Approach to Identifying Behind-The-Meter Wind Power: A Case Study in Northern Ireland

Kunyu Zuo, Youbo Liu, Xueqin Liu, Junyong Liu, Hang Yin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As more and more electricity users install private renewable energy generators on the demand side, electricity demand changes into the difference between load and generation. The specific variation of generation and load cannot be directly obtained via prosumer meters, which challenges economic dispatch, emergency recovery, forecasting accuracy, etc. To address the data deficiency, this paper proposed an approach for separating out load and wind power generation from the user demand data. Specifically, separation processes firstly utilize discrete wavelet transform to decompose signals into several representative scales. Then, the operating capacity of wind turbines can be solved by matching the demand variation on a wavelet scale where disturbances like random behaviors and weather interaction are reduced. Consequently, generation data can be constructed by wind turbine models with capacity parameter and weather information. In Northern Ireland cases, behind-the-meter wind power is successfully separated out from user demand. The separated data of load and wind power better present the network status. Utilizing the data in demand forecasting, the forecasting errors of three general methods was effectively decreased by an average of 18.78%.
Original languageEnglish
Title of host publication2019 3rd IEEE Conference on Energy Internet and Energy System Integration: Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages525-530
Number of pages6
ISBN (Electronic)9781728131375
DOIs
Publication statusPublished - 09 Apr 2020
Event3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019 - Changsha, China
Duration: 08 Nov 201910 Nov 2019

Publication series

NameIEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything: Proceedings
PublisherIEEE

Conference

Conference3rd IEEE Conference on Energy Internet and Energy System Integration, EI2 2019
CountryChina
CityChangsha
Period08/11/201910/11/2019

Keywords

  • behind-the-meter generator
  • discrete wavelet transform
  • energy prosumer
  • renewable energy

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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