Iman Goroohi Sardou

Work place: Dept. of Electrical and Computer Engineering, Shahid Beheshti University, Tehran, Iran

E-mail: imangoroohi@gmail.com

Website:

Research Interests: Engineering

Biography

Iman Goroohi Sardou was born in Jirooft, Iran, in 1986. received the B.Sc. degree in electrical engineering from Shhid Bhonar University, Kerman, Iran, in 2004 and the M.Sc. degree from Shahrood University of technology, Shahrood, Iran in 2006. He is now a Ph.D student at Abbaspour Technical and Engineering Department, Shahid Beheshti University in Tehran. His research interests include distribution generation and power system planning.

Author Articles
A Novel Genetic-based Optimization for Transmission Constrained Generation Expansion Planning

By Iman Goroohi Sardou Mohammad Taghi Ameli Mohammad Sadegh Sepasian Mohammad Ahmadian

DOI: https://doi.org/10.5815/ijisa.2014.01.09, Pub. Date: 8 Dec. 2013

Transmission constrained generation expansion planning (TC-GEP) problem involves decisions on site, capacity, type of fuel, and etc. of new generation units, which should be installed over a planning horizon to meet the expectations of energy demand. This may lead to adding or lightening transmission lines congestion. This paper presents an application of genetic algorithm (GA) to TC-GEP problem for simultaneously determination of new generation site, capacity and fuel type for a multi-period generation expansion plan. The objective function in this paper is to minimize the total generation cost which is composed of generation capital investment costs, operation and maintenance (O&M) costs, outage cost, transmission losses costs and transmission enhancement costs. In this paper, also a new method is proposed for computing transmission enhancement costs. In addition a new approach is presented in this paper to determine site and number of combined cycle power plants regarding to candidate units. The GA is applied to solve TC-GEP problem for 4 bus test system from Grainger & Stevenson for a planning horizon of one year and the results are compared and validated against Enumeration Method (EM). Then GA is applied to solve TC-GEP problem for IEEE-RTS 24-bus test system for a planning horizon of three years and results are discussed.

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