基于能源-碳综合定价的多代理斯塔克尔伯格博弈虚拟电厂和多能源系统的交易策略

Yanyu Yan, Shiwei Xie, Jianlin Tang, Bin Qian, Xiaoming Lin, Fan Zhang
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摘要

虚拟发电厂(VPP)能够利用先进的控制技术聚合众多分散的分布式能源资源,为低碳发展提供了一种前景广阔的方法。为了提高虚拟发电厂对减少碳排放的贡献,本文提出了一个包含综合能源-碳价格反应机制的双层框架。该模型通过多代理斯塔克尔伯格博弈框架,让自愿减排者参与到多能源系统中。首先,建立一个交易模型,配电系统运营商和配气系统运营商作为领导者,而虚拟发电厂运营商作为多能源系统中的追随者。随后,引入以碳排放流理论为基础的综合能源碳定价方法,鼓励虚拟发电厂在多能源系统中主动调整能源使用和交易策略,从而促进多主体互动交易。为实现多主体间的分布式解决方案,同时维护各主体的信息隐私,采用了自适应步长交变方向乘法。随后,通过案例研究证明了所提模型和方法的可行性和有效性。
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Transaction strategy of virtual power plants and multi-energy systems with multi-agent Stackelberg game based on integrated energy-carbon pricing
A virtual power plant (VPP) has the ability to aggregate numerous decentralized distributed energy resources using advanced control technology, offering a promising approach for low-carbon development. In order to enhance the VPP’s contribution to reducing carbon emissions, a bi-level framework is proposed that incorporates an integrated energy-carbon price response mechanism. This model allows VPPs to participate in a multi-energy system through a multi-agent Stackelberg game framework. Initially, a transaction model is established where the power distribution system operator and the gas distribution system operator act as leaders, while the virtual power plant operator acts as a follower in the multi-energy system. Subsequently, an integrated energy-carbon pricing method, rooted in carbon emission flow theory, is introduced to encourage VPPs to proactively adjust their energy-use and trading strategies within multi-energy systems, thereby promoting multi-principal interactive trading. To achieve a distributed solution among multiple entities while maintaining the privacy of each entity’s information, the adaptive step-size alternating direction multiplier method is employed. The feasibility and effectiveness of the proposed model and method are then demonstrated through case studies.
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