Analysis on Peak Regulation Characteristics of Thermal Power Units With Integrated Heat Storage Device

doi:10.12096/j.2096-4528.pgt.24024

Abstract

Abstract:

Objectives With the intervention of new energy, the uncertainty and volatility problems of new energy output have been shown. In order to make up for the shortcomings of new energy output, thermal power units have assumed the role of peak regulation. In order to improve the peak-load capacity of thermal power units, the peak-load characteristics were studied. Methods Firstly, a 350 MW heating unit was taken as the analysis object. The simulation software was used to build the thermal system model, and the accuracy of the model was verified. Secondly, with the heat storage system as the auxiliary system, the peak-load capacity of the unit under the condition of meeting the heating demand was studied, and the influence of energy storage units such as heat storage on the peak-load capacity of the unit was analyzed. Finally, the heuristic particle swarm optimization algorithm was used to optimize the operation strategy of the storage tank, and the optimal operation mode of the storage tank changing with the heat load was obtained. Results The peak regulation and heating capacity of the unit can be effectively improved by coupling the storage water tank with the unit, and the operation mode can be determined according to the actual heat load data to maximize the benefit. Conclusions This method has guiding significance to the operation strategy of the unit.

Key words: thermal power unit, heat storage system, simulation and modeling, peak regulation, integrated heat storage device

CLC Number:

TK 11

Xiaofeng CHEN, Chuan ZUO, Ning ZHAO, Kai HUANG, Huijie WANG. Analysis on Peak Regulation Characteristics of Thermal Power Units With Integrated Heat Storage Device[J]. Power Generation Technology, 2024, 45(3): 392-400.

