LAPSE:2019.0044
Published Article
LAPSE:2019.0044
Multi-Party Energy Management for Clusters of Roof Leased PV Prosumers: A Game Theoretical Approach
Nian Liu, Cheng Wang, Xinhao Lin, Jinyong Lei
January 7, 2019
The roof-leased business mode is an important development method for the distributed photovoltaic (PV) systems. In this paper, the benefits of the PV energy are considered in a PV cluster (PVC) consisting of a certain number of prosumers and a PVC operator (PVCO). In order to distribute the benefits, a multi-party energy management method for the PVC is proposed, including an internal pricing model and a demand response (DR) model. First, the dynamic internal pricing model for the trading between PVCO and prosumers is formulated according to the economic principle of demand and supply relation. Moreover, in order to improve the local consumption of PV energy, the DR model is formulated as a non-cooperative game among the prosumers. Meanwhile, the existence and uniqueness of the Nash Equilibrium (NE) are proved, and a distributed solving algorithm is introduced to approach the NE solution. Finally, the PVC including four prosumers is selected as the study object, the results have shown that the internal pricing model and DR model can improve the benefit of both prosumers and PVCO, as well as the local consumption of PV energy.
Keywords
demand response, dynamic price, Nash Equilibrium, non-cooperative game, photovoltaic cluster
Suggested Citation
Liu N, Wang C, Lin X, Lei J. Multi-Party Energy Management for Clusters of Roof Leased PV Prosumers: A Game Theoretical Approach. (2019). LAPSE:2019.0044
Author Affiliations
Liu N: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China [ORCID]
Wang C: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China
Lin X: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Changping District, Beijing 102206, China
Lei J: Electrical Power Research Institute, China Southern Power Grid (CSG), Guangzhou 510080, China
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
7
Article Number
E536
Year
2016
Publication Date
2016-07-13
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9070536, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2019.0044
This Record
External Link

doi:10.3390/en9070536
Publisher Version
Download
Files
[Download 1v1.pdf] (6.9 MB)
Jan 7, 2019
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
537
Version History
[v1] (Original Submission)
Jan 7, 2019
 
Verified by curator on
Jan 7, 2019
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2019.0044
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version