<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ipolytech</journal-id><journal-title-group><journal-title xml:lang="ru">iPolytech Journal</journal-title><trans-title-group xml:lang="en"><trans-title>iPolytech Journal</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-4004</issn><issn pub-type="epub">2782-6341</issn><publisher><publisher-name>Irkutsk National Research Technical University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21285/1814-3520-2022-2-228-244</article-id><article-id custom-type="elpub" pub-id-type="custom">ipolytech-603</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЭНЕРГЕТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>POWER ENGINEERING</subject></subj-group></article-categories><title-group><article-title>Устранение фликера в сетях с установками распределенной генерации с помощью групповых прогностических регуляторов напряжения и частоты</article-title><trans-title-group xml:lang="en"><trans-title>Flicker elimination in grids with distributed generation using group predictive voltage and frequency regulators</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-3716-5357</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Булатов</surname><given-names>Ю. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Bulatov</surname><given-names>Yu. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юрий Николаевич Булатов, кандидат технических наук, доцент, заведующий кафедрой</p><p>кафедра энергетики</p><p>665709</p><p>ул. Макаренко, 40</p><p>Братск</p></bio><bio xml:lang="en"><p>Yuri N. Bulatov, Cand. Sci. (Eng.), Associate Professor, Head of the Department</p><p>Department of Energy</p><p>665709</p><p>40, Makarenko St.</p><p>Bratsk</p></bio><email xlink:type="simple">bulatovyura@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Братский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Bratsk State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>04</day><month>07</month><year>2022</year></pub-date><volume>26</volume><issue>2</issue><fpage>228</fpage><lpage>244</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Булатов Ю.Н., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Булатов Ю.Н.</copyright-holder><copyright-holder xml:lang="en">Bulatov Y.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://ipolytech.elpub.ru/jour/article/view/603">https://ipolytech.elpub.ru/jour/article/view/603</self-uri><abstract><p>   Цель – определение эффективности управления и возможности устранения фликера в электроэнергетических системах и системах электроснабжения с установками распределенной генерации с помощью групповых прогностических регуляторов напряжения и частоты. В качестве установки распределенной генерации рассматривалась малая тепловая электростанция, имеющая трансформаторную связь с электроэнергетической системой и состоящая из трех турбогенераторов мощностью 2,5 МВ·А каждый и напряжением 6 кВ. Также рассматривалась изолированная система электроснабжения с тремя газотурбинными установками мощностью 2,5 МВ·А каждая, работающими на статическую и двигательную нагрузки. Применялись методы теории автоматического управления. Исследования проводились в системе MatLab с помощью пакетов моделирования Simulink и SimPowerSystems. Полученные результаты моделирования показали, что при временном включении мощной нагрузки в узле присоединения установки распределенной генерации и использовании несогласованно настроенных регуляторов возникают колебания скорости вращения ротора и напряжения турбогенераторов, анализ которых свидетельствует о наличии фликера. К такому же эффекту может приводить и внезапное изменение времени прогноза для отдельных прогностических регуляторов скорости. Показано, что после отключения короткого замыкания длительностью 0,4 с вблизи газотурбинной установки возникает фликер напряжения. А при использовании локальных или групповых прогностических регуляторов удается решить проблему возникновения фликера. Применение групповых прогностических регуляторов позволяет более эффективно устранить фликер: уменьшается время переходного