Study on optimized operation on integrated energy system in parks with high permeability and carbon emission constraints

doi:10.3969/j.issn.1674-1951.2021.04.001

Abstract

Abstract:

Realization carbon peak by 2030 is an urgent and tangible issue for China. Integrated energy systems for parks can coordinate different energy resources and give full play to the advantages of these resources through energy conversion and distribution. Establishing an efficient integrated energy system can promote the allocation and consumption of clean energy. Fully considering the park-oriented optimized control logical framework and functions of power storage systems, through carbon source analysis and the emission accounting,economy and carbon emission constraints were taken as the objective functions,and a multi-time-scale optimization model taking various loads' supply-demand balance and limiting conditions of coupled equipment as constraints was built. Calculation and analysis were made based on the model. The results show that the integrated power storage system can lower the operation costs of the whole energy system, increase the energy utilization, alleviate the randomness and volatility of renewable energy and load, and provide support for the optimized operation of park-oriented integrated energy systems with high permeability and carbon emission constraints.

Key words: carbon emission, carbon peak, carbon neutrality, integrated energy system, high permeability, carbon source analysis, emission accounting, power storage system, multi-time scale, optimization model

CLC Number:

TK01⁺9

YIN Shuo, GUO Xingwu, YAN Jing, YANG Qinchen, ZHANG Peng. Study on optimized operation on integrated energy system in parks with high permeability and carbon emission constraints[J]. Huadian Technology, 2021, 43(4): 1-7.

Figures/Tables 7

Fig.1

Fig.2

Tab.1

Operational parameters of the integrated energy system kW

类型	$P min$	$P max$
燃气轮机	15	60
燃气锅炉	0	50
电制冷机	0	45
电锅炉	0	50
风电	0	40
吸收式制冷机	10	30
余热锅炉	10	35
电转气系统	0	20
燃料电池	5	40
光伏	0	30

