An Income Distributing Optimization Model for Cooperative Operation among Different Types of Power Sellers Considering Different Scenarios

Shenbo Yang, Zhongfu Tan, Liwei Ju, Hongyu Lin, Gejirifu De, Qingkun Tan and Feng’ao Zhou
Additional contact information
Shenbo Yang: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Zhongfu Tan: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Liwei Ju: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Hongyu Lin: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Gejirifu De: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Qingkun Tan: School of Economics and Management, North China Electric Power University, Beijing 102206, China
Feng’ao Zhou: School of Humanities and Social Sciences, North China Electric Power University, Beijing 102206, China

Energies, 2018, vol. 11, issue 11, 1-24

Abstract: To alleviate the shortcomings of large-scale grid connections for clean energy, which require stable thermoelectric units to provide backup services, a stable cooperative alliance among different energy types of power sellers must be established. Consequently, a reasonable method to distribute income is required, due to different contributions of each entity in the alliance. Therefore, this paper constructs a comprehensive correction algorithm for income distribution using an improved Shapely value method. We analyze the operating mode of the power seller, and establish the net income calculation model under both independent and alliance operations. We then establish an alliance operation optimization model that considers the constraints of unit output, as well as the balance between supply and demand, with the goal of maximizing income. Finally, an industrial park in a province of northern China is taken as an example to verify the model’s practicability and effectiveness. The results show that the power sales alliance can effectively promote clean energy consumption. The maximum reduction in thermal power generation and CO 2 is 8510 MW and 684.515 tons, respectively. We apply the algorithm to income distribution and find that the thermal power seller’s income increased by ¥1,463,870, which enhances the stability of the alliance. Therefore, our income distributing optimization model guarantees the interests of each participant to the greatest extent, and serves as an important reference for income distribution.

Keywords: power seller alliance; income distribution; Shapley value method; comprehensive correction algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/11/2895/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/11/2895/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:11:p:2895-:d:178067

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().