面向工程应用的用户级综合能源系统规划

doi:10.19595/j.cnki.1000-6753.tces.191056

Abstract
Figure/Table
References (31)
Related Citation (15)

Download: PDF (1528 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract The user-level integrated energy system(UIES) can improve the energy efficiency and economy. A planning process and method of UIES was proposed for practical engineering. Firstly, the overall model and key equipment model of UIES were established to describe the conversion and flow relations of various energies in long-term operation. Secondly, the planning process was put forward containing four steps: preliminary data collection capacity, load forecasting, CCHP capacity pre-configuration, equipment selection and configuration. At the meantime, an optimization planning model was established as well. The model took the construction and operation cost of the full planning cycle as the target, and constraints of maximum load, annual total energy, equipment operation, user construction land and other conditions have been taken into account. The problem was solved using YALMIP toolkit and CPLEX solver through Matlab. Finally, two typical examples verified the validity of the described method in different energy consumption types and energy consumption scenarios. Sensitivity analysis was conducted on key factors such as the annual maximum utilization hours of equipment, the proportion of consumer electrical load, and the price of natural gas.

Key words： User-level integrated energy system(UIES) planning engineering application combined cooling heating and power system(CCHP) natural gas price sensitivity analysis

Received: 26 August 2019

PACS:

TM74:TK01+9

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhou Changcheng
	Ma Xiyuan
	Guo Zuogang
	Hu Yang

Cite this article:

Zhou Changcheng,Ma Xiyuan,Guo Zuogang等. User-Level Integrated Energy System Planning for Engineering Applications[J]. Transactions of China Electrotechnical Society, 2020, 35(13): 2843-2854.

URL:

https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.191056 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I13/2843

