Evaluating the Power Systems Reliability by Developing Reliability Network Equivalent Techniques

Majlesi Journal of Electrical Engineering

مقاله 6، دوره 11، شماره 3، دی 2017، صفحه 39-51   

نوع مقاله: Review Article

نویسندگان

MohammadReza Zare^{* 1}؛ M Iranpour²

¹Islamic Azad university-Majlesi Branch

²Islamic Azad University, Majlesi Branch, Majlesi, Iran

چکیده

due to the importance of providing reliable electricity for consumers in today’s power networks, the need for studies in the field of power systems reliability is feeling increasingly considering inherent uncertainties of renewable sources. Therefore, the main challenge of this study is to provide an efficient technique for evaluating reliability of power systems considering economic transactions between generative companies and load sources and review the impact of renewable sources on system reliability. In this article, a solution is improved based on equivalent techniques of power system reliability considering the effect of changes in wind speed for producing wind power in the network. In addition, a new method has been provided for reliability assessment of transmission network to check the adequacy of transmission lines corresponding to each load point based on the maximum power that can be transferred. In this study, we have avoided to do iterative calculation for computing adequacy of transmission lines in load point indices when the load and generation level are variable. Finally, RTS IEEE is used as the sample network in order to evaluate the efficiency of the proposed algorithm. The results indicate the high efficiency of the proposed method for reducing reliability of computation time. uncertainty of renewable sources, reliability, bilateral contracts, network equivalent techniques

کلیدواژه‌ها

uncertainty of renewable sources؛ en؛ reliability؛ bilateral contracts؛ network equivalent techniques

مراجع

References

[1] R. Billinton, R. N. Allan, and R. N. Allan, Reliability evaluation of power systems vol. 2: Plenum press New York, 1984.

[2] Guideline for Reliability Assessment and Reliability Planning – Evaluation of Tools for Reliability Planning, EPRI, 2013

[3] Joung, M. and J. Kim, Assessing demand response and smart metering impacts on long-‎term electricity market prices and system reliability. Applied Energy, 2013. 101: p. 441-448.‎

[4]Rajesh Karki, Po Hu, Roy Billinton, “Reliability Evaluation Considering Wind and Hydro Power Coordination”, IEEETRANSACTIONS ON POWER SYSTEMS, VOL. 25, NO. 2, MAY 2010

[5]Jaeseok Choi, Jintaek Lim, Kwang Y. Lee, “DSM Considered Probabilistic Reliability Evaluation and an Information System for Power Systems Including Wind Turbine Generators”, IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013

[6]Soodabeh Soleymani, Mohammad Ehsan Mosayebian, Sirus Mohammadi, “A combination method for modeling wind power plants in power systems reliability evaluation”, Computers and Electrical Engineering, vol. 41, pp. 28–39, 2015

[7]K. Moslehi and R. Kumar, "A Reliability Perspective of the Smart Grid," IEEE Trans. on Smart Grid, vol. 1, no. 1, pp. 57-64, 2010

[8] Amir Mehrtash, Peng Wang,Lalit Goel, “Reliability Evaluation of Power Systems Considerin Restructuring and Renewable Generators”, IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 27, NO. 1, FEBRUARY 2012

[9] Ghadikolaei, Hadi Moghimi, Abdollah Ahmadi, Jamshid Aghaei, and Meysam Najafi. "Risk constrained self-scheduling of hydro/wind units for short term electricity markets considering intermittency and uncertainty" Renewable and Sustainable Energy Reviews 16, no. 7 (2012): 4734-4743.

[10] R. Allan, Reliability evaluation of power systems: Springer Science & Business Media, 2013.

[11] M. Zadsar, M. Haghifam, and M. Bandei, "Reliability evaluation of the power distribution network under penetration of wind power considering the uncertainty of wind", in ElectricalPower Distribution Networks Conference (EPDC), 2015 20th Conference on, 2015, pp. 259-266.

[12]R. T. Force, "The IEEE reliability test system-1996", IEEE Trans. Power Syst, vol. 14, pp. 1010-1020, 1999

[13] [Online] Available http://www.energy.siemens.com