Abstract
A hybrid optimization technique is used to improve the stability and voltage profile in multi-machine systems. The hybrid biogeography-based optimization (BBO)-differential evolutionary (DE) algorithm application is to reduce the system loss and the voltage profile and stability increases when the devices are tuned by hybrid BBO-DE technique. It works using the eigen value based objective function to tune the parameters of the static var compensator (SVC) and power system stabilizer (PSS). In this research paper, eigen value grounded objective function is practiced to gain stability. Many optimization techniques are used to attain a solution to tune the parameters or to place the device in a better location. Here, a hybrid optimization technique is used to tune the parameters of the SVC and PSS after clearing three-phase fault.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang X, Kang Q, Cheng J, Wang X (2018) A novel hybrid algorithm based on biogeography-based optimization and grey wolf optimizer. Appl Soft Comput 67:197–214
Guesmi T (2018) Improvement of power system stability using BBO algorithm. Int J Eng Res Technol 7(2):134–139
Jadon SS, Tiwari R, Sharma H, Bansal JC (2017) Hybrid artificial bee colony algorithm with differential evolution. Appl Soft Comput 58:11–24
Adachi T, Yokoyama A (2016) Improvement of small signal stability of power system by controlling doubly fed induction generators of a large-capacity wind farm. J Int Council Electr Eng 6(1)–117–125
Sun H, Zhou F, Wang Y (2016) Simulation and Control Strategy of a 5.6 kV 17-level STATCOM Under SVG Condition. J Control Measure Electron Comput Commun 57(4):893–901
Rout UK, Sahu RK, Panda S (2013) Design and analysis of differential evolution algorithm based automatic generation control for interconnected power system. Ain Shams Eng J 4(3):409–421
Mirjalili S, Mirjalili SM, Hatamlou A (2016) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27(2):495–513
Samrajyam K, Prakash RBR (2012) Optimal location of STATCOM for reducing voltage fluctuations. Int J Modern Eng Res (IJMER), 2(3):834–839
Abd-Elazim SM, Ali ES (2016) Optimal location of STATCOM in multimachine power system for increasing loadability by Cuckoo Search algorithm. Int J Electri Power Energy Syst 80:240–251
Hemmati R, Boroujeni SMS, Behzadipour E, Delafkar H (2011) Power system dynamic stability enhancement using a new PID type PSS. Australian J Basic Appl Sci 5(5):721–727
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dhal, P.K. (2021). A Hybrid: Biogeography-Based Optimization-Differential Evolution Algorithm Based Transient Stability Analysis. In: Panigrahi, C.R., Pati, B., Mohapatra, P., Buyya, R., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 1198. Springer, Singapore. https://doi.org/10.1007/978-981-15-6584-7_17
Download citation
DOI: https://doi.org/10.1007/978-981-15-6584-7_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6583-0
Online ISBN: 978-981-15-6584-7
eBook Packages: EngineeringEngineering (R0)