Synergy Management Of Green Electricity Trading Under The Carbon Peaking And Neutrality Goals

As a significant institutional mechanism innovation in constructing China’s power market under the Carbon Peaking and Neutrality Goals(dual carbon goals),green electricity trading is conducive to promoting sustainable development and market-oriented consumption of green electricity.However,judging from the current situation of pilot green electricity trading practice,the synergy management of green electricity trading under the dual carbon goals still faces many challenges Therefore,based on the new situation of green and low-carbon transformation of economy,society,and energy power under the dual carbon goals,seizing the new opportunities of accelerating the construction of the new power system and the national unified power market,and in response to problems in the synergy management of green electricity trading in China,this paper conducted analysis from multiple aspects,including the construction of a synergy management framework for green electricity trading under the dual carbon goals,research on the influencing factors of consumers’green electricity purchase intention and trading intention,research on the price formation mechanism and bargaining game model of supply-demand synergy green electricity trading,research on synergy management recommendations for green electricity trading,aiming to reinforce the synergy management of green electricity trading,promote the large-scale and normalized development of green electricity trading,and assist in achieving the dual carbon goals.The main research content of this paper is as follows:(1)This paper defined the concepts related to synergy management of green electricity trading,analyzed the current situation of synergy management of green electricity trading at home and abroad,pointed out critical issues in synergy management of green electricity trading,and constructed a synergy management framework for green electricity trading under the dual carbon goals.First,the basic concepts of the green power market and green electricity trading were defined,theories related to the price formation mechanism of green electricity were expounded,and the synergy management of green electricity trading was defined based on synergy theory and synergy management theory.Second,the evolution path of China’s green electricity related policies and the current status of green electricity trading synergy management under the dual carbon goals were analyzed,and the experience of specific countries in synergy management of green electricity trading was summarized.Third,based on the current situation analysis and experience summary,this paper extracted critical issues in China’s green electricity trading synergy management under the dual carbon goals,which are the unclear factors that affect the demand side consumers’ intention to purchase and trade green electricity and their unclear interactions,as well as the imperfect pricing mechanism and bargaining game decision-making mechanism for supply-demand synergy green electricity trading.Moreover,analysis and solution ideas for critical issues were proposed.Finally,based on the synergy management theory,a stakeholders’synergy management framework for green electricity trading under the dual carbon goals was constructed to address the critical issues of synergy management of green electricity trading,and the characteristics of the main stakeholders were analyzed,which can lay the foundation for further research.(2)Based on the extended theory of planned behavior and structural equation model,this paper explored influencing factors of residential consumers’ green electricity purchase intention and their interaction relationships under the dual carbon goals.First,the research processes of influencing factors of residential consumers’ green electricity purchase intention based on the extended theory of planned behavior and structural equation model were designed.Second,combining the background of the dual carbon goals and the characteristics of green electricity products,five novel constructs of environmental concern,green self-efficacy,government behavior,green trust,and willingness to pay premium were designed;and based on research conclusions of relevant literature,research hypotheses of the influencing relationships between different constructs were proposed.Third,combining classic literature and experts’opinions,measurement items of different constructs were designed,and descriptive statistical analysis was conducted based on data samples collected by the questionnaire survey,Furthermore,a model based on structural equations for the research on influencing factors of residential consumers’ green electricity purchase intention was proposed,and the two-stage model verification proved that the measurement model constructed in this paper has good reliability and validity degree,the structural model has a better degree of fitness.Finally,based on the path analysis results of the structural equation models,direct influence relationships and mediating and moderating effects influence relationships among different latent variable factors were analyzed,and the interactions among different influencing factors were deeply explored.The empirical results validated that the model constructed in this paper has solid explanatory power for Chinese residential consumers’ green electricity purchase intention,laying a theoretical and empirical foundation for further research on the influencing factors of enterprise consumers’ green electricity trading intention.providing a reference for influencing factors of green electricity demand for the study of the price formation mechanism of supply-demand synergy green electricity trading,and providing suggestions and inspirations for the synergy management of green electricity trading.