Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning

Mohseni, S; Brent, AC

Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning

Mohseni, S

Brent, AC

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, 2022-July, pp. 01-05
Issue Date:: 2022-10-27

Closed Access

	Filename	Description	Size
	Game-Theoretic_Sectoral_Demand_Response_Procurement_in_Multi-Energy_Microgrid_Planning (1).pdf	Published version	1.5 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Mohseni, S https://orcid.org/0000-0001-7367-3757
dc.contributor.author	Brent, AC
dc.date	2022-07-17
dc.date.accessioned	2023-07-05T23:54:38Z
dc.date.available	2023-07-05T23:54:38Z
dc.date.issued	2022-10-27
dc.identifier.citation	2022 IEEE Power & Energy Society General Meeting (PESGM), 2022, 2022-July, pp. 01-05
dc.identifier.isbn	978-1-6654-0823-3
dc.identifier.issn	1944-9925
dc.identifier.issn	1944-9933
dc.identifier.uri	http://hdl.handle.net/10453/171226
dc.description.abstract	Multi energy community microgrids MGs have been recognized as key enablers for harnessing distributed demand side flexibility resources especially when integrating storage However the literature on demand response integrated community energy system design and dispatch optimization has thus far failed to concurrently maximize the flexibility potential in several energy carriers thereby neglecting the potentially significant improvement opportunities of the associated business cases In response this paper introduces a novel Nash bargaining based cooperative game approach for the optimal aggregator mediated demand response scheduling of multi energy community MGs serving electricity and thermal loads as well as hydrogen as a transportation fuel More specifically the proposed approach systematically and effectively characterizes how the players share the resulting surplus from demand side management in an equitable manner under the assumption that the interests of the players the MG operator sectoral demand response aggregators and small scale end users are neither completely opposed nor completely coincident The proposed approach is then integrated into a meta heuristic based long term MG planning method A case study for a community based residential users aggregation scheme in Aotearoa New Zealand demonstrates the effectiveness of the method in reducing the total discounted system cost of a multi energy MG by 14 equating to US 1 9m and 31 US 5 4m respectively compared to the cases where i the actors behaviors are characterized using non cooperative game theory under self interestedness assumptions and ii no demand response programs are implemented
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2022 IEEE Power & Energy Society General Meeting (PESGM)
dc.relation.ispartof	IEEE Power and Energy Society General Meeting
dc.relation.isbasedon	10.1109/pesgm48719.2022.9916832
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Game-Theoretic Sectoral Demand Response Procurement in Multi-Energy Microgrid Planning
dc.type	Conference Proceeding
utslib.citation.volume	2022-July
utslib.location.activity	Denver, CO, USA
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Institute For Sustainable Futures
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2023-07-05T23:54:36Z
pubs.finish-date	2022-07-21
pubs.place-of-publication	Piscataway, USA
pubs.publication-status	Published
pubs.start-date	2022-07-17
pubs.volume	2022-July
dc.location	Piscataway, USA

Abstract:

Multi energy community microgrids MGs have been recognized as key enablers for harnessing distributed demand side flexibility resources especially when integrating storage However the literature on demand response integrated community energy system design and dispatch optimization has thus far failed to concurrently maximize the flexibility potential in several energy carriers thereby neglecting the potentially significant improvement opportunities of the associated business cases In response this paper introduces a novel Nash bargaining based cooperative game approach for the optimal aggregator mediated demand response scheduling of multi energy community MGs serving electricity and thermal loads as well as hydrogen as a transportation fuel More specifically the proposed approach systematically and effectively characterizes how the players share the resulting surplus from demand side management in an equitable manner under the assumption that the interests of the players the MG operator sectoral demand response aggregators and small scale end users are neither completely opposed nor completely coincident The proposed approach is then integrated into a meta heuristic based long term MG planning method A case study for a community based residential users aggregation scheme in Aotearoa New Zealand demonstrates the effectiveness of the method in reducing the total discounted system cost of a multi energy MG by 14 equating to US 1 9m and 31 US 5 4m respectively compared to the cases where i the actors behaviors are characterized using non cooperative game theory under self interestedness assumptions and ii no demand response programs are implemented

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/171226