考虑风电消纳的“风-网-EV充换电站”协同优化策略研究

Study on collaborative optimization strategy of“wind-grid-EV charging and swapping station”considering wind power consumption

为降低风电功率波动性、反调峰性对电网运行的不利影响,提出一种考虑风电消纳的“风-网-EV充换电站”协同优化调度策略。首先将火电作为可调节电源辅助风电上网,并通过碳交易机制促使火电系统在电网负荷低、弃风率高的时段,主动降低出力减碳运行,等效提升风电上网空间;然后在满足电网用电需求基础上,接入充换电站负荷进一步抑制风电功率波动,同时提升风电消纳量,以电网负荷峰谷差最小以及系统综合运行成本最优为目标函数,构建联合系统低碳经济运行模型;最后通过NSGA-Ⅱ算法对不同情景求解分析。结果表明:该策略能够有效降低系统运行成本、电网负荷峰谷差,提高电网风电消纳率。

In order to reduce the adverse impact of wind power fluctuation and anti-peak shaving on power grid operation,a coordinated optimal dispatching strategy of“wind-grid-EV charging and swapping station”considering wind power consumption is proposed.Firstly,thermal power is used as an adjustable power supply to assist wind power grid,and through the carbon trading mechanism,the thermal power system is encouraged to actively reduce output and reduce carbon during periods of low grid load and high wind abandonment rate,so as to effectively improve the wind power grid space.Then,on the basis of meeting the power demand of the power grid,the load of the charging and changing power station is connected to further restrain the fluctuation of wind power,and at the same time,the wind power consumption is increased.The objective function is to minimize the peak valley difference of power grid load and optimize the comprehensive operation cost of the system.The low-carbon economic operation model of the joint system is constructed.Finally,the NSGA-Ⅱalgorithm is used to solve and analyze different scenarios.The results show that,this strategy can effectively reduce the system operation cost and the peak valley difference of grid load,and improve the wind power consumption rate of the grid.