A comprehensive review on ensemble solar power forecasting algorithms

N Rahimi, S Park, W Choi, B Oh, S Kim, Y Cho… - Journal of Electrical …, 2023 - Springer
With increasing demand for energy, the penetration of alternative sources such as
renewable energy in power grids has increased. Solar energy is one of the most common …

Irradiance variability quantification and small-scale averaging in space and time: A short review

GM Lohmann - Atmosphere, 2018 - mdpi.com
The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to
weather-induced PV power output variability. Understanding the underlying spatiotemporal …

[HTML][HTML] Intelligent energy storage management trade-off system applied to Deep Learning predictions

M Cordeiro-Costas, D Villanueva, P Eguía-Oller… - Journal of Energy …, 2023 - Elsevier
The control of the electrical power supply is one of the key bases to reach the sustainable
development goals set by United Nations. The achievement of these objectives encourages …

Method for planning a wind–solar–battery hybrid power plant with optimal generation‐demand matching

M Khalid, M AlMuhaini, RP Aguilera… - IET Renewable Power …, 2018 - Wiley Online Library
This study aims to propose a methodology for a hybrid wind–solar power plant with the
optimal contribution of renewable energy resources supported by battery energy storage …

Multi‐time‐scale coordinated ramp‐rate control for photovoltaic plants and battery energy storage

X Ai, J Li, J Fang, W Yao, H Xie, R Cai… - IET Renewable Power …, 2018 - Wiley Online Library
The variability of solar irradiance with a high ramp rate may lead to fluctuation in the output
of photovoltaic (PV) plants and burdens the power system regulations. A novel control …

Real‐time resilient microgrid power management based on multi‐agent systems with price forecast

ME Cruz Victorio, B Kazemtabrizi, M Shahbazi - IET Smart Grid, 2023 - Wiley Online Library
Microgrids have emerged to diversify conventional electric generation using small‐scale
distributed generation. Large efforts have been put into designing control strategies to …

[PDF][PDF] Generation of hybrid energy system (solar-wind) supported with battery energy storage

S Srivastava - Int J Res Appl Sci Eng Technol, 2022 - academia.edu
The utilization of renewable energy is significantly important for the world because global
energy consumption is increasing, while conventional energy sources are no longer …

Price Forecast Methodologies Comparison for Microgrid Control with Multi-Agent Systems

MEC Victorio, B Kazemtabrizi… - 2021 IEEE Madrid …, 2021 - ieeexplore.ieee.org
Multi-Agent systems offer a way to control distributed generation in microgrids, reliability and
cost minimisation capabilities can be improved by price forecast methodologies that can be …

Distributed real-time power management in microgrids using multi-agent control with provisions for fault-tolerance

MEC Victorio, B Kazemtabrizi… - 2020 IEEE 29th …, 2020 - ieeexplore.ieee.org
This paper presents a distributed real-time control scheme based on multi-agent systems for
cost optimisation of a micro-grid using real-time dynamic price estimation. The real-time …

A nested mcmc method incorporated with atmospheric process decomposition for photovoltaic power simulation

C Zhu, Y Zhang, Z Yan, J Zhu - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Large-scale photovoltaic (PV) generation's uncertainties significantly affect power system
planning and operations. Thus, a stochastic PV power simulation method, which can …