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考虑量化储热的多区域电–热综合能源系统优化调度 被引量:22

Optimal Scheduling of Multi-regional Integrated Power and Heating System Considering Quantified Thermal Storage
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摘要 多区域电–热综合能源系统(integratedpowerand heatingsystem,IPHS)是包含多个独立供热系统的跨区域电热耦合系统,其供热管网储热能力具有巨大调控潜力。但目前IPHS调度未考虑储热量化和储热主动调控,造成管网热损增加、管道加速老化等诸多问题,严重影响管网储热潜力的灵活利用。因此,该文提出一种考虑量化储热的多区域IPHS优化调度方法。首先,考虑供热管网储热特性和多区域调度的计算效率需求,基于一阶隐式迎风差分改进并简化供热管网模型,建立供热管网的虚拟蓄热罐模型;在此基础上,提出供热系统热储能状态指标(state of thermal storage,SOTS),用于一次管网储热量化,并建立管网储热的量化调控指标;最后,结合1–bin机组组合模型构建多区域IPHS优化调度模型,将管网储热调控目标加入IPHS优化调度目标,并利用混合整数二次规划求解器求解,得到IPHS优化调度方案。算例分析验证了该方法在提升IPHS机组经济性、促进风电消纳、降低热损量等方面的有效性。 Integrated power and heating system(IPHS)usually contains several independent heating systems,and the thermal storage capacity of the heating networks contains large potential.However,current optimal scheduling of IPHS does not consider thermal storage quantification and active regulation of thermal storage,resulting in many problems such as increased heat loss and accelerated aging of pipelines.These problems have greatly affected the flexible utilization of thermal storage of heating networks.Therefore,an optimal scheduling method for multi-regional IPHS considering quantified thermal storage was proposed.Firstly,the heating network model was improved by the first-order upwind difference and topology simplification considering the computational burden of multi-regional dispatch,and a virtual thermal storage tank model for heating network was proposed.Then,a quantitative indicator SOTS(state of thermal storage)and a dispatch indicator for thermal storage of primary pipe networks were derived.Finally,combined with the 1-bin unit commitment model,a multi-region IPHS optimal scheduling method combined with the objective of network storage regulation was established based on mixed integer quadratic programming to obtain the optimal scheduling scheme of IPHS.The effectiveness of this method in reducing the cost of power and heating units,promoting the wind power consumption and reducing the heat loss was verified by the case studies.
作者 栗海润 穆云飞 贾宏杰 余晓丹 张嘉睿 唐志鹏 LI Hairun;MU Yunfei;JIA Hongjie;YU Xiaodan;ZHANG Jiarui;TANG Zhipeng(Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Nankai District,Tianjin 300072,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2021年第S01期16-27,共12页 Proceedings of the CSEE
基金 国家自然科学基金项目(U1766210)
关键词 电–热综合能源系统 多区域系统 量化储热 优化调度 integrated power and heating system multi-regional system thermal storage quantification optimal scheduling
作者简介 栗海润(1997),男,博士研究生,主要研究方向为综合能源优化调度,hairunli@tju.edu.cn;通讯作者:穆云飞(1984),男,博士,教授,博士生导师,主要研究方向为电力系统稳定性分析、综合能源系统能量管理,yunfeimu@tju.edu.cn;贾宏杰(1973),男,博士,教授,博士生导师,主要研究方向为综合能源系统及智能电网领域的建模、优化、分析及控制,hjjia@tju.edu.cn。
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