Hybrid Game Optimization of Microgrid Cluster (MC) Based on Service Provider (SP) and Tiered Carbon Price

Fei Feng, Xin Du, Qiang Si and Hao Cai
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Fei Feng: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Xin Du: School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Qiang Si: Jiangsu Provincial Research and Development Center of Energy Internet and Large Data Integration Application Engineering Technology, Changzhou Vocational Institute of Engineering, Changzhou 213164, China
Hao Cai: Jiangsu Provincial Research and Development Center of Energy Internet and Large Data Integration Application Engineering Technology, Changzhou Vocational Institute of Engineering, Changzhou 213164, China

Energies, 2022, vol. 15, issue 14, 1-22

Abstract: Carbon trading is a market-based mechanism towards low-carbon electric power systems. A hy-brid game optimization model is established for deriving the optimal trading price between mi-crogrids (MGs) as well as providing the optimal pricing scheme for trading between the microgrid cluster(MC) and the upper-layer service provider (SP). At first, we propose a robust optimization model of microgrid clusters from the perspective of risk aversion, in which the uncertainty of wind and photovoltaic (PV) output is modeled with resort to the information gap decision theo-ry(IGDT). Finally, based on the Nash bargaining theory, the electric power transaction payment model between MGs is established, and the alternating direction multiplier method (ADMM) is used to solve it, thus effectively protecting the privacy of each subject. It shows that the proposed strategy is able to quantify the uncertainty of wind and PV factors on dispatching operations. At the same time, carbon emission could be effectively reduced by following the tiered carbon price scheme.

Keywords: information gap decision theory (IGDT); Nash bargaining; microgrid cluster (MC); hybrid game; distributed optimization; tiered carbon price (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: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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