会议专题

Statistical Inference and Analysis of Load Composition in Power Systems

There are many kinds of industry loads,and different types of them have different characteristics.Load composition analysis plays an essential role in power system planning,dispatching and market operation,as well as for load modeling.Given this background,based on the monthly electricity consumption data as well as the load data of each kind of industry loads collected by the load control system,an effort is made to calculate the load composition of the whole power system,by employing the statistical inference method.Furthermore,the variation rules of each industry load during special days to those during normal days are investigated and analyzed.It is demonstrated by numerous simulation results that the developed approach for load composition analysis could provide efficient decision-making assistance for power system planning,dispatching,market operation,as well as load forecasting.

power system:industry load:load composition statistical inference

Liang CHEN Fushuan WEN Shulin TONG Jiansheng HUANG

School of Electrical Engineering South China University of Technology Guangzhou 510640,China; Electr School of Electrical Engineering Zhejiang University Hangzhou 310027,China School of Electrical Engineering South China University of Technology Guangzhou 510640,China School of Computing and Mathematics University of Western Sydney Sydney,Australia

国际会议

2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(第四届电力设施管制、重建及能源技术国际会议 DRPT 2011)

威海

英文

1856-1860

2011-07-06(万方平台首次上网日期,不代表论文的发表时间)