FINDING OPTIMAL LOCATION OF FACTS DEVICE(STATCOM) USING GREY WOLF OPTIMIZATION ALGORITHM
FINDING OPTIMAL LOCATION OF FACTS DEVICE(STATCOM) USING GREY WOLF OPTIMIZATION ALGORITHM
DESIGN DETAILS
With rapid increase in load demand forces power systems to operate near critical limits due to economic and environmental constraints. The objective in power systems operation is to serve energy with acceptable voltage and frequency to consumers at minimum cost. Flexible Alternating Current Transmission Systems (FACTS) devices have been proposed to be effective for controlling power flow and regulating bus voltage in electrical power systems, resulting in an increased transfer capability, low system losses, improved stability, and increased maximum loading parameters. This design is based on the loss reduction using Newton-Raphson load flow method, to increasing stability and maximum load ability of a system by considering the optimal location of STATCOM devices in power system. The main of this design is to find optimal location of by using Grey Wolf optimization Algorithm to reduce the power loss. To verify the performance, the design is applied on IEEE 14,30 and 57 bus test systems considering with STATCOM and base case i.e without STATCOM using Matlab 2020a.
REFERENCES
Reference Paper-1: Optimal location of FACTS device using Meta Heuristic Search Algorithm
Author’s Name: A. S. Siddiqui, Tanmoy Deb and Fahad Iqbal
Source: IEEE
Year:2015
Reference Paper-2: Grey Wolf Optimizer
Author’s Name: Seyedali Mirjalili , Seyed Mohammad Mirjalili and, Andrew Lewis
Source: Elsevier
Year:2014
Reference Paper-3: Power Flow Analysis of Simulink IEEE 57 Bus Test System Model using PSAT.
Author’s Name: R. Anand and V. Balaji
Source: Indian Journal of Science and Technology
Year:2015
DOWNLOAD the Matlab(P-code) encrypted code from the below URL,
https://drive.google.com/file/d/1R6kSDna01lQ_Kj__mG0u-LC7eRQxL3T_/view?usp=sharing
SIMULATION VIDEO DEMO
If you are looking for customized design development, contact us by WhatsApp @ +91 790 456 8 456 or Email us info@verilogcourseteam.com.