Volume 11, Issue 1 (4-2021)                   JEM 2021, 11(1): 48-61 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohammadi Y, Shakouri G. H, Kazemi A. A Fuzzy Multi-ObjectiveOptimization Model for Production and Consumption Management in Energy Micro Smart Grids. JEM. 2021; 11 (1) :48-61
URL: http://energy.kashanu.ac.ir/article-1-1352-en.html
Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, I.R.Iran
Abstract:   (1197 Views)
Electricity is one of the most important carriers of energy used in buildings. By introducing energy smart grids (SG) and energy micro smart grids (MSGs) alongside smart buildings, a good platform has been provided to optimize electricity production and consumption. In this paper, an MSG consists of renewable resources, diesel generators, and cell batteries in bidirectional connection with an SG is modeled, which is connected to a smart building, including lighting, temperature, and air conditioning loads on the consumer side Fuzzy controllers have been used to implement intelligent building management systems and MSG to manage power generation and sales with SG. The decision variables are fuzzy controller rules optimized by an NSGAII multi-objective optimization algorithm with five different objective functions. The results show that the fuzzy controllers work better than the methods directly using the power allocated to the building loads as the decision variable.
Full-Text [PDF 620 kb]   (227 Downloads)    
Type of Study: Research | Subject: management
Received: 2019/08/14 | Revised: 2021/07/13 | Accepted: 2020/05/20 | Published: 2020/04/29

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2021 CC BY-NC 4.0 | Energy Engineering & Management

Designed & Developed by : Yektaweb