海岛独立微电网多时间尺度能量调度方法研究

Multi-Time-Scale Energy Management of Island Independent Microgrid

海岛独立微电网是一个复杂信息物理系统,其能量调度是非线性、多约束、多时间尺度的动态性问题。针对这一问题,研究了改进自适应粒子群算法的多时间尺度优化调度模型,并给出了日前多目标调度模型和日内滚动优化修正模型。日前多目标调度基于改进自适应粒子群算法进行多目标优化,确保微电网系统的经济性和稳定性;日内滚动优化调度采取滚动优化方式修正日前调度,确保日前调度的有效性。仿真算例验证了所提方法的有效性和可行性。

Island independent microgrid was a complex cyber-physical system, and its energy management was a nonlinear, multi-constraint and multi-time-scale dynamic problem. For such a problem, the multi-time-scale optimal scheduling model based on improved adaptive particle swarm optimization algorithm was studied. A multi-objective scheduling model and an intraday rolling optimization correction model were proposed. The daily scheduling model was based on the improved adaptive particle swarm algorithm for multi-objective optimization so as to ensure the microgrid economy and stability. And the rolling optimization model rectified the deviation of the former to guarantee the effectiveness of the daily prediction. Simulation results showed that the proposed strategy could effectively enhance the economy and reliability of island independent microgrid systems.