Approach to improving the quality indicators of electricity of iron ore enterprises

Ihor Sinchuk M. Kotyakova
Received 30.06.2023, Revised 19.09.2023, Accepted 28.11.2023
Abstract

Purpose. To develop an adaptive control system for inverters of distributed generation sources with minimization of harmonic distortions of the output voltage. This direction is relevant in connection with the rapid development of renewable energy sources, their potential impact on reducing the quality of electrical energy, as well as the active implementation of intellectualization of industrial enterprises. The indicators of the quality of electric energy were analyzed and the most significant for the distribution networks of iron ore enterprises were determined. The approach of adaptive management and control of the optimal level of electrical energy quality based on the criterion of introducing intelligent technologies into production processes is proposed. Research methods. Analytical methods were used to solve the problems and analyze statistical data - to study the levels of electrical energy deviations in the network of an iron ore enterprise and fuzzy neural networks to build an adaptive system of control and management of the quality of electrical energy in distribution networks. Scientific novelty. For the first time, an approach regarding an adaptive system of control and management of the quality of electrical energy with minimization of harmonic distortions of the output voltage in the conditions of distribution networks of iron ore enterprises is proposed. Practical significance. The proposed approach to improving the quality of electrical energy indicators of iron ore enterprises can have a practical implementation in the integration of renewable energy sources in the distribution networks of enterprises, as well as in the intellectualization of industrial processes. Results. The article proposes an approach to solving the scientific task of theoretical substantiation and development of the principles of determining, controlling the parameters of the quality indicators of electric energy and building systems for adjusting the energy indicators of electric energy by means of a controlled influence on the operation of a network inverter, due to the application of the theory of neuro-fuzzy networks in its control system by working according to the data of the current value of the main indicators of the quality of electric energy and imperially calculated indicators of electric energy losses in the distribution network of iron ore enterprises. Taking into account the relevance and necessity of using PLC technology to transmit information in the Micro Grid of iron ore enterprises, there is a need to implement adaptive management of the quality of electric energy in the network of these enterprises in a centralized-decentralized way, in order to maintain the appropriate level of indicators of the quality of electric energy in the network. The simulation results of the proposed approach to control and manage the level of electrical energy quality in the network showed a sufficient standardized level of electrical energy quality for the implementation of modern intelligent technologies

Keywords:
power supply system; power quality indicators; power supply; renewable energy sources; power quality

Retrieved from Vol. 21, No. 2, 2023

Pages 43–52

References Suggested citation

[1] Енергоефективність та відновлювальні джерела енергії / Під заг. ред. А. К. Шидловського. – К.: Українські енциклопедичні знання, 2007 – 560 с.

[2] Бойко С.М. Теоретичні засади формування електроенергетичних систем з джерелами розосередженої генерації гірничорудних підприємств. Монографія, під редакцією доктора техн. наук, професора О.М. Сінчука. – Кременчук, 2020. – 263с.

[3] Stognii B., Kyrylenko O., Prakhovnyk A., Denysiuk S. The evolution of intelligent electrical networks and their prospects in Ukraine // Tekhnichna elektrodynamika. – 2012. – № 5. – рp. 52–67.

[4] Кириленко, В.В. Павловський, Л.М. Лук'яненко. Технічні аспекти впровадження джерел розподільної генерації в електричних мережах. – Технічна електродинаміка. 2011. № 1. – С. 46-53

[5] Жежеленко И.В., Саенко Ю.Л. Качесткво электроэнергии на промышленных предприятиях. – М.: Энергоатомиздат, 2005. – 261 с.

[6] Аналіз споживання електроенергії з контролем якості в розподільних мережах / О. Г. Гриб, Ю. О. Сиротин, Д. А. Гапон, А. В. Дяченко, Т. С. Иерусалимова, О. В. Бортніков // Вісник Харківського національного технічного університету сільського господарства ім. Петра Василенка. Технічні науки. – Харків : ХНТУГС, 2015. – С. 9–10.

[7] Козакевич І.А. Система енергоефективного керування динамічним компенсатором викривлень напруги / І.А. Козакевич, А.А. Кондратенко // Гірничий вісник. – 2019. – Випуск 105. С. 154-159.

[8] Козакевич І.А. Система керування вентильними реактивними двигунами / І.А. Козакевич, І.І. Шевченко // Гірничий вісник. – 2017. – Випуск 102. С. 135-138.

[9] Сінчук І.О. Превентивна оцінка і основні напрями підвищення енергоефективності підземних залізорудних підприємств / І.О. Сінчук, І.А. Козакевич, М.Л. Барановська, Т.М. Берідзе, І.І. Пересунько // Вісник Криворізького національного університету. Збірник наукових праць. – Кривий Ріг, 2020. – Вип. 50. С. 142-147.

[10] Jahanbakhsi M. A novel deadbeat controller for single phase PV grid connected inverters / M. Jahanbakhshi, B. Asaei, B. Farhangi // 23rd Iranian Conference on Electrical Engineering. – Tehran, 2015. – Pp. 1613-1617.

[11] Kanai N. A Study of Quasi Multi-rate Deadbeat Control for Modular Multi-level Converter using FPGA based Hardware controller / N. Kanai, S. Kurita, T. Ando and T. Yokoyama // IEEE 4th International Future Energy Electronics Conference (IFEEC). – Singapore, Singapore, 2019. – Pp. 1-5. 

[12] Tao Y. Deadbeat Repetitive Control for a grid-connected inverter with LCL Filter / Y. Tao, C. Tan, Q. Chen, L. Zhang, K. Zhou, L. Liu // IEEE 15th International Conference on Control and Automation (ICCA). – Edinburgh, United Kingdom. – 2019. – Pp. 573-577.

[13] Ueta H. 1MHz multisampling deadbeat control with disturbance compensation method for three phase PWM inverter / H. Ueta, T. Yokoyama // International Power Electronics Conference (IPEC-Niigata 2018 -ECCE Asia). – Niigata, 2018. – Pp. 1883-1889.

[14] Xing Y. An improved deadbeat plus plug-in repetitive controller for three-phase four-leg inverters / Y. Xing, C. Tan, Q. Chen, L. Zhang, K. Zhou // IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. – Beijing, 2017. – Pp. 6325-6329.

Sinchuk, І., & Kotyakova, M. (2023). Approach to improving the quality indicators of electricity of iron ore enterprises. Journal of Kryvyi Rih National University, 21(2), 43-52. https://doi.org/10.31721/2306-5451-2023-1-57-43-52
en