процесса в 1,7 раза для скорости вращения ротора генератора и в 2,7 раза – для напряжения; для напряжения практически устраняется перерегулирование. Результаты компьютерного моделирования подтвердили, что устранение фликера возможно путем применения группового управления прогностическими регуляторами скорости турбогенераторов. Аналогично для системы электроснабжения с газотурбинными установками использование прогностических алгоритмов управления позволило устранить фликер без решения задачи настройки регуляторов; при этом групповые прогностические регуляторы более эффективно устраняют фликер, улучшая показатели качества процесса управления.</p></abstract><trans-abstract xml:lang="en"><p>   In this work, we determine the control efficiency of grids with distributed generation and the possibility of eliminating flicker therein using group predictive voltage and frequency regulators. A small-size thermal power plant with the transformer connection to a power grid and consisting of three turbogenerators with a capacity of 2.5 MV·A each and a voltage of 6 kV was considered as a distributed generation plant. An isolated power supply system with three 2.5 MV·A gas turbine units each operating on static and motor loads was also considered. Automation control methods were used. Studies were conducted in the MatLab environment using the Simulink and SimPowerSystems simulation packages. The obtained results demonstrate that, upon temporarily activating the power load in the point of connecting a distributed generation unit and using inconsistent regulators, fluctuations occurring in the rotor speed and turbogenerator voltage indicate the presence of flicker effects. A similar situation can be caused by a sudden change in the forecast time for individual predictive speed controllers. Following the disconnection of a 0.4 s short circuit, a voltage flicker was found to occur in the vicinity of the gas turbine plant. However, local or group predictive regulators allow the problem of flicker emergence to be solved. The use of group predictive regulators allows flicker to be eliminated more effectively: the transient time is reduced by 1.7 and 2.7 times for the generator rotor speed and voltage, respectively. Moreover, for voltage, over-regulation is practically eliminated. The conducted computer simulation confirmed that flicker can be eliminated by applying group control of turbine generators using predictive speed controllers. Similarly, for a grid with gas turbine units, the use of predictive control algorithms made it possible to eliminate flicker without solving the problem of adjusting regulators. At the same time, group predictive regulators eliminate flicker more effectively, thereby improving the quality indicators of the control process.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>установки распределенной генерации</kwd><kwd>фликер</kwd><kwd>прогностические регуляторы</kwd><kwd>групповые прогностические регуляторы напряжения и частоты</kwd><kwd>моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>distributed generation plants</kwd><kwd>flicker</kwd><kwd>predictive controllers</kwd><kwd>group predictive voltage and frequency controllers</kwd><kwd>modeling</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследования выполнены при финансовой поддержке по гранту государственного задания Министерства науки и высшего образования России (проект № FZZS-2020-0039)</funding-statement><funding-statement xml:lang="en">The research was carried out with the financial support under the state assignment grant from the Ministry of Science and Higher Education of the Russian Federation (project No. FZZS-2020-0039)</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Voropai N. I., Stychinsky Z. A. Renewable energy sources: theoretical foundations, technologies, technical characteristics, economics. Magdeburg: Otto-von-Guericke-Universität, 2010. 223 p.</mixed-citation><mixed-citation xml:lang="en">Voropai N. I., Stychinsky Z. A. Renewable energy sources: theoretical foundations, technologies, technical characteristics, economics. Magdeburg: Otto-von-Guericke-Universität; 2010, 223 p.