Title:	Optimal probabilistic reliability-oriented planning of islanded microgrids considering hydrogen-based storage systems, hydrogen vehicles, and electric vehicles under various climatic conditions
Authors:	Aslani, Mehrdad Imanloozadeh, Amir Hashemi Dezaki, Hamed Hejazi, Maryam A. Nazififard, Mohammad Ketabi, Abbas
Citation:	ASLANI, M. IMANLOOZADEH, A. HASHEMI DEZAKI, H. HEJAZI, MA. NAZIFIFARD, M. KETABI, A. Optimal probabilistic reliability-oriented planning of islanded microgrids considering hydrogen-based storage systems, hydrogen vehicles, and electric vehicles under various climatic conditions. JOURNAL OF POWER SOURCES, 2022, roč. 525, č. March 2022, s. 1-22. ISSN: 0378-7753
Issue Date:	2022
Publisher:	Elsevier
Document type:	článek article
URI:	2-s2.0-85124311640 http://hdl.handle.net/11025/47645
ISSN:	0378-7753
Keywords in different language:	optimal planning of microgrids;hydrogen-based storage systems (HSSs);hydrogen vehicles (HVs);electric vehicles (EVs);probabilistic optimization problem;Monte Carlo simulation (MCS)
Abstract in different language:	Much attention has been paid to the deployment of Hydrogen storage systems (HSSs) and Hydrogen vehicles (HVs) in the modernized energy system. However, a research gap exists in the literature about optimal probabilistic planning of microgrids (MGs) equipped with HSS, considering the uncertainties of renewable energy resources and electric vehicle (EV) and HV owners’ behaviors. The main purpose of this research is to fill such a gap by developing a new probabilistic optimization problem to determine the capacity of Hydrogen-based MGs’ sub-systems. Another contribution is to consider the reliability constraints and loss of energy cost (LOEC) in the MGs’ total net present cost (TNPC). The Monte Carlo simulation (MCS) and Flower Pollination Algorithm (FPA) are used to model stochastic behaviors and solve the proposed probabilistic optimization problem. This paper studies different actual climates of Iran based on historical data, while various coordinated/uncoordinated charging modes of EVs and HVs are examined. Test results infer that a significant inaccuracy (more than 4.66% depends on the climate conditions and vehicle scenarios) occurs due to neglecting the uncertainties. The sensitivity analyses imply that the reliability constraints, LOEC, and their interactions might affect the MGs’ optimal design.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © Elsevier
Appears in Collections:	Články / Articles (RICE) OBD

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