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Title: An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources

Abstract

Increasing deployment of distributed energy resources (DERs) is re-sculpturing the modern power systems in recent years. Future smart power distribution systems should be competent at accommodating extensive integration of DERs and managing the associated uncertainties at the distribution level. The electricity market has been proved to be an efficient way to employ market signals to direct behaviors of users and DERs with large capacity and homogeneous pattern. However, existing market frameworks cannot effectively handle a large number of small-scale DERs due to their diverse characteristics and arbitrary behavior patterns. In this context, an aggregated model which can represent and manage a diverse collection of DER, load, and storage is proposed. An additional trading platform, namely the energy sharing market, is established to reinforce the coordination and collaboration among various aggregators as well as operators. Energy sharing scheme is applied and a corresponding dynamic dispatch platform is designed to solve the crowdsource problem. The efficiency of the proposed model is validated by the numerical studies, and the market performance and impacts of energy sharing on the power systems are illustrated.

Authors:
ORCiD logo [1];  [2];  [3];  [1];  [1]
  1. Zhejiang Univ. of Science and Technology, Hangzhou (China)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  3. Hefei Univ. of Technology, Hefei (China)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1576474
Report Number(s):
NREL/JA-5D00-75509
Journal ID: ISSN 2169-3536
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
IEEE Access
Additional Journal Information:
Journal Volume: 7; Journal ID: ISSN 2169-3536
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; distributed power generation; electricity supply industry deregulation; energy management; energy sharing; crowdsourcing behavior

Citation Formats

Liang, Bomiao, Liu, Weijia, Sun, Lei, He, Zhiyuan, and Hou, Beiping. An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources. United States: N. p., 2019. Web. doi:10.1109/ACCESS.2019.2945288.
Liang, Bomiao, Liu, Weijia, Sun, Lei, He, Zhiyuan, & Hou, Beiping. An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources. United States. doi:10.1109/ACCESS.2019.2945288.
Liang, Bomiao, Liu, Weijia, Sun, Lei, He, Zhiyuan, and Hou, Beiping. Thu . "An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources". United States. doi:10.1109/ACCESS.2019.2945288. https://www.osti.gov/servlets/purl/1576474.
@article{osti_1576474,
title = {An Aggregated Model for Energy Management Considering Crowdsourcing Behaviors of Distributed Energy Resources},
author = {Liang, Bomiao and Liu, Weijia and Sun, Lei and He, Zhiyuan and Hou, Beiping},
abstractNote = {Increasing deployment of distributed energy resources (DERs) is re-sculpturing the modern power systems in recent years. Future smart power distribution systems should be competent at accommodating extensive integration of DERs and managing the associated uncertainties at the distribution level. The electricity market has been proved to be an efficient way to employ market signals to direct behaviors of users and DERs with large capacity and homogeneous pattern. However, existing market frameworks cannot effectively handle a large number of small-scale DERs due to their diverse characteristics and arbitrary behavior patterns. In this context, an aggregated model which can represent and manage a diverse collection of DER, load, and storage is proposed. An additional trading platform, namely the energy sharing market, is established to reinforce the coordination and collaboration among various aggregators as well as operators. Energy sharing scheme is applied and a corresponding dynamic dispatch platform is designed to solve the crowdsource problem. The efficiency of the proposed model is validated by the numerical studies, and the market performance and impacts of energy sharing on the power systems are illustrated.},
doi = {10.1109/ACCESS.2019.2945288},
journal = {IEEE Access},
number = ,
volume = 7,
place = {United States},
year = {2019},
month = {10}
}

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