基于遗传算法的微电网经济运行优化

Optimal Operation of Micro-Grid Based on Genetic Algorithm

微电网作为智能电网的一部分,是分布式电源接入电网的一种有效手段,微电网经济运行是其中一个重要研究方面。考察微电网经济性,通常是从最小运行成本和最小环境污染物排放成本两方面入手进行微电网的多目标优化,通过给适应度函数设置权重系数,将多目标函数转换为单目标函数。结合具体的微电网系统算例进行了仿真研究,结果显示:运用权重系数法能够使优化目标中经济成本与环境成本达到一个相对平衡的状态,实现了微电网经济运行。

As a part of smart grid,micro-grid is an effective means of distributed generations,and micro-grid economic operation is one of the important researches for micro-gird. In order to investigate the micro-grid economy,the multi-objective optimization of micro-grid is usually carried out from two aspects： the minimum operating cost and the minimum environmental emission cost. And the multi-objective function is converted into a single objective function by setting the weight coefficient to fitness function. Combined with a specific case of micro-grid system,the simulation was carried out,and the results show that the use of the weight coefficient method can make the optimization of economic cost and environmental cost achieve a relatively balanced state,and the economic operation of micro-grid is realized.