电力系统保护与控制2017，Vol.45Issue(10)：31-37,7.DOI:10.7667/PSPC160772
考虑新能源类型的电力系统多目标并网优化方法
Multi-objective optimal method considering types of grid connected new energy of electric power system
刘故帅 1肖异瑶 2贺禹强 2涂文标 1吴子阳 1张忠会1
作者信息
- 1. 南昌大学信息工程学院,江西 南昌 330031
- 2. 南昌大学前湖学院,江西 南昌 330031
- 折叠
摘要
Abstract
A concept of optimizing the grid connected new energy is proposed to cope with the bilateral randomness problem of power system. In illusion to the problems such as excessive investment, voltage drop and the ascending loss of active power which are resulted from the differences in cost, revenue and capacity between various kinds of new energy. A mathematical model for multi-objective optimizing with the maximum rate of return on investments, the minimum power loss and the offset of node voltage as its objective is established which is based on the Genetic Algorithm (GA) with the elitist strategy and multi-parameters. This paper reaches Pareto optimal solution space of new energy decisions and the overall optimal strategy through normalized processing. Simulating analysis conducted with the instance of IEEE-30 node system verifies the rationality and validity of this method which could provide certain reference for the equipment selection for the new energy on the supply side.关键词
新能源/多目标优化/帕累托最优/遗传算法Key words
new energy/multi-objective optimization/Pareto optimality/genetic algorithm引用本文复制引用
刘故帅,肖异瑶,贺禹强,涂文标,吴子阳,张忠会..考虑新能源类型的电力系统多目标并网优化方法[J].电力系统保护与控制,2017,45(10):31-37,7.
