考虑供热系统建模的综合能源系统最优能流计算方法

doi:10.19595/j.cnki.1000-6753.tces.L80501

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (12697 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract With the development of social economy and technology, the integrated energy system has become one of the most important trends for the energy field in the future. Electro-thermal coupled integrated energy system developed rapidly. The joint optimization of electric and thermal systems can improve the fuel utilization and save operation costs. However, the current studies on energy flow for electro-thermal coupling system are mainly for power system. The characteristics of the pipe network and the relevance between heat load and user temperature are not modeled precisely. So it cannot reflect sufficiently actual operation characteristics of electro-thermal coupling system. Based on the characteristics of the heat pipe network branch characteristics and the steady-state models of key equipment such as radiators and heat exchangers, this paper presents a precise steady-state energy flow calculation model of the thermal system, considering the energy supply of the thermal system and network constraints. Moreover, taking the output of combined heat and power units and the output of electric boilers as adjusting variable, an optimal energy flow solution method for the electro-thermal coupling integrated energy system is proposed based on the interior point method. Finally, a case test is conducted to verify the feasibility and effectiveness of the proposed optimal power flow solution method.

Key words： Thermal system modeling integrated energy system optimal energy flow interior point method

Received: 01 July 2018 Published: 31 January 2019

PACS:

TM732

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhang Yizhi
	Wang Xiaojun
	He Jinghan
	David Wenzhong Gao

Cite this article:

Zhang Yizhi,Wang Xiaojun,He Jinghan等. Optimal Energy Flow Calculation Method of Integrated Energy System Considering Thermal System Modeling[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 562-570.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.L80501 OR https://dgjsxb.ces-transaction.com/EN/Y2019/V34/I3/562