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Sheryazov S. K., Shelubaev M. V., Obukhov S. G. Renewable sources in system distributed generation // International Conference on Industrial Engineering, Applications and Manufacturing. 2017. https://doi.org/10.1109/ICIEAM.2017.8076247.</mixed-citation><mixed-citation xml:lang="en">Sheryazov S. K., Shelubaev M. V., Obukhov S. G. Renewable sources in system distributed generation. International Conference on Industrial Engineering, Applications and Manufacturing. 2017. https://doi.org/10.1109/ICIEAM.2017.8076247.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Blaabjerg Frede, Yang Yongheng, Yang Dongsheng, Wang Xiongfei. Distributed power-generation systems and protection // Proceedings of the IEEE. 2017. Vol. 105. Iss. 7. P. 1311–1331. https://doi.org/10.1109/JPROC.2017.2696878.</mixed-citation><mixed-citation xml:lang="en">Blaabjerg Frede, Yang Yongheng, Yang Dongsheng, Wang Xiongfei. Distributed power-generation systems and protection. In: Proceedings of the IEEE. 2017;105 (7): 1311-1331. https://doi.org/10.1109/JPROC.2017.2696878.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Venkataraman S., Ziesler C., Johnson P., Van Kempen S. Integrated wind, solar, and energy storage: designing plants with a better generation profile and lower overall cost // IEEE Power and Energy Magazine. 2018. Vol. 16. Iss. 3. P. 74–83. https://doi.org/10.1109/MPE.2018.2793478.</mixed-citation><mixed-citation xml:lang="en">Venkataraman S., Ziesler C., Johnson P., Van Kempen S. Integrated wind, solar, and energy storage: designing plants with a better generation profile and lower overall cost. IEEE Power and Energy Magazine. 2018; 16 (3): 74-83. https://doi.org/10.1109/MPE.2018.2793478.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Rhia R. Al., Daghrour H., Alsamara M. Optimal location of distributed generation and its impacts on voltage stability // 12th International Renewable Engineering Conference. 2021. https://doi.org/10.1109/IREC51415.2021.9427838.</mixed-citation><mixed-citation xml:lang="en">Rhia R. Al., Daghrour H., Alsamara M. Optimal location of distributed generation and its impacts on voltage stability. In: 12th International Renewable Engineering Conference. 2021. https://doi.org/10.1109/IREC51415.2021.9427838.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Verma R., Kashyap M. DG Penetration in distribution networks: a review // 7th International Conference on Advanced Computing and Communication Systems. 2021. P. 1144–1147. https://doi.org/10.1109/ICACCS51430.2021.9441813.</mixed-citation><mixed-citation xml:lang="en">Verma R., Kashyap M. DG Penetration in distribution networks: a review. In: 7th Interna-tional Conference on Advanced Computing and Communication Systems. 2021; 1144-1147. https://doi.org/10.1109/ICACCS51430.2021.9441813.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Bulatov Yu. N., Kryukov A. V., Nguen V. H. Effect of distributed generation plants' automatic controllers on power quality factors // Energy Systems Research 2019: International Conference of Young Scientists. E3S Web of Conferences. 2019. Vol. 114. Iss. 2. Р. 04004. https://doi.org/10.1051/e3sconf/201911404004.</mixed-citation><mixed-citation xml:lang="en">Bulatov Yu. N., Kryukov A. V., Nguen V. H. Effect of distributed generation plants' auto-matic controllers on power quality factors. In: Energy Systems Research 2019: International Conference of Young Scientists. E3S Web of Conferences. 2019; 114 (2): 04004. https://doi.org/10.1051/e3sconf/201911404004.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Sikorski T., Rezmer J. Distributed generation and its impact on power quality in low-voltage distribution networks // Power Quality Issues in Distributed Generation. 2015. Vol. 1. Iss. 6. Р. 34–41. https://doi.org/10.15199/48.2015.06.05.