Software Control of Wind Turbine Being the Part of Wind Power Plant Based on Drive Vibration Loading and Relevant Executive Decision-Making Preparation at Various Energy Unit Operation Modes
DOI:
https://doi.org/10.22213/2410-9304-2023-1-79-87Keywords:
control system, automation, computer program, time estimation, wind turbine, optimizationAbstract
The relevance of time access scheme optimization to the device measuring blade repositioning from the offered and basic decision-making control methods based on critical analysis of relevant system preparation to external disturbances is proved. Optimization of access time interval of measured values for a random process due to lead time interval reduction by 50 % based on coordinated functioning of the offered and existing wind electric unit control methods is performed. The operation is stipulated by access time differentiation to the engine of a pitch-angle blade drive from the considered control action elaboration which constitutes ∆ t=5 s . It allows to consider the optimum time required to prepare the system for external disturbances, and to increase the accuracy of external disturbance anticipated values providing minimal lead time interval of process implementation at time . To minimize output parameter control time according to the basic executive decision-making method and to increase the accuracy of wind speed determination and the power consumption being characterized as a random software implemented process, when measured values can be stored in a file with further application for future lead intervals, an approach to decrease control time of output parameters by 50% was developed, since the control is first implemented for the time interval ∆ t 1 ' = 60 s , while for the next interval it is ∆ t 2 ' =10 s. A software automation solution to control the wind electric unit within the wind power plant taking into account drive vibration loading and relevant decision-making preparation of the system at various energy unit operation modes was developed.References
Там же.
Буяльский В. И. Автоматизированная система управления ветроэнергетической установкой на базе прогнозирования скорости ветра и мощности потребляемой электроэнергии // Наука и мир. 2017. № 9 (49) С. 14-19.
Буяльский В. И. Комбинированный метод управления ветротурбиной // Энергетик. 2016. № 4. С. 18-20.
Там же.
Буяльский В. И. Оптимизационная модель учета условий нагруженности привода при разных условиях эксплуатации ветроэлектрической установки // Интеллектуальные системы в производстве. 2022. Т. 20, № 1. С. 43-48.
Буяльский В. И. Методика для устранения запаздывания включения устройства разворота лопастей ветротурбины // Энергетик. 2014. № 5. С. 33-55.
Haiying D., Lixia Y., Guohan Y., Hongwei L. Wind Turbine Active Power Control Based on Multi-Model Adaptive Control // International Journal of Control and Automation. 2015. No. 8. Pp. 273-284.
Subbaian V., Sasidhar S. Maximum energy capture of variable speed variable pitch wind turbine by using RBF neural network and fuzzy logic control // International Research Journal of Engineering and Technology. 2015. No. 2. Pp. 493-500.
Vijayalaxmi B., Bheema K. Individual Pitch Control of Variable Speed Wind Turbines Using Fuzzy Logic with DFIG // International Journal of research in advanced engineering technologies. 2016. No. 5. Pp. 45-52.
Balamurugan N., Selvaperumal S.Intelligent controller for speed control of three phase induction motor using indirect vector control method in marine applications // Indian journal of Geo Marine Sciences. 2018. No. 47. Pp. 1068-1074.
Emadifar R., Tohidi D., Eldoromi M. Controlling Variable Speed Wind Turbines Which Have Doubly Fed Induction Generator by Using of Internal Model Control Method // International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2016. No. 5. Pp. 3464-3471.
Пионкевич В. А. Математическое моделирование ветротурбины для ветроэнергетической установки с асинхронным генератором методом частотных скоростных характеристик // Вестник ИрГТУ. 2016. № 3. С. 83-88.
Многоагрегатная ветроэнергетическая установка для районов с низким ветровым потенциалом / С. С. Доржиев, Е. Г. Базарова, В. Пилипков, М. И. Розенблюм // Агротехника и энергообеспечение. 2021. № 2 (31). С. 45-52.
Серебряков Р. А. Теоретические основы математического моделирования вихревой ветроэнергетической установки // Точная наука. 2021. № 110. С. 23-30.
Серебряков Р. А. Перспективы развития ветроэнергетики // Точная наука. - 2021. № 110. С. 2-13.
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