基于纳什议价的多微网综合能源系统分布式低碳优化运行策略

Distributed Low-carbon Optimal Operation Strategy of Multi-microgrids Integrated Energy System Based on Nash Bargaining

针对当前多微网能源交易中未充分考虑供能侧与需求侧的互动关系,且随着碳交易市场的全面发展,多主体在碳交易机制下能源交易时的利益交互关系需深入挖掘等问题,提出一种基于纳什议价的多微网综合能源系统分布式低碳优化运行策略。首先,综合考虑多微网综合能源系统能源交易中各微网运营商以及用户的利益诉求,基于纳什议价理论构建碳交易机制下多个微网运营商与代表整个多微网用户侧利益的负荷聚合商的合作运行模型。其次,在证明所提纳什议价模型可以最大化社会效益的基础上,将原问题转化为易于求解的两个子问题,运用交替方向乘子法先后对两个子问题进行分布式求解,在交互有限信息的基础上达到博弈均衡,充分保证了各交易主体的信息隐私。最后,通过算例对比证明了所提方法在减少碳排放、提升个体效益和社会效益上的有效性,并深入分析了在碳交易机制下多主体合作运行减少碳排放的综合原因。

In view of the problems that the current multi-microgrids energy trading does not fully consider the interaction between the energy supply side and the user side,and that with the comprehensive development of the carbon trading market,the interest interaction relationship of multi-agent transactions under the carbon trading mechanism needs to be deeply explored,this paper proposes a distributed low-carbon optimal operation strategy of multi-microgrids integrated energy system based on Nash bargaining.Firstly,considering the interests of the microgrid operators and users in the energy transaction of the multi-microgrids integrated energy system,the cooperative model under the carbon trading mechanism for multiple microgrid operators and load aggregators which represent the interests of the entire multi-microgrids users is established based on the Nash bargaining.Secondly,on the basis of ensuring that the proposed Nash bargaining model can maximize the social benefits,the original problem is transformed into two easier-to-solve sub-problems.The alternating direction method of multipliers is used to successively solve the two sub-problems in a distributed manner.The game equilibrium realizes on the basis of exchanging the limited information so that the information privacy of every transaction subject can be fully ensured.Finally,the effectiveness of the proposed method is demonstrated in reducing carbon emissions and improving individual and social benefits through the comparison of different cases.The comprehensive reasons for multi-agent cooperative operation to reduce carbon emissions under the carbon trading mechanism is deeply analyzed.