Abstract
Present day civilization faces a never-ending growth for the demand of electricity. This necessitates an increase in the number of power stations and their capacities and consequent increase in the power transmission network connecting the generating station to load centers. Depending upon the load demand, the electrical generators operate under various generating conditions. The generating costs of different power plants are also different. So it is very much important to operate the power plant at optimal generation with minimum cost condition. In this paper, an attempt has been made in minimizing the cost function and the transmission line losses utilizing Modified Harmony Memory Search (MHMS), and Differential Evolution (DE) optimization techniques for a three-unit system under known maximum and minimum operating region of each generating station.
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
Fung CC, Chow SY, Wong KP (2000) Solving the economic dispatch problem with an integrated parallel genetic algorithm. 0-7803-6338-8/00/$10.00(~)2000, IEEE
Santos MRBD, Balbo AR, Gonçalves E, Soler EM, Pinheiro RBNM, Nepomuceno L, Baptista EC (2017) A proposed methodology involving progressive bounded constraints and interior-exterior methods in smoothed economic/environmental dispatch problems. IEEE Lat Am Trans 15(8)
Hui S, Suganthan PN (2015) Ensemble and arithmetic recombination-based speciation differential evolution for multimodal optimization. IEEE Trans Cybern (Online since Mar 2015). https://doi.org/10.1109/tcyb.2015.2394466
Das S, Mullick SS, Suganthan PN (2016) Recent advances in differential evolution—an updated survey. Swarm Evol Comput 27:1–30
Yoshida H, Kawata K, Fukuyama Y, Takayama S, Nakanishi Y (2000) A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Trans Power Syst 15:1232–1239
Zhao SZ, Suganthan PN (2011) Two-lbests based multi-objective particle swarm optimizer. Eng Optim 43(1):1–17
Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 78(2):60–68
Qu BY, Suganthan PN (2010) Multi-objective evolutionary algorithms based on the summation of normalized objectives and diversified selection. Inf Sci 180(17):3170–3181
Qu BY, Suganthan PN (2011) Multi-objective differential evolution based on the summation of normalized objectives and improved selection method. In: SDE-2011 IEEE symposium on differential evolution, Paris, France
Zhou A, Qu B-Y, Li H, Zhao S-Z, Suganthan PN, Zhang Q (2011) Multiobjective evolutionary algorithms: a survey of the state-of-the-art. Swarm Evol Comput 1(1):32–49
Qu BY, Suganthan PN (2009) Multi-objective evolutionary programming without non-domination sorting is up to twenty times faster. IEEE congress on evolutionary computation, pp 2934–2939, Norway
Qu BY, Suganthan PN (2011) Multi-objective differential evolution based on the summation of normalized objectives and improved selection method. SDE-2011
Zeng X, Liu Z, Hui Q (2015) IEEE energy equipartition stabilization and cascading resilience optimization for geospatially distributed cyber-physical network systems. IEEE Trans Syst Man Cybern Syst 45(1)
Subathra MSP, Easter Selvan S, Aruldoss Albert Victoire T, Hepzibah Christinal A, Amato U (2015) A hybrid with cross-entropy method and sequential quadratic programming to solve economic load dispatch problem. IEEE Syst J 9(3)
Kothari DP, Dhillon JS. Power system optimization
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mulo, T., Syam, P., Choudhury, A.B. (2020). Application of Modified Harmony Search and Differential Evolution Optimization Techniques in Economic Load Dispatch. In: Basu, T., Goswami, S., Sanyal, N. (eds) Advances in Control, Signal Processing and Energy Systems. Lecture Notes in Electrical Engineering, vol 591. Springer, Singapore. https://doi.org/10.1007/978-981-32-9346-5_16
Download citation
DOI: https://doi.org/10.1007/978-981-32-9346-5_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9345-8
Online ISBN: 978-981-32-9346-5
eBook Packages: EngineeringEngineering (R0)