Tab.1

Tab.2

Fig.3

Tab.3

Tab.4

References 22

[1]	邵成成, 王锡凡, 王秀丽, 等. 多能源系统分析规划初探[J]. 中国电机工程学报, 2016,36(14):3817-3828.
	SHAO Chengcheng, WANG Xifan, WANG Xiuli, et al. Probe into analysis and planning of multi-energy systems[J]. Proceedings of the CSEE, 2016,36(14):3817-3828.
[2]	杨晓巳, 陶新磊. 综合能源技术路线研究[J]. 华电技术, 2019,41(11):22-25.
	YANG Xiaosi, TAO Xinlei. Research on integrated energy technical route[J]. Huadian Technology, 2019,41(11):22-25.
[3]	黎静华, 桑川川, 等. 能源综合系统优化规划与运行框架[J]. 电力建设, 2015,36(8):41-48.
	LI Jinghua, SANG Chuanchuan. Framework for integrated energy system[J]. Electric Power Construction, 2015,36(8):41-48.
[4]	程林, 张靖, 黄仁乐, 等. 基于多能互补的综合能源系统多场景规划案例分析[J]. 电力自动化设备, 2017,37(6):282-287.
	CHENG Lin, ZHANG Jing, HUANG Renle, et al. Case analysis of multi-scenario planning based on multi-energy complementation for integrated energy system[J]. Electric Power Automation Equipment, 2017,37(6):282-287.
[5]	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):185-192.
	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):185-192.
[6]	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. A brief review to integrated energy system and energy internet[J]. Transactions of China Electrotechnical Society, 2016,31(1):1-13.
[7]	贾宏杰, 王丹, 徐宪东, 等. 区域终端集成供能系统若干问题研究[J]. 电力系统自动化, 2015,39(7):198-207.
	JIA Hongjie, WANG Dan, XU Xiandong, et al. Research on some key problems related to integrated energy systems[J]. Automation of Electric Power Systems, 2015,39(7):198-207.
[8]	王毅, 张宁, 康重庆. 能源互联网中能量枢纽的优化规划与运行研究综述及展望[J]. 中国电机工程学报, 2015,35(22):5669-5681.
	WANG Yi, ZHANG Ning, KANG Chongqing, et al. Review and prospect of optimal planning and operation of energy hub in energy internet[J]. Proceedings of the CSEE, 2015,35(22):5669-5681.
[9]	章文浦, 王强钢. 基于遗传算法的分布式多能互补能源系统优化配置[J]. 华电技术, 2021,43(1):52-58.
	ZHANG Wenpu, WANG Qianggang. Optimized allocation of multi-energy complementary distributed energy system based on genetic algorithm[J]. Huadian Technology, 2021,43(1):52-58.
[10]	张尹路, 李文甲, 康利改. 智慧供热在分布式燃气供热中的应用与优化提升[J]. 华电技术, 2020,42(11):14-20.
	ZHANG Yinlu, LI Wenjia, KANG Ligai. Application and optimization of intelligent heating in distribute gas heating systems[J]. Huadian Technology, 2020,42(11):14-20.
[11]	王进, 李欣然, 杨洪明, 等. 与电力系统协同区域型分布式冷热电联供能源系统集成方案[J]. 电力系统自动化, 2014,38(16):16-21.
	WANG Jin, LI Xinran, YANG Hongming, et al. An integration scheme for DES/CCHP coordinated with power system[J]. Automation of Electric Power Systems, 2014,38(16):16-21.
[12]	孙思宇, 于成琪, 孙涛, 等. 冷热电三联供分布式能源系统研究进展[J]. 华电技术, 2019,41(11):26-31.
	SUN Siyu, YU Chengqi, SUN Tao, et al. Advance in study on CCHP distributed energy system[J]. Huadian Technology, 2019,41(11):26-31.
[13]	孙浩, 陈永华. 综合能源系统多能流联合仿真技术研究[J]. 华电技术, 2020,42(5):66-72.
	SUN Hao, CHEN Yonghua. Research on multiple energy flow co-simulation technology applied in integrated energy system[J]. Huadian Technology, 2020,42(5):66-72.
[14]	鄢晶, 高天露, 张俊, 等. 边云链协同技术在能源互联网数据管理中的应用及展望[J]. 华电技术, 2020,42(8):41-47.
	YAN Jing, GAO Tianlu, ZHANG Jun, et al. Application and prospect of edge-cloud-chain collaboration technologies for energy internet data management[J]. Huadian Technology, 2020,42(8):41-47.
[15]	彭克, 张聪, 徐丙垠, 等. 多能协同综合能源系统示范工程现状与展望[J]. 电力自动化设备, 2017,37(6):3-10.
	PENG Ke, ZHANG Cong, XU Bingyin, et al. Status and prospect of pilot projects of integrated energy system with multi-energy collaboration[J]. Electric Power Automation Equipment, 2017,37(6):3-10.
[16]	田世明, 栾文鹏, 张东霞, 等. 能源互联网技术形态与关键技术[J]. 中国电机工程学报, 2015,35(14):3482-3494.
	TIAN Shiming, LUAN Wenpeng, ZHANG Dongxia, et al. Technical forms and key technologies on energy internet[J]. Proceedings of the CSEE, 2015,35(14):3482-3494.
[17]	孙振宇, 沈明忠. 基于工业厂区的多能互补系统在微能源网的应用[J]. 华电技术, 2019,41(11):46-48.
	SUN Zhenyu, SHEN Mingzhong. Application of multi-energy complementary system in micro-energy network of an industrial plant[J]. Huadian Technology, 2019,41(11):46-48.
[18]	李洋, 吴鸣, 周海明, 等. 基于全能流模型的区域多能源系统若干问题探讨[J]. 电网技术, 2015,39(8):2230-2237.
	LI Yang, WU Ming, ZHOU Haiming, et al. Study on some key problems related to regional multi energy system based on universal flow model[J]. Power System Technology, 2015,39(8):2230-2237.
[19]	刘娣, 何仁德, 熊晓熙, 等. 碳源分析及碳排放的探讨[J]. 智库时代, 2019,27(2):145-146.
	LIU Di, HE Rende, XIONG Xiaoxi, et al. Discussion on carbon source analysis and carbon emission calculation[J]. Think Tank Era, 2019,27(2):145-146.
[20]	杨经纬, 张宁, 王毅, 等. 面向可再生能源消纳的多能源系统述评与展望[J]. 电力系统自动化, 2018,42(4):11-24.
	YANG Jingwei, ZHANG Ning, WANG Yi, et al. Multi-energy system towards renewable energy accommodation:Review and prospect[J]. Automation of Electric Power Systems, 2018,42(4):11-24.
[21]	王凌云, 杨剑, 张赟宁, 等. 计及多智能体调度的冷热电联供型微网并网优化运行研究[J]. 可再生能源, 2020,38(1):104-112.
	WANG Lingyun, YANG Jian, ZHANG Yunning, et al. Study on grid-connected optimization operation of CCHP micro-grid with multi-agent scheduling[J]. Renewable Energy Resources, 2020,38(1):104-112.
[22]	张莜慧, 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 Youhui, 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.

时段		购电价	售电价
高峰段	10:00 — 15:00 18:00 — 21:00	0.86	0.68
平时段	07:00 — 10:00 15:00 — 18:00 21:00 — 23:00	0.61	0.50
低谷段	00:00 — 07:00 23:00 — 24:00	0.30	0.26

调度模型	总运行成本/元	购电成本/元	购天然气成本/元	弃风率/%	弃光率/%
1	58 625	32 796	15 829	12.0	8.0
2	57 429	31 923	15 506	9.2	6.6
3	56 225	31 044	15 181	7.4	5.4

项目	03:00		09:00		21:00
项目	日前调度	日内调度	日前调度	日内调度	日前调度	日内调度
购电	48.00	46.23	0	-0.56	15.00	14.10
购天然气	54.00	53.50	80.00	78.00	80.00	76.00
光伏出力	0	0	16	19	0	0
风电出力	42	44	48	51	10	11
电制冷出力	38	36	40	40	34	31
燃气轮机出力	40	40	58	56	45	41
蓄电池出力	-15.00	-18.00	0	1.50	0	2.00
电锅炉出力	52.00	52.50	16.00	17.00	20.00	22.00
储气罐出力	-10.00	-12.60	0	0.22	0	0.80
冰蓄冷出力	-12.00	-11.10	16.00	17.50	0	0.50