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考虑不确定性的多微电网主从博弈低碳优化

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为提高同一区域多个不同利益主体的微电网低碳经济运行,提出了一种考虑风光不确定性的多微电网主从博弈低碳优化方法.首先,基于多智能体技术,建立以多微电网运营商为领导者、各微电网为跟随者的多微电网系统能量交互模型.其次,针对风光不确定性,并考虑各主体的运行成本、碳交易成本,建立基于条件风险价值的主从博弈模型.最后,结合遗传算法和CPLEX求解器进行求解.结果表明,该优化策略可以有效提高各主体的经济性,促进可再生能源消纳,降低碳排放量.
Low-Carbon Optimal Scheduling of Multi-Microgrid Stackelberg Game Considering Uncertainty
To improve the low-carbon economic operation of multi-microgrid with different stakeholders in the same region,a multi-microgrid Stackelberg game low-carbon optimization method considering wind and solar uncertainty is proposed.Firstly,based on multi-agent technology,an energy interaction model for a multi-microgrid system with multi-microgrid operators as leaders and each microgrid as followers is established.Then,Stackelberg game model based on conditional risk value is established to address the uncertainty of wind and solar energy,considering the operating costs and carbon trading costs of each entity.Finally,the genetic algorithm and CPLEX solver are combined to solve the problem.The results show that this optimization strategy can effectively improve the economic efficiency of each entity,promote the consumption of renewable energy,and reduce carbon emissions.

multi-microgrid systemStackelberg gamemulti-agent systemcarbon tradinguncertainty

魏晨晨、唐忠

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上海电力大学 电气工程学院,上海 200090

多微电网系统 主从博弈 多智能体 碳交易 不确定性

2024

上海电力大学学报
上海电力学院

上海电力大学学报

影响因子:0.401
ISSN:2096-8299
年,卷(期):2024.40(5)
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