Huadian Technology ›› 2021, Vol. 43 ›› Issue (9): 37-45.doi: 10.3969/j.issn.1674-1951.2021.09.005
• Configuration of Energy Storage Devices • Previous Articles Next Articles
WANG Xiyue, XU Jian*(), LIAO Siyang, KE Deping
Received:
2021-07-19
Revised:
2021-08-22
Published:
2021-09-25
Contact:
XU Jian
E-mail:xujian@whu.edu.cn
CLC Number:
WANG Xiyue, XU Jian, LIAO Siyang, KE Deping. Flexible load regulation margin evaluation method considering virtual energy storage characteristics[J]. Huadian Technology, 2021, 43(9): 37-45.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.hdpower.net/EN/10.3969/j.issn.1674-1951.2021.09.005
[1] |
ZHONG H, XIE L, XIA Q. Coupon incentive-based demand response: Theory and case study[J]. Power Systems, IEEE Transactions on, 2013, 28(2):1266-1276.
doi: 10.1109/TPWRS.2012.2218665 |
[2] |
WU D, ALIPRANTIS D C, GKRITZA K. Electric energy and power consumption by light-duty plug-in electric vehicles[J]. Power Systems IEEE Transactions on, 2011, 26(2):738-746.
doi: 10.1109/TPWRS.2010.2052375 |
[3] | ZHANG W, LIAN J, CHANG C Y, et al. Aggregated modeling and control of air conditioning loads for demand response[C]// PES General Meeting Conference & Exposition. IEEE, 2014. |
[4] | GOLDMAN C, HOPPER N, BHARVIRKAR R. Estimating demand response market potential among large commercial and industrial customers: A scoping study[J]. Lawrence Berkeley National Laboratory, 2007:1-89. |
[5] | HWANG J C. Assessment of air condition load management by load survey in Taipower[J]. IEEE Power Engineering Review, 2001, 21(10):63. |
[6] | 孙强, 许方园, 唐佳, 等. 基于需求响应的电动汽车集群充电负荷建模及容量边界控制策略[J]. 电网技术, 2016, 40(9):2638-2645. |
SUN Qiang, XU Fangyuan, TANG Jia, et al. Study on modeling of aggregated charging load of electric vehicles and control strategy by adjusting capacity boundaries based on demand response[J]. Power System Technology, 2016, 40(9):2638-2645. | |
[7] | 王怡岚, 童亦斌, 黄梅, 等. 基于需求侧响应的空调负荷虚拟储能模型研究[J]. 电网技术, 2017, 41(2):394-401. |
WANG Yilan, TONG Yibin, HUANG Mei, et al. Research on virtual energy storage model of air conditioning loads based on demand response[J]. Power System Technology, 2017, 41(2):394-401. | |
[8] | 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 Yafeng, ZHU Yujie, MU Gang, et al. Evaluation of adjustable capacity of household electrical heating load based on temperature forecast[J]. Power System Technology, 2018, 42(8):2487-2493. | |
[9] | 高赐威, 李倩玉, 李扬. 基于DLC的空调负荷双层优化调度和控制策略[J]. 中国电机工程学报, 2014, 34(10):1546-1555. |
GAO Ciwei, LI Qianyu, LI Yang. Bi-level optimal dispatch and control strategy for air-conditioning load based on direct load control[J]. Proceedings of the CSEE, 2014, 34(10):1546-1555. | |
[10] | 王栋, 徐青山, 陈亮, 等. 参与调峰控制的空调负荷建模仿真研究[J]. 电力工程技术, 2018, 37(6):86-92. |
WANG Dong, XU Qingshan, CHEN Liang, et al. Air conditioning load modeling and simulation of peak load regulation[J]. Electric Power Engineering Technology, 2018, 37(6):86-92. | |
[11] |
LU N, CHASSIN D P. A State-queueing model of thermostatically controlled appliances[J]. IEEE Transactions on Power Systems, 2004, 19(3):1666-1673.
