Study on Participation of Electricity-driven Thermal Load in Real-time Scheduling of New Power System

doi:10.12096/j.2096-4528.pgt.21122

Abstract

Abstract:

The power balance of the new power system mainly based on new energy is facing an important technical challenge, and the participation of flexible load in power system regulation is an important way to enhance the active balance capability of the new power system. In view of the obvious seasonal and temporal characteristics of the electric and thermal loads, the new energy sources are “extremely cold and hot without wind” and “late peak without light”, and the thermoelectric loads in the new power system show the trend of anti-peak regulation. To address this problem, this paper analyzed the spatial and temporal characteristics and energy-use characteristics of electric and thermal loads, explored their regulation potential, focused on the control scenarios of electric and thermal controllable loads, and systematically gave a flexible scheduling strategy for electric and thermal loads to complete the flexible control and regulation of electric and thermal loads. The results realize the network-load cooperative optimization and flexible scheduling on the whole time scale, and thus verify the feasibility of the real-time participation of telectric and thermal loads in the scheduling of the grid.

Key words: new energy, new power system, source network load storage, electric and thermal loads, adjustable load resources, flexible control

CLC Number:

TK 01

Xin YIN, Feng ZHANG, Balati ADILI, Xiqiang CHANG, Wuhui CHEN, Changjun LI, Xueming LI, Shaowei YUAN. Study on Participation of Electricity-driven Thermal Load in Real-time Scheduling of New Power System[J]. Power Generation Technology, 2023, 44(1): 115-124.

Figures/Tables 13

Tab. 1 Capacity distribution of electric and thermal loads in a certain area

区域	电热负荷容量	分散式电热负荷		集中式电热负荷
区域	电热负荷容量	直热式	蓄热式	直热式	蓄热式
1	634.1	76.9	197.2	80.4	279.6
2	656.4	59.9	342.8	56.8	196.9

Tab. 2 Distribution of maximum electric and thermal loads in a certain area

区域	预计电热最大负荷	分散式电热最大负荷		集中式电热最大负荷
区域	预计电热最大负荷	直热式	蓄热式	直热式	蓄热式
1	412.6	50.9	126.5	43.2	192
2	201.1	10.8	87.8	45.7	56.8

Tab. 3 User distribution of electric and thermal loads in a certain area

区域	电热负荷用户	分散式电热负荷用户		集中式电热负荷用户
区域	电热负荷用户	直热式	蓄热式	直热式	蓄热式
1	12.62	1.43	7.78	0.07	3.34
2	81.92	0.17	79.68	0.19	1.07

Fig. 1 Average power load curve of electric heating in a regional power grid in December 2020

Fig. 2 Average power load curve of electric heating in 4 regions with the highest load in December 2020

Fig. 3 Typical industry’s average electricity load curve for electric heating in December 2020

Fig. 4 Typical daily load curve of distributed electric and thermal loads

Tab. 4 Electric and thermal adjustable loads in each region

地区序号	预计电热最大负荷	可调节负荷
总计	631.7	49.7
1	103.5	20.7
2	25.0	5.0
3	28.9	6.3
4	34.5	2.5
5	0.7	0.0
6	11.4	0.0
7	28.8	0.0
8	76.1	0.0
9	10.8	4.4
10	92.9	0.0
11	25.9	0.0
12	50.0	0.0
13	55.6	10.8
14	1.6	0.0
15	68.0	0.0

Fig. 5 Flexible dispatch topology diagram of electric and thermal loads

Fig. 6 Output balance comparison of electric and thermal loads before and after day-ahead dispatch

Fig. 7 Response of flexible electric and thermal loads before and after day-ahead dispatch

Fig. 8 Output balance comparison of electric and thermal loads before and after intra-day dispatch

Fig. 9 Response of flexible electric and thermal loads before and after intra-day dispatch

