Mendeley
TY  _  JOUR
ID  -  13980817193339
TI  -  Preventive and Probabilistic-Possibilistic Scheduling of Microgrid against the Natural Phenomena in the Presence of Electric Vehicles
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Nasri Amirhossein
AU  -  Abdollahi A.
AU  -  Rashidinejad Masoud
AD  -  دانشگاه شهید باهنر کرمان
AD  -  دانشگاه شهید باهنر کرمان
AD  -  دانشگاه شهید باهنر کرمان
Y1  -  2021
PY  -  2021
VL  -  3
IS  -  
SP  -  137
EP  -  149
KW  -  Probabilistic–possibilistic scheduling of a microgridelectric vehicle parking lotrenewable resourcesZ-numberuncertainty
DO  -  
N2  -  This paper proposes a preventive and probabilistic–possibilistic framework for day-ahead scheduling of Electric Vehicles (EVs) parking lot and distributed generation in a microgrid. The suggested scheduling is performed in normal and emergency conditions when a natural phenomenon appears and the microgrid is disconnected from the upstream network. Furthermore, the uncertainty of EVs number in a parking lot is considered by Z-number as a probabilistic-possibilistic model. Moreover, the uncertainties of photovoltaic units generation, wind turbine output power, market price, and load demand are modeled by Monte Carlo as a probabilistic method. Furthermore, natural phenomena occurrences are modeled by considering multifarious scenarios according to when the phenomenon unfolds and how much it takes. In the suggested framework, the operation of parking lots is based on the uncertainty and EVs charging/discharging schedule. The operational cost in normal condition and load shedding cost in addition to operational cost are considered as the objective functions of the proposed structure. To evaluate the performance of the suggested structure, the modified 33-bus IEEE distribution network is employed.
UR  - rimag.ir/en/Article/28691
L1  - rimag.ir/en/Article/Download/28691
ER  -  
