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
Online:
2021-09-25
Published:
2021-09-23
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] | LI Bin, HU Chunjin, WANG Jing. Prediction method for adjustable load based on EEMD-BiLSTM [J]. Integrated Intelligent Energy, 2022, 44(9): 33-39. |
[2] | ZHONG Yongjie, JI Ling, LI Jingxia, JIANG Yanjun, WU Shiwei, WANG Zidong. Overview on the characteristics,connotation and development status of virtual power plants in China [J]. Integrated Intelligent Energy, 2022, 44(6): 25-36. |
[3] | ZHANG Yongxin, YAN Pengling, ZHU Guodong. Research and practice on the EV station-to-grid interactive operation optimization technology [J]. Integrated Intelligent Energy, 2022, 44(6): 45-51. |
[4] | LIU Jing, SHI Mengge, HU Yongfeng. Multi-stage energy management strategy for smart buildings with BESS [J]. Integrated Intelligent Energy, 2022, 44(3): 29-37. |
[5] | ZHANG Kaijie, DING Guofeng, WEN Ming, HUI Hongxun, DING Yi, HE Min, CHU Jiefeng, XIE Kang, YU Chutian, ZHANG Lijun. Review of optimal dispatching technology and market mechanism design for virtual power plants [J]. Integrated Intelligent Energy, 2022, 44(2): 60-72. |
[6] | ZHAO Jianli, TANG Zhuofan, WANG Guilin, CHEN Yuyang, WANG Weidong, CHEN Ke, WU Yingjun. Operation characteristics of user-side resources with energy storage function [J]. Integrated Intelligent Energy, 2022, 44(2): 8-14. |
[7] | JI Bin, SUN Hui, CHANG Li, ZHANG Dandan. Modeling and analysis on decision making behavior of loyal users participating in demand-side response [J]. Integrated Intelligent Energy, 2022, 44(2): 80-88. |
[8] | WANG Qiuhui, SUN Liguo, LI Jiawen. Optimized configuration of energy storage devices of building photovoltaic system with phase-change energy storage [J]. Huadian Technology, 2021, 43(9): 54-61. |
[9] | LI Bin, YANG Fan, ZHAO Yanling, QI Bing, SHI Kun. Research on key technologies for integrated demand response based on edge IoT agent [J]. Huadian Technology, 2021, 43(4): 56-62. |
[10] | ZHENG Jian, HAO Hao, ZHU Haidong, LI Wei, TANG Xu, LIU Sijun. Business analysis on power generation enterprises in the field of charging pile under the new circumstances [J]. Huadian Technology, 2021, 43(4): 78-82. |
[11] | LI Bin, HAO Yihao, QI Bing, CHEN Songsong, FENG Jian. Application and development of edge computing in demand response [J]. Huadian Technology, 2021, 43(3): 1-8. |
[12] | CHEN Zhaoyan, CHAI Yi, PING Chang, FU Bingbin, CHENG Ziyun. Research on adjustable load interaction technology based on 5G edge computing [J]. Huadian Technology, 2021, 43(3): 9-13. |
[13] | ZHOU Binghua, WANG Yang, LI Feng, CUI Jindong, RAN Zihan. Research on active distribution network planning and design strategy from the perspective of urban energy internet [J]. Huadian Technology, 2021, 43(1): 59-65. |
[14] | DING Yeqiang, YAO Xueheng, CHEN Xiangmin, CUI Jindong, LIU Shanshan, YAO Haiyan. Study on electric vehicle demand side management based on 5G and spot pricing [J]. Huadian Technology, 2021, 43(1): 66-70. |
[15] | FENG Li, LI Jun, LIU Bo. Demand response of Chongqing power grid integrated with clean energy consumption [J]. Huadian Technology, 2021, 43(1): 71-75. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||