面向智能电网负荷调节的自适应储能系统控制

Adaptive Energy Storage System Control for Load Regulation in Smart Grid

提出一种自适应储能系统控制方法,对智能电网中电动汽车的动态无线充电负荷进行调节.该方法在系统代价函数中联合考虑电网侧功率的变化率和充放电对电池寿命的影响,采用自适应动态规划算法,通过在线神经网络训练,估计并最优化系统长期代价,从而得到近似最优的储能系统控制策略.仿真结果表明,该方法能有效降低电网侧功率的斜率,使负荷更加平稳,同时延长储能系统中电池的寿命.

An adaptive energy storage system control method was proposed to regulate the loads caused by electric vehicle dynamic wireless charging in smart grid. The proposed method jointly considers the grid- side power ramp rate and the charging/discharging impact on a battery＇s life in the system cost function. Adaptive dynamic programming algorithm is used to estimate and optimize the long-term system cost through online neural network training, so that the approximate optimal control strategy for the energy storage system can be obtained. Simulation shows that the proposed method can reduce the grid-side pow- er ramp rate stabilizing the loads and also prolong the battery＇s life of the energy storage system.