Open AccessMulti-agent revenue distribution model of VPP based on game theory
Author(s) -
Xuanyuan Wang,
Hao Zhang,
Jin Shi,
Zhen Liu,
Dunnan Liu,
Hanwen Chen
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/3/032056
Subject(s) - shapley value , revenue , investment (military) , construct (python library) , competition (biology) , distribution (mathematics) , microeconomics , computer science , game theory , function (biology) , mathematical optimization , cooperative game theory , measure (data warehouse) , property (philosophy) , mathematical economics , economics , operations research , mathematics , data mining , finance , ecology , mathematical analysis , programming language , evolutionary biology , politics , political science , law , biology , philosophy , epistemology
VPP contain multiple investment entities. There are cooperation and competition relationships among different entities. It is necessary to study the problem of income distribution among multiple entities. Firstly, the multi-agent investment income model of VPP is analized, and the VPP income function is determined. Secondly, based on cooperative game theory, the Shapley value method is used to construct a multi-agent revenue model allocation model for VPP. Finally, select typical scenarios for measurement and analysis to verify the validity of the model.