(3)This paper constructed a fuzzy DEMATEL-ISM-based integrated model for influencing factors analysis to explore the influencing factors of enterprise consumers’ green electricity trading intention and their interaction relationships under the dual carbon goals.First,the main ways of Chinese enterprise consumers"green electricity consumption were summarized,and the research processes of the influencing factors of enterprise consumers’ green electricity trading intention under the dual carbon goals were designed.Second,the content analysis,inventory,and Delphi method were utilized to construct an indicator system for the influencing factors of enterprise consumers’green electricity trading intention under the dual carbon goals.Third,considering the intrinsic fuzziness of experts’thinking and the ambiguity of evaluation language,as well as the complexity of the relationships between influencing factors,an integrated analysis model of influencing factors based on fuzzy DEMATEL-ISM was constructed to enhance the applicability and practicability of the model.Finally,according to the fuzzy DEMATEL model calculation results based on the survey data,the influencing data were preliminarily divided into outcome factors and causal factors.Critical influencing factors were selected based on the centrality degree of factors,and the hierarchical structure of the critical influencing factors was obtained based on the ISM method.The empirical results intuitively present the influencing factors and their interaction relationships of enterprise consumers’ green electricity trading intention,providing a reference for the influencing factors of green electricity demand for further research on the price formation mechanism of supply-demand synergy green electricity trading and providing suggestions and inspirations for the synergy management of green electricity trading.(4)This paper proposed the price formation mechanism of supply-demand synergy green electricity trading under the dual carbon goals,constructed a bargaining game model of supply-demand synergy green electricity trading based on Multi-Agent,and respectively proposed a simultaneous quotation strategy based on fuzzy Bayesian learning to improve Zeuthen model and an alternate quotation strategy based on fuzzy Bayesian learning to improve Rubinstein model.First,the advantages and disadvantages of different green electricity trading modes were compared and analyzed.The influencing factors of the price of "certificateelectricity integration" green electricity products were analyzed using a system dynamics causal loop diagram.Based on the analysis of the cost of green electricity products of power generation enterprises and the willingness to pay for green electricity price of electricity consumers,the price formation mechanism of supplydemand synergy green electricity trading under the dual carbon goals was proposed.which can provide decision-making reference for both parties in the bargaining game to determine the reserved quotation.Second,the impact of supply-side uncertainty on the synergy management of green electricity trading was analyzed.The electricity quantity determination strategy of medium to long-term green electricity trading based on power generation evaluation was proposed,and a shortterm interval forecasting model of green electricity generation power based on data-driven and deep learning was constructed.Third,the synergy management platform architecture of green electricity trading was designed based on blockchain technology.Next,a bargaining game model of supply-demand synergy green electricity trading was constructed based on bargaining game theory and MultiAgent.Based on Nash bargaining theory,the incentive-compatible synergy goal in the bargaining game between supply and demand was analyzed,that is,to pursue the maximization of one’s interests under the premise of achieving green electricity trading.Furthermore,considering the fuzzy uncertainty of market information and the intrinsic fuzziness of the thinking and language of bargaining game participants,the Bayesian learning method was improved based on fuzzy probability theory,and the fuzzy Bayesian learning method was proposed.Then,a simultaneous quotation strategy based on fuzzy Bayesian learning to improve the Zeuthen model and an alternate quotation strategy based on fuzzy Bayesian learning to improve the Rubinstein model were proposed,respectively.Finally,the practicability and effectiveness of the bargaining game model of supply-demand synergy green electricity trading based on Multi-Agent were validated through the example analysis.The results of the example analysis indicated that the fuzzy Bayesian learning method could help the intelligent agents of the supply and demand sides to learn the factual quotation information in the trading process effectively,fully accumulate quotation experience,and scientifically formulate quotation decisions,which is conducive to reducing green electricity trading costs,enhancing green electricity trading efficiency,improving the social welfare of green electricity trading,and providing valuable recommendations and inspirations for synergy management of green electricity trading.(5)Based on the preceding research results and analysis conclusions,specific recommendations for strengthening the synergy management of green electricity trading were proposed.First,from the perspective of strengthening the synergy between the supply side and demand side of green electricity to promote the largescale development of green electricity trading,suggestions were proposed to strengthen the synergetic cooperation among stakeholders and stimulate the willingness of the demand side to participate in green electricity trading;suggestions were recommended to innovatively apply digital intelligence technology and promote flexible green electricity trading through the synergy of supply and demand.Second,based on the practical need for accelerated construction of the new power system and the national unified power market under the dual carbon goals,suggestions were put forward to establish a multidimensional synergetic green electricity market-oriented trading system in stages and orderly.Suggestions were put forward to strengthen the management of midto-long-term and spot-term multiple time scales synergetic green electricity trading to promote the normalization of green electricity trading;suggestions were proposed to strengthen the management of inter-provincial and intra-provincial multi-spatial scale synergetic green electricity trading to promote the wide-ranging development of green electricity trading;suggestions were put forward to strengthen the multi-market synergy management of electricity,green certificate,and carbon trading to promote the high-quality development of green electricity trading,to help achieve the green and low-carbon transition of energy and the dual carbon goals.Based on the summary of the main research content and research results,this paper conducted in-depth analysis and research on the critical issues in the synergy management of green electricity trading under the dual carbon goals,which can provide a theoretical reference value for researchers and managers in related fields,and provide beneficial synergy management enlightenment for green electricity trading stakeholders,which is conducive to the large-scale,normalized,wideranging,and high-quality development of green electricity trading.It can support constructing the new power system,promote the green and low-carbon energy transition,and help achieve the dual carbon goals.