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A Comprehensive Exploration of Mathematical Programming and Optimization Techniques in Electrical and Electronics Engineering
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Author(s): S. Nagarani (Department of Mathematics, Sri Ramakrishna Institute of Technology, Coimbatore, India), A. Arivarasi (Department of Electronics and Communication Engineering, Sri Sairam College of Engineering, Bangalore, India), L. Ancelin (Department of Mathematics, Madras Christian College, Chennai, India), R. Naveeth Kumar (Department of Biomedical Engineering, Dr. NGP Institute of Technology, Coimbatore, India), Arvind Sharma (Department of Electronics and Communication Engineering, Government Women Engineering College, Ajmer, India)and Sureshkumar Myilsamy (Bannari Amman Institute of Technology, India)
Copyright: 2024
Pages: 27
Source title:
Semantic Web Technologies and Applications in Artificial Intelligence of Things
Source Author(s)/Editor(s): Fernando Ortiz-Rodriguez (Tamaulipas Autonomous University, Mexico), Amed Leyva-Mederos (Universidad Central "Marta Abreu" de Las Villas, Cuba), Sanju Tiwari (Tamaulipas Autonomous University, Mexico), Ania R. Hernandez-Quintana (Universidad de La Habana, Cuba)and Jose L. Martinez-Rodriguez (Autonomous University of Tamaulipas, Mexico)
DOI: 10.4018/979-8-3693-1487-6.ch019
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Abstract
This chapter delves into the use of mathematical programming techniques in electrical and electronics engineering, highlighting their significance in enhancing efficiency, resource allocation, and decision-making processes. Techniques like linear programming, nonlinear programming, and integer programming are utilized for optimal power system resource allocation, design optimization, and discrete decision variables in circuit design. Mixed-integer programming is used for network optimization, dynamic programming for trajectory optimization, quadratic programming for control strategies, stochastic programming for uncertainties in electrical grid operations, and convex programming for structural optimization.
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