Isaac Scientific Publishing

International Journal of Power and Energy Research

Development of Composite Power System Effective Load Duration Curves by Using a New Optimization Method for Assessment Composite Generation and Transmission Reliability

Download PDF (545.9 KB) PP. 41 - 52 Pub. Date: April 25, 2017

DOI: 10.22606/ijper.2017.11004

Author(s)

  • Mohamadreza Gholami
    Electrical Engineering Department, Zanjan University, Zanjan, Iran
  • Reza Sharifi

    Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran
  • Hamid Radmanesh*

    Electrical Engineering Department, Shahid Sattari Aeronautical University of Science and Technology, Tehran, Iran

Abstract

This paper presents an approach for constructing Composite Power System Effective Load Duration Curves (CMELDC) at load points using a new optimization method based on management of an organization (MOA). The CMELDC plays an important role in subjects such as reliability evaluation and analytical outage cost assessment as it supplies some useful information. CMELDC can be obtained from convolution integral processing of the probability function of the supplied power and the load duration curve at each load point. In the proposed method, MOA intelligently searches the large state space of a power system to find the most probable states. MOA is used to represent the system states. By means of its fitness function, MOA is able to trace the probable states in the more intelligent way than the conventional methods. A linear programming model was used to check each state. After finishing the search process, CMELDC can be obtained from the states saved in the state array. To confirm the effectiveness of the proposed method in assessment of the composite system reliability indices, it is applied to Roy Billinton Test System (RBTS) and IEEE Reliability Test System (RTS) and the results are presented.

Keywords

Composite Power System Effective Load Duration Curves, Composite System Reliability Indices, Management of an Organization Based Method

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