Wind, solar, and photovoltaic renewable energy systems with and without energy storage optimization: A survey of advanced machine learning and deep learning …
Nowadays, learning-based modeling methods are utilized to build a precise forecast model
for renewable power sources. Computational Intelligence (CI) techniques have been …
for renewable power sources. Computational Intelligence (CI) techniques have been …
Hybrid wind/photovoltaic energy system developments: Critical review and findings
Renewable energy sources are certain to play a key role in the future energy generation due
to the rapid depletion of conventional sources of energy. The solar and wind energy are the …
to the rapid depletion of conventional sources of energy. The solar and wind energy are the …
A model predictive control approach to microgrid operation optimization
Microgrids are subsystems of the distribution grid, which comprises generation capacities,
storage devices, and controllable loads, operating as a single controllable system either …
storage devices, and controllable loads, operating as a single controllable system either …
Operational optimization and demand response of hybrid renewable energy systems
This paper presents a methodology to systematically formulate a hybrid renewable energy
system (HRES), which consists of solar, wind and diesel generator as a backup resource as …
system (HRES), which consists of solar, wind and diesel generator as a backup resource as …
Hierarchical distributed model predictive control of standalone wind/solar/battery power system
X Kong, X Liu, L Ma, KY Lee - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
A microgrid is a distributed networked generation system, which can effectively integrate
various sources of distributed generation, especially renewable energy sources into the …
various sources of distributed generation, especially renewable energy sources into the …
Grid-connected PV-wind-battery-based multi-input transformer-coupled bidirectional DC-DC converter for household applications
In this paper, a control strategy for power flow management of a grid-connected hybrid
photovoltaic (PV)-wind-battery-based system with an efficient multi-input transformer …
photovoltaic (PV)-wind-battery-based system with an efficient multi-input transformer …
Optimal design of hydro-wind-PV multi-energy complementary systems considering smooth power output
Y Ren, X Yao, D Liu, R Qiao, L Zhang, K Zhang… - Sustainable Energy …, 2022 - Elsevier
Photovoltaic (PV) and wind power are intermittent and random, and their grid-connected
operation will harm power system stability. Since hydropower has the characteristics of …
operation will harm power system stability. Since hydropower has the characteristics of …
A review on control strategies for microgrids with distributed energy resources, energy storage systems, and electric vehicles
This paper presents a brief review of state‐of‐the‐art operation and control strategies of
distributed energy resources, energy storage systems, and electric vehicles in the microgrid …
distributed energy resources, energy storage systems, and electric vehicles in the microgrid …
Use of model predictive control for experimental microgrid optimization
In this paper we deal with the problem of efficiently optimizing microgrid operations while
satisfying a time-varying request and operation constraints. Microgrids are subsystems of the …
satisfying a time-varying request and operation constraints. Microgrids are subsystems of the …
Economic model predictive control for microgrid optimization: A review
Microgrids have emerged as a promising solution to integrate distributed energy resources
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …
(DERs) and supply reliable and efficient electricity. The operation of a microgrid involves the …