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AuthorAli, Liaqat
AuthorMuyeen, S. M.
AuthorBizhani, Hamed
AuthorGhosh, Arindam
Available date2022-03-23T08:22:44Z
Publication Date2021
Publication NameIET Generation, Transmission and Distribution
ResourceScopus
Identifierhttp://dx.doi.org/10.1049/gtd2.12308
URIhttp://hdl.handle.net/10576/28901
AbstractIn this paper, a multi-objective optimization technique is proposed for the planning of a networked microgrid based on peer-to-grid (P2G) and peer-to-peer (P2P) energy trading schemes. Two different criteria's including annual profit and energy index of reliability are taken into consideration to form a multi-objective function. The networked microgrid consists of three individual microgrids containing their own combinations of generation resources, batteries and residential loads. All microgrids are connected together and also to the main grid to meet the energy exchange requirements of P2P energy trading. A cooperative game theory technique based on a particle swarm optimization algorithm is used to model the networked microgrid, and to find the suitable sizes of the players that simultaneously maximize the payoff values of both objective functions. Besides, a comparative analysis is carried out for both P2G and P2P energy trading schemes. The results show that the outcomes are maximum when both criteria are considered in the optimization and P2P energy trading is carried out. The sensitivity analysis is performed on the selected parameters and verified the right change 0.003% and 4.5% in discount rate and electricity prices, respectively.
SponsorThe authors wish to express special thanks to Horizon Power for providing the electrical load profiles of Western Australia's towns Laverton and Mount Magnet.
Languageen
PublisherJohn Wiley and Sons Inc
SubjectGame theory
Microgrids
Multiobjective optimization
Particle size analysis
Particle swarm optimization (PSO)
Sensitivity analysis
Battery loads
Energy indexes
Energy trading
Generation resources
Microgrid
Multi-objective functions
Multi-objective optimization techniques
Multi-objectives optimization
Peer to peer
Peer to peer (P2P)
Power markets
TitleA multi-objective optimization for planning of networked microgrid using a game theory for peer-to-peer energy trading scheme
TypeArticle
Pagination3423-3434
Issue Number24
Volume Number15
dc.accessType Open Access


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