多能源互补的虚拟电厂低碳调度研究  

Research on low-carbon scheduling of virtual power plants with complementary multi-energy sources

作　　者：张明光[1,2,3] 赵文渊 李鹏程 ZHANG Mingguang;ZHAO Wenyuan;LI Pengcheng(School of Electrical and Information Engineering,Lanzhou University of Technology;Gansu Provincial Key Laboratory of Advanced Control of Industrial Processes;Lanzhou University of Technology Electrical and Control Engineering National Experimental Teaching Demonstration Center,Gansu Lanzhou 730050,China)

机构地区：[1]兰州理工大学电气工程与信息工程学院 [2]甘肃省工业过程先进控制重点实验室 [3]兰州理工大学电气与控制工程国家级实验教学示范中心,甘肃兰州730050

出　　处：《工业仪表与自动化装置》2022年第5期76-83,共8页Industrial Instrumentation & Automation

基　　金：国家自然基金(71963024)。

摘　　要：为了有效降低电力系统的运行成本及碳排放量,该文在分析各机组运行特点的基础上,充分考虑火电机组发电成本、可再生能源运行维护成本、碳排放权收益及各项约束条件,通过合理调度风能、光能和水能等可再生能源发电使综合成本最优,提出多能源互补的虚拟电厂低碳调度模型,通过合理调度风险、光能和水能等可再生能源发电使综合成本最优。算例采用北方某风光发电基地实测数据,并基于粒子群算法进行分析获得多个场景下风光预测功率。算例仿真结果表明所提模型能够降低系统运行成本、减少CO_(2)排放量。In this paper,a multi-energy complementary low-carbon dispatching model is proposed for virtual power plants,which can effectively reduce the operating cost and carbon emission of the power system.On the basis of analyzing the operation characteristics of each unit,the power generation cost of thermal power units,the operation and maintenance cost of renewable energy,the income of carbon emission rights and various constraints are fully considered.A low-carbon dispatching model of multi-energy complementary virtual power plants is proposed,and the comprehensive cost is optimized by rationally dispatching power generation from renewable energy sources such as wind energy,solar energy and hydropower.The calculation example used the measured data of a wind power generation base in North China,and obtains the wind power prediction in multiple scenarios based on the particle swarm optimization algorithm.The simulation results of an example show that the proposed model can reduce the operating cost of the system and reduce the carbon dioxide emission.

关 键 词：碳捕集机组 可再生能源 虚拟电厂 优化调度方法 

分 类 号：TM731[电气工程—电力系统及自动化]