计及P2P交易的多虚拟电厂机会约束优化调度模型

Chance constrained optimal scheduling model of multi-virtual power plants considering cooperation satisfaction

中文关键词: 虚拟电厂  P2P交易  机会约束规划  广义纳什议价

英文关键词: virtual power plant  P2P transactions  chance constrained programming  generalized Nash bargaining

中文摘要:

      多虚拟电厂优化在能量交互上相较于单虚拟电厂具备显著优势。通过连接多个虚拟电厂,能够形成更广泛的能源网络,实现更高效的能源配置和利用,提升能源交互的灵活性和可靠性。因此,提出计及合作满意度的多虚拟电厂机会约束优化调度模型。首先考虑虚拟电厂P2P交易,构建以总运行成本最小为目标的多虚拟电厂合作博弈模型。接着采用机会约束规划方法处理光伏的出力不确定性对虚拟电厂优化结果的影响,规避光伏出力的不确定造成的失负荷风险。然后提出基于合作满意度的广义纳什议价方法,实现合作剩余的合理分配。最后通过算例验证该方法能够提供兼顾经济性和可靠性的多虚拟电厂合作交易策略,提高虚拟电厂的合作积极性。

英文摘要:

      Compared with a single virtual power plant, multi-virtual power plants optimization has significant advantages in energy interaction. By connecting multiple virtual power plants, a broader energy network can be formed to achieve more efficient energy allocation and utilization, and improve the flexibility and reliability of energy interaction. Therefore, a chance constrained optimal scheduling model for multi-virtual power plants considering cooperation satisfaction is proposed. Firstly, P2P transactions between virtual power plants are considered, and a cooperative game model for multi-virtual power plants is constructed with the goal of minimizing total operating costs. Then,chance constrained optimal programming method is used to address the impact of photovoltaic output uncertainty on the optimization results of virtual power plants, avoiding the risk of load loss caused by uncertainty in photovoltaic output. Then, a generalized Nash bargaining method based on cooperation satisfaction is proposed to achieve a reasonable allocation of cooperation surplus. Finally, an example is used to verify that this method can provide a multi-virtual power plant cooperative trading strategy that takes into account both economy and reliability, and improves the enthusiasm for cooperation among virtual power plants.