Document Type: Research Paper

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  • Mehrdad Ahmadi Kamarposhti 1
  • Fatima Geraeli  2
  • Farshid Bazmi 3

1 Department of Electrical Engineering, Jouybar Branch, Islamic Azad University, Jouybar, Iran

2 Department of Electrical Engineering, University College of Rouzbahan, Sari, Iran

3 Assistant Professor, Aerospace Industrial Research Centre, Tehran, Iran


Received: 28 February 2019                      Accepted: 18 May 2019                    Published: 01 June 2019

10.22034/MBT.2019.80844            20.1001.1.22092528.2019.              XML Files


Energy consumption is one of the criteria for determining the level and quality of life in a country. Continuity of energy supply and long term access to resources needed for a comprehensive energy plan. For this reason, energy planning, the undeniable economic imperative, national and strategic, is considered. In recent years, the production of electricity from wind energy is taken into consideration. Wind turbines are one of the most widely used energy units are in the world. Wind power must be employed in an area that has good potential of wind. The best conditions for installation of wind power are, thus,in remote areas free of obstacles, and consequently with low population density. Reliability benefits, environmental benefits and operating cost savings from wind power integration should be compared with the associated investment costs in order to determine optimum transmission facility for wind power delivery. Determining an adequate transmission system to deliver wind power to a power grid is a difficult problem. Designing a transmission system to match the wind farm’s installed capacity can lead to over investment. In this paper, the reliability indices such as: LOLP, LOLE, EENS, using MATLAB software to COPT table in the presence and absence of wind power is calculated and the results compared. Also, the use of these indicators, the economic analysis of the project is done. Because, designing a transmission system to match the wind farms installed capacity can lead to over investment.