Abstract
In this paper, the multi objective optimization of minimization of real power transmission line loss and voltage deviation at the buses is achieved with the application of Firefly Algorithm (FA), which is a Meta heuristic algorithm. Through this nature inspired algorithm, the control parameters such as voltages at the generator buses, tap settings of transformers and the rating of reactive power compensation devices are controlled. Because of the intrinsic properties of FA, the output is said to be effective than other optimization techniques present. The proposed FA for the multi objective optimization is implemented on the IEEE 30 bus system.
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
Das T, Roy R (2018) Optimal reactive power dispatch using JAYA algorithm. Emerg Trends Electron Devices Comput Tech (EDCT) 1–6
Anbarasan P, Jaya bharathi T. (2017) ORPD solved by symbiotic organisam search algorithm. In: International conferences on innovations in power and advanced computing technologies, pp 1–8
Pandya S, Roy R (2015) Particle swarm optimisation based optimal reactive power dispatch. In: IEEE international conference on electrical, computer and communication technologies (ICECCT), pp 1–5
Mei RNS, Sulaiman MH, Mustaffa Z, Daniyal H (2017) Optimal reactive power dispatch by loss minimization using moth-flame optimization technique. Appl Soft Comput 59:210–222
Shaw B, Ghoshal SP, Mukherjee V (2014) Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm. Int J Electr Power Energy Syst 55:29–40
Sinsuphan N, Leeton U, Kulworawninchpong T (2013) Optimal power flow solution using improved harmony search method. Appl Soft Comput 13:2364–2374
Valipour K, Ghashemi A (2017) Using a new modified harmony search algorithm to solve multi objective reactive power dispatch in deterministic and stochastic models. J. AI Data Mining 5:89–100
Lenin K (2018) Reduction of real power loss by upgraded red shaver swarm optimization algorithm. Adv Model Anal C 73:84–87
Yang XS (2013) Firefly algorithm recent advances and applications. Int J Swarm Intell 1:36–50
Gundavarapu V, Bathina V (2015) Thyristor controlled series capacitor for generation reallocation using firefly algorithm to avoid voltage instability. Majlesi J Electr Eng 9:1–9
Venkateswara RB, Kumar GN (2015) A comparative study of BAT and firefly algorithms for optimal placement and sizing of static VAR compensator for enhancement of voltage stability. Int J Energy Optim Eng 4:68–84
Suresh R, Bhaskaran J (2016) Firefly algorithm applied for optimal reactive power dispatch. Int J Adv Eng Technol 7:19–23
Subbaraj P, Narayana P (2009) Optimal reactive power dispatch using self-adaptive real coded genetic algorithm. Electric Power System Research 79:374–381
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
Chaitanya, S.N.V.S.K., Ashok Bakkiyaraj, R., Venkateswara Rao, B. (2021). Optimal Reactive Power Dispatch of Interconnected Power System Using Firefly Algorithm. In: Komanapalli, V.L.N., Sivakumaran, N., Hampannavar, S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. i-CASIC 2020. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_22
Download citation
DOI: https://doi.org/10.1007/978-981-15-8221-9_22
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-8220-2
Online ISBN: 978-981-15-8221-9
eBook Packages: EngineeringEngineering (R0)