Peer-to-Peer Transactive Computation–Electricity Trading for Interconnected Virtual Power Plant Buildings

Advancements of the virtual power plant (VPP) concept have aggregated buildings as their power plants and/or service providers. This paper proposes a peer-to-peer transactive computation–electricity trading framework for multiple-building virtual power plants (BVPPs). In this framework, the intercon...

Full description

Saved in:
Bibliographic Details
Published in:Buildings (Basel) 2023-12, Vol.13 (12), p.3096
Main Authors: Gao, Zhiping, Kang, Wenwen, Chen, Xinghua, Ding, Sheng, Xu, Wei, He, Degang, Chen, Wenhu, Xu, Da
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
building virtual power plant
Buildings
Communication
Computation
Computer centers
Couplings
Decision making
Decomposition
Demand side management
economical optimization
Electric power generation
Electric power-plants
Electricity
Emission standards
Energy consumption
Energy trading
Game theory
Industrial plant emissions
Optimization techniques
Power plants
Privacy
Resource utilization
transactive control
Virtual power plants
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Advancements of the virtual power plant (VPP) concept have aggregated buildings as their power plants and/or service providers. This paper proposes a peer-to-peer transactive computation–electricity trading framework for multiple-building virtual power plants (BVPPs). In this framework, the interconnected BVPPs can proactively trade their available computation–electricity with each other. Multiple BVPP trading is an intractable optimization problem due to its strong computation–electricity decision-making couplings. Thus, the original problem is described as a game theoretic problem and resolved into the sequential subproblems of social computation–electricity allocation and payoff allocation. By considering the local decision-making of heterogeneous BVPPs, a fully distributed algorithm is further designed to optimize the trading problem by sharing only limited trading information. Finally, a three-BVPP system is used to verify the merits of system resource utilization and operational economy.
ISSN:2075-5309
2075-5309
DOI:10.3390/buildings13123096