Thursday, June 28, 2018

Save Power and Save Earth

Pollution has been increased drastically and has negative effects on human health. The entire human life on earth is on danger. The below cartoon in eenadu news paper depicts the same

One of the key reasons of increased pollution is thermal power plants where coal is burnt for generating electricity.




It is observed that the overall efficiency of the power system is 17% when measured w.r.t coal input. Therefore If I save one unit of electrical energy, then indirectly I save 6 to 7 units of coal and thus reduce Pollution. So finally I say "SAVE POWER & SAVE EARTH"
 

Wednesday, June 27, 2018

Nonlinear Model Predictive Control & MATLAB code

Model Predictive Control (MPC) is one of the recent control technique developed by control engineers and is gaining popularity in the last decade. The applications of  MPC are not just limited to Process industries, Aerospace, Power system, Drives, Renewable Energy systems etc.
For Understanding this control one can refer [1] and the corresponding MATLAB code are available at the below link:
http://extras.springer.com/2007/978-0-85729-398-5

The nonlinear version of MPC is called Nonlinear Predictive control
For understanding Nonlinear Predictive Control refer [2] and the MATLAB codes are available at the below link
http://extras.springer.com/2017/978-3-319-46023-9/matlab


References:
[1]  Camacho, Eduardo F., and Carlos Bordons Alba, "Model predictive control. Springer Science & Business Media", springer, 2013.
[2] Grüne, Lars, Pannek, Jürgen, "Nonlinear Model Predictive Control : Theory and Algorithms", springer, 2017.

Monday, June 25, 2018

MATLAB code for Kalman Filter, H-infinity filter, Particle filter, UKF filter

Are you learning Kalman filter, H-infinity filter and other advanced filters?

Then you can refer this book Optimal State Estimation: Kalman, H-infinity, and Nonlinear Approaches" by Dan Simon.

The MATLAB codes for this book are avilablein the website given below

http://academic.csuohio.edu/simond/estimation/ 

MATLAB Code for Optimization algorithms

Are you working in application of optimization in Electrical Engineering Problems?

Are you struggling in writing the MATLAB code?

Find the links below for different Optimization algorithms

For algorithms like Grey wolf optimization, Antlion optimization, Grasshopper optimization etc

For Different versions of Differential algorithm, Particle swarm optimization etc

For Biogeography-Based Optimization 

For other algorithms

Saturday, June 23, 2018

Run Code in IEEExplore

IEEE provides a source to host your code for the research papers published by IEEE. You can run MATLAB or Python or JAVA or C/C++ or R code directly in the IEEExplore website itself.


Click on the Code & Datasets


SIGN UP for CODEOCEAN account
Then click RUN



Friday, June 22, 2018

68-bus benchmark Power System Model MATLAB/Simulink files

This is one of the most popular benchmark model with 16 machines, 68-bus, and 5-areas. This model represents interconnected New England test system  and New York power system. The detailed report of the this benchmark model is given in [1]. This benchmark model is very useful for researchers who are working in the area of control and state estimation of power systems. Thanks to Prof. Bikash C. Pal and his team.
For downloading the files click the link provided
http://www.sel.eesc.usp.br/ieee/

Reference:
[1] Singh, A.K., Pal, B.C.: ‘IEEE PES task force on benchmark systems for stability controls report on the 68-bus, 16-machine, 5-area system’ (Imperial College London, London, UK, 2013).

Prof K Nageshwar talk on JIO Institute