Design and Implementation of the Forecasting System for Wind Farm Power

摘要：

With the large-scale wind farm in the Grid.the stability of power system is becoming the hot issue.lt makes higher requirements to the accuracy of power put forward in the forecasting system.This paper is raised the forecasting model based on multi-Agent technology, given prediction algoritbm module flow and used BP neural network to predict. According to the characteristics of self-learning Agent,the paper makes use of all interactivities of Agent and modifies the model of BP neural network constantly to make predictions more accurately.The result of actual system application show that the forecasting model based on multi-Agent technology is feasibility and effectiveness.

关键词： wind power forecast multi-agent system ANNs JADE platform

作者: Xu Jianyuan Zhang Mingli Teng Yun Huang Xu

作者单位: School of Electrical Engineering Shenyang University of Technology 110870, Shenyang, China Department of Electric Power System Liaoning Electric Power Research & Test Institute 110006, Shenya

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 190-193

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）