Extended Kalman Filter implementation for dynamic state estimation in smart grid

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شرح پروژه

I'm working on this paper in the attachment. I used the PSTV3 MatLab toolbox to get the measurement vector and the measurement covariance matrix that will be used in the update stage of EKF. I need to implement EKF using Matlab and an online normalized Rao-CUSUM detector.

the tasks that need to be finished is as follow:

1- Using PSTV3 toolbox that I have sent to simulate single line diagram, two area system (all steps is covered in pst manual), also system model mentioned in the attached paper
2- these measurements of the first task will be used latter in implementing EKF according to the equations mentioned in the attached paper to perform dynamic state estimation
3- Results of the dynamic state estimation will be used in the detection and identification of FDIA according to the equations in the paper starting from Formulation of the Hypothesis Test until Proposed False Data Detector(online normalized Rao-CUSUM detector).
4- Obtain the optimum detection threshold by using offline Monte-Carlo simulations that will be used in online normalized Rao-CUSUM detector and analysis of system performance compared to Rao-CUSUM test.
5- All figures in the attached paper must be simulated and delivered with the submission of the project

two weeks deadline

We will divide it into stages
First stage EKF implement for 2 days

The whole project 2 weeks

دقت داشته باشید این کار دو مرحله است. در مرحله اول فیلتر کالمن را اجرا می کنید دو روزه

در مرحله دوم تقریبا 12 روز وقت دارید تا بقیه کار را تکمیل کنید.

این پروژه شامل 3 فایل مهم است، لطفا قبل از ارسال پیشنهاد حتما نسبت به بررسی این فایل اقدام فرمایید.

مهارت ها و تخصص های مورد نیاز

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