Energy management in power distribution systems: Review, classification, limitations and challenges

MS Alam, SA Arefifar - IEEE Access, 2019 - ieeexplore.ieee.org
Energy management in distribution systems has gained attention in recent years.
Coordination of electricity generation and consumption is crucial to save energy, reduce …

Application strategies of model predictive control for the design and operations of renewable energy-based microgrid: a survey

KV Konneh, OB Adewuyi, ME Lotfy, Y Sun, T Senjyu - Electronics, 2022 - mdpi.com
In recent times, Microgrids (MG) have emerged as solution approach to establishing resilient
power systems. However, the integration of Renewable Energy Resources (RERs) comes …

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

LL Li, SY Wen, ML Tseng, CS Wang - Journal of Cleaner Production, 2019 - Elsevier
Photovoltaic power generation is gradually developing into a massive power industry with
the maturity of renewable energy power generation technologies. Photovoltaic power …

Advanced microgrid energy management system for future sustainable and resilient power grid

F Yang, X Feng, Z Li - IEEE Transactions on Industry …, 2019 - ieeexplore.ieee.org
Microgrid technology has found applications in various areas including institutional
campuses, military bases, and remote islands. Many research efforts focus on the …

Advances and opportunities in the model predictive control of microgrids: Part II–Secondary and tertiary layers

O Babayomi, Z Zhang, T Dragicevic, R Heydari… - International Journal of …, 2022 - Elsevier
Abstract Model predictive control (MPC) facilitates the multi-variable control of power
electronic systems while accommodating physical constraints without the necessity for a …

Toward data-driven predictive control of multi-energy distribution systems

D Bilgic, A Koch, G Pan, T Faulwasser - Electric Power Systems Research, 2022 - Elsevier
The necessity to obtain, to parametrize, and to maintain models of the underlying dynamics
impedes predictive control of energy systems in many real-world applications. To alleviate …

Deep learning for photovoltaic generation forecast in active solar trackers

C Kasburg, SF Stefenon - IEEE Latin America Transactions, 2019 - ieeexplore.ieee.org
The generation of electricity by photovoltaic panels depends on the position of solar
incidence on them. Using active solar trackers may be a maximization of generating …

Data-driven energy management system with Gaussian process forecasting and MPC for interconnected microgrids

LK Gan, PF Zhang, J Lee, MA Osborne… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Interest in predicting and optimising microgrid operation with a high proportion of variable
renewable energy generation is growing. In this paper, we study and experimentally analyse …

Real-time nonlinear model predictive control (NMPC) strategies using physics-based models for advanced lithium-ion battery management system (BMS)

S Kolluri, SV Aduru, M Pathak, RD Braatz… - Journal of The …, 2020 - iopscience.iop.org
Optimal operation of lithium-ion batteries requires robust battery models for advanced
battery management systems (ABMS). A nonlinear model predictive control strategy is …

Optimal operation of home energy management systems in the presence of the inverter-based heating, ventilation and air conditioning system

M Javadi, AE Nezhad, K Firouzi… - … on Environment and …, 2020 - ieeexplore.ieee.org
This paper presents the optimal operation strategy for home energy management system
(HEMS) in the presence of the inverter-based heating, ventilation and air conditioning …