范宏,郑涵,田书欣
FAN Hong,ZHENG Han,TIAN Shuxin

• 1:上海电力大学电气工程学院

摘要(Abstract)：

为实现电力系统低碳化发展与新能源有效消纳，提出考虑风电不确定性和动态碳配额的虚拟电厂优化调度模型。首先，构建了源-荷-碳捕集协同的低碳循环系统，引入光热电站作为灵活性资源，利用其光-热-电转化的储能特性为碳捕集系统提供能耗支撑。其次，针对风电出力随机性，采用基于曼哈顿距离的场景生成-削减方法构建典型场景，并提出基于风电渗透率的动态碳配额修正机制，建立随风电占比实时反向调整的碳配额模型。最后，建立碳捕集电厂、光热电站与风电机组协同的虚拟电厂优化调度模型，以系统运行成本最小化为目标进行全局寻优。算例仿真表明，在实现运行成本最优化的同时，联合优化模型能够大幅提升系统的风电消纳水平，并有效降低碳排放量。
To promote low-carbon development of power systems and facilitate effective accommodation of renewable energy, this paper proposes an optimal dispatch model for virtual power plants(VPPs) that accounts for wind power uncertainty and dynamic carbon quotas. First, a low-carbon cyclical system coordinating generation, load, and carbon capture is established, introducing a concentrating solar power(CSP) plant as a flexible resource. Its energy storage characteristics of solar-thermal-electric conversion provide energy consumption support for the carbon capture system. Second, to address the stochastic nature of wind power output, a scenario generation and reduction method based on Manhattan distance is used to construct representative scenarios. A dynamic carbon quota adjustment mechanism based on wind power penetration is proposed, establishing a carbon quota model that adjusts in real time according to the proportion of wind generation. Finally, an optimal dispatch model for VPPs, coordinating carbon capture plants, CSP plants, and wind farms, is developed, with a global optimization performed to minimize total system operating costs. Case studies demonstrate that, while achieving operating cost optimization, the integrated optimal dispatch model significantly enhances wind power accommodation and effectively reduces carbon emissions.

关键词(KeyWords)： 虚拟电厂;碳捕集;优化调度;不确定性
VPP;carbon capture;optimal dispatch;uncertainty

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划（2022YFB2402800）

作者(Author): 范宏,郑涵,田书欣
FAN Hong,ZHENG Han,TIAN Shuxin

DOI: 10.19585/j.zjdl.202606003

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