Energy Trading Strategy for Heat and Electricity-Coupled Microgrid Based on Cooperative Game
Source abstract
Abstract
This paper proposes an energy trading framework for a combined heat and power (CHP) microgrid (MG) integrated with a Photovoltaic (PV) generation system. The parties involved in the CHP-MG energy market are a single MG operator (MGO) and multiple users with electric and thermal demand response (DR). The energy trading process between the MGO and users is formulated as a Nash bargaining game, where the users can bargain with the MGO regarding trading volumes and the prices of electricity and heat. The relationship between the Nash bargaining solution (NBS) and social welfare maximum is studied. A distributed optimization algorithm based on the alternating direction method of multipliers (ADMM) is adopted to achieve NBS. Case studies demonstrate the effectiveness of the proposed trading framework, and show the promotion of economic benefits.
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Research context
OpenAlex topics: Smart Grid Energy Management · Microgrid Control and Optimization · Electric Power System Optimization
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Affiliations
College of Information Engineering, Anhui Institute of International Business, No.001 Weiwu Road, Hefei 231131, China
Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University, No.111 Jiulong Road, Hefei 230601, China
Funding
Collaborative Innovation Center of Industrial Energy-Saving and Power Quality Control, Anhui University · Natural Science Research Project of Colleges and Universities of Anhui Provincial Department of Education · Domestic visiting program for outstanding young backbone teachers in Colleges and universities in Anhui Province · Key teaching research project of Anhui International Business Vocational College · Teaching demonstration course of Anhui Provincial Department of Education
References (22)
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