Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems

Dmitrii Iakubovskii; Dmitry Krupenev

doi:10.1051/e3sconf/202020906008

All issues

Volume 209 (2020)

E3S Web Conf., 209 (2020) 06008

References

Open Access

Issue		E3S Web Conf. Volume 209, 2020 ENERGY-21 – Sustainable Development & Smart Management


Article Number		06008
Number of page(s)		6
Section		Session 5. Reliability of Fuel and Energy Supply to the Consumer, Energy Security
DOI		https://doi.org/10.1051/e3sconf/202020906008
Published online		23 November 2020

Krupenev D.S., Boyarkin D.A., Yakubovskiy D.V. Generation of random states of electric power systems at assessment of their reliability by the Monte Carlo method. Safety and Reliability of Power Industry. 2017;10(1):33-41. (In Russ.) https://doi.org/10.24223/1999-5555-2017-10-1-33-41. [CrossRef] [Google Scholar]
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Iakubovskiy D.V., Krupenev D.S., Boyarkin D.A. An Analysis of Shortage Minimization Models to Assess Power System Adequacy // Energy Systems Research. Vol.1. No.3. 2018. P.25-32. DOI: 10.25729/esr.2018.03.0003J [Google Scholar]
Kovalev G.F., Lebedeva L.M., Model for assessing the reliability of power systems in the long-term planning of their work // Electrichestvo. — 2000. — ¹ 11. — 17–24 p. [Google Scholar]
V. I. Zorkaltsev, S. M. Perzhabinsky «The model of power shortage evaluation of electrical power system» The Bulletin of Irkutsk State University. Series Mathematics, 2010, Volume 3, Issue 3, Pages 80–92. [Google Scholar]
Chukreev Yu.Ya. Models of power system reliability support. – Syktyvkar: Komi RC of UrB RAS, 1995. – 176 p. Komi NTs UrO RAN. [Google Scholar]
Iakubovskii D.V., Krupenev D.S., Boyarkin D.A. Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems // E3S Web of Conferences. Vol.114. ID: 03002. 2019. DOI: 10.1051/e3sconf/201911403002 [CrossRef] [EDP Sciences] [Google Scholar]
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A.V. Panteleev, I.F. Dmitrakov “Application of the method of differential evolution to optimize the parameters of aerospace systems” // Electronic journal “TrudyMAI”. Issue number 37 [Google Scholar]
Storn, Rainer and Price, Kenneth. Differential Evolution — A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces [Google Scholar]
K. Price, R. Storn, J. Lampinen. Differential Evolution: A Practical Approach to Global Optimization. Springer, 2005. [Google Scholar]
GAMS Documentation, (CONOPT) [Online]. Available: https://www.gams.com/latest/docs/S_CONOPT.html#CONOPT_APPENDIX_A_ITERATION_ZERO_I NITIAL_POINT [Accessed: 30-Aug-2017] [Google Scholar]

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[1] Krupenev D.S., Boyarkin D.A., Yakubovskiy D.V. Generation of random states of electric power systems at assessment of their reliability by the Monte Carlo method. Safety and Reliability of Power Industry. 2017;10(1):33-41. (In Russ.) https://doi.org/10.24223/1999-5555-2017-10-1-33-41. [CrossRef] [Google Scholar]

[2] Kovalev G.F., Reliability of electric power systems // G.F. Kovalev, L.M.Lebedeva; Ed. by N.I.Voropai. – Novosibirsk: Nauka, 2015. – 224 p. [Google Scholar]

[3] Iakubovskiy D.V., Krupenev D.S., Boyarkin D.A. An Analysis of Shortage Minimization Models to Assess Power System Adequacy // Energy Systems Research. Vol.1. No.3. 2018. P.25-32. DOI: 10.25729/esr.2018.03.0003J [Google Scholar]

[4] Kovalev G.F., Lebedeva L.M., Model for assessing the reliability of power systems in the long-term planning of their work // Electrichestvo. — 2000. — ¹ 11. — 17–24 p. [Google Scholar]

[5] V. I. Zorkaltsev, S. M. Perzhabinsky «The model of power shortage evaluation of electrical power system» The Bulletin of Irkutsk State University. Series Mathematics, 2010, Volume 3, Issue 3, Pages 80–92. [Google Scholar]

[6] Chukreev Yu.Ya. Models of power system reliability support. – Syktyvkar: Komi RC of UrB RAS, 1995. – 176 p. Komi NTs UrO RAN. [Google Scholar]

[7] Iakubovskii D.V., Krupenev D.S., Boyarkin D.A. Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems // E3S Web of Conferences. Vol.114. ID: 03002. 2019. DOI: 10.1051/e3sconf/201911403002 [CrossRef] [EDP Sciences] [Google Scholar]

[8] Yakubovskiy D.V., Krupenev D.S., Boyarkin D.A., Application of two-stage optimization in the power flow distributing model while assessing the adequacy of electric power systems // Information and mathematical technologies in science and management. №1 (13). 2019. C.85-95. DOI: 10.25729/2413-0133-2019-1-07 [Google Scholar]

[9] “GRARE Brochure.” [Online]. Available: http://www.cesi.it/services/power_transmission_and_distribution/Pages/Transmission_and_generation_ade quacy.aspx. [Accessed: 30-Aug-2020]. [Google Scholar]

[10] A. Ramos, “ROM Model (Reliability and Operation Model for Renewable Energy Sources).” [Online]. Available: https://www.iit.comillas.edu/aramos/ROM.htm. [Accessed: 30-Aug-2020]. [Google Scholar]

[11] “ANTARES: Probabilistictool for Electric Systems, [Online]. Available: https://www.rte-international.com/webinar-session-on-antares-simulator/?lang=en [Accessed: 30-Aug-2020]. [Google Scholar]

[12] “PLEXOS Integrated Energy Model.” [Online]. Available: https://energyexemplar.com/software/plexos-desktop-edition/. [Accessed: 30-Aug-2017]. [Google Scholar]

[13] Implementation the interior point method [Online]. Available: https://all4study.ru/proektirovanie/algoritm-realizuyushhij-metod-vnutrennix-tochek.html [Accessed: 30-Aug-2017]. [Google Scholar]

[14] Philip E. Gill, Walter Murray, Margaret H. Wright Practical Optimization. — SIAM, 1985. [Google Scholar]

[15] Optimization methods, HSE, Metody optimizacii FKN VSE[Online]. Available: http://www.machinelearning.ru/wiki/images/b/b5/MO17_seminar5.pdf [Accessed: 30-Aug-2017]. [Google Scholar]

[16] Yu. Nesterov. Introductory lectures on convex optimization. Kluwer, Boston, 20 [Google Scholar]

[17] A.V. Panteleev, I.F. Dmitrakov “Application of the method of differential evolution to optimize the parameters of aerospace systems” // Electronic journal “TrudyMAI”. Issue number 37 [Google Scholar]

[18] Storn, Rainer and Price, Kenneth. Differential Evolution — A Simple and Efficient Adaptive Scheme for Global Optimization over Continuous Spaces [Google Scholar]

[19] K. Price, R. Storn, J. Lampinen. Differential Evolution: A Practical Approach to Global Optimization. Springer, 2005. [Google Scholar]

[20] GAMS Documentation, (CONOPT) [Online]. Available: https://www.gams.com/latest/docs/S_CONOPT.html#CONOPT_APPENDIX_A_ITERATION_ZERO_I NITIAL_POINT [Accessed: 30-Aug-2017] [Google Scholar]