碳排放限制的混杂最优闭环电网经济调度

Hybrid optimal closed-loop grid economic scheduling algorithm considering carbon emission constraints

针对电网经济调度效率低下等问题,提出了一种碳排放限制的混杂最优闭环电网调度算法。算法在考虑火力发电机组和多分布式发电聚合体组合调度的同时,以电网实际需求响应和碳排放限制作为约束条件,建立电网经济调度模型;并将经济调度问题转化为混杂系统的最优控制,从而建立电网经济调度与混杂系统最优控制序列的等价一致性;推导混杂系统获取满足贝尔曼方程的最优代价函数,借助神经网络逼近最优值获得最优闭环调度序列。仿真实验验证了本调度算法的闭环有效性,能在不同初始条件和外部扰动下依然获得最优调度序列,同时仿真结果证实降低碳排放限额或提高碳排放交易价格都有助于减少电网系统的总碳排放量。

A hybrid optimal closed-loop grid scheduling algorithm with carbon emission restriction was proposed to solve the problems of low economic scheduling efficiency of power grid.While considering the combined dispatching of thermal power generating units and multi-distributed power generation aggregates,with the actual demand response of the grid and carbon emission limits as constraints,a grid economic dispatching model was established.By transforming the economic dispatching problem into the optimal control of the hybrid system,the equivalent consistency between the economic dispatching of the power grid and the optimal control sequence of the hybrid system was established.The optimal cost function satisfying the Bellman equation was obtained by deriving the hybrid system,and then,the optimal value was approximated by neural network,which the optimal closed-loop scheduling sequence was obtained.Simulation experiments verify the effectiveness of the proposed closed-loop scheduling algorithm,which can still obtain the optimal scheduling sequence under different initial conditions and external disturbances.Simultaneously,the simulation results confirm that reducing carbon emission limits or increasing carbon emissions trading prices can help reduce the total carbon emissions of power grid system.