[1] 余晓丹, 徐宪东, 陈硕翼,等. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1):1-13.
YuXiaodan, XuXiandong, Chen Shuoyi, et al. A brief review to integrated energy system and energy internet[J]. Transactions of China Electrotechnical Society, 2016, 31(1):1-13.
[2] Stanislav P, Bryan K, Tihomir M.Smart grids better with integrated energy system[C]// Electrical Power & Energy Conference,Canada, 2010:1-8.
[3] 卫志农, 胡文旺, 孙国强, 等. 含VSC-HVDC 的暂态稳定约束最优潮流[J]. 中国电机工程学报, 2013, 33(28): 50-58.
Wei Zhinong, Hu Wenwang, Sun Guoqiang, et al.Transient stability constrained optimal power flow considering of VSC-HVDC integration[J]. Proceedings of the CSEE, 2013, 33(28): 50-58.
[4] 李尹, 张伯明, 孙宏斌, 等. 基于非线性内点法的安全约束最优潮流(一)理论分析[J]. 电力系统自动化, 2007, 31(19): 7-13.
Li Yin,Zhang Boming,Sun Hongbin,et al.Security constrained optimal power flow based on nonlinear interior point method part one theory analysis[J].Automation of Electric Power Systems,2007,31(19): 7-13.
[5] 王家融, 艾欣, 王坤宇,等. 基于增广雅可比矩阵的交直流解耦潮流新算法[J]. 电工技术学报, 2018, 33(6):1382-1389.
WangJiarong, Ai Xin, Wang Kunyu, et al. A novel AC-DC decoupled power flow calculation method based on the augmented Jacobianmatrix[J]. Transactions of China Electrotechnical Society, 2018, 33(6):1382-1389.
[6] 韩禹歆, 陈来军, 王召健, 等. 基于自适应步长ADMM的直流配电网分布式最优潮流[J]. 电工技术学报, 2017, 32(11):26-37.
Han Yuxin, Chen Laijun, Wang Zhaojian, et al.Distributed optimal power flow in direct current distribution network based on alternative direction method of multipliers with dynamic step size[J].Transactions of China Electrotechnical Society, 2017, 32(11):26-37.
[7] 王雅平, 林舜江, 杨智斌, 等. 微电网多目标随机动态优化调度算法[J]. 电工技术学报, 2018, 33(10): 2196-2207.
Wang Yaping, Lin Shunjiang, Yang Zhibin, et al.Multi-objective stochastic dynamic optimal dispatch algorithm of microgrid[J]. Transactions of China Electrotechnical Society, 2018, 33(10): 2196-2207.
[8] 王晓霞, 赵立华, 邹平华, 等. 基于图论的空间热网拓扑结构[J]. 计算物理, 2014, 31(2): 207-215.
Wang Xiaoxia, Zhao Lihua, ZouPinghua, et al. Topology structureof spatial heat-supply network based on graph theory[J]. ChineseJournal of Computational Physic, 2014, 31(2): 207-215.
[9] Liu X, Jenkins N, Wu J, et al.Combined analysis of electricity andheat networks[D]. Cardiff: Cardiff University, 2014.
[10] 卢志刚, 隋玉珊, 冯涛, 等. 考虑储热装置与碳捕集设备的风电消纳低碳经济调度[J]. 电工技术学报, 2016, 31(17): 41-51.
Lu Zhigang, Sui Yushan, Feng Tao, et al.Wind poweraccommodation low-carbon economic dispatchconsidering heat accumulator and carbon capturedevices[J]. Transactions of China ElectrotechnicalSociety, 2016, 31(17): 41-51.
[11] 吴巍, 汪可友, 李国杰,等. 提升风电消纳区间的鲁棒机组组合[J]. 电工技术学报, 2018, 33(3):523-532.
Wu Wei, Wang Keyou, Li Guojie, et al.Robust unit commitment to improve the admissible region of wind power[J]. Transactions of China Electrotechnical Society, 2018, 33(3):523-532.
[12] Geidl M, Andersson G.Optimal power flow of multiple energy carriers[J]. IEEE Transactions on Power Systems, 2007, 22(1):145-155.
[13] Bozchalui M C, Hashmi S A, Hassen H, et al.Optimal operation of residential energy hubs in smart grids[J]. IEEE Transactions on Smart Grid, 2012, 3(4):1755-1766.
[14] Liu Xuezhi, Jenkins N, Wu Jianzhong, et al.Combined analysis of electricity and heat networks[J]. Energy Procedia, 2014, 61:155-159.
[15] 徐青山, 曾艾东, 王凯,等. 基于Hessian内点法的微型能源网日前冷热电联供经济优化调度[J]. 电网技术, 2016, 40(6):1657-1665.
XuQingshan, Zeng Aidong, Wang Kai, et al. Day-ahead optimized economic dispatching for combined cooling, heating andpower in micro energy-grid based on hessian interior point method[J]. Power System Technology, 2016, 40(6):1657-1665.
[16] 靳小龙, 穆云飞, 贾宏杰,等. 考虑配电网重构的区域综合能源系统最优混合潮流计算[J]. 电力系统自动化, 2017, 41(1):18-24.
Jin Xiaolong, Mu Yunfei, JiaHongjie, et al. Calculation of optimal hybrid power flow for integrated community energy system considering electric distribution network reconfiguration[J]. Automation of Electric Power Systems, 2017, 41(1):18-24.
[17] 徐岩, 杨文涛, 齐峰,等. 供热管网分布参数模型与电热耦合网络协同规划[J]. 电力建设, 2017, 38(7):77-87.
Xu Yan, Yang Wentao, Qi Feng, et al.A distributed parameter model of heating pipe networks and coordinated planning of electrical and heating coupled systems[J]. Electric Power Construction, 2017, 38(7):77-87.
[18] 夏天,陈瑜玮,郭庆来,等.基于PSASP的电热耦合能源系统潮流计算[J]. 电力自动化设备,2017, 37(6):55-61.
Xia Tian, Chen Yuwei, GuoQinglai, et al. Power flow calculation based on PSASP for combined thermal and electric energy system[J]. Electric Power Automation Equipment, 2017, 37(6):55-61.
[19] 刘述欣, 戴赛, 胡林献,等. 电热联合系统最优潮流研究[J]. 电网技术, 2018, 42(1):285-290.
Liu Xuxin, Dai Sai, Hu Linxian, et al.Study on optimal power flow of combined electro-thermal system[J]. Power System Technology, 2018, 42(1):285-290.
[20] 邓佳乐, 胡林献, 邵世圻,等. 电热联合系统多时间尺度滚动调度策略[J]. 电网技术, 2016, 40(12):3796-3802.
Deng Jiale, Hu Linxian, Shao Shiqi, et al.Multi-time scale rolling scheduling method for combined heat and power system[J]. Power System Technology, 2016, 40(12):3796-3802.
[21] 王思莹. 集中供热管网热力工况研究[D]. 哈尔滨: 哈尔滨工业大学, 2010.
[22] 李堃. 热水集中供热系统热力工况研究[D]. 哈尔滨:哈尔滨工业大学, 2011.
[23] 陈瑜玮. 电-热耦合多能流系统的潮流计算和优化调度研究[D].北京: 清华大学, 2016.