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Title: Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method

Abstract

The Western Electricity Coordinating Council (WECC) initiated the development of a composite load model for transmission-level power system simulators. To more precisely utilize the model to represent the power consumption pattern for various locations of the WECC network, an up-to-date load composition dataset is required. The study in this paper aims to reconstruct the residential sector of the load composition model (LCM) dataset using latest survey or measurement data. The LCM residential dataset contains load profiles for twelve climate zones and five season types. The northwest energy efficiency alliance (NEEA) launched a study to generate the load profiles for four climate zones in the Pacific Northwest. Based on the NEEA database, a component-wise cross-correlation-based approach has been developed in this paper to update the obsolete residential load profiles of the four pacific northwest climate zones and populate the new load shape data into the other eight climate zones.

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [1];  [1]
  1. BATTELLE (PACIFIC NW LAB)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1603322
Report Number(s):
PNNL-SA-139433
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: Proceedings of the IEEE Power & Energy Society General Meeting (PESGM 2019), August 4-8, 2019, Atlanta, GA
Country of Publication:
United States
Language:
English

Citation Formats

Liu, Yuan, Hou, Zhangshuan, Etingov, Pavel V., and Zhou, Huifen. Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method. United States: N. p., 2019. Web. doi:10.1109/PESGM40551.2019.8973557.
Liu, Yuan, Hou, Zhangshuan, Etingov, Pavel V., & Zhou, Huifen. Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method. United States. doi:10.1109/PESGM40551.2019.8973557.
Liu, Yuan, Hou, Zhangshuan, Etingov, Pavel V., and Zhou, Huifen. Mon . "Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method". United States. doi:10.1109/PESGM40551.2019.8973557.
@article{osti_1603322,
title = {Update of Residential Load Profile for WECC Load Composition Model Using Cross-Correlation Method},
author = {Liu, Yuan and Hou, Zhangshuan and Etingov, Pavel V. and Zhou, Huifen},
abstractNote = {The Western Electricity Coordinating Council (WECC) initiated the development of a composite load model for transmission-level power system simulators. To more precisely utilize the model to represent the power consumption pattern for various locations of the WECC network, an up-to-date load composition dataset is required. The study in this paper aims to reconstruct the residential sector of the load composition model (LCM) dataset using latest survey or measurement data. The LCM residential dataset contains load profiles for twelve climate zones and five season types. The northwest energy efficiency alliance (NEEA) launched a study to generate the load profiles for four climate zones in the Pacific Northwest. Based on the NEEA database, a component-wise cross-correlation-based approach has been developed in this paper to update the obsolete residential load profiles of the four pacific northwest climate zones and populate the new load shape data into the other eight climate zones.},
doi = {10.1109/PESGM40551.2019.8973557},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {9}
}

Conference:
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