Improvement of voltage stability for grid connected solar photovoltaic systems using static synchronous compensator with recurrent neural network

• Дата: 2022
• Автори: Praveen Kumar, T., Ganapathy, S., Manikandan, M.
• Формат: Стаття
• Мова: English
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2022
• Теми: static synchronous compensator; photovoltaic fed; adaptive neuro-fuzzy inference system; recurrent neural network; статичний синхронний компенсатор; фотоелектричне живлення; адаптивна нейро-нечітка система виведення; рекурентна нейронна мережа
• Онлайн доступ: http://eie.khpi.edu.ua/article/view/249177
• Назва журналу: Electrical Engineering & Electromechanics

Purpose. This article proposes a new control strategy for static synchronous compensator in utility grid system. The proposed photovoltaic fed static synchronous compensator is utilized along with recurrent neural network based reference voltage generation is presented in grid system network. The no...