References 27

1	陈皓勇．“双碳”目标下的电能价值分析与市场机制设计[J]．发电技术，2021，42(2)：141-150． doi:10.12096/j.2096-4528.pgt.21008
	CHEN H Y ．Electricity value analysis and market mechanism design under carbon-neutral goal[J]．Power Generation Technology，2021，42(2)：141-150． doi:10.12096/j.2096-4528.pgt.21008
2	杨立滨，张磊，刘艳章，等．基于分布式框架的新能源场站并网性能评估[J]．电力建设，2022，43(5)：137-144． doi:10.12204/j.issn.1000-7229.2022.05.015
	YANG L B， ZHANG L， LIU Y Z，et al ．Grid-connection performance evaluation of renewable energy station under distributed framework[J]．Electric Power Construction，2022，43(5)：137-144． doi:10.12204/j.issn.1000-7229.2022.05.015
3	刘沅昆，张维静，张艳，等．面向新型电力系统的新能源与储能联合规划方法[J]．智慧电力，2022，50(10)：1-8． doi:10.3969/j.issn.1673-7598.2022.10.002
	LIU Y K， ZHANG W J， ZHANG Y，et al ．Joint planning method of renewable energy and energy storage for new-type power system[J]．Smart Power，2022，50(10)：1-8． doi:10.3969/j.issn.1673-7598.2022.10.002
4	汲国强，吴姗姗，谭显东，等．2021年我国电力供需形势分析及展望[J]．发电技术，2021，42(5)：568-575． doi:10.12096/j.2096-4528.pgt.21103
	JI G Q， WU S S， TAN X D，et al. Analysis and prospect of China’s power supply and demand situation in 2021[J]．Power Generation Technology，2021，42(5)：568-575． doi:10.12096/j.2096-4528.pgt.21103
5	李建林，郭兆东，曾伟，等．面向调频的锂电池储能建模及仿真分析[J]．电力系统保护与控制，2022，50(13)：33-42．
	LI J L， GUO Z D， ZENG W，et al ．Modeling and simulation analysis of lithium battery energy storage oriented to frequency modulation[J]．Power System Protection and Control，2022，50(13)：33-42．
6	任景，周鑫，薛晨，等．发用两侧参与调峰的现货市场联合出清模式设计[J]．电力工程技术，2022，41(1)：26-33． doi:10.12158/j.2096-3203.2022.01.004
	REN J， ZHOU X， XUE C，et al ．Spot market joint clearing mode with both sides of generation and customer participating in peak regulation[J]．Electric Power Engineering Technology，2022，41(1)：26-33． doi:10.12158/j.2096-3203.2022.01.004
7	郇政林，刘杰，徐沈智，等．“面向高比例新能源接入的源-荷-储灵活性资源协调规划[J]．电网与清洁能源，2022，38(7)：107-117． doi:10.3969/j.issn.1674-3814.2022.07.014
	HUAN Z L， LIU J， XU S Z，et al ．Source-load-storage flexibility resource coordinated planning for high proportion of renewable energy[J]．Power System and Clean Energy，2022，38(7)：107-117． doi:10.3969/j.issn.1674-3814.2022.07.014
8	李少林，陈满满．“煤改气”“煤改电”政策对绿色发展的影响研究[J]．财经问题研究，2019(7)：49-56．
	LI S L， CHEN M M ．Research on the impact of “coal to gas” and “coal to electricity” policy on green development[J]．Research on Financial Issues，2019(7)：49-56．
9	安佳坤，杨洋，胡诗尧，等．煤改电政策的分析与建议[J]．上海电气技术，2019，12(3)：20-23． doi:10.3969/j.issn.1674-540X.2019.03.007
	AN J K， YANG Y， HU S X，et al ．Analysis and recommendations of coal-to-electricity policy[J]．Shanghai Electric Technology，2019，12(3)：20-23． doi:10.3969/j.issn.1674-540X.2019.03.007
10	LIU W， WANG X， ZHANG Y，et al ．Template guidelines for the preparation of the final paper study and application of peak-load regulating capacity for heating unites[C]//2014 China International Conference on Electricity Distribution (CICED)．Shenzhen，China：IEEE，2014：1635-1638． doi:10.1109/ciced.2014.6991983
11	GAO M， GUAN H H， LI Q B，et al ．Cooperative optimal operation strategy of household electric heating[C]//2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)．Beijing，China：IEEE，2018：1-5． doi:10.1109/ei2.2018.8582420
12	苏宜靖，吴华华，徐立中，等．面向新型电力系统的第三方独立主体辅助服务市场探索与实践[J]．浙江电力，2022，41(8)：25-30．
	SU Y J， WU H H， XU L Z，et al ．Exploration and practice of the third-party independent entity auxiliary service market for new power systeme[J]．Zhejiang Electric Power，2022，41(8)：25-30．
13	黄亚峰，朱玉杰，穆钢，等．基于温度预报的户用电采暖负荷可调节能力评估[J]．电网技术，2018，42(8)：2487-2493．
	HUANG Y F， ZHU Y J， MU G，et al ．Evaluation of the adjustable capacity of household electric heating load based on temperature forecast[J]．Power System Technology，2018，42(8)：2487-2493．
14	朱玉杰．电采暖负荷可调节能力评估与集群控制策略研究[D]．吉林：东北电力大学，2019．
	ZHU Y J ．Research on the evaluation of electric heating load adjustable ability and cluster control strategy[D]．Jilin：Northeast Dianli University，2019．
