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


  • 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


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.


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


[1] Jaeseok Choi, Seungpil Moon, Hongsik Kim, Byongjun Lee and R. Billinton, “Development of the ELDC and reliability evaluation of composite power system using Monte Carlo method,” Power Engineering Society Summer Meeting, 2000. IEEE, Seattle, WA, vol. 4, 2000, pp. 2063-2068.

[2] A. J. Wood and B.F. Wollenberg, “Power Generation Operation and Control,” John Wiley & Sons, 1984.

[3] Jeaseok Choi, “Outage Cost Assessment using Analytical Method on Composite Power System,” Final Report of Post-Doctor Course at University of Saskatchewan, February 1997.

[4] Jaeseok Choi, Daeho Do, Seungpil Moon and Roy Billinton, “Development of a Method for ELDC Construction in a Composite Power System,” Proceedings of Large Engineering Systems Conference on Power System, Halifax, NS, Canada, June 20-22 1999, pp.189-194.

[5] Jaeseok Choi, Hongsik Kim, Seungpil Moon, Junmin Cha, Daeseok Rho and R. Billinton, “A study on the fuzzy ELDC of composite power system based on probabilistic and fuzzy set theories,” Power Engineering Society Summer Meeting, 2002 IEEE, Chicago, IL, USA, vol.3, 2002, pp. 1123-1129.

[6] Ganjehkaviri, A., et al., “Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction,” Energy, 119, pp.167-177,2017.

[7] Tezer T, Yaman R, Yaman G., “Evaluation of approaches used for optimization of stand-alone hybrid renewable energy systems,” Renewable and Sustainable Energy Reviews. vol.73, pp.40-53, 2017.

[8] Shahgholian, Ghazanfar, et al., “Power system oscillations damping by optimal coordinated design between PSS and STATCOM using PSO and ABC algorithms,” 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON),. IEEE, 2016.

[9] IEEE RTS Task Force of APM Subcommittee, “IEEE reliability test system,” IEEE PAS, vol. 98, no. 6, pp. 2047-2054, 1979.

[10] R. Billinton and A. Sankarakrishnan, “A comparison of Monte Carlo simulation techniques for composite power system reliability assessment,” WESCANEX 95. Communications, Power, and Computing. Conference Proceedings, IEEE, Winnipeg, Man., vol.1, 1995, pp. 145-150.

[11] R. Billinton and L. Gan, “Use OF Monte Carlo Simulation IN Teaching Generating Capacity Adequacy Assessment,” IEEE Transactions on Power Systems, Vol. 6, No. 4, pp.1571-1577, 1991.

[12] S. Rahman, Rinaldy, “An Efficient Load Model for Analyzing Demand Side Management Impacts,” IEEE Transactions on Power Systems, Vol. 8, No. 3, 1993.

[13] R. Billinton et al., “A reliability test system for educational purposes-basic data,” IEEE Transactions on Power Systems, vol. 4, no. 3, pp. 1238-1244, 1989.

[14] Nader Samaan, Phd Thesis, Texas A&M University, “Reliability Assessment of Electric Power Systems Using Genetic Algorithms,” August 2014.