Адаптивная система обеспечения максимальной выходной мощности фотоэлектрической станции на основе робастного прогнозного управления

Фотоэлектрические станции (ФЭС) характеризуются нелинейной зависимостью выходного тока и напряжения с уникальной точкой  максимальной  выходной мощности (МВМ), зависящей от условий эксплуатации – температуры и уровня солнечной радиации. Поэтому для повышения эффективности фотоэлектрического преобразования необходимо обеспечить работу ФЭС в точке МВМ. Это достигается применением соответствующих алгоритмов управления, наиболее известными из которых являются P&O («возмущение и наблюдение»). Эти алгоритмы основаны на изменении напряжения постоянного тока ФЭС с помощью преобразователя постоянного тока (регулятора), выходное напряжение которого должно изменяться по определенному закону с изменением условий эксплуатации. При этом используются регуляторы: пропорциональные (П), интегральные (И), дифференциальные (Д) или чаще всего их комбинации ПИД. В статье исследуется эффективность применения регулятора с прогнозным адаптивным управлением (MPC). Посредством численных экспериментов на разработанной имитационной модели показано, что ПИД-регуляторы в интеграции с P&O и INC алгоритмами не обеспечивают достаточно быстрой реакции при изменении условий внешней среды. В то же время МРС в сочетании с P&O имеет преимущества как по времени регулирования (в шесть раз при принятых условиях эксперимента), так и по количеству колебаний.

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