Projects – Welcome to Machine Learning, Computer Vision, and Dynamic Systems Group

Modeling and Control Methods of Cyber-Physical Systems in Multi-Energy Microgrids

International Project of ESI SB RAS (Russia, PI), CSU (China) and IIT Roorkee (India). The concept of intelligent multi-energy microgrids is based on the development and the introduction of cyberphysical systems based on effective mathematical models, telecommunication and information management technologies that allow efficiently generate, s

CSUIITRmulti-energy microgrid

Contemporary Methods for Nonlinear Crisp and Fuzzy Dynamic Models: Theory and Applications

The purpose of this project is to study mathematical models of power systems with energy storage and electrical load leveling using modern methods of nonlinear analysis. The models under study are based on the Volterra integral equations with discontinuous kernels. The project is aimed at solving these classes in linear, non-linear and multidimens

RSF

Разработка математических методов интеграции возобновляемых источников генерации и накопителей энергии в современные энергосистемы

Руководитель: Жуков Алексей Проект поддержан фондом РФФИПроект направлен на разработку математического метода для эффективного управления накопителями энергии в электроэнергетических

RFBR

Nonlinear dynamical models for wind power systems: forecasting and storage systems control

Project Leads: Prof. RAS Denis Sidorov1 and Prof. Fang Liu2 1Melentiev Energy Systems Institute (Russia), 2Central South University (China) Wind power systems are characterized by generation variability. The project deals with the integration of wind energy systems using new energy storage control algorithms, as well as forecasting models of

CSUgrantProject