计及(火用)分析的综合能源系统多目标优化调度

建立综合能源系统优化调度模型并进行高效求解有利于可再生能源的开发利用，发掘综合能源系统降本增效的潜力。针对含光伏发电的综合能源系统，以系统■效率倒数最小和总运行成本最小为目标，结合电-热-冷综合需求响应模型和运行约束，构建综合能源系统多目标运行模型。针对模型中存在的非凸非线性项进行等价线性转化处理，将问题由多目标混合整数线性分式规划等价转换为多目标混合整数线性规划，进一步采用ε约束法将其转换为一系列单目标混合整数线性规划问题进行高效求解获得帕累托Pareto前沿，并采用TOPSIS法进行决策。算例仿真表明，所建立的含光伏发电的综合能源系统能提升系统运行灵活性，相比于单目标运行，计及■分析的综合能源系统多目标优化调度能够实现系统运行成本和效率的折衷。

MULTI-OBJECTIVE OPTIMAL SCHEDULING OF INTEGRATED ENERGY SYSTEM WITH THERMODYNAMIC EXERGY ANALYSIS METHOD

Building a multi-objective optimal scheduling model and solving it efficiently is conducive to the development and utilization of renewable energy, and makes much sense to explore the potential of cost reduction and efficiency increase for a integrated energy system. Based on the integrated energy system with photovoltaic power generation, this paper establishes the multi-objective operation model of minimizing the reciprocal of system exergy efficiency and minimizing the economic index, combined with the integrated demand response model of electricity heat and cooling and the operation constraints. The non-convex nonlinear terms in the model are dealt with, and the problem is transformed from multi-objective mixed integer linear-fractional programming to multi-objective mixed integer linear programming. Furthermore, in order to obtain Pareto front efficiently, the ε-constraint approach is used to transform it into a series of single objective mixed integer linear programming problems, and TOPSIS method is used for decision-making. The simulation results show that the multi-objective optimization scheduling model can not only improve the system operation flexibility and reduce the operation cost, but also achieve the trade-off between the system operation cost and the exergy efficiency compared with the single objective operation.