[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.
Yu Xiaodan, Xu Xiandong, Chen Shuoyi, et al.Brief introduction of integrated energy system and energy Internet[J]. Transactions of China Electrotechnical Society, 2016, 31(1): 1-13.
[2] 马溪原, 郭晓斌, 董朝阳,等. 能源互联网的形态与试点构想[J]. 南方电网技术, 2016, 10(8): 2-10.
Ma Xiyuan, Guo Xiaobin, Dong Zhaoyang, et al.Features and demonstration prospect of energy internet[J]. Southern Power System Technology, 2016, 10(8): 2-10.
[3] 周长城, 马溪原, 郭晓斌, 等. 基于主从博弈的工业园区综合能源系统互动优化运行方法[J]. 电力系统自动化, 2019, 43(7): 74-80.
Zhou Changcheng, Ma Xiyuan, Guo Xiaobin, et al.Leader-follower game based optimized operation method for interaction of integrated energy system in industrial park[J]. Automation of Electric Power Systems, 2019, 43(7): 74-80.
[4] 韩佶, 苗世洪, 李超, 等. 计及相关性的电-气-热综合能源系统概率最优能量流[J]. 电工技术学报, 2019, 34(5): 1055-1067.
Han Ji, Miao Shihong, Li Chao, et al.Probabilistic optimal energy flow of electricity-gas-heat integrated energy system considering correlation[J]. Transactions of China Electrotechnical Society, 2019, 34(5): 1055-1067.
[5] 刘佳, 徐谦, 程浩忠, 等. 计及主动配电网转供能力的可再生电源双层优化规划[J]. 电工技术学报, 2017, 32(9):179-188.
Liu Jia, Xu Qian, Cheng Haozhong, et al.Bi-level optimal renewable energy sources planning considering active distribution network power transfer capability[J]. Transactions of China Electrotechnical Society, 2017, 32(9): 179-188.
[6] 程浩忠, 胡枭, 王莉, 等. 区域综合能源系统规划研究综述[J]. 电力系统自动化, 2019, 43(7): 2-13.
Cheng Haozhong, Hu Xiao, Wang Li, et al.Review on research of regional integrated energy system planning[J]. Automation of Electric Power Systems, 2019, 43(7): 2-13.
[7] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J]. 电工技术学报, 2019, 34(15): 3231-3243.
Chen Bohan, Feng Wei, Sun Kai, et al.Multi-energy storage system and islanded optimal dispatch method of CCHP[J]. Transactions of China Electrotechnical Society, 2019, 34(15): 3231-3243.
[8] 陈聪, 沈欣炜, 夏天, 等. 计及?效率的综合能源系统多目标优化调度方法[J]. 电力系统自动化, 2019, 43(12): 60-67.
Chen Cong, Shen Xinwei, Xia Tian, et al.Multi-objective optimal dispatch method for integrated energy system considering exergy efficiency[J]. Automation of Electric Power Systems, 2019, 43(12): 60-67.
[9] 周灿煌, 郑杰辉, 荆朝霞, 等. 面向园区微网的综合能源系统多目标优化设计[J]. 电网技术, 2018, 42(6): 1687-1696.
Zhou Canhuang, Zhen Jiehui, Jin Zhaoxia, et al.Multi-objective optimal design of integrated energy system for park-level microgrid[J]. Power System Technology, 2018, 42(6): 1687-1696.
[10] 刘迪, 吴俊勇, 林凯骏, 等. 基于Kriging模型的综合能源系统规划方法[J]. 电网技术, 2019, 43(1): 211-220.
Liu Di, Wu Junyong, Lin Kaijun, et al.A planning method of integrated energy system based on kriging model[J]. Power System Technology, 2019, 43(1): 211-220.
[11] 杨艳红, 裴玮, 齐智平. 基于动态运行策略的混合能源微网规划方法[J]. 电力系统自动化, 2012, 36(19): 30-36.
Yang Yanhong, Pei Wei, Qi Zhiping.Planning method for hybrid energy microgrid based on dynamic operation strategy[J]. Automation of Electric Power Systems, 2012, 36(19): 30-36.
[12] 蒋超凡, 艾欣. 计及多能耦合机组不确定性的综合能源系统运行优化模型研究[J]. 电网技术, 2019, 43(8):2843-2852.
Jiang Chaofan, Ai Xin.Integrated energy system operation optimization model considering uncertainty of multi-energy coupling units[J]. Power System Technology, 2019, 43(8): 2843-2852.
[13] 张筱慧, 李佳馨, 张璐, 等. 考虑联络线峰谷差和电网运行效益的综合能源系统规划[J]. 电力自动化设备, 2019, 39(8): 195-202.
Zhang Xiaohui, Li Jiaxin, Zhang Lu, et al.Integrated energy system planning considering peak-to-valley difference of tie line and operation benefit of power grid[J]. Electric Power Automation Equipment, 2019, 39(8): 195-202.
[14] 徐雨田, 廖清芬, 刘涤尘, 等. 市场环境下考虑主动管理措施的双层综合能源规划方法[J]. 电力系统自动化, 2018, 42(18): 114-122.
Xu Yutian, Liao Qingfen, Liu Dichen, et al.Bi-level integrated energy planning method considering active management measures in electricity market environment[J]. Automation of Electric Power Systems, 2018, 42(18): 114-122.
[15] CJJ145—2010燃气冷热电三联供工程技术规程[S]. 2010.
[16] DL/T5729—2016配电网规划设计技术导则[S]. 2016.
[17] 王毅, 张宁, 康重庆, 等. 电力用户行为模型:基本概念与研究框架[J]. 电工技术学报, 2019, 34(10): 2057-2068.
Wang Yi, Zhang Ning, Kang Zhongqing, et al.Electrical consumer behavior model: basic concept and research framework[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2057-2068.
[18] CJJ 34—2010城镇供热管网设计规范[S]. 2010.
[19] Hossein E, Mahmood C, Madjid H, et al.Techno-economic evaluation of a new CCHP system with a hydrogen production unit[J]. International Journal of Low Carbon Technologies, 2019, 14(2): 170-186.
[20] 马溪原, 周长城, 刘育权, 等. 工业园区用户侧电池储能系统运营模式及其经济性分析[J]. 南方电网技术, 2018, 12(3): 44-51.
Ma Xiyuan, Zhou Changcheng, Liu Yuquan, et al.Business mode and economic analysis of user-side battery energy storage system in industrial parks[J]. Southern Power System Technology, 2018, 12(3): 44-51.
[21] GB 50736—2016 民用建筑供暖通风与空气调节设计规范[S]. 2016.
[22] Gianfranco C, Pierluigi M.Matrix modelling of small-scale trigeneration systems and application to operational optimization[J]. Energy, 2009, 34(3): 261-273.
[23] Huang Wujing, Zhang Ning, Yang Jiawei, et al.Optimal configuration planning of multi-energy systems considering distributed renewable energy[C]// 2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, 2019: 1.
[24] Zhou Zhe, Liu Pei, Li Zheng, et al.An engineering approach to the optimal design of distributed energy systems in China[J]. Applied Thermal Engineering, 2013, 53(2): 387-396.
[25] Cheng Yu, Zhang Chengwei.Configuration and operation combined optimization for EV battery swapping station considering PV consumption bundling[J]. Protection and Control of Modern Power Systems, 2017, 2(1): 26.
[26] 广州市气象台. 2017年广州市气候公报[R]. 2017.
[27] 粤发改价格〔2019〕191号广东省发展改革委关于降低我省一般工商业电价有关事项的通知[Z].
[28] 发改价格规〔2017〕1582号国家发展改革委关于降低非居民用天然气基准门站价格的通知[Z].
[29] 粤发改价格〔2018〕394号关于降低我省天然气发电上网电价的通知[Z].
[30] 发改价格〔2019〕761号国家发展改革委关于完善光伏发电上网电价机制有关问题的通知[Z].
[31] GB/T 33342—2016户用分布式光伏发电并网接口技术规范[S]. 2016.