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Improved Particle Swarm Optimization Technique for Economic Load Dispatch Problem

  • N. B. Muthu SelvanEmail author
  • V. Thiyagarajan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)

Abstract

Particle Swarm Optimization (PSO) technique tries to mimic the collective behavior of bird flocking and fish schooling. Economic load dispatch (ELD) is one of the mile stone in power system optimization problem. The main objective of the ELD is to determine the optimal power output of a number of thermal generators at the lowest possible cost to meet the short-term system demand, subjected to various transmission and operational constraints. This paper presents an overview of an stochastic PSO technique for ELD problem. The performance of the PSO technique is improved by the implementation of Gaussian and Cauchy probability distributions function. The implementation of the probability distribution function is carried out using systematic analysis of three different models of improved PSO technique. The performance of the improved PSO techniques are critically analyzed for ELD problem. The best position for the location of Gaussian and Cauchy probability distribution function is presented in this paper. The analysis reveals that the improved PSO technique is simple, reliable and suitable for real-time applications.

Keywords

Economic load dispatch Particle swarm optimization Gaussian probability distribution Cauchy probability distribution Optimization 

References

  1. 1.
    Lu, W., Liu, M., Lin, S., Li, L.: Fully decentralized optimal power flow of multi-area interconnected power systems based on distributed interior point method. IEEE Trans. Power Syst. 33(1), 901–910 (2018)CrossRefGoogle Scholar
  2. 2.
    Aganagic, M., Mokhtarj, S.: Security constraint economic dispatch using nonlinear Dantzig-Wolfe decompensation. IEEE Trans. Power Syst. 12(1), 105–112 (1997)CrossRefGoogle Scholar
  3. 3.
    Duvvuru, N., Swarup, K.S.: A hybrid interior point assisted differential evolution algorithm for economic dispatch. IEEE Trans. Power Syst. 26(2), 541–549 (2011)CrossRefGoogle Scholar
  4. 4.
    Gaing, Z.L.: Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. on Power Systems 18(3), 1187–1195 (2003)CrossRefGoogle Scholar
  5. 5.
    Prasanna, T.S., Muthu Selvan, N.B., Somasundaram, P.: Security constrained OPF by fuzzy stochastic algorithms in interconnected power systems. J. Electr. Syst. 5(1), 1–16 (2009)Google Scholar
  6. 6.
    Sasaki, Y., Yorino, N., Zoka, Y., Wahyudi, F.I.: Robust stochastic dynamic load dispatch against uncertainties. IEEE Trans. Smart Grid 9(6), 5535–5542 (2018)CrossRefGoogle Scholar
  7. 7.
    Chowdhury, B.H., Rahman, S.: A review of recent advances in economic dispatch. IEEE Trans. Power Syst. 5(4), 1248–1259 (1990)MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.SSN College of EngineeringChennaiIndia

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