基于改进微分进化算法的风电直流微网能量管理

Energy Management of Wind Turbine-Based DC Microgrid Using Improved Differential Algorithm

针对含蓄电池作为储能元件的风电直流微网系统,提出了能够衡量储能系统老化过程的能量管理模型。该模型通过纳入蓄电池健康状态实现了系统的经济运行,通过功率平衡约束保证系统的稳定性。采用基于群体适应度方差的改进型微分进化算法求解所建模型,并应用Matlab软件在联网工况下对所建模型进行仿真。仿真结果表明:所提方法能够有效减少由蓄电池老化引起的系统运行成本,并基于微网预测信息实现了潮流最优管控,满足了风电直流微网系统经济、稳定运行的目标。

To measure the aging process of storage system, a new energy management optimization model of wind turbine-based DC microgrid with batteries as the energy storage elements is proposed. With introduction of health state of battery in this model, economical operation is achieved and system stability is guaranteed with power balance constraints. In addition, an improved differential evolution algorithm is adopted using group fitness variance as parameter adjustment indicator and applied to solve on-line optimization problem of system model. In order to verify the effectiveness of the proposed energy management model, simulations are conducted in Matlab under grid-connected condition with results showing that the proposed model can reduce operation cost caused by battery aging and implement optimal control of power flow based on forecast information, meeting the requirements of stable and economical operation of DC microgrid.