助于保证电网的稳定和高效运行。文中针对并网模式下计及电动汽车和光伏—储能的微网能量管理问题,研究了根据电动汽车电池的荷电状态进行能量管理的功率计算模型,提出了兼顾光伏出力、电动汽车充放电功率、电网电价时段划分及储能能量状态的能量管理策略。在此基础上,建立了以电动汽车充放电功率为优化变量,以减少微网运行费用为目标的能量管理模型,并采用基于遗传算法与粒子群算法的混合优化算法(GAPSO)进行求解。最后以实际微网为例进行仿真,结果验证了所述方法的有效性和可行性。
With the rapid development of photovoltaic and electric vehicles(EVs),the security and economical operation of power systems is drawing greater attention,while research on energy management is beneficial to its stable and efficient operation.According to energy management of microgrids considering EVs and photovoltaic(PV)-energy storage in the gridconnected mode,the energy characteristics and the method of power calculation of EVs considering each EVs state of charge(SOC)are studied first.A strategy with the power of PV and EVs,the period division of time of use price and the SOC of energy storage taken into account is then proposed.On this basis,an energy management model is developed to reduce the operation cost,while the power of EVs is used as optimization variables.The method based on the hybrid genetic algorithm and particle swarm optimization(GAPSO)algorithm is used for solution.Finally,the simulation results of an example show the effectiveness and feasibility of the proposed model.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第9期164-171,共8页
Automation of Electric Power Systems
基金
国家国际科技合作专项项目(2013DFA60930)
中央高校基本科研业务费专项资金资助项目(2010JBZ002)~~
关键词
电动汽车
光伏发电
储能
微网(微电网)
能量管理
electric vehicle(EV)
photovoltaic generation
energy storage
microgrid
energy management
