计及电动汽车不确定性的家庭微电网实时能量调度策略

Online Energy Dispatch Strategy for Residential Microgrid Considering Uncertainty of Electric Vehicle

EV和可再生能源的发展促使V2H系统成为研究的热点。EV在V2H系统中扮演着可控负载和移动储能的双重角色,具有削峰填谷、后备电源的作用,可以有效提高电网的经济性和可靠性。然而,EV行为的不确定性对微电网经济和稳定运行产生了重大影响。针对上述问题,提出了基于马尔可夫链蒙特卡罗(Markov chain Monte Carlo,MCMC)的方法对EV的随机性进行建模,并在此基础上建立了基于模型预测控制技术的全局在线优化算法。该算法可以在执行微电网能量优化管理的过程中充分考虑EV的储能特性,进而降低系统运行成本。不同情况下的算例分析验证了所提能量优化管理策略的有效性。

Research on V2H systems attracts increasing attention with development of EV and renewable energy. As a controllable load and mobile energy storage, EV plays a role of peak shaving and valley filling, and can be used as backup power, thus improving economy and reliability of microgrid. However, due to uncertainty of EV, reliability and economic operation of microgrid face new challenges. To address this issue, an EV travel model based on MCMC (Markov chain Monte Carlo) is established and an energy management solution based on model predictive control is designed in this paper. The proposed solution can reduce system operational cost by fully considering the energy storage property of the EV. Experiments under different conditions are conducted to verify the proposed energy dispatch strategy.