Smart vehicle-to-grid integration strategy for enhancing distribution system performance and electric vehicle profitability

被引:20
作者
Abdelfattah, Wael [1 ]
Abdelhamid, Ahmed Sayed [1 ]
Hasanien, Hany M. [2 ,3 ]
Rashad, Basem Abd- Elhamed [1 ]
机构
[1] El Shorouk Acad, Higher Inst Engn El Shorouk City, Dept Elect Power & Machines Engn, Cairo 11837, Egypt
[2] Ain Shams Univ, Fac Engn, Elect Power & Machines Dept, Cairo 11517, Egypt
[3] Future Univ Egypt, Fac Engn & Technol, Cairo 11835, Egypt
关键词
Distribution system; Electric vehicle (EV); Intelligent scheduling; Load management; System performance; Vehicle-to-grid (V2G); DEMAND; IMPACT;
D O I
10.1016/j.energy.2024.131807
中图分类号
O414.1 [热力学];
学科分类号
摘要
This study presents a novel Vehicle -to -Grid (V2G) integration strategy. By utilizing the energy stored in electric vehicles (EVs) to inject power into the grid optimally during peak-load/high-tariff periods. This V2G strategy has two main objectives: enhancement of the system performance and offering financial profit to EV owners. The V2G strategy optimizes the energy exchange between EVs and the grid based on load leveling methodology through intelligent scheduling of charging/discharging times to alleviate grid stress during peak demand, leading to enhanced system performance. Also, it enables EV owners to sell their excess energy to the utility at favorable prices, which not only helps EV owners offset their charging costs but also turns their EVs into profitable assets. The contribution over recent similar studies is targeting multiple objectives simultaneously, besides employing a comprehensive set of factors, involving all relevant participants, and rigorous load modelling. The effectiveness of this strategy is demonstrated through comprehensive simulations with two different charging scenarios applied to two networks, RBTS-bus2 and ShC-D8. The results show the enhancement of system performance, as evidenced by improvements in voltage profiles and load curves, besides reductions in losses, operational costs, and feeder and transformer loading. Furthermore, the proposed approach maximizes the profit of EV owners.
引用
收藏
页数:16
相关论文
共 55 条
[1]  
Abdelfattah Wael, 2020, 2020 12th International Conference on Electrical Engineering (ICEENG), P78, DOI 10.1109/ICEENG45378.2020.9171694
[2]  
Abul'Wafa AR, 2017, PROC INT MID EAST P, P337, DOI 10.1109/MEPCON.2017.8301203
[3]   New model of PEV parking lots in the presence of demand response uncertainties [J].
Ahmadi, Saeid ;
Moghaddam, Mahmoud Samiei ;
Hajizade, Amin ;
Ranjbar, Soheil .
SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 30
[4]   Optimal use of vehicle-to-grid technology to modify the load profile of the distribution system [J].
Ahmadi, Sajjad ;
Arabani, Hamoun Pourroshanfekr ;
Haghighi, Donya Ashtiani ;
Guerrero, Josep M. ;
Ashgevari, Yazdan ;
Akbarimajd, Adel .
JOURNAL OF ENERGY STORAGE, 2020, 31
[5]   A RELIABILITY TEST SYSTEM FOR EDUCATIONAL PURPOSES - BASIC DISTRIBUTION-SYSTEM DATA AND RESULTS [J].
ALLAN, RN ;
BILLINTON, R ;
SJARIEF, I ;
GOEL, L ;
SO, KS .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1991, 6 (02) :813-820
[6]   Simultaneously allocating electric vehicle charging stations (EVCS) and photovoltaic (PV) energy resources in smart grid considering uncertainties: A hybrid technique [J].
Alphonse, Ann Rufus Arul ;
Raj, Annie Poornima Princess Giles ;
Arumugam, Manjula .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (11) :14855-14876
[7]  
Bangalore P, 2011, IEEE PES INNOV SMART
[8]   The profitability of vehicle to grid for system participants - A case study from the Electricity Reliability Council of Texas [J].
Bhandari, Vivek ;
Sun, Kaiyang ;
Homans, Frances .
ENERGY, 2018, 153 :278-286
[9]  
Datta U, 2019, Adv Commun Control Methods Futur Smartgrids, P1, DOI [10.5772/intechopen.85385, DOI 10.5772/INTECHOPEN.85385]
[10]   Orderly charging strategy of electric vehicle based on improved PSO algorithm [J].
Du, Wenyi ;
Ma, Juan ;
Yin, Wanjun .
ENERGY, 2023, 271