用户侧重力-蓄电池混合储能系统配置优化与效益分析

Configuration optimization and benefit analysis of user side gravity-battery hybrid energy storage system

现有的用户侧储能以蓄电池储能为主,手段较为单一,回收不当对环境也会造成危害;同时用电高峰期峰谷差较大,这既提升了用户用电成本,也给电网的稳定运行带来了挑战。针对此问题,建立了重力储能的充放电模型,并在此基础上提出一种应用蓄电池与重力储能相结合的混合储能模型。首先以功率、容量和寿命等变量为条件对该模型进行了适当的约束。下一步以用户综合收益最高为目标函数利用量子粒子群优化算法对模型进行配置寻优。然后得出了混合储能最优的功率、容量配置。在MATLAB 2021b软件环境下,使用江苏省南京市用户侧智能电能表实际负荷数据算例进行分析,最后可以得出混合储能系统及其优化方案可以减小用户侧用电峰谷差,并且使用户侧用电成本有所降低的结论,验证了其合理性与经济性。

The existing user side energy storage is mainly battery energy storage,and the means are relatively simple.Improper recovery will also cause harm to the environment;At the same time,the difference between peak and valley during the peak period of power consumption is large,which not only increases the power consumption cost of users,but also brings challenges to the stable operation of the power grid.To solve this problem,the charge and discharge model of gravity energy storage is established,and proposed a hybrid energy storage model based on the combination of battery and gravity energy storage.Firstly,the model was properly constrained by variables such as power,capacity and life.The next step was to optimize the configuration of the model by using quantum particle swarm optimization algorithm with the highest comprehensive income of users as the objective function.Then the optimal power and capacity configuration of hybrid energy storage was obtained.Besides,under the environment of matlab2021b software,the actual load data of user side smart meters in Nanjing,Jiangsu Province were used for analysis.Finally,it can be concluded that the hybrid energy storage system and its optimization scheme proposed can reduce the peak valley difference of user side power consumption and reduce the cost of user side power consumption,which verifies its rationality and economy.