A Novel Management Approach for Optimal Operation of Hybrid AC-DC Microgrid in the Presence of Wind and Load Uncertainties

Uloženo v:
Podrobná bibliografie
Vydáno v:Systems vol. 13, no. 4 (2025), p. 233
Hlavní autor: Hamed, Zeinoddini-Meymand
Další autoři: Safipour Reza, Namdari Farhad
Vydáno:
MDPI AG
Témata:
On-line přístup:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

MARC

LEADER 00000nab a2200000uu 4500
001 3194646804
003 UK-CbPIL
022 |a 2079-8954 
024 7 |a 10.3390/systems13040233  |2 doi 
035 |a 3194646804 
045 2 |b d20250101  |b d20251231 
084 |a 231636  |2 nlm 
100 1 |a Hamed, Zeinoddini-Meymand  |u Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 7631885356, Iran; h.zeinoddini@kgut.ac.ir (H.Z.-M.); reza.safipour93@gmail.com (R.S.) 
245 1 |a A Novel Management Approach for Optimal Operation of Hybrid AC-DC Microgrid in the Presence of Wind and Load Uncertainties 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a The optimal operation of a hybrid AC-DC microgrid is investigated in this study. The operation of an AC microgrid connected to the main grid and an islanded DC microgrid has been examined under three management approaches. In the first approach, two microgrids are not connected, and the DC microgrid is operated in the islanded mode. In the second and third approaches, AC and DC microgrids are connected. The main difference between these two approaches is the energy management framework. In the second approach, each microgrid has its own management system, while the third approach integrates both into a single energy management system to form an AC-DC microgrid that minimizes overall operational costs. The main goal of the proposed model is to minimize the operating costs of two microgrids over a 24 h period. The investigated AC microgrid includes a microturbine, wind turbine and diesel generator in order to supply the residential load profile, and the DC microgrid includes an energy storage system, fuel cell, wind turbine and solar panel in order to supply the commercial load profile. Simulations are performed first with a wind and load scenario in order to show and compare the optimal points of using the decision variables in three approaches. Finally, in order to prove the effectiveness of the proposed method in the presence of uncertainties, the cost distribution function for the three approaches is presented by means of Monte Carlo simulation. Applying the proposed model results in the following the cost reduction: 67.9% in the DC microgrid, 14.2% in the AC microgrid and 24.4% overall. This reduction is primarily attributed to the microgrid central energy management system, which decreases reliance on the main grid and instead utilizes alternative sources such as fuel cells. Comparing the first and third approaches, the fuel cell’s contribution to supplying microgrid loads increased by 29%, while the main grid’s participation decreased by 26%. 
653 |a Monte Carlo simulation 
653 |a Electrical loads 
653 |a Distributed generation 
653 |a Genetic algorithms 
653 |a Solar panels 
653 |a Distribution functions 
653 |a Optimization 
653 |a Energy management 
653 |a Energy management systems 
653 |a Linear programming 
653 |a Wind turbines 
653 |a Literature reviews 
653 |a Energy storage 
653 |a Operating costs 
653 |a Diesel generators 
653 |a Uncertainty 
653 |a Fuel cells 
700 1 |a Safipour Reza  |u Department of Electrical and Computer Engineering, Graduate University of Advanced Technology, Kerman 7631885356, Iran; h.zeinoddini@kgut.ac.ir (H.Z.-M.); reza.safipour93@gmail.com (R.S.) 
700 1 |a Namdari Farhad  |u Department of Engineering, Faculty of Environment, Science, and Economy, University of Exeter, Exeter EX4 4QF, UK 
773 0 |t Systems  |g vol. 13, no. 4 (2025), p. 233 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3194646804/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3194646804/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3194646804/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch