多目标环境经济调度模型与算法研究综述

Survey of Multi-Objective Environmental Economic Dispatch Models and Algorithms

科学合理的有功优化调度是电力系统安全经济运行的基本保障。环境经济调度是实现节能减排、提高新能源利用率的重要措施。介绍了近年来多目标环境经济调度的研究成果,涉及多目标优化问题的一般数学描述、环境经济调度的基本概念、目标函数、约束条件、多目标优化问题的直接解法和间接解法等;并介绍了线性加权求和法、约束法、最大最小法、NSGA-Ⅱ几种典型多目标优化算法的基本原理和优缺点;同时指出新能源大规模并网对环境经济调度的影响及因此带来的需要进一步研究的问题。

Scientific and reasonable active power dispatch is an important guaranty for the safe and economical opera- tion of electric system. Environmental economic dispatch （EED） is a basic measure for realizing energy saving and e- mission reduction and improving renewable generation utilization rate. This paper introduces the recent research a- chievements on EED, which involve the general mathematic description of multi-objective optimization problem, the basic conceptions, objective functions, constrain conditions of EED, direct and indirect solutions to multi-objective op- timization problem, etc. What＇s more ,it introduces the fundamentals and merits and demerits of some multi-objective optimization algorithms, such as weighted sum method, constraint method, minmax method and non-dominated sorting genetic algoritbm-Ⅱ （NSGA-Ⅱ）. Meanwhile,it points out the influence of large-scale grid-connected new energy on EED and the subsequent issues in need of further study.