The Study of Optimal Capacity of Energy Production by Using Fuzzy Methodology (Case Study: Shariati Power Plant)

M.R Lotfalipour[1]*

Professor, Faculty of Economic and Administrative Sciences, Ferdowsi University of Mashhad, lotfalipour@um.ac.ir

Farideh Halvaee

MA in Energy Economics, Ferdowsi University of Mashhad, f.halvaee@gmail.com

Morteza Bastam

MA in Economic Development and Planning, Ferdowsi University of Mashhad, morteza.Bastam@gmail.com

Received: 2013/02/25  Accepted: 2013/08/20

Abstract 

More activate of privatization in energy market in Iran, led to pay more attention on profitability of power plants, and movement to competition rather than governance monopolistic. The process of profit maximization in energy market contains some implicit factors, which, has to be considered in optimization models. This article deals with production programming in Shariati Power Plant by using Fuzzy logic and methodology. Based on, the methodology of NSGA11 is utilized to end among a set of optimal. Optimal production during 24 hours at different generators is determined on the basis of restrictions which, considered tow important elements, demand for plant power at any hour, type of allocation comprising maximum profit. Results show profit maximization on the basis of fuzzy methodology, implies more profit comparing current methodology.

JEL Classification: C61, D24

 Keywords: Fuzzy Logic, Optimization, Profit, Shariati Power Plant.