Real-time adjustment of load frequency control based on controllable energy of electric vehicles

被引：13

作者：

Zhang, Qian ^{[1
]}

Li, Yan ^{[1
]}

Li, Chen ^{[2
]}

Li, Chun-yan ^{[1
]}

机构：

[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China

[2] China Southern Power Grid Co Ltd, EHV Power Transmiss Co, Guangzhou, Guangdong, Peoples R China

来源：

TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL | 2020年 / 42卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Electric vehicles; vehicle-to-grid; frequency regulation; frequency control; renewable fluctuations; renewable energy; TO-GRID CONTROL; SUPPORT; FLEET;

D O I：

10.1177/0142331219849262

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The time-varying characteristics of electric vehicle (EV) controllable energy and the rationality of frequency regulation (FR) demand power allocation have significant influences on participating in system FR. Combined with the state transition characteristics of EVs, the calculation models of real-time controllable quantities and real-time controllable energy of EVs are established. Then, considering the dynamic changes of EVs' controllable energy, the system FR strategy with real-time adjusting scheme of FR coefficients is put forward. Finally, based on the unit participation time contribution, the selecting strategy for individual EVs to participate in FR is proposed. The simulation results show that based on the calculation of EVs' real-time controllable energy, the proposed load frequency control model with real-time allocation of FR demand power suppresses the frequency deviation effectively, and the private electric car is found to have the most potential for the FR system.

引用

页码：42 / 54

页数：13

共 50 条

[41] Load Frequency Control and Real-Time Pricing with Stochastic Model Predictive Control
Yanagiya T.
Okajima Y.
Hashimoto T.
Ohtsuka T.
SICE Journal of Control, Measurement, and System Integration, 2020, 13 (05) : 215 - 224
[42] Real-Time Energy Management for Diesel Heavy Duty Hybrid Electric Vehicles
Zhao, Dezong
Stobart, Richard
Dong, Guangyu
Winward, Edward
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (03) : 829 - 841
[43] A study on the development of a real-time energy metering device for electric railway vehicles
Kim Y.K.
Han M.S.
Chun Y.-Y.
Bae C.H.
Yun B.J.
Transactions of the Korean Institute of Electrical Engineers, 2016, 65 (04): : 689 - 694
[44] A New Real-Time Centralized Energy Management Strategy for Modular Electric Vehicles
Khalatbarisoltani, Arash
Oviedo Cepeda, Juan Carlos
Boulon, Loic
St-Pierre, David Lupien
Solano, Javier
Duarte, Cesar
2018 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2018,
[45] Real-Time Optimal Energy Management of Heavy Duty Hybrid Electric Vehicles
Zhao, Dezong
Stobart, Richard
SAE INTERNATIONAL JOURNAL OF ALTERNATIVE POWERTRAINS, 2013, 2 (02) : 369 - 378
[46] Real-Time Plug-In Electric Vehicles Charging Control for V2G Frequency Regulation
Ma, Tan
Mohammed, Osama
39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013), 2013, : 1197 - 1202
[47] Real-Time Energy Management Strategy of Multi-Wheel Electric Drive Vehicles With Load Power Prediction Function
Chen, Luming
Ma, Xiaojun
Wei, Shuguang
Yuan, Dong
IEEE ACCESS, 2021, 9 : 20681 - 20694
[48] Real-Time Energy Management Control for Hybrid Electric Powertrains
Zaher, Mohamed
Cetinkunt, Sabri
JOURNAL OF CONTROL SCIENCE AND ENGINEERING, 2013, 2013
[49] Bayesian Network based Real-time Charging Scheduling of Electric Vehicles
Ren, Hongtao
Wen, Fushuan
Xu, Chengwei
Du, Jinqiao
Tian, Jie
2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020), 2020, : 1022 - 1026
[50] Real-time Adaptive Heuristic Control Strategy for Parallel Hybrid Electric Vehicles
Li, Xuefang
Nazemi, Arghavan
Evangelou, Simos A.
IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 2133 - 2138

← 1 2 3 4 5 →