Systems. Methods. Technologies 2 (38) 2018

Системы Методы Технологии. Ю.Н. Булатов и др. Применение накопителей … 2018 № 2 (38) с. 38-43 43 of genetic algorithm // 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE Conference Publications. 2016. P. 1-6. 12. Булатов Ю.Н., Крюков А.В. Применение вейвлет- преобразования и генетических алгоритмов для настройки автоматических регуляторов установок распределенной гене- рации // Научный вестник Новосибирского государственного технического университета. 2016. Т. 63, № 2. С. 7-22. 13. Camacho E.F., Bordons C. Model Predictive Control", 2nd edition Springer, 2007. P. 405. 14. Пикина Г.А. Принцип управления по прогнозу и воз- можность настройки систем регулирования одним парамет- ром // Новое в российской электроэнергетике. 2014. № 3. С. 5-13. 15. Пикина Г.А., Кузнецов М.С. Применение линейных прогностических алгоритмов регулирования // Новое в рос- сийской электроэнергетике. 2009. № 10. С. 40-44. 16. Пикина Г.А., Кузнецов М.С. Прогностические типо- вые алгоритмы регулирования // Теплоэнергетика. 2011. № 4. С. 61-66. 17. Булатов Ю.Н., Крюков А.В., Нгуен Ван Хуан. Мето- дика настройки прогностических регуляторов установок рас- пределенной генерации // Изв. высш. учеб. заведений. Про- блемы энергетики. 2016. № 11-12. С. 84-95. 18. Булатов Ю.Н., Крюков А.В., Нгуен Ван Хуан. Авто- прогностический регулятор частоты вращения ротора генера- тора установки распределенной генерации // Научный вест- ник НГТУ. 2017. № 1 (66). С. 15-25. 19. Keyser R.M.C.,Van De Velde PH.G.A., Dumortier F.A.G. A comparative Study of Self-adaptive Long range Predictive Control Methods // Automatica. 1988. Vol. 24, Is. 2. P. 149–163. 20. Maciejowski J.M. Predictive Control with Constraints. Prentice Hall, 2000. P. 352. References 1. Clark W. Gellings.The Smart Grid: Enabling Energy Effi- ciency and Demand Response. Published by The Fairmont Press, 2009. P. 300. 2. Dorofeev V.V., Makarov A.A. Active and adaptive net- work – new quality of UES of Russia // Energoekspert. 2009. № 4. P. 29-34. 3. Morzhin Yu.I., Shakaryan Yu.G., Kucherov Yu.N. Smart Grid Concept for Unified National Electrical Network of Russia // CD. Preprints of proceedings of IEEE PES Innovative Smart Grid Technologies Europe 2011, Manchester Dec. 5-7 2011. Manches- ter, GB: IEEE, The University of Manchester, Panel session 5D. P. 1-5. 4. Buchholz M., Styczynski Z. Smart Grids-Fundamentals and Technologies in Electricity Networks // Springer-Verlag Berlin Heidelberg, 2014. P. 396. 5. Schoenung S.M., Hassenzahl W.V. Long- vs. short-term energy storage technologies analysis: a life-cycle cost study: a study for the DOE energy storage systems program. United States: N. P. 2003. Web. doi:10.2172/918358. 6. Zhuk A., Denschikov K., Fortov V., Sheindlin A., Wilc- zynskiet W. Hybrid energy storage system based on supercapaci- tors and Li-ion batteries // Journal of Applied Electrochemistry. 2014. Vol. 44. P. 543-550. 7. Xinwei Shen, Shouzhen Zhu, Jinghong Zheng. Active dis- tribution network expansion planning integrated with centralized and distributed Energy Storage System // Power & Energy Socie- ty General Meeting. IEEE Conference Publications. 2015. P. 1-5, doi: 10.1109/PESGM.2015.7286069. 8. Nishi Y. Lithium ion secondary batteries; past 10 years and the future // Journal of Power Sources. 2001. Vol. 100. P. 101-106. 9. Bulatov Yu.N., Kryukov A.V., Chan Zyuj Hyng.. Network clusters (microgrid) in systems of power supply of the railroads. Bratsk: BrGU, 2016. 178p. 10. Ran Wang, Ping Wang, Gaoxi Xiao. Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid. Springer. 2018. P. 218. 11. Bulatov Yu. N., Kryukov A.V. Optimization of automatic regulator settings of the distributed generation plants on the basis of genetic algorithm // 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). IEEE Conference Publications. 2016. P. 1-6. 12. Bulatov Yu.N., Kryukov A.V.Application of the wavelet transform and genetic algorithms for tuning automatic regulators of distributed generators //Scientific Bulletin of NSTU. 2016. T. 63, № 2. P. 7-22. 13. Camacho E.F., Bordons C. Model Predictive Control", 2nd edition Springer, 2007. P. 405. 14. Pikina G.A. Principle management according to the forecast and possibility of control of systems of regulation by one //New in Russian Electrical Power-Engineering. 2014. № 3. P. 5-13. 15. Pikina G.A., Kuznecov M.S. Application of linear predic- tive algorithms of regulation // New in Russian Electrical Power- Engineering. 2009. № 10. P. 40-44. 16. Pikina G.A., Kuznecov M.S. Predictive standard algo- rithms of regulation//Thermal Engineering. 2011. № 4. P. 61-66. 17. Bulatov Yu.N., Kryukov A.V., Nguen Van Huan. Metho- dology of determining forecasting controllers of distributed gen- eration plants //Proceedings of the higher educational institutions. Energy Sector Problems. 2016. № 11-12. P. 84-95. 18. Bulatov Yu.N., Kryukov A.V., Nguen Van Huan. Distri- buted generator rotor speed automatic prognostic controller // Scientific Bulletin of NSTU. 2017. № 1 (66). P. 15-25. 19. Keyser R.M.C.,Van De Velde PH.G.A., Dumortier F.A.G. A comparative Study of Self-adaptive Long range Predictive Con- trol Methods // Automatica. 1988. Vol. 24, Is. 2. P. 149-163. 20. Maciejowski J.M. Predictive Control with Constraints. Prentice Hall, 2000. P. 352.