UNIVERSITY OF BUEA HIGHER TECHNICAL TEACHERS' TRAINING COLLEGE (HTTTC) KUMBA DEPARTMENT OF ELEECTRICAL AND POWER ENGINEERING OPTION: ELECTRONICS Teaching Optimization in Electrical Engineering with SCILAB (original) (raw)
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The International Journal of Electrical Engineering & Education, 2018
State estimation is one of the most important processes to perform a reliable monitoring and control of the steady-state operating condition of modern electric power systems; thus, it is currently a fundamental part in the development of research to enhance the monitoring and security of the smart grids operation. This important topic is taught in advanced courses of operation and control of power systems, for graduate and undergraduate power engineering students. However, the most used software packages for simulation and analysis of power systems by researchers, students, and educators have put little attention on the state estimation module. Due to this fact, this paper proposes an approach to develop the computational implementation of a practical educational tool for state estimation of electric power systems using the MATLAB optimization toolbox. In this proposal, the formulation of the state estimation problem consists of developing a general digital code to implement an obje...
IJERT-Development of A Power System Simulation Application using MATLAB
International Journal of Engineering Research and Technology (IJERT), 2018
https://www.ijert.org/development-of-a-power-system-simulation-application-using-matlab https://www.ijert.org/research/development-of-a-power-system-simulation-application-using-matlab-IJERTCONV6IS15091.pdf To develop an application in MATLAB which includes Load flow analysis, Short circuit analysis, power angle diagram for synchronous generator and Economic dispatch. This proposed project aims at writing codes in MATLAB m-file for calculation of load flow analysis by Newton-Raphson and Gauss-Seidal methods. Custom made libraries developed in SIMULINK helps to draw power system network(limited to 3 buses) and the inputs such as Voltage, Active power, Reactive power, impedances are taken to the m-file through the GUI. Similarily same methodology is used in short circuit analysis, power angle diagram and economic dispatch. All the four systems are integrated to form the "Canara Power System Simulation" package.
Conventional Optimal Power Flow Analysis Using the Matlab Optimization Toolbox
This paper presents the solution of a conventional Optimal Power Flow (OPF) model by using the optimization toolbox provided by Matlab. For the OPF model solution it is only required to be defined into two separated M files: i) the given objective function and ii) the equality and inequality constraints sets, without the need of defining associated Gradient and Hessian expressions required by gradient search-based algorithms. Therefore the complexity degree related to the proposed OPF model implementation is similar to that required by commercial specialized packages for solving optimization models, but with the advantage that Matlab is commonly the available software for research and academic purposes in electric engineering. This hugely reduces the time to the implementation, and for obtaining results, of a conventional OPF analysis of electric energy systems.
OPTIMIZATION IN PRACTICE WITH MATLAB® FOR ENGINEERING STUDENTS AND PROFESSIONALS
Optimization in Practice with MATLAB® provides a unique approach to optimization education. It is accessible to junior and senior undergraduate, and graduate students, as well as industry practitioners. It provides a strongly practical perspective that allows the student to be ready to use optimization in the workplace. It covers traditional materials, as well as important topics previously unavailable in optimization books (e.g., Numerical Essentials-for successful optimization). Outstanding features include: • Provides practical applications of real-world problems using MATLAB. • Each chapter includes a suite of practical examples and exercises that help students link the theoretical, the analytical and the computational. These include a robust set of real-world exercises. • Provides supporting MATLAB codes that offer the opportunity to apply optimization at all levels, from students' term projects to industry applications. • Offers instructors a comprehensive solution manual with solution codes along with lectures in PowerPoint with animations for each chapter. The MATLAB m-files are available for download from the book's website. • Instructors have the unique flexibility to structure one-or two-semester courses that may range from gentle introductions to highly challenging, for undergraduate or graduate students.
Optimization Techniques in Power System: Review
International Journal of Engineering Applied Sciences and Technology, 2019
Power systems are very large and complex, it can be influenced by many unexpected events this makes Power system optimization problems difficult to solve, hence methods for solving these problems ought to be, an active research topic. This review presents an overview of important mathematical optimization methods those are Unconstrained optimization approaches Nonlinear programming (NLP), Linear programming (LP), Quadratic programming (QP), Generalized reduced gradient method, Newton method, Network flow programming (NFP), Mixed-integer programming (MIP), Interior point (IP) methods and Artificial intelligence (AI) techniques such as Artificial Neural Network (ANN), fuzzy logic,Genetic Algorithm (GA), Particle Swarm Optimization (PSO),Tabu Search (TS) algorithm, etc. and Hybrid artificial intelligent techniques are discussed. And also applications of optimization techniques have been discussed. Finally classification, application area, observation, conclusion, and recommendation for future research work will be forwarded.
Indonesian Journal of Electrical Engineering and Computer Science, 2022
Increasing the effects of global pollution and the availability of renewable energy sources has push many countries to use reasonable energy sources such as wind and solar energy. This paper presents a case study of evaluating a hybrid renewable energy system by using a hybrid optimization of multiple energy resources (HOMER) software program based on the entered data available from the net for the considered location. The hybrid system consisting of a wind turbine, a photovoltaic system, a battery and a diesel generator. The simulation results are presented in a graphical curves n HOMER software. The obtained results indicate that by using the HOMER simulation program, the optimal design of the hybrid electrical power system for the considered location can be achieved which can help the designer to decide the types and number of the competent required for conducting the intending hybrid electrical power system which results in optimum output power in addition to reducing the overall operating costs.
Optimization Methods Applied to Power Systems
Energies
Continuous advances in computer hardware and software are enabling researchers to address optimization solutions using computational resources, as can be seen in the large number of optimization approaches that have been applied to the energy field [...]
Smart Energy Management System: Design of a Smart Grid Test Bench for Educational Purposes
Energies
The presented article aims to design an educational test bench setup for smart grids and renewable energies with multiple features and techniques used in a microgrid. The test bench is designed for students, laboratory engineers, and researchers, which enables electrical microgrid system studies and testing of new, advanced control algorithms to optimize the energy efficiency. The idea behind this work is to design hybrid energy sources, such as wind power, solar photovoltaic power, hydroelectric power, hydrogen energy, and different types of energy storage systems such as batteries, pumped storage, and flywheel, integrating different electrical loads. The user can visualize the state of the components of each emulated scenario through an open-source software that interacts and communicates using OPC Unified Architecture protocol. The researchers can test and validate new solutions to manage the energy behavior in the grid using machine learning and optimization algorithms integrate...
Optimal sizing of hybrid renewable energy systems (HRES) to satisfy load requirements with the highest reliability and lowest cost is a crucial step in building HRESs to supply electricity to remote areas. Applying smart grid concepts such as load management can reduce the size of HRES components and reduce the cost of generated energy considerably. In this article, sizing of HRES is carried out by dividing the load into high-and lowpriority parts. The proposed system is formed by a photovoltaic array, wind turbines, batteries, fuel cells and a diesel generator as a backup energy source. A smart particle swarm optimization (PSO) algorithm using MATLAB is introduced to determine the optimal size of the HRES. The simulation was carried out with and without division of the load to compare these concepts. HOMER software was also used to simulate the proposed system without dividing the loads to verify the results obtained from the proposed PSO algorithm. The results show that the percentage of division of the load is inversely proportional to the cost of the generated energy.