TY - JOUR
T1 - An efficient short-term energy management system for a microgrid with renewable power generation and electric vehicles
AU - AL-Dhaifallah, Mujahed
AU - Ali, Ziad M.
AU - Alanazi, Mohana
AU - Dadfar, Sajjad
AU - Fazaeli, Mohammad Hosein
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
PY - 2021/12
Y1 - 2021/12
N2 - According to statistical reports, thermal power plants have long played a critical role in supplying electricity using fossil fuels. However, due to the high investment and operation costs of these power plants and their destructive effects on the environment, renewable energy sources (RESs) in power networks have been considered an effective alternative to traditional power plants. Optimal scheduling of microgrid in smart grids has a significant impact on reducing energy consumption, environmental pollutants and end-user's energy prices. In this paper, the influence of plug-in hybrid electric vehicles (PHEVs) charging on microgrids' optimal operation is evaluated. To assess the behaviour of PHEVs, three various charging patterns consisting of uncontrolled, controlled and smart charging methods are considered. Uncertainties due to forecast error in the PHEVs, loads, prices and renewable source output power are also considered in microgrid modelling energy management. To deal with the optimisation scheduling of microgrid considering uncertainty, a modified harmony search (MHS) algorithm is used. The suggested scheme is validated using simulations and without the PHEV charging effects compared with the conventional methods.
AB - According to statistical reports, thermal power plants have long played a critical role in supplying electricity using fossil fuels. However, due to the high investment and operation costs of these power plants and their destructive effects on the environment, renewable energy sources (RESs) in power networks have been considered an effective alternative to traditional power plants. Optimal scheduling of microgrid in smart grids has a significant impact on reducing energy consumption, environmental pollutants and end-user's energy prices. In this paper, the influence of plug-in hybrid electric vehicles (PHEVs) charging on microgrids' optimal operation is evaluated. To assess the behaviour of PHEVs, three various charging patterns consisting of uncontrolled, controlled and smart charging methods are considered. Uncertainties due to forecast error in the PHEVs, loads, prices and renewable source output power are also considered in microgrid modelling energy management. To deal with the optimisation scheduling of microgrid considering uncertainty, a modified harmony search (MHS) algorithm is used. The suggested scheme is validated using simulations and without the PHEV charging effects compared with the conventional methods.
KW - Electric vehicle
KW - Microgrid
KW - Renewable energy
KW - Scheduling
KW - Uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85108651128&partnerID=8YFLogxK
U2 - 10.1007/s00521-021-06247-5
DO - 10.1007/s00521-021-06247-5
M3 - Article
AN - SCOPUS:85108651128
SN - 0941-0643
VL - 33
SP - 16095
EP - 16111
JO - Neural Computing and Applications
JF - Neural Computing and Applications
IS - 23
ER -
