In the context of renewable energy, an IoT-connected system offers efficient monitoring and control capabilities for photovoltaic (PV) systems in large and isolated fields, surpassing human inspection operations [52].
In the context of renewable energy, an IoT-connected system offers efficient monitoring and control capabilities for photovoltaic (PV) systems in large and isolated fields, surpassing human inspection operations [52].
The simulation proposes using model predictive control (MPC) applied to a dual axis solar tracker using Matlab/Simulink, which is capable of producing continuous results and handling various systematic process control limits. MPC is chosen due to its ability to predict future process outputs, consider existing constraints, and control various ...
Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies. Energy Reports, 6, 1312–1327. Article Google Scholar Yazdani, A., & Iravani, R. (2010). Voltage-sourced converters in power systems: modeling, control, and applications. Wiley.
In the context of renewable energy, an IoT-connected system offers efficient …
Against this background, this chapter points out the latest solar tracking technologies that can …
This paper proposes an intelligent controller design that will integrate three main sources of power: solar, wind and thermal power in such a way that it will reduce the burden of power generation from thermal power plant and tries to replace thermal power plant use with solar-wind hybrid power plant use. The goal of the proposed model is to reduce air pollution specially due …
In this paper, we present a novel approach to the problem of solar energy tracking to improve the system reliability and resilience using model prediction-based dependable control, with hardware implementation and experimental results for a building microgrid. We first introduce a control hierarchy to manage the solar tracking of PV panels ...
Intelligent control strategies and optimization methods are utilized in solar energy systems. • Optimizations strategies reduce emissions and costs of system into maximizing reliability. • Solar energy systems enhance the output power and minimize the interruptions in the connected load. • This review highlights the challenges on optimization to increase efficient …
In this review, we study intelligent systems for energy management in residential, commercial and educational buildings, classifying them in two major categories depending on whether they provide direct or indirect control. The article also discusses what the strengths and weaknesses are, which optimization techniques do they use and finally, provide …
I would like to express my gratitude to the students of the Intelligent Control Systems course of the YTÜ Control and Automation Engineering department, Class of Fall 2022, whose dedication and hard work made this project possible. I am also deeply thankful to Doctors Marco Rossi, Julia Hoerner, and Melda Ulusoy for their invaluable contributions.
The large variabilities in renewable energy (RE) generation can make it challenging for renewable power systems to provide stable power supplies; however, artificial intelligence (AI)-based ...
Neural network technologies have been used to control the distribution of electricity produced in a solar power plant. In this paper, it is proposed to use a neural network to track the point of maximum power, for more efficient charge control. This is a method of regulating the battery charge to increase the amount of electricity received. The ...
Abstract: The paper considers an intelligent automated solar tracking control system designed to increase the efficiency of solar energy production. The proposed method of detecting cloudiness allows system to adapt to various weather conditions in real time by changing the angle of the solar panel. It is known that in case of strong scattering ...
The Internet of Things (IoT) serves as a key component to enhance …
In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally …
The utilization of artificial intelligence (AI) is crucial for improving the energy generation of PV systems under various climatic circumstances, as conventional controllers do not effectively optimize the energy output of solar systems. Nevertheless, the performance of PV systems can be influenced by fluctuations in meteorological conditions ...
Neural network technologies have been used to control the distribution of electricity produced …
This paper examines how to use IoT, a solar photovoltaic system being monitored, and shows …
Against this background, this chapter points out the latest solar tracking technologies that can be further optimized by AI machine learning for improved efficiency as well as economic returns from these capital investments into such technological infrastructure integrated with smart grid and energy storage facilities.
In this paper, we present a novel approach to the problem of solar energy …
The Internet of Things (IoT) serves as a key component to enhance operational efficiency and decision-making in the context of supervisory control and data acquisition (SCADA) systems. Featuring the improved system robustness and real-time parameters, including images of the load, a new design of SCADA system monitoring for a photovoltaic (PV) system based …
Abstract: The paper considers an intelligent automated solar tracking control system designed …
This review deals with the control of parabolic trough collector (PTC) solar power plants. After a brief introduction, we present a description of PTC plants. We then provide a short literature review and describe some of our experiences. We also describe new control trends in PTC plants. Recent research has focused on (a) new control methods using mobile sensors mounted on …
In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system.
This paper examines how to use IoT, a solar photovoltaic system being monitored, and shows the proposed monitoring system is a potentially viable option for smart remote and in-person monitoring of a solar PV system.
A concentrated solar (138 MW) and wind energy (146 MW) system is proposed in Sezer et al. (2019), where wind energy acts as a backup during insufficient solar irradiance. The energy efficiency for the combined operation of the two energy sources is 61.3%. In Soliman et al. (2021), a fuzzy logic and high sliding mode control-based intelligent ...
The simulation proposes using model predictive control (MPC) applied to a …
El Shenawy ET, Kamal M, Mohamad MA (2012) Artificial intelligent control of a solar tracking system. J Appl Sci Res 8(8):3971–3984. Google Scholar Engin M, Engin D (2013) Optimization controller for mechatronic Sun tracking system to improve performance. Adv Mech Eng 5:1–9. Google Scholar
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