doi: 10.1109/TPWRS.2004.831700 |
[12] | 李蓓, 赵松, 谢志佳, 等. 电动汽车虚拟储能可用容量建模[J]. 山东大学学报(工学版), 2020, 50(6):101-111. |
LI Bei, ZHAO Song, XIE Zhijia, et al. Electric vehicle virtual energy storage available capacity modeling[J]. Journal of Shandong University (Engineering Edition), 2020, 50(6):101-111. | |
[13] | 丁叶强, 姚学恒, 陈向民, 等. 基于5G与实时电价的电动汽车需求侧管理研究[J]. 华电技术, 2021, 43(1):66-70. |
DING Yeqiang, YAO Xueheng, CHEN Xiangmin, et al. Study on electric vehicle demand side management based on 5G and spot pricing[J]. Huadian Technology, 2021, 43(1):66-70. | |
[14] | 王明深, 穆云飞, 贾宏杰, 等. 考虑电动汽车集群储能能力和风电接入的平抑控制策略[J]. 电力自动化设备, 2018, 38(5):211-219. |
WANG Mingshen, MU Yunfei, JIA Hongjie, et al. Smoothing control strategy considering energy storage capability of electric vehicle aggregators and wind power integration[J]. Power Automation Equipment, 2018, 38(5):211-219. | |
[15] | 杨锡运, 董德华, 李相俊, 等. 商业园区储能系统削峰填谷的有功功率协调控制策略[J]. 电网技术, 2018, 42(8):195-205. |
YANG Ciyun, DONG Dehua, LI Xiangjun, et al. Active power coordinated control strategy for peak shaving and valley filling of energy storage system in business park[J]. Power System Technology, 2018, 42(8):195-205. | |
[16] | 尹硕, 郭兴五, 燕景, 等. 考虑高渗透率和碳排放约束的园区综合能源系统优化运行研究[J]. 华电技术, 2021, 43(4):1-7. |
YIN Shuo, GUO Xingwu, YAN Jing, et al. 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. | |
[17] | 戚野白, 王丹, 贾宏杰, 等. 基于归一化温度延伸裕度控制策略的温控设备需求响应方法研究[J]. 中国电机工程学报, 2015, 35(21):5455-5464. |
QI Yebai, WANG Dan, JIA Hongjie, et al. Research on demand response for thermostatically controlled appliances based on normalized temperature extension margin control strategy[J]. Proceedings of the CSEE, 2015, 35(21):5455-5464. | |
[18] | 艾欣, 赵阅群, 周树鹏. 空调负荷直接负荷控制虚拟储能特性研究[J]. 中国电机工程学报, 2016, 36(6):1596-1603. |
AI Xin, ZHAO Yuequn, ZHOU Shupeng. Study on virtual energy storage features of air conditioner direct load control[J]. Proceedings of the CSEE, 2016, 36(6):1596-1603. | |
[19] | Past weather in Beijing, China[EB/OL]. [2020-08-03] https://www.timeanddate.com/weather/ . |
[1] | ZOU Fenghua, ZHU Xingyang, YIN Junping, MENG Shiyu, JIANG Haiyan, CHEN Aikang, LIU Lan. Development trend analysis on building energy systems under "dual carbon" target [J]. Integrated Intelligent Energy, 2024, 46(8): 36-40. |
[2] | WANG Jun, TIAN Hao, ZHAO Ergang, SHU Zhan, WAN Zijing. Low-carbon operation control on park-level integrated energy systems considering shared energy storage devices for electric vehicles [J]. Integrated Intelligent Energy, 2024, 46(6): 16-26. |
[3] | LI Mingyang, DOU Mengyuan. Optimal scheduling of virtual power plants integrating electric vehicles based on reinforcement learning [J]. Integrated Intelligent Energy, 2024, 46(6): 27-34. |
[4] | SUN Yule, QI Taoyi, ZHAO Yuming, YE Chengjin, HUI Hongxun. Siting and sizing of electric vehicle charging stations under the coupling of transport and power networks considering V2G potential [J]. Integrated Intelligent Energy, 2024, 46(1): 1-10. |
[5] | BAO Haibo, LIANG Junjie, LI Xiang. Modeling and analysis on demand response for generalized load of power supply systems in industrial parks [J]. Integrated Intelligent Energy, 2024, 46(1): 11-17. |
[6] | TIAN Zeyu, SHA Zhaoyang, ZHAO Quanbin, YAN Hui, CHONG Daotong. Research on control strategy for virtual power plants in response to thermostatically controlled loads [J]. Integrated Intelligent Energy, 2024, 46(1): 28-37. |
[7] | LIANG Yan, GUO Li, ZHANG Dan, LIU Zhiqi, HU Yubin, ZHOU Xia, WEI Cong, SHAN Yu. Evaluation on the convergence potential of electric vehicles considering their subjective and objective responsiveness [J]. Integrated Intelligent Energy, 2023, 45(9): 1-10. |
[8] | HU Chao, PENG Wenhe, FANG Zhijian. Hierarchical optimization scheduling for electric vehicles with PV-power storage charging stations [J]. Integrated Intelligent Energy, 2023, 45(9): 11-17. |
[9] | LI Bohang, LI Hongzhong, ZHANG Minyuan. Low-carbon economic dispatch of integrated energy systems considering load characteristics [J]. Integrated Intelligent Energy, 2023, 45(8): 72-79. |
[10] | YU Haibin, GAO Yiling, LU Zengjie, DONG Shuai, LU Lin, REN Yizhi. Low-carbon economic scheduling of deep peak regulating market with the participation of wind power,thermal power,storage and carbon capture units considering demand response [J]. Integrated Intelligent Energy, 2023, 45(8): 80-89. |
[11] | CAO Zilin, WANG Wenjing, ZHAO Wei, KANG Ligai, GAO Xiaofeng, YANG Yang, WANG Jinzhu. Research on optimal scheduling of distributed integrated energy systems in load-intensive areas considering demand response [J]. Integrated Intelligent Energy, 2023, 45(7): 11-21. |
[12] | BAO Yixin, XU Luoyun, YANG Qiang. Optimized control method for flexible load of a building complex based on MADDPG reinforcement learning [J]. Integrated Intelligent Energy, 2023, 45(7): 61-69. |
[13] | HU Ze, ZHU Ziqing, BU Siqi, CHAN Jiarong, WEI Xiang. Pricing strategy in district-level integrated energy market based on deep reinforcement learning [J]. Integrated Intelligent Energy, 2023, 45(7): 87-96. |
[14] | GE Leijiao, YU Weikun, ZHU Ruoyuan, WANG Guantao, BAI Xingzhen. Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses [J]. Integrated Intelligent Energy, 2023, 45(7): 97-106. |
[15] | XIONG Zhenzhen. Analysis on execution of VPPs for commercial buildings in Shanghai based on decision tree [J]. Integrated Intelligent Energy, 2023, 45(6): 66-72. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||