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Application of Evolutionary Computation - Genetic Algorithm in the Unified Model Design Considerations for ACSRLiu, Hongyan 01 1900 (has links)
Aluminum Conductor Steel Reinforced (ACSR) conductors have been applied in electric power transmission and distribution for over 80 years. Research about ACSR includes its possible properties in electrical, mechanical, and thermal areas. We postulate that these properties predict certain behaviours in power transmission and distribution lines. Four models have been established by various authors for determining conductor behaviour. They are the electromagnetic, mechanical, radial conduction, and steady-state thermal models. These models were developed independently,. Although they can be used in their fields individually, there are no experimental studies verifying a combined model. Also, using them separately does not yield the required information for determining conductor performance. The unified model connects these models probabilistically by considering power system loads and meteorological factors. Based on the unified model and its modules, it is possible to use mathematical tools to optimize the ACSR design and analyze conductor characteristics when conductor parameters are changed,. Evolutionary Computation is an optimization process simulating natural evolution on the computer. Instances based on evolutionary principles are Evolutionary Algorithms that historically include Genetic Algorithms, Evolution Strategies, and Evolutionary Programming. Genetic Algorithms are used in the optimization of multi-dimensional problems in this work. Evolutionary Algorithms are empirically robust in finding near-optimal solutions to complex problems through parallel searches of solution space. Evolution Computations imitates natural evolution and genetic variation, and lays the mathematical foundation for problems in which many inputs are variable. Especially, Genetic Algorithms are extensively applied in engineering to solve problems without satisfying gradient descent, deterministic hill climbing, or purely random search. This project introduces the Evolutionary Algorithms and applies the Genetic Algorithms to the unified models. The problem solved by applying Genetic Algorithms to optimize the unified model is to select optimum multi-dimensional input parameters for the model. This provides an effective way to find conductor size for optimizing conductor design. The results give the variation of electrical, thermal, and mechanical characteristics according to conductor loss changes and predict the variation ranges of electric and magnetic fields of three-layer conductors within ASTM standards. The procedure to apply Genetic Algorithms to optimize ACSR design is unique to the problem. Objective functions are found according to the characteristics of each model. The results are put into the unified model. Comparing results gives rules to change geometrical parameters of ACSR to reach minimal Joule loss. / Thesis / Master of Engineering (ME)
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Fluage des conducteurs de lignes de transport d’énergie électrique à partir du fluage des fils d’aluminiumNakouri, Hejer January 2015 (has links)
Ce travail porte sur la thématique du fluage des conducteurs des lignes électriques aériennes. L’objectif général de ce projet de recherche est d’étudier l’effet de la température sur le fluage des conducteurs. L’approche présentée permet de prédire le fluage des conducteurs en fonction de celui des brins constitutifs.
Un banc d’essai du fluage des fils d’aluminium a été conçu et validé avec des essais préliminaires de 100 heures. Le protocole de mise en charge ainsi que l’instrumentation pour la mesure de l’allongement ont été particulièrement étudiés lors des essais préliminaires. Ensuite, le fluage des brins d’aluminium soumis à contraintes variant de 30 à 106 MPa et des températures de 21 et 38 °C a été évalué avec des tests de 1000 heures.
L’approche a été validée en comparant les résultats obtenus à des résultats expérimentaux publiés dans la littérature.
On peut conclure qu’avec quelques équations analytiques simples, il est possible de prédire le comportement d’un conducteur complet à partir des résultats d’essais sur brins.
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Sparse Matrix-Vector Multiplication on GPUAshari, Arash January 2014 (has links)
No description available.
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Porovnání klasického AlFe vedení s technologiemi ACCC / The comparison of classic AlFe line with ACCC technologiesHrachiar, Róbert January 2018 (has links)
The diploma thesis deals with the comparison of the conduction with the classic "AlFe" ropes (ACSR technology - aluminium conductor steel reinforced) and the line with the ACCC technology (aluminum core composite core). The first part describes the development of the transmission and distribution network in the Czech Republic. Subsequently types of conductors are described, its construction and main characteristics. The theoretical part also consists of theoretical knowledge about compared types of conductors and knowledge from the field of external lines. During the creation of the theoretical part of the thesis, we gained experience in the advanced functions of Excel, which are later used in practical part. The practical part of the thesis consists of creation of the calculation program itself, instructions and calculation methodology. Included is also an example of use of the program that compars two types of conductors of the same diameter, the same transmitted current and the same weight per unit length.
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