Paper Info
Title
Fuzzy Logic Based Prosumer Agent in a Modular Smart Grid Prosumer Architecture
Abstract
The investment to DERs (Distributed Energy Resources) in the emerging smart energy grids are critical to achieving goals for environmental protection, reducing energy costs and coping with failures. An architecture and market mechanism is needed to support the participation of owners of DERs that aim to maximize the profit from this investment within a system that is also able to achieve grid level objectives. Due to privacy requirements, owners of DERs should not be requested to divulge information such as the state of charge of a local energy store, and yet such information is very relevant for operating the grid in such a way that meets the objectives of the owner of the grid, who may operate a large power plant that is ultimately responsible for satisfying the load that cannot be covered by DERs. This paper builds on previous work to propose a modular multi-agent architecture in which prosumer agents represent DER owners and an auctioneer agent represents the power plant operator. The architecture allows the different agents to use different algorithms aiming at satisfying local and grid level objectives while meeting the privacy requirement. In particular, a fuzzy logic based algorithm is developed for the distributed automation platform that supports the architecture. The capability of the architecture to flexibly evaluate the performance of various algorithms from the DER owner and plant operator perspective is demonstrated with a case study in the district heating domain.
Year
DOI
Venue
2015
10.1109/Trustcom-BigDataSe-ISPA.2015.642
TrustCom/BigDataSE/ISPA
Keywords
Field
DocType
DER (Distributed Energy Resource), smart grid, district heating, prosumer, auction, multi-agent, CHP (Combined Heat and Power Production), IEC 61499, fuzzy logic, privacy
Prosumer,Architecture,Smart grid,Computer security,Computer science,Fuzzy logic,Automation,Distributed generation,Modular design,Grid
Conference
Volume
ISSN
Citations 
3
2324-9013
0
PageRank 
References 
Authors
0.34
23
4
Name
Order
Citations
PageRank
Chen-Wei Yang18512.79
Kashif Gulzar201.01
Seppo Sierla35414.59
Valeriy Vyatkin41047152.80