The wind power prediction research based on mind evolutionary algorithm

2018 Asia Conference on Energy and Environment Engineering

能源学;生态环境科学

Zhuang, Ling^1 ; Zhao, Xinjian^1,2 ; Ji, Tianming^3 ; Miao, Jingwen^3 ; Cui, Haina^4

State Grid Jiangsu Electric Power Company, Shanghai Road, Nanjing

210000, China^1

State Grid Nanjing Power Supply Company, Nanjing

210000, China^2

Information System Integration Company of Nari Group Cooperation, Nanjing

211100, China^3

Information System Integration Company of Nari Group Cooper., Nanjing

211100, China^4

关键词: Engineering applications;    Mind evolutionary algorithm (mea);    Mind evolutionary algorithms;    Power grids;    Power System;    Prediction model;    Wind power predictions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/133/1/012012/pdf
DOI  :  10.1088/1755-1315/133/1/012012

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

When the wind power is connected to the power grid, its characteristics of fluctuation, intermittent and randomness will affect the stability of the power system. The wind power prediction can guarantee the power quality and reduce the operating cost of power system. There were some limitations in several traditional wind power prediction methods. On the basis, the wind power prediction method based on Mind Evolutionary Algorithm (MEA) is put forward and a prediction model is provided. The experimental results demonstrate that MEA performs efficiently in term of the wind power prediction. The MEA method has broad prospect of engineering application.