</mixed-citation><mixed-citation xml:lang="en">Sikorskii T., Rezmer J. Distributed generation and its impact on power quality in low-voltage distribution net-works. Power Quality Issues in Distributed Generation. 2015; 1 (6): 34-41. https://doi.org/10.15199/48.2015.06.05.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Barker P. P., De Mello R. W. Determining the impact of distributed generation on power systems. I. Radial distribution systems // Power Engineering Society Summer Meeting (Seattle, 16–20 July 2000). Seattle: IEEE, 2000. Vol. 3. P. 222–233. https://doi.org/10.1109/PESS.2000.868775.</mixed-citation><mixed-citation xml:lang="en">Barker P. P., De Mello R. W. Determining the impact of distributed generation on power systems. I. Radial distribution systems. In: Power Engineering Society Summer Meeting. 16–20 July 2000, Seattle. Seattle: IEEE; 2000; 3: 222-233. https://doi.org/10.1109/PESS.2000.868775.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Jenkins N., Allan R., Grossley P., Kirschen D., Strbac G. Embedded Generation. London; IEEЕ, 2000, 273 p.</mixed-citation><mixed-citation xml:lang="en">Jenkins N., Allan R., Grossley P., Kirschen D., Strbac G. Embedded Generation. London; IEEЕ; 2000, 273 p.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Bulatov Yu. N., Kryukov A. V., Suslov K. V. Solving the flicker noise origin problem by optimally controlled units of distributed generation // 18th International Conference on Harmonics and Quality of Power. 2018. https://doi.org/10.1109/ICHQP.2018.8378834.</mixed-citation><mixed-citation xml:lang="en">Bulatov Yu. N., Kryukov A. V., Suslov K. V. Solving the flicker noise origin problem by optimally controlled units of distributed generation. In: 18th International Conference on Harmonics and Quality of Power. 2018. https://doi.org/10.1109/ICHQP.2018.8378834.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Bulatov Yu., Kryukov A., Nguyen Van Huan. Flicker control in mains with distributed generation plants // ENERGY-21 – Sustainable Development &amp; Smart Management: E3S Web of Conferences. 2020. Vol. 209. P. 07001. https://doi.org/10.1051/e3sconf/202020907001.</mixed-citation><mixed-citation xml:lang="en">Bulatov Yu., Kryukov A., Nguyen Van Huan. Flicker control in mains with distributed generation plants. In: ENERGY-21 – Sustainable Development &amp; Smart Management: E3S Web of Conferences. 2020;209:07001. https://doi.org/10.1051/e3sconf/202020907001.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Pashchenko F., Pikina G., Rodomanova Yu. Universal searchless method for parametric optimization of predictive algorithms // 13th IEEE International Conference on Control &amp; Automation (Ohrid, 3–6 July 2017). Ohrid: IEEE, 2017. P. 952–957. https://doi.org/10.1109/ICCA.2017.8003189.</mixed-citation><mixed-citation xml:lang="en">Pashchenko F., Pikina G., Rodomanova Yu. Universal searchless method for parametric optimization of predictive algorithms. In: 13th IEEE International Conference on Control &amp; Automation. 3–6 July 2017, Ohrid. Ohrid: IEEE; 2017; p. 952-957. https://doi.org/10.1109/ICCA.2017.8003189.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Bulatov Yu. N., Kryukov A. V., Nguyen Van Huan. Automatic predictive controllers of distributed generators // International Multi-Conference on Industrial Engineering and Modern Technologies. 2018. https://doi.org/10.1109/FarEastCon.2018.8602718.</mixed-citation><mixed-citation xml:lang="en">Bulatov Yu. N., Kryukov A. V., Nguyen Van Huan. Automatic prognostic regulators of distributed generators. In: International Multi-Conference on Industrial Engineering and Modern Technologies. 2018. https://doi.org/10.1109/FarEastCon.2018.8602718.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Pikina G. A., Pashchenko F. F., Pashchenko A. F. Synthesis, research and comparative analysis of predictive control algorithms // International Multi-Conference on Industrial Engineering and Modern Technologies. 2020. https://doi.org/10.1109/FarEastCon50210.2020.9271646.