15	葛维春．大规模弃风储热供暖协调计算方法[J]. 发电技术，2018，39(4)：291-295． doi:10.12096/j.2096-4528.pgt.2018.045
	GE W C ．A coordinated calculation method of abandoned large-scale wind heat storage for heating[J]．Power Generation Technology，2018，39(4)：291-295． doi:10.12096/j.2096-4528.pgt.2018.045
16	王志强，王珊，张馨月，等．计及用户响应行为差异性的区域电采暖负荷特性建模[J]．电力系统自动化，2019，43(7)：67-73． doi:10.7500/AEPS20180810002
	WANG Z Q， WANG S， ZHANG X Y，et al ．Modeling of regional electric heating load characteristics taking into account the differences in user response behaviors[J]．Automation of Electric Power Systems，2019，43(7)：67-73． doi:10.7500/AEPS20180810002
17	张华鲁，严干贵，石杰，等．蓄热式电采暖柔性负荷特性建模及可调潜力研究[J]．高电压技术，2022，48(6)：2108-2116．
	ZHANG H L， YAN G G， SHI J，et al ．Modeling of flexible load characteristics of thermal storage electric heating and research on adjustable potential[J]．High Voltage Technology，2022，48(6)：2108-2116．
18	刘啸天．分散式电采暖负荷群调节能力评估及提升技术研究[D]．吉林：东北电力大学，2020．
	LIU X T ．Research on the evaluation and promotion technology of distributed electric heating load group regulation ability[D]．Jilin：Northeast Dianli University，2020．
19	侯萌，李彬，祁兵，等．区块链技术在分散式电采暖控制中的应用展望[J]．电力信息与通信技术，2020，18(6)：49-53． doi:10.16543/j.2095-641x.electric.power.ict.2020.06.008
	HOU M， LI B， QI B，et al ．Application prospect of blockchain technology in distributed electric heating control[J]．Electric Power Information and Communication Technology，2020，18(6)：49-53． doi:10.16543/j.2095-641x.electric.power.ict.2020.06.008
20	董晓颖，李拓，苏娟，等．配电网与蓄热式电采暖负荷的优化匹配策略[J]．电力需求侧管理，2021，23(5)：24-28． doi:10.3969/j.issn.1009-1831.2021.05.006
	DONG X Y， LI T， SU J，et al ．Optimal matching strategy of distribution network and thermal storage electric heating load[J]．Power Demand Side Management，2021，23(5)：24-28． doi:10.3969/j.issn.1009-1831.2021.05.006
21	雷昳，刘明真，林开敏．基于协调负荷调度模型的蓄热采暖解耦方法[J]．中国电力，2019，52(7)：55-62． doi:10.11930/j.issn.1004-9649.201711005
	LEI Y， LIU M Z， LIN K M ．Decoupling method of thermal storage heating based on coordinated load dispatching model[J]．China Electric Power，2019，52(7)：55-62． doi:10.11930/j.issn.1004-9649.201711005
22	郇潼．电采暖群负荷平衡控制策略研究[D]．长春：长春工业大学，2019．
	HUAN T ．Research on load balance control strategy of electric heating group[D]．Changchun：Changchun University of Technology，2019．
23	REN J， MA X， ZHANG X，et al ．Joint optimal deep peak regulation of renewable-rich power system with responsive load heating storage enabled CHP and flexible thermal llants[C]//2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2)．Wuhan，China：IEEE，2020：2673-2678． doi:10.1109/ei250167.2020.9347062
24	LI H C， WANG X W， YUAN Y B，et al ．Simulation and analysis of electric water heater load regulation model based on direct load control[C]//2017 IEEE Conference on Energy Internet and Energy System Integration (EI2)．Beijing，China：IEEE，2017：1-5． doi:10.1109/ei2.2017.8245591
25	YANG Y L， WANG F C， YAN G G，et al ．The regulating characteristic analysis for distributed electric heating load in Northern China[C]//2020 IEEE Sustainable Power and Energy Conference (iSPEC)．Chengdu，China：IEEE，2020：187-192． doi:10.1109/ispec50848.2020.9350994
26	HAN N， GONG T， GONG F，et al ．Evaluation and cluster control of electric heating flexible load adjustable capacity[C]//2020 Management Science Informatization and Economic Innovation Development Conference (MSIEID)．Guangzhou，China：IEEE，2020：425-428． doi:10.1109/msieid52046.2020.00090
27	杨玉龙，王彤，穆钢，等．基于实测数据的分布式电采暖负荷群调峰能力评估[J]．电力建设，2018，39(12)：95-101． doi:10.3969/j.issn.1000-7229.2018.12.012
	YANG Y L， WANG T， MU G，et al ．Evaluation of peak-shaving ability of distributed electric heating load group based on measured data[J]．Electric Power Construction，2018，39(12)：95-101． doi:10.3969/j.issn.1000-7229.2018.12.012

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