2411-3336 2541-9404 Записки Горного института Journal of Mining Institute Санкт-Петербургский горный университет императрицы Екатерины ΙΙ Empress Catherine II Saint Petersburg Mining University 10.31897/PMI.2022.7 pmi-14737 https://pmi.spmi.ru/pmi/article/view/14737 Энергетика Energy industry Operation mode selection algorithm development of a wind-diesel power plant supply complex Разработка алгоритма выбора режимов работы комплекса электроснабжения с ветродизельной электростанцией Shklyarskiy Yaroslav E. Шклярский Я. Э. Shklyarskiy Yaroslav E. js-10@mail.ru 0000-0001-8803-9898 Санкт-Петербургский горный университет (Россия) Saint Petersburg Mining University (Russia) Batueva Daria E. Батуева Д. Е. Batueva Daria E. dasha-batueva4@rambler.ru 0000-0002-6945-2270 Санкт-Петербургский горный университет (Россия) Saint Petersburg Mining University (Russia) 29 04 2022 2022 253 115 126 11 03 2021 12 04 2021 29 04 2022 © 2022 Я. Э. Шклярский, Д. Е. Батуева © 2022 Yaroslav E. Shklyarskiy, Daria E. Batueva 2022 Я. Э. Шклярский, Д. Е. Батуева Yaroslav E. Shklyarskiy, Daria E. Batueva Эта статья доступна по лицензии Creative Commons Attribution 4.0 International (CC BY 4.0) This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) https://pmi.spmi.ru/pmi/article/view/14737

Система электроснабжения подвергается влиянию внешних возмущений, поэтому она должна быть устойчива и работать в нормальном режиме в условиях соблюдения норм по качеству электроэнергии. Система электроснабжения переходит в ненормальные режимы работы, когда после какого-либо кратковременного нарушения или возмущения она не восстанавливает нормальный режим. Электротехнический комплекс, в состав которого входит ветроэнергетическая установка, а также подключены параллельно аккумуляторная батарея и дизель-генераторная установка, способен обеспечить надежное электроснабжение потребителей в соответствии с показателями качества электроэнергии. В статье разработан алгоритм, который реализует система автоматического управления, для выбора режима работы в зависимости от климатических факторов (ветра) и прогноза энергопотребления на сутки вперед. Прогнозные данные выбираются исходя из того, в каком из методов ошибка прогнозирования будет наименьшей. Сделан вывод о том, что если в систему автоматического управления добавлять данные прогноза энергопотребления, тогда можно будет повысить эффективность работы комплекса электроснабжения. В разработанном алгоритме проверка нормальных и ненормальных режимов работы рассмотрена на основе теории устойчивости. Выделены критерии оценки нормального режима работы, а также рассмотрены показатели графиков нагрузки объекта для оценки загрузки источников электроснабжения и нормы качества электроснабжения потребителей для ранжирования нагрузки по приоритетности при критических условиях эксплуатации и восстановлении нормального режима работы.

The power supply system is affected by external disturbances, so it should be stable and operate normally in compliance with power quality standards. The power supply system goes into abnormal modes operation when, after a short-term failure or disturbance, it does not restore normal mode. The electrical complex, which includes a wind power plant, as well as a battery and a diesel generator connected in parallel, is able to provide reliable power supply to consumers which meets the power quality indicators. The article develops an algorithm that is implemented by an automatic control system to select the operating mode depending on climatic factors (wind) and the forecast of energy consumption for the day ahead. Forecast data is selected based on the choice of the methods, which will have the smallest forecast error. It is concluded that if the energy consumption forecast data is added to the automatic control system, then it will be possible to increase the efficiency of the power supply complex. In the developed algorithm the verification of normal and abnormal modes of operation is considered based on the stability theory. The criteria for assessing the normal mode of operation are identified, as well as the indicators of the object’s load schedules for assessing the load of power supply sources and the quality standards for power supply to consumers for ranking the load by priority under critical operating conditions and restoring normal operation are considered.

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