This project illustrates the execution of a three stage delivery static compensator DSTATCOM by using a back propagation BP control algorithm for its capacities, such as load balancing and zero voltage management of reactive power compensation under non linear loads. We use BP based control algorithm to obtain the critical dynamic weight estimate here. And the BP based control algorithm is often used for estimating the receptive power portions of the load streams necessary for estimating the reference source streams. Regulation of power efficiency devices through neural networks is the new area of study in the field of power engineering. The extraction of the harmonic components defines the output of the balancing instruments. Here we use DSTATCOM and UPFC as balancing instruments. A DSTATCOM model is developed using a computerized signal processor and its implementation is focused on various working conditions. The execution of DSTATCOM is found to be suitable for various kinds of burdens with the proposed control algorithm. The BP based control algorithm is used to derive the fundamental weighted value of the active and reactive power components of the load present. Back propagation algorithm trained by the sample will detect the power quality signal issue in real time. Continuity, differentiability, non decreasing momotomy are the key features of this algorithm. The process of UPFC is close to that of DSTATCOM, although the only difference is that it does not have the device shut down in worse circumstances. The simulation model is developed with ANFIS and its output is studied under different operating conditions. The output of ANFIS is found to be satisfactory with the proposed control algorithm for different types of loads. The suggested method shall be checked by the results of MATLAB Simulink. Rohit Mishra | Ashish Bhargava "To Study, Analysis and Implementation of Power Quality Improvement Using DSTATCOM with ANN (Back Propagation Algorithm)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47521.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/47521/to-study-analysis-and-implementation-of-power-quality-improvement-using-dstatcom-with-ann-back-propagation-algorithm/rohit-mishra
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD47521 | Volume – 5 | Issue – 6 | Sep-Oct 2021
Page 863
To Study, Analysis and Implementation of Power
Quality Improvement Using DSTATCOM with
ANN (Back Propagation Algorithm)
Rohit Mishra1, Ashish Bhargava2
1Student, 2Professor
1,2Bhabha Engineering Research Institute, Bhopal, Madhya Pradesh, India
ABSTRACT
This project illustrates the execution of a three-stage delivery static
compensator (DSTATCOM) by using a back propagation (BP)
control algorithm for its capacities, such as load balancing and zero
voltage management of reactive power compensation under non-
linear loads. We use BP-based control algorithm to obtain the critical
dynamic weight estimate here. And the BP-based control algorithm is
often used for estimating the receptive power portions of the load
streams necessary for estimating the reference source streams.
Regulation of power efficiency devices through neural networks is
the new area of study in the field of power engineering. The
extraction of the harmonic components defines the output of the
balancing instruments. Here we use DSTATCOM and UPFC as
balancing instruments. A DSTATCOM model is developed using a
computerized signal processor and its implementation is focused on
various working conditions. The execution of DSTATCOM is found
to be suitable for various kinds of burdens with the proposed control
algorithm. The BP-based control algorithm is used to derive the
fundamental weighted value of the active and reactive power
components of the load present. Back propagation algorithm trained
by the sample will detect the power quality signal issue in real-time.
Continuity, differentiability, non-decreasing momotomy are the key
features of this algorithm. The process of UPFC is close to that of
DSTATCOM, although the only difference is tha