Optimal demand side management by distributed and secured energy commitment framework

This study introduces a demand-side distributed and secured energy commitment framework and operations for a power producer and supplier (PPS) in deregulated environment. Due to the diversity of geographical location as well as customers’ energy profile coupled with high number of customers, managin...

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Veröffentlicht in:IET generation, transmission & distribution Jg. 10; H. 14; S. 3610 - 3621
Hauptverfasser: Chakraborty, Shantanu, Okabe, Toshiya
Format: Journal Article
Sprache:Englisch
Veröffentlicht: The Institution of Engineering and Technology 04.11.2016
Schlagworte:
Algorithms
Computer simulation
customer energy profile
Customers
demand side management
deregulated environment
distributed assignment problem
distributed energy framework
distributed energy matching
electricity supply industry deregulation
energy exchange
Energy management
energy security
energy transaction
Exchange
external energy supplier
geographical location
information exchange
linear programming
Matching
microgrid
optimal demand side management
Polyphenylene sulfides
power producer and supplier
PPS
secured energy commitment framework
SSP
subservice provider
Suppliers
customer energy profile
distributed assignment problem
linear programming
electricity supply industry deregulation
energy transaction
subservice provider
distributed energy framework
distributed energy matching
power producer and supplier
SSP
optimal demand side management
PPS
information exchange
microgrid
energy exchange
secured energy commitment framework
geographical location
demand side management
energy security
deregulated environment
external energy supplier
ISSN:1751-8687, 1751-8695
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Beschreibung
Zusammenfassung:This study introduces a demand-side distributed and secured energy commitment framework and operations for a power producer and supplier (PPS) in deregulated environment. Due to the diversity of geographical location as well as customers’ energy profile coupled with high number of customers, managing energy transactions and resulting energy exchanges are challenging for a PPS. The envisioned PPS maintains several aggregators (e.g. microgrids), named as sub service provider (SSP) that manage customers/subscribers under their domains. The SSPs act as agents that perform local energy matching (inside their domains) and distributed energy matching within SSPs to determine the energy commitment. The goal of the distributed energy matching is to reduce the involvement of external energy supplier (e.g. Utility) while providing a platform to demand side players to be a part of energy transaction. A distributed assignment problem is designed that requires minimum and aggregated information exchange (hence, secured) and solved by linear programming that provides the distributed matching decision. The communicative burden among SSPs due to the exchange of energy information is reduced by applying an adaptive coalition formation method. The simulations are conducted by implementing a synchronous distributed matching algorithm while showing the effectiveness of the proposed framework.
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ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2016.0413