</mixed-citation><mixed-citation xml:lang="en">Pikina G. A., Pashchenko F. F., Pashchenko A. F. Synthesis, research and compara-tive analysis of predictive control algorithms. In: International Multi-Conference on Industrial Engineering and Modern Technologies. 2020. https://doi.org/10.1109/FarEastCon50210.2020.9271646.</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Vittal V., McCalley J. D., Anderson P. M., Fouad A. A. Power system control and stability. 3rd Edition. Hoboken: Wiley-IEEE Press, 2002. 832 p.</mixed-citation><mixed-citation xml:lang="en">Vittal V., McCalley J. D., Anderson P. M., Fouad A. A. Power system control and stability. 3rd Edition. Hoboken: Wiley-IEEE Press; 2002, 832 p.</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Бушуев В. В. Динамические свойства энергосистем / В. В. Бушуев, Н. Н. Лизалек, Н. Л. Новиков. – М.: Энергоатомиздат, 1995. – 320 с.</mixed-citation><mixed-citation xml:lang="en">Bushuev V. V., Lizalek N. N., Novikov N. L. Dynamic properties of power systems. Moscow: Energoatomizdat; 1995, 320 р. (In Russ.).</mixed-citation></citation-alternatives></ref><ref id="cit18"><label>18</label><citation-alternatives><mixed-citation xml:lang="ru">Bulatov Yu. N., Kryukov A. V. Optimization of automatic regulator settings of the distributed generation plants on the basis of genetic algorithm // 2nd International Conference on Industrial Engineering, Applications and Manufacturing. 2016. https://doi.org/10.1109/ICIEAM.2016.7911456.</mixed-citation><mixed-citation xml:lang="en">Bulatov Yu. N., Kryukov A. V. Optimization of automatic regulator settings of the distributed generation plants on the basis of genetic algorithm. In: 2nd International Conference on Industrial Engineering, Applications and Manufacturing. 2016. https://doi.org/10.1109/ICIEAM.2016.7911456.</mixed-citation></citation-alternatives></ref><ref id="cit19"><label>19</label><citation-alternatives><mixed-citation xml:lang="ru">Castaniе F. Digital spectral analysis: parametric, non-parametric, and advanced methods. ISTE Ltd, 2006. 400 p. https://doi.org/10.1002/9781118601877.</mixed-citation><mixed-citation xml:lang="en">Castaniе F. Digital spectral analysis: parametric, non-parametric, and advanced methods. ISTE Ltd; 2006, 400 p. https://doi.org/10.1002/9781118601877.</mixed-citation></citation-alternatives></ref><ref id="cit20"><label>20</label><citation-alternatives><mixed-citation xml:lang="ru">Voss R. F. 1/f (flicker) noise: a brief review // 33rd Annual Symposium on Frequency Control (Atlantic City, 30 May – 1 June 1979). Atlantic City: IEEE, 1979. P. 40–46. https://doi.org/10.1109/FREQ.1979.200297.</mixed-citation><mixed-citation xml:lang="en">Voss R. F. 1/f (flicker) noise: a brief review. In: 33rd Annual Symposium on Frequency Control. 30 May – 1 June 1979, Atlantic City. Atlantic City: IEEE; 1979, p. 40-46. https://doi.org/10.1109/FREQ.1979.200297.</mixed-citation></citation-alternatives></ref><ref id="cit21"><label>21</label><citation-alternatives><mixed-citation xml:lang="ru">Gorban I. I. Statistically instable processes: connection with flicker, nonequilibrium, fractal and colored noise // Radioelectronics and Communications Systems. 2012. Vol. 55. P. 99–114. https://doi.org/10.3103/S0735272712030016.</mixed-citation><mixed-citation xml:lang="en">Gorban I. I. Statistically instable processes: connec-tion with flicker, nonequilibrium, fractal and colored noise. In: Radioelectronics and Communications Systems. 2012; 55: 99-114. https://doi.org/10.3103/S0735272712030016.</mixed-citation></citation-alternatives></ref><ref id="cit22"><label>22</label><citation-alternatives><mixed-citation xml:lang="ru">Меркурьев Г. В. Устойчивость энергосистем : В 2-х т. / Г. В. Меркурьев, Ю. М. Шаргин. – Т. 2. – СПб.: НОУ «Центр подготовки кадров энергетики», 2008. – 376 с.</mixed-citation><mixed-citation xml:lang="en">Merkuriev G. V., Shargin Yu. M. Power system stability. In 2 vol., vol. 2. St. Petersburg: Non-state private educational institution of additional professional education Center for Training Energy Personnel; 2008, 376 p. (In Russ.).</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
