基于事件驱动的微电网多目标趋优控制

微电网多目标优化控制问题通常采用非线性高维微分方程组描述,难以用现有数学方法求得满意解.为了解决该问题,提出基于混成控制理论的求解方法,建立一个Stateflow模型,根据输入数据、运行状态控制目标做出判断,调度微网中各微电源,实现微电网安全、稳定、经济运行的多目标趋优控制.针对一个具体直流微电网,论述了各微电源的调度运行策略,给出了相关事件的定义,设计了其事件驱动控制系统,并在MATLAB/Simulink/Stateflow环境下进行了仿真.仿真结果表明该模型能够根据给定数值的燃料电池运行成本、蓄电池端电压、功率缺额输出符合理论分析的控制信号. 

Multi-objective Optimal Control of Micro-grid Based on Event-Driven Method

The multi-objective optimal control problem of micro-grid is usually described by high dimensional nonlinear differential equations, which cannot be solved satisfactorily by current mathematics method. Hybrid control method is proposed to achieve multi-objective optimal control of micro-grid. A Stateflow model was estabilished, which can output control quantity according to the input data and the control objects, schedule various micro power supply in the micro-grid and achieve the multi-objective optimal control of the micro-grid. In a case of a specific DC micro-grid, the dispatching strategy of micro sources in the micro-grid was discussed, the related events were defined and the event-driven control system was designed. Finally, simulation by MATLAB/Simulink/Stateflow shows that with given values of fuel cell operation cost, battery voltage and power shortage, this model can output control signals in agreement with theoretical analysis.