Risk assessment of wind power prediction errors

Chen Yu, Yusheng Xue, Fushuan Wen, Zhaoyang Dong, Junhua Zhao, Yi Ding, Zhao Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

The requirements on the error evaluation index for wind power prediction (WPP) and drawbacks of the traditional evaluation indexes are summarized. By distinguishing the influences on electric power reliability of a positive error from those of a negative error, a risk assessment index is proposed for WPP errors and its calculation. The risk assessment index is defined as an integration of the probability of a power disturbance event caused by WPP error and the losses caused by the event. Having a monetary dimension, the index can be accumulated as risk cost of WPP error with other costs directly. Thus, the confusion on how to trade off “ignoring the events of small probability” against “attaching importance to the events with heavy losses” can be dispelled for those events with big error as well as very small probability. Finally, an actual wind farm system in Ningxia, China is applied to illustrating the feasibility and availability of the risk index.
Original languageChinese (Simplified)
Pages (from-to)52-58
Number of pages7
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume39
Issue number7
DOIs
Publication statusPublished - 1 Jan 2015

Keywords

  • Error evaluation
  • Positive error vs negative error
  • Risk index
  • Wind power prediction

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Energy Engineering and Power Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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