区域综合能源系统双层多目标模糊优化模型预测控制方法

针对区域综合能源系统需满足电网调度要求的特点和自身优化问题,提出一种区域综合能源系统与电网协同的双层多目标模糊优化模型预测控制方法。首先,在考虑区域综合能源源荷储特性模型及其约束基础上,建立双层优化模型,上层模型以电网调度关心的综合能效最大及清洁能源消纳最大等多目标为优化目标;下层模型以运行及用能成本等多目标最小为优化目标。然后,基于模型预测控制,求解单层模型获取上下层目标函数区间,将其模糊化,提出以最大满意度为新目标的模型预测控制方法并求解,从而获得兼顾上下层多目标的优化结果。最后,采用算例仿真验证,表明所提方法正确有效。

Model Predictive Control Method of Bi-level Multi-objective Fuzzy Optimization for Regional Integrated Energy System

Aimed at the characteristics that the regional integrated energy system needs to meet the requirements of power grid dispatch and the system optimization problem, a model predictive control method of bi-level multi-objective fuzzy optimization for the coordination of the regional integrated energy system and the power grid is proposed. Firstly, on the basis of the regional integrated energy "source-load-storage" characteristics model and its constraints, a bi-level multi-objective optimization model is established. The upper-level model takes the multi-objective maximum of comprehensive energy efficiency and maximum clean energy accommodation, which both are concerned by grid dispatching, as the optimization objective. The lower-level model takes the multi-objective minimum of operation and energy cost as the optimization objective. Solving the single-level model by model predictive control, the upper and lower objective function intervals are obtained. Then the intervals are blurred to establish a model predictive control method with maximum satisfaction as the new objective, so as to get an optimization result that takes both the upper and lower level into account. Finally, a simulation example is used to verify that the method in the paper is correct and effective.