Multi Agent Electric Vehicle Control Based Primary Frequency Support for Future Smart Micro-Grid

被引:0
|
作者
Alhelou, Hassan S. Haes [1 ,2 ]
Golshan, M. E. H. [1 ]
Fini, Masoud Hajiakbari [1 ]
机构
[1] Isfahan Univ Technol, Dept Elect & Comp Engn, Esfahan, Iran
[2] Tishreen Univ, Dept Mech & Elect Engn, Latakia, Syria
关键词
electric vehicle; primary frequency control; multi-agent control; renewable energies;
D O I
暂无
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
A high penetration level of renewable energy sources such as wind power turbines and solar photovoltaic generation, in micro-grid systems causes some problems to micro-grid operator, e.g., lack in primary reserve. Recently, many countries around the world decided to increase their electric vehicles in the near future which provide a good chance to use them as a battery energy storage system (BESS). This paper proposes a new scheme to provide necessary primary reserve from electric vehicles by using multi-agent control of each individual vehicle. The proposed scheme determines the primary reserve based on vehicle's information such as initial state of charge (SOC), the required SOC for the next trip, and the vehicle's departure time. The effectiveness of the proposed scheme is shown by the simulation study in a micro-grid with several generation units such as diesel engine generator (DEG), flywheel, fuel cell, renewable energy resources, and electric vehicles.
引用
收藏
页码:22 / 27
页数:6
相关论文
共 50 条
  • [1] Smart Control of a Future Micro-grid in Olst
    Schulte, Rob
    Schaefer, Edmund
    van Leeuwen, Richard
    E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS, 2018, : 462 - 464
  • [2] Multi Agent Systems and Arduino based Smart Micro-grid Test bed
    Raju, Leo
    Morais, Antony Amalraj
    Balaji, V.
    Keerthivasan, S.
    RENEWABLE ENERGY SOURCES AND TECHNOLOGIES, 2019, 2161
  • [3] Coordination Control Based on Multi-agent for DC Micro-grid
    Li Zhifeng
    Qi Zhiyuan
    2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 4803 - 4806
  • [4] Deep Learning based Micro-Grid Fault Detection and Classification in Future Smart Vehicle
    Haque, Moinul
    Shaheed, Mohammad Noor
    Choi, Seungdeog
    2018 IEEE TRANSPORTATION AND ELECTRIFICATION CONFERENCE AND EXPO (ITEC), 2018, : 1082 - 1087
  • [5] Multi-agent Negotiation of Decentralized Energy Production in Smart Micro-grid
    Amato, Alba
    Di Martino, Beniamino
    Scialdone, Marco
    Venticinque, Salvatore
    INTELLIGENT DISTRIBUTED COMPUTING VIII, 2015, 570 : 155 - 160
  • [6] Development of a smart DC Micro-Grid for plug-in electric vehicle charging and discharging
    Liu, Chunhua
    Chau, K.T.
    Zhong, Jin
    World Electric Vehicle Journal, 2010, 4 (04): : 939 - 942
  • [7] A User Independent Choice Charging Strategy for Electric Vehicle in Household Smart Micro-grid
    Shang, Yitong
    Zheng, Yanchong
    Jian, Linni
    2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (IEEE ICIA 2017), 2017, : 925 - 930
  • [8] Multi Agent Systems based Distributed Control and Automation of Micro-grid using MACSimJX
    Raju, Leo
    Milton, R. S.
    Mahadevan, Senthilkumaran
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL (ISCO'16), 2016,
  • [9] Secondary Control Strategy of Islanded Micro-grid Based on Multi-agent Consistency
    Ma, Xiping
    Yang, Penglong
    Dong, Haiying
    Yang, Jun
    Zhao, Yao
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [10] Multi Objective Based Framework for Energy Management of Smart Micro-Grid
    Haseeb, Muhammad
    Kazmi, Syed Ali Abbas
    Malik, M. Mahad
    Ali, Sajid
    Bukhari, Syed Basit Ali
    Shin, Dong Ryeol
    IEEE ACCESS, 2020, 8 (08): : 220302 - 220319