Figures/Tables 10

References 24

1	李雄威，王昕，顾佳伟，等．考虑火电深度调峰的风光火储系统日前优化调度[J]．中国电力，2023，56(1)：1-7．
	LI X W， WANG X， GU J W，et al ．Day-ahead optimal dispatching of wind-solar-thermal power storage system considering deep peak shaving of thermal power[J]．Electric Power，2023，56(1)：1-7．
2	周保中，刘敦楠，张继广，等．“风光火一体化”多能互补项目优化配置研究[J]．发电技术，2022，43(1)：10-18． doi:10.12096/j.2096-4528.pgt.21101
	ZHOU B Z， LIU D N， ZHANG J G，et al ．Research on optimal allocation of multi-energy complementary project of wind-solar-thermal integration[J]．Power Generation Technology，2022，43(1)：10-18． doi:10.12096/j.2096-4528.pgt.21101
3	德格吉日夫，田雪沁，王新雷，等．计及运行成本与排放量的风光火储联合外送调度多目标优化模型研究[J]．电网与清洁能源，2022，38(6)：121-128． doi:10.3969/j.issn.1674-3814.2022.06.016
	DE G， TIAN X Q， WANG X L，et al ．Research on multi-objective optimization model of the combined outward transmission dispatching of wind，solar，thermal-power and storage considering operation cost and emission[J]．Power System and Clean Energy，2022，38(6)：121-128． doi:10.3969/j.issn.1674-3814.2022.06.016
4	吴雄，贺明康，何雯雯，等．考虑储能寿命的风-光-火-储打捆外送系统容量优化配置[J]．电力系统保护与控制，2023，51(15)：66-75．
	WU X， HE M K， HE W W，et al ．Optimal capacity of a wind-solar-thermo-storage-bundled power transmission system considering battery life[J]．Power System Protection and Control，2023，51(15)：66-75．
5	王放放，杨鹏威，赵光金，等．新型电力系统下火电机组灵活性运行技术发展及挑战[J/OL]．发电技术，2023：1-12．(2023-12-28)．．
	WANG F F， YANG P W， ZHAO G J，et al ．Development and challenge of flexible operation technology of power plants under new power system[J/OL]．Power Generation Technology，2023：1-12．(2023-12-28)．．
6	张辉，顾秀芳，陈艳宁，等．考虑风电消纳的热电厂蓄热罐效益成本分析[J]．发电技术，2022，43(4)：664-672． doi:10.12096/j.2096-4528.pgt.20109
	ZHANG H， GU X F， CHEN Y N，et al ．Benefit cost analysis of thermal storage tank in thermal power plant considering wind power consumption[J]．Power Generation Technology，2022，43(4)：664-672． doi:10.12096/j.2096-4528.pgt.20109
7	成美丽，成天乐，符茜茜，等．考虑配网功率约束及可靠供暖的蓄热式电采暖系统优化调度方法[J]．电测与仪表，2024，61(2)：115-121．
	CHENG M L， CHENG T L， FU Q Q，et al ．Optimal dispatching method for regenerative electric heating system considering the heating reliability and power constraint of distribution network[J]．Electrical Measurement & Instrumentation，2024，61(2)：115-121．
8	葛星，滕佳颖，王鹏鹰．基于增量替代的蓄热式电采暖系统推广模式研究[J]．内蒙古电力技术，2022，40(4)：74-80．
	GE X， TENG J Y， WANG P Y ．Research on extension mode of regenerative electric heating system based on incremental substitution[J]．Inner Mongolia Electric Power，2022，40(4)：74-80．
9	杨玉龙，王淞，陈韬，等．基于蓄热水箱温度可行域模糊确定的电锅炉优化调度方法[J]．电力建设，2023，44(7)：111-120．
	YANG Y L， WANG S， CHEN T，et al ．Optimal scheduling method of electric boiler based on fuzzy determination of temperature feasible region of hot water storage tank[J]．Electric Power Construction，2023，44(7)：111-120．
10	靳文睿，张靖，曹祥，等．采用城市供暖管网低温回水的热泵供暖系统性能分析[J]．制冷技术，2020，40(6)：66-69． doi:10.3969/j.issn.2095-4468.2020.06.205
	JIN W R， ZHANG J， CAO X，et al ．Performance analysis of heat pump heating system using low temperature backwater in urban heating network[J]．Chinese Journal of Refrigeration Technology，2020，40(6)：66-69． doi:10.3969/j.issn.2095-4468.2020.06.205
11	WANG D， HAN X， LI H，et al ．Modeling and control method of combined heat and power plant with integrated hot water storage tank[J]．Applied Thermal Engineering，2023，226：120314． doi:10.1016/j.applthermaleng.2023.120314
12	江瑞平．能源危机重创全球经济[J]．世界知识，2022(21)：72-73．
	JIANG R P ．The energy crisis hit the global economy hard[J]．World Affairs，2022(21)：72-73．
13	王哮江，刘鹏，李荣春，等．“双碳” 目标下先进发电技术研究进展及展望[J]．热力发电，2022，51(1)：52-59．
	WANG X J， LIU P， LI R C，et al ．Research progress and prospects of advanced power generation technology under the goal of carbon emission peak and carbon neutrality[J]．Thermal Power Generation，2022，51(1)：52-59．
14	王振浩，杨璐，田春光，等．考虑风电消纳的风电-电储能-蓄热式电锅炉联合系统能量优化[J]．中国电机工程学报，2017，37(S1)：137-143．
	WANG Z H， YANG L， TIAN C G，et al ．Energy optimization of wind power-electric energy storage-regenerative electric boiler combined system considering wind power consumption[J]．Proceedings of the CSEE，2017，37(S1)：137-143．
15	KOPISKE J， SPIEKER S， TSATSARONIS G ．Value of power plant flexibility in power systems with high shares of variable renewables：a scenario outlook for Germany 2035[J]．Energy，2017，137：823-833． doi:10.1016/j.energy.2017.04.138
16	郭通．电力系统灵活性评价及灵活性改造规划研究[D]．北京：华北电力大学，2020．
	GUO T ．Research on evaluation of power system flexibility and flexibility retrofit planning[D]．Beijing：North China Electric Power University，2020．
17	汉京晓，穆世慧．典型蓄热技术在供热领域的应用分析[J]．能源与节能，2019(4)：54-57． doi:10.3969/j.issn.2095-0802.2019.04.026
	HAN J X， MU S H ．Application analysis of typical thermal storage technology in heating field[J]．Energy and Energy Conservation，2019(4)：54-57． doi:10.3969/j.issn.2095-0802.2019.04.026
18	TROJAN M， TALER D， DZIERWA P，et al ．The use of pressure hot water storage tanks to improve the energy flexibility of the steam power unit[J]．Energy，2019，173：926-936． doi:10.1016/j.energy.2019.02.059
19	杨海生，张拓，唐广通，等．蓄热水罐技术对供热机组的调峰性能影响及补偿成本分析[J]．汽轮机技术，2020，62(5)：385-388． doi:10.3969/j.issn.1001-5884.2020.05.018
	YANG H S， ZHANG T， TANG G T，et al ．Influence of thermal storage tank technology on peak shaving performance of heating unit and its effect analysis[J]．Turbine Technology，2020，62(5)：385-388． doi:10.3969/j.issn.1001-5884.2020.05.018
20	URBANECK T ．Water tank stores for medium/large applications[M]//Encyclopedia of Energy Storage．Amsterdam：Elsevier，2022：394-409． doi:10.1016/b978-0-12-819723-3.00007-x
21	DE LA CRUZ-LOREDO I， ZINSMEISTER D， LICKLEDERER T，et al ．Experimental validation of a hybrid 1-D multi-node model of a hot water thermal energy storage tank[J]．Applied Energy，2023，332：120556． doi:10.1016/j.apenergy.2022.120556
22	WU Y， FU L， ZHANG S，et al ．Study on a novel co-operated heat and power system for improving energy efficiency and flexibility of cogeneration plants[J]．Applied Thermal Engineering，2019，163：114429． doi:10.1016/j.applthermaleng.2019.114429
23	杨波，李政．火电机组热力系统主导因素变工况建模方法研究[J]．中国电机工程学报，2005，25(24)：96-102． doi:10.3321/j.issn:0258-8013.2005.24.017
	YANG B， LI Z ．Dominant factor modelling method for the thermal system of power station[J]．Proceedings of the CSEE，2005，25(24)：96-102． doi:10.3321/j.issn:0258-8013.2005.24.017
24	MEDICA-VIOLA V， PAVKOVIĆ B， MRZLJAK V ．Numerical model for on-condition monitoring of condenser in coal-fired power plants[J]．International Journal of Heat and Mass Transfer，2018，117：912-923． doi:10.1016/j.ijheatmasstransfer.2017.10.047

