Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks

Virtual power plants (VPPs) including distributed generation, energy storage, and elastic load are emerging in distribution networks. Multiple VPPs can participate in electricity market as an aggregated entity and effective cost allocation mechanism among VPPs is a crucial issue. This paper focuses...

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Main Authors: Yue Yang, Yue Wang, Wenchuan Wu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:Journal of Modern Power Systems and Clean Energy
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9965193/
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author Yue Yang
Yue Wang
Wenchuan Wu
author_facet Yue Yang
Yue Wang
Wenchuan Wu
author_sort Yue Yang
collection DOAJ
description Virtual power plants (VPPs) including distributed generation, energy storage, and elastic load are emerging in distribution networks. Multiple VPPs can participate in electricity market as an aggregated entity and effective cost allocation mechanism among VPPs is a crucial issue. This paper focuses on allocating ex-post cost of VPPs incurred by deviation between actual power and ex-ante schedule in a two-settlement electricity market. We obtain approximate quadratic formulation of ex-post deviation cost considering network loss and develop an analytical cost allocation algorithm based on cooperative game theory. The allocated cost is consistent with cost causation principle and provides VPPs with incentive for aggregation. The proposed allocation method and relevant theoretical result are evaluated and verified by numerical tests.
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spelling doaj.art-71c7b8a9f9f9479fb3447b4748746dbe2023-05-26T23:01:11ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202023-01-011131014101910.35833/MPCE.2022.0003559965193Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution NetworksYue Yang0Yue Wang1Wenchuan Wu2School of Electrical Engineering and Automation, Hefei University of Technology,Hefei,China,230009State Grid Maanshan Power Supply Company,Maanshan,China,243000Tsinghua University,State Key Laboratory of Power Systems,Department of Electrical Engineering,Beijing,China,100084Virtual power plants (VPPs) including distributed generation, energy storage, and elastic load are emerging in distribution networks. Multiple VPPs can participate in electricity market as an aggregated entity and effective cost allocation mechanism among VPPs is a crucial issue. This paper focuses on allocating ex-post cost of VPPs incurred by deviation between actual power and ex-ante schedule in a two-settlement electricity market. We obtain approximate quadratic formulation of ex-post deviation cost considering network loss and develop an analytical cost allocation algorithm based on cooperative game theory. The allocated cost is consistent with cost causation principle and provides VPPs with incentive for aggregation. The proposed allocation method and relevant theoretical result are evaluated and verified by numerical tests.https://ieeexplore.ieee.org/document/9965193/Renewable energyvirtual power plant (VPP)cost allocationdistribution networkelectricity market
spellingShingle Yue Yang
Yue Wang
Wenchuan Wu
Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
Journal of Modern Power Systems and Clean Energy
Renewable energy
virtual power plant (VPP)
cost allocation
distribution network
electricity market
title Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
title_full Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
title_fullStr Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
title_full_unstemmed Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
title_short Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
title_sort allocating ex post deviation cost of virtual power plants in distribution networks
topic Renewable energy
virtual power plant (VPP)
cost allocation
distribution network
electricity market
url https://ieeexplore.ieee.org/document/9965193/
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