TY - JOUR
T1 - Power Management of Microgrids including PHEVs Based on Maximum Employment of Renewable Energy Resources
AU - Fouladi, Ehsan
AU - Baghaee, Hamid Reza
AU - Bagheri, Mehdi
AU - Gharehpetian, G. B.
N1 - Funding Information:
Manuscript received November 3, 2019; revised June 23, 2020; accepted July 12, 2020. Date of publication July 21, 2020; date of current version September 18, 2020. Paper no. 2019-PEDCC-1388.R1, presented at the 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, Genova, Italy, Jun. 11–14, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Power Electronic Devices and Components Committee of the IEEE Industry Applications Society. This work was supported in part by Faculty Development Competitive Research Grant of Nazarbayev University (Project No. 090118FD5318), Nazarbayev University. (Corresponding author: Mehdi Bagheri.) Ehsan Fouladi, Hamid Reza Baghaee, and G. B. Gharehpetian are with the Department of Electrical Engineering, Amirkabir University of Technology, Tehran 13114-16846, Iran (e-mail: [email protected]; [email protected]; [email protected]).
Publisher Copyright:
© 1972-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Recently, the penetration rate of plug-in hybrid electric vehicles (PHEVs) and renewable/distributed energy resources (RERs/DERs) has increased in microgrids (MGs). However, due to the high uncertainties on both the demand (i.e., PHEV) and the supply (i.e., RER) sides, it is an indisputable fact that these components should be coordinated intelligently with the rest of the grid. In this article, a smart charging scheme is proposed for PHEVs that can minimize the energy drawn from the main grid, and this minimizes the dependence of MGs on the main grid by maximizing the use of RERs/DERs. Two scenarios are conducted on the modified version of the IEEE 33-bus test system to verify the effectiveness of the proposed power management strategy for different penetration levels of PHEVs, and the results of the proposed scheme are compared with the results of other, previously reported strategies. The obtained results from offline digital time-domain simulations and software verification indicate that the energy exchanged between the MG and the main grid to charge PHEVs is decreased since the RER/DER generation is increased. Therefore, the obtained results reveal the superiority of the proposed power management strategy over other, previously reported strategies.
AB - Recently, the penetration rate of plug-in hybrid electric vehicles (PHEVs) and renewable/distributed energy resources (RERs/DERs) has increased in microgrids (MGs). However, due to the high uncertainties on both the demand (i.e., PHEV) and the supply (i.e., RER) sides, it is an indisputable fact that these components should be coordinated intelligently with the rest of the grid. In this article, a smart charging scheme is proposed for PHEVs that can minimize the energy drawn from the main grid, and this minimizes the dependence of MGs on the main grid by maximizing the use of RERs/DERs. Two scenarios are conducted on the modified version of the IEEE 33-bus test system to verify the effectiveness of the proposed power management strategy for different penetration levels of PHEVs, and the results of the proposed scheme are compared with the results of other, previously reported strategies. The obtained results from offline digital time-domain simulations and software verification indicate that the energy exchanged between the MG and the main grid to charge PHEVs is decreased since the RER/DER generation is increased. Therefore, the obtained results reveal the superiority of the proposed power management strategy over other, previously reported strategies.
KW - Battery energy storage system (BESS)
KW - energy exchange
KW - energy management
KW - microgrid (MGs)
KW - optimization
KW - plug-in hybrid electric vehicle (PHEVs)
KW - renewable energy resources (RERs)
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U2 - 10.1109/TIA.2020.3010713
DO - 10.1109/TIA.2020.3010713
M3 - Article
AN - SCOPUS:85091793066
SN - 0093-9994
VL - 56
SP - 5299
EP - 5307
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
IS - 5
M1 - 9145630
ER -
