基于古诺模型的热电厂电锅炉和储热优化配置  

Optimal Configuration of Electric Boilers and Thermal Storage in Multi Thermal Power Plants Based on Cournot Model

作　　者：孙广明 张卫国[1,2] 周静 刘鸿鹏[4] SUN Guangming;ZHNAG Weiguo;ZHOU Jing;LIU Hongpeng(NARI Group Corporation(State Grid Electric Power Research Institute),Nanjing 211106,Jiangsu,China;NARI Technology Co.,Ltd.,Nanjing 211106,Jiangsu,China;NARI-tech Control System Co.,Ltd.,Nanjing 211106,Jiangsu,China;College of Electrical Engineering,Northeast Electric Power University,Jilin 132012,Jilin,China)

机构地区：[1]南瑞集团(国网电力科学研究院)有限公司,江苏南京211106 [2]国电南瑞科技股份有限公司,江苏南京211106 [3]国电南瑞南京控制系统有限公司,江苏南京211106 [4]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电气传动》2023年第3期56-63,共8页Electric Drive

基　　金：国家电网有限公司总部科技项目(1400-202057442A-0-0-00)。

摘　　要：将电锅炉和储热系统集成到电热联合系统中是提高系统灵活性以及风电消纳的可行方案。为了综合考虑不同热电厂多主体配置电锅炉和储热系统,兼顾考虑调峰市场的出清价格,提出了一种基于古诺模型的多个热电厂博弈电锅炉和储热系统优化配置模型。从热电厂主体角度出发,构建基于古诺模型的热电厂年化调峰净收益最大为目标的上层优化模型;其次,以组合场景下的总燃料成本消耗最小和弃风最小为目标建立含电锅炉和储热系统的最优调度模型。最后分别基于实际9节点系统的仿真算例,验证了所提模型的合理性和有效性。The integration of electric boiler and thermal storage system into power system is a feasible scheme to improve system flexibility and wind power consumption. In order to comprehensively consider the multi-agent configuration of electric boilers and heat storage systems in different thermal power plants,and also consider the clearing price in peak shaving market,an optimal configuration model of electric boilers and heat storage systems in multiple thermal power plants based on Cournot model was proposed. From the perspective of the main body of the thermal power plant,the upper optimization model based on Cournot model was constructed to maximize the annual peak shaving net income of the thermal power plant;secondly,the optimal adjustment model of the electric boiler and heat storage system was established to minimize the total fuel consumption and the abandoned air under the combined scenario. Finally,the rationality and effectiveness of the proposed model were verified by simulation examples of 9-bus system.

关 键 词：电锅炉 储热系统 调峰市场 出清价格 古诺模型 

分 类 号：TM734[电气工程—电力系统及自动化]