计及碳交易的电-气耦合型虚拟电厂运行策略优化研究

随着双碳目标的提出,构建清洁低碳,安全高效的能源体系日益迫切。虚拟电厂(Virtual Power Plant,VPP)采用大数据等技术手段,将电力作为中心,把各种类型的负荷聚集在一起进行管理,通过协调优化技术降低成本,是重要的碳交易载体。文章构建电-气耦合型虚拟电厂(E-G VPP)参与电力市场和碳市场的架构,研究E-G VPP经济低碳运行策略优化模型。首先,构建了一种E-G VPP典型结构,提出E-G VPP参与电力市场与碳交易市场的交易模式,构建电碳交易协同的E-G VPP运行策略优化模型,并利用遗传算法对模型进行求解。最后,通过算例分析验证所提模型在经济低碳运行上的有效性。

Study on optimization of operation strategy of electric-gas coupling virtual power plant considering carbon trading

With the proposal of the dual carbon goal, it is increasingly urgent to build a clean, low-carbon, safe and efficient energy system. Virtual power plant (VPP) is an important carbon trading carrier, which uses big data and other technical means, takes power as the center, gathers various types of loads together for management, and reduces costs through coordination and optimization technology. This paper constructs the framework for E-G VPP to participate in the power market and carbon market, and studies the optimization model of the low-carbon operation strategy of E-G VPP economy. First of all, a typical structure of E-G VPP is constructed, the trading mode of E-G VPP participating in power market and carbon trading market is proposed, and the optimization model of E-G VPP operation strategy for electricity carbon trading collaboration is constructed, and the model is solved by genetic algorithm. Finally, the validity of the proposed model in low carbon economy operation is verified through an example analysis.