热负荷	调峰增量
热负荷	20 MW 蓄热罐	40 MW 蓄热罐	60 MW 蓄热罐	80 MW 蓄热罐
135	3.45	6.90	10.34	13.79
144	3.45	6.90	10.34	13.79
153	5.86	9.31	12.75	16.20
162	11.15	14.60	18.05	21.49
171	15.47	20.01	23.46	26.91
180	17.05	25.53	28.98	32.43
189	17.05	31.43	34.62	38.07
198	17.05	33.08	40.37	43.82
207	17.05	33.08	46.21	49.65
216	17.05	33.08	49.10	55.65
225	17.05	33.08	49.10	61.61
234	17.05	33.08	49.10	64.13

热负荷	调峰增量
热负荷	20 MW 蓄热罐	40 MW 蓄热罐	60 MW 蓄热罐	80 MW 蓄热罐
135	3.45	6.90	10.34	13.79
144	3.45	6.90	10.34	13.79
153	5.86	9.31	12.75	16.20
162	11.15	14.60	18.05	21.49
171	15.47	20.01	23.46	26.91
180	17.05	25.53	28.98	32.43
189	17.05	31.43	34.62	38.07
198	17.05	33.08	40.37	43.82
207	17.05	33.08	46.21	49.65
216	17.05	33.08	49.10	55.65
225	17.05	33.08	49.10	61.61
234	17.05	33.08	49.10	64.13

时刻	原始最低电负荷/MW	优化后最低电负荷/MW	时刻	原始最低电负荷/MW	优化后最低电负荷/MW
01：00	173.16	141.01	13：00	142.35	140.25
02：00	176.68	140.59	14：00	140.46	140.32
03：00	178.06	140.34	15：00	141.72	140.65
04：00	198.37	246.52	16：00	142.98	141.89
05：00	199.38	247.14	17：00	151.65	140.45
06：00	199.44	244.63	18：00	151.78	141.61
07：00	210.76	258.80	19：00	159.64	140.45
08：00	209.63	250.27	20：00	159.76	140.36
09：00	184.48	141.89	21：00	187.62	230.52
10：00	165.61	141.12	22：00	185.10	227.97
11：00	141.09	140.42	23：00	171.90	140.25
12：00	141.72	140.21	24：00	172.53	141.36

时刻	原始最低电负荷/MW	优化后最低电负荷/MW	时刻	原始最低电负荷/MW	优化后最低电负荷/MW
01：00	173.16	141.01	13：00	142.35	140.25
02：00	176.68	140.59	14：00	140.46	140.32
03：00	178.06	140.34	15：00	141.72	140.65
04：00	198.37	246.52	16：00	142.98	141.89
05：00	199.38	247.14	17：00	151.65	140.45
06：00	199.44	244.63	18：00	151.78	141.61
07：00	210.76	258.80	19：00	159.64	140.45
08：00	209.63	250.27	20：00	159.76	140.36
09：00	184.48	141.89	21：00	187.62	230.52
10：00	165.61	141.12	22：00	185.10	227.97
11：00	141.09	140.42	23：00	171.90	140.25
12：00	141.72	140.21	24：00	172.53	141.36

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[6]	Fangfang WANG, Pengwei YANG, Guangjin ZHAO, Qi LI, Xiaona LIU, Shuangchen MA. Development and Challenge of Flexible Operation Technology of Thermal Power Units Under New Power System [J]. Power Generation Technology, 2024, 45(2): 189-198.
[7]	Jizhen AN, Fuhao ZHENG, Yifan LIU, Heng CHEN, Gang XU. Study on Induced Draft Fan Fault Warning of Thermal Power Unit Based on Big Data Analysis [J]. Power Generation Technology, 2023, 44(4): 557-564.
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[9]	Yunfei XU, Shuimu WU, Yingjie LI. Research Progress of CaO-CO₂ Thermochemical Heat Storage Technology for Concentrated Solar Power Plant [J]. Power Generation Technology, 2022, 43(5): 740-747.
[10]	Xiufeng YAN, Ke ZONG, Xiunian HE, Lin GAO, Bin QIN, Mingkun WANG, Wentao HUI. Research on Steam Temperature Control Strategy in Peak Regulation of 1 000 MW Coal Power Unit [J]. Power Generation Technology, 2022, 43(3): 518-522.
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[13]	Shuming LI,Qingsong LIU,Xiaodong ZHU,Shibin PING,Guisheng BAI. Flexibility Transformation Analysis of 350 MW Supercritical Cogeneration Unit [J]. Power Generation Technology, 2018, 39(5): 449-454.
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