Photovoltaic Power Generation Systems and Applications Using Particle Swarm optimization Algorithms

Wang, Jian; Wei, Kai; Ansari, Mohd Dilshad; Ansari, Mohammed Saleh Al; Verma, Amit

doi:10.5152/electrica.2022.22086

Cited by 5 publications

(2 citation statements)

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“…The method can be applied to other types of facilities, particularly other power system facilities, supporting various techniques for optimizing their operation (e.g., [ 69 ]). Nevertheless, it probably won’t be as effective as in the analysed case for objects with less regular shapes.…”

Section: Discussionmentioning

confidence: 99%

Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles

Tomaszewski

Gasz

Osuchowski

2023

Sensors

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Proper maintenance of the electricity infrastructure requires periodic condition inspections of power line insulators, which can be subjected to various damages such as burns or fractures. The article includes an introduction to the problem of insulator detection and a description of various currently used methods. Afterwards, the authors proposed a new method for the detection of the power line insulators in digital images by applying selected signal analysis and machine learning algorithms. The insulators detected in the images can be further assessed in depth. The data set used in the study consists of images acquired by an Unmanned Aerial Vehicle (UAV) during its overflight along a high-voltage line located on the outskirts of the city of Opole, Opolskie Voivodeship, Poland. In the digital images, the insulators were placed against different backgrounds, for example, sky, clouds, tree branches, elements of power infrastructure (wires, trusses), farmland, bushes, etc. The proposed method is based on colour intensity profile classification on digital images. Firstly, the set of points located on digital images of power line insulators is determined. Subsequently, those points are connected using lines that depict colour intensity profiles. These profiles were transformed using the Periodogram method or Welch method and then classified with Decision Tree, Random Forest or XGBoost algorithms. In the article, the authors described the computational experiments, the obtained results and possible directions for further research. In the best case, the proposed solution achieved satisfactory efficiency (F1 score = 0.99). Promising classification results indicate the possibility of the practical application of the presented method.

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Section: Discussionmentioning

confidence: 99%

Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles

Tomaszewski

Gasz

Osuchowski

2023

Sensors

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“…A biomimetic algorithm is a kind of algorithm that simulates the random search method of natural biological evolution or group social behavior, and its application range is wide, such as Jaaz et al [30] designed whale optimization weighted fuzzy clustering head selection algorithm to promote successful communication of IoMT-based systems. Wang et al [31] adopted the PSO algorithm in the photovoltaic power generation system, which can quickly and accurately control the maximum power point in the event of sudden changes in lighting. In the application of path planning, Chen et al [32] aimed at the path planning problem of deployment and acquisition of a rail vehicle system composed of one ground mobile robot and two aerial flying robots, considered the actual constraints, minimized the objective function, transformed the path planning problem of the robot system into a multi-constraint optimization problem, and used the PSO algorithm for path planning.…”

Section: Related Workmentioning

confidence: 99%

Optimized-Weighted-Speedy Q-Learning Algorithm for Multi-UGV in Static Environment Path Planning under Anti-Collision Cooperation Mechanism

Cao

Fang

2023

Mathematics

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With the accelerated development of smart cities, the concept of a “smart industrial park” in which unmanned ground vehicles (UGVs) have wide application has entered the industrial field of vision. When faced with multiple tasks and heterogeneous tasks, the task execution efficiency of a single UGV is inefficient, thus the task planning research under multi-UGV cooperation has become more urgent. In this paper, under the anti-collision cooperation mechanism for multi-UGV path planning, an improved algorithm with optimized-weighted-speedy Q-learning (OWS Q-learning) is proposed. The slow convergence speed of the Q-learning algorithm is overcome to a certain extent by changing the update mode of the Q function. By improving the selection mode of learning rate and the selection strategy of action, the relationship between exploration and utilization is balanced, and the learning efficiency of multi-agent in complex environments is improved. The simulation experiments in static environment show that the designed anti-collision coordination mechanism effectively solves the coordination problem of multiple UGVs in the same scenario. In the same experimental scenario, compared with the Q-learning algorithm and other reinforcement learning algorithms, only the OWS Q-learning algorithm achieves the convergence effect, and the OWS Q-learning algorithm has the shortest collision-free path for UGVS and the least time to complete the planning. Compared with the Q-learning algorithm, the calculation time of the OWS Q-learning algorithm in the three experimental scenarios is improved by 53.93%, 67.21%, and 53.53%, respectively. This effectively improves the intelligent development of UGV in smart parks.

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A method for predicting photovoltaic output power based on PCC-GRA-PCA meteorological elements dimensionality reduction method

Yang,

Cui,

2024

International Journal of Green Energy

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Photovoltaic Power Generation Systems and Applications Using Particle Swarm optimization Algorithms

Cited by 5 publications

References 0 publications

Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles

Detection of Power Line Insulators in Digital Images Based on the Transformed Colour Intensity Profiles

Optimized-Weighted-Speedy Q-Learning Algorithm for Multi-UGV in Static Environment Path Planning under Anti-Collision Cooperation Mechanism

A method for predicting photovoltaic output power based on PCC-GRA-PCA meteorological elements dimensionality reduction method

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