Automatic Generation Control in Modern Power Systems with Wind Power and Electric Vehicles

被引:15
|
作者
Ullah, Kaleem [1 ]
Basit, Abdul [1 ]
Ullah, Zahid [2 ]
Albogamy, Fahad R. [3 ]
Hafeez, Ghulam [4 ]
机构
[1] Univ Engn & Technol Peshawar, US Pakistan Ctr Adv Study Energy, Peshawar 25000, Pakistan
[2] Univ Management & Technol Lahore, Dept Elect Engn, Sialkot Campus, Sialkot 51310, Pakistan
[3] Taif Univ, Turabah Univ Coll, Comp Sci Program, POB 11099, At Taif 21944, Saudi Arabia
[4] Univ Engn & Technol, Dept Elect Engn, Mardan 23200, Pakistan
关键词
smart power system; wind power plant; electric vehicles; energy storage systems; automatic generation control; power dispatch strategies; FREQUENCY CONTROL; ANCILLARY SERVICES; ENERGY; SUPPORT; UNITS;
D O I
10.3390/en15051771
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The modern power system is characterized by the massive integration of renewables, especially wind power. The intermittent nature of wind poses serious concerns for the system operator owing to the inaccuracies in wind power forecasting. Forecasting errors require more balancing power for maintaining frequency within the nominal range. These services are now offered through conventional power plants that not only increase the operational cost but also adversely affect the environment. The modern power system emphasizes the massive penetration of wind power that will replace conventional power plants and thereby impact the provision of system services from conventional power plants. Therefore, there is an emergent need to find new control and balancing solutions, such as regulation reserves from wind power plants and electric vehicles, without trading off their natural behaviors. This work proposes real-time optimized dispatch strategies for automatic generation control (AGC) to utilize wind power and the storage capacity of electric vehicles for the active power balancing services of the grid. The proposed dispatch strategies enable the AGC to appropriately allocate the regulating reserves from wind power plants and electric vehicles, considering their operational constraints. Simulations are performed in DIgSILENT software by developing a power system AGC model integrating the generating units and an EVA model. The inputs for generating units are considered by selecting a particular day of the year 2020, when wind power plants are generating high power. Different coordinated dispatch strategies are proposed for the AGC model to incorporate the reserve power from wind power plants and EVs. The performance of the proposed dispatch strategies is accessed and discussed by obtaining responses of the generating units and EVs during the AGC operation to counter the initial power imbalances in the network. The results reveal that integration of wind power and electric vehicles alongside thermal power plants can effectively reduce real-time power imbalances acquainted in power systems due to massive penetration of wind power that subsequently improves the power system security. Moreover, the proposed dispatch strategy reduces the operational cost of the system by allowing the conventional power plant to operate at their lower limits and therefore utilizes minimum reserves for the active power balancing services.
引用
收藏
页数:24
相关论文
共 50 条
  • [1] Electric Vehicles Integration in Automatic Generation Control of Modern Power System
    Ullah, Zahid
    Ullah, Kaleem
    Gruosso, Giambattista
    [J]. 2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
  • [2] Automatic generation control in restructured electric power systems
    Nargelas, A
    [J]. AUTOMATED SYSTEMS BASED ON HUMAN SKILL 2000: JOINT DESIGN OF TECHNOLOGY AND ORGANISATION, 2000, : 233 - 236
  • [3] Wind power integration into the automatic generation control of power systems with large-scale wind power
    Basit, Abdul
    Hansen, Anca Daniela
    Altin, Mufit
    Sorensen, Poul
    Gamst, Mette
    [J]. JOURNAL OF ENGINEERING-JOE, 2014,
  • [4] A Novel Automatic Generation Control Method Based on the Large-Scale Electric Vehicles and Wind Power Integration Into the Grid
    Xi, Lei
    Li, Haokai
    Zhu, Jizhong
    Li, Yanying
    Wang, Shouxiang
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (05) : 5824 - 5834
  • [5] On optimal charging scheduling for electric vehicles with wind power generation
    Wu, Junjie
    Jia, Qing-Shan
    [J]. FUNDAMENTAL RESEARCH, 2024, 4 (04): : 951 - 960
  • [6] Reliability of electric power generation in power systems with thermal and wind power plants
    Department of Electrical Power Engineering, Tallinn University of Technology, 5 Ehitajate Rd., 19086 Tallinn, Estonia
    [J]. Oil Shale, 2007, 2 SUPPL. (197-208)
  • [7] Reliability of electric power generation in power systems with thermal and wind power plants
    Valdma, M.
    Keel, M.
    Tammoja, H.
    Kilk, K.
    [J]. OIL SHALE, 2007, 24 (02) : 197 - 208
  • [8] Electric Vehicles for Improved Operation of Power Systems with High Wind Power Penetration
    Larsen, Esben
    Chandrashekhara, Divya K.
    Ostergard, Jacob
    [J]. 2008 IEEE ENERGY 2030 CONFERENCE, 2008, : 446 - 451
  • [9] Small Power Wind Systems Automatic Control
    Vlad, Ciprian
    Epure, Silviu
    Gurguiatu, Gelu
    Balanuta, Ciprian Daniel
    Munteanu, Toader
    [J]. 2016 13TH INTERNATIONAL CONFERENCE ON DEVELOPMENT AND APPLICATION SYSTEMS (DAS 2016), 2016, : 113 - 120
  • [10] Study on Dynamic Participation of Wind Turbines in Automatic Generation Control of Power Systems
    Ibraheem
    Niazi, Khaleequr Rehman
    Sharma, Gulshan
    [J]. ELECTRIC POWER COMPONENTS AND SYSTEMS, 2015, 43 (01) : 44 - 55