Introduction to formulating and solving optimization problems in engineering. Single- and multi-variable optimization. Decision making and mathematical problem formulation. Formulating and solving linear optimization problems. Formulating and solving integer and mixed-integer optimization problems. Uncertainty and understanding decision making under uncertainty. Formulating and solving nonlinear optimization problems. Applications of optimization in engineering problems. Solving various optimization examples using MATLAB; students will get hands-on experience on MATLAB implementation. Students will also get an idea about ANN, Fuzzy logic Systems, PSAT & its implementation using MATLAB.
1- Introduction to concepts behind Optimization- Fundamentals: Understand the basic structure and process of solving optimization problems: specifically non-linear systems effectively. Identifying the problem components, identifying different types of constraints, linear& non-linear constraints, defining bounds.
2- Use of interactive tools to define and solve optimization problems.
1- Running an optimization using Optimization Tool Box in MATLAB
2- Implement an objective function as a function file. Use function handles to specify objective functions and extra data.
3- Passing extra data to objective functions.
4- Goal attainment method, Sequential quadratic Programming.
5- Hands on experience on use of optimization tool box with examples
1- Application of Evolutionary Algorithms to different problems ELD.
2- Implementation of these algorithms using MATLAB Programming.
1- Artificial Neural network(ANN): Back propagation Algorithm, Radial Basis Algorithm.
2- Estimation of performance index and design of controllers using optimisation algorithm.
1- Introduction to Fuzzy Logic.
2- Fuzzy Inference Systems, Building Systems with Fuzzy Logic Toolbox Software.
3- Simulating Fuzzy Inference Systems Using the Fuzzy Inference Engine.
1- Load flow solution using MATPOWER- PSAT.
2- Optimisation of non-linear system using evolutionary computing.
This course will help the students carry out research/ project work in Power system, Power Electronics and also apply optimization techniques to mitigate various problems of other branches/areas as well. This course gives a comprehensive knowledge about optimization & its implementation using MATLAB. This course is helpful for students and Research Scholars.