COI code: IEAC04_035
Paper Language: English
How to Download This Paper
For Downloading the Fulltext of CIVILICA papers please visit the orginal Persian Section of website.
Authors Robust Energy Management system for a Microgrid with Uncertain Renewable Generation and Load via Taguchi’s Orthogonal Array MethodSevda Zeinal-Kheiri - Faculty of Electrical and Computer Engineering Faculty of Electrical and Computer Engineering،University of Tabriz University of Tabriz،Tabriz-Iran
Amin Mohammadpour-Shotorbani - Faculty of Electrical and Computer Engineering،University of Tabriz،Tabriz-Iran
Behnam Mohammadi-Ivatloo - Faculty of Electrical and Computer Engineering،University of Tabriz،Tabriz-Iran
Saeid Ghassem-Zadeh - Faculty of Electrical and Computer Engineering،University of Tabriz،Tabriz-Iran
Abstract:Supplying the load while getting the maximumbenefit and minimum cost is the key objective of the Energymanagement systems for the microgrids. In practice, the prediction of the intermittent renewable generation and loads arenot exact, and are considered as uncertain factors. For dealingwith these uncertainties and making the system less sensitive touncertainties, scenario-based robust design method is employedin this paper. Robust programming ensures the least acceptablebenefits in the presence of uncertainties and large violation oftheir predicted amounts. In this study, scenario-based robustenergy management is proposed, in which the scenarios aredesigned by Taguchi’s orthogonal array testing method. Robustenergy management system for a microgrid with uncertain inputvariables is defined as getting the minimum desired benefiteven when large deviations of uncertainties from their predictedamounts occurs. In this study, maximum total cost in the presenceof uncertain renewable generation and load is considered in theworst-case scenario for robust management. Typical microgrid isconsidered for showing the effectiveness of the proposed method,and GAMS software is used for the optimization.
Keywords:Robust energy management, Microgrid, Orthogonal array testing method, Scenario-based, Uncertainty, Worstcase
COI code: IEAC04_035
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Zeinal-Kheiri, Sevda; Amin Mohammadpour-Shotorbani; Behnam Mohammadi-Ivatloo & Saeid Ghassem-Zadeh, 2017, Robust Energy Management system for a Microgrid with Uncertain Renewable Generation and Load via Taguchi’s Orthogonal Array Method, 4th International Conference on Technology and Energy Management, تهران, انجمن انرژي ايران, https://www.civilica.com/Paper-IEAC04-IEAC04_035.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Zeinal-Kheiri, Sevda; Amin Mohammadpour-Shotorbani; Behnam Mohammadi-Ivatloo & Saeid Ghassem-Zadeh, 2017)
Second and more: (Zeinal-Kheiri; Mohammadpour-Shotorbani; Mohammadi-Ivatloo & Ghassem-Zadeh, 2017)
For a complete overview of how to citation please review the following CIVILICA Guide (Citation)
The University/Research Center Information:
Type: state university
Paper No.: 17389
in University Ranking and Scientometrics the Iranian universities and research centers are evaluated based on scientific papers.
Research Info Management
Export Citation info of this paper to research management softwares
New Related Papers
- Techno-Economic Comparison of Central and Separated Heating-Cooling for High Rise Residential Building
- Optimal Power Flow Using Bacterial Foraging Optimization (BFO)
- Robust Nonlinear Control of MMC-VSC for Connection of Energy Resources to Weak Grids with Low SCR
- Robust Energy Management system for a Microgrid with Uncertain Renewable Generation and Load via Taguchi’s Orthogonal Array Method
- Smart Charging of Plug-in Hybrid Electric Vehicles in a Typical Distribution Network
The Above articles are recently indexed in the related subjects
Iran Scientific Advertisment Netword
Share this paper
WHAT IS COI?
COI is a national code dedicated to all Iranian Conference and Journal Papers. the COI of each paper can be verified online.