Open AccessOptimal Benefit Strategy of Clean Energy Consumption Based on Transmission Channel Constraints
Author(s) -
Qin-Peng Zhang,
Jiaqi Yang,
Mengfu Tu,
Qia Ding,
Hongjie Tian
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1578/1/012167
Subject(s) - channel (broadcasting) , transmission (telecommunications) , energy consumption , clean energy , consumption (sociology) , computer science , database transaction , energy (signal processing) , environmental economics , order (exchange) , power (physics) , value (mathematics) , microeconomics , mathematical optimization , economics , telecommunications , engineering , finance , social science , statistics , physics , mathematics , quantum mechanics , machine learning , sociology , electrical engineering , programming language
With the continuous development of social economy, energy and environmental issues deserve more and more attention. In order to improve the new energy’s consumption, this paper proposes an optimized social income strategy for clean energy consumption based on transmission channel constraints. The main method combines the method of cooperative game to maximize the value of social income, so as to determine the optimal combination of power generation, then taking into account the constraints of transmission channels and other issues, and then solving the problem of cross-regional clean energy trade with the goal of maximal social benefits. At the same time, the proceeds from the cooperative game can be distributed to each power transaction entity through the method of nuclear solution.