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Reverse Search Strategy Based Optimization Technique to Economic Dispatch Problems with Multiple Fuels

  • Prakash ArumugamEmail author
  • Madhavan Panchapakesan
  • Sudhakar Balraj
  • Ravichandran Coimbatore Subramanian
Original Article
  • 4 Downloads

Abstract

This research article constitutes an efficient way to extract the minimum fuel cost for the economic dispatch problem considering multiple fuel options along with valve point effects. In general one convex cost function for one generator is assumed. The piecewise quadratic cost function is represented by selecting the convex cost function more than one for a generator. A new approach referred as Power Search Algorithm (PSA) based on reverse search strategy is suggested along with various constraints in ED. The proposed algorithm has been evaluated on a ten unit multi-fuel system for various power demands with different fuel input options. The outcomes acquired from the simulation are of good quality and furthermore it reveals that the proposed algorithm performs superior than the various algorithms discussed.

Keywords

Economic dispatch (ED) Multi-fuel option (MFO) Power search algorithm (PSA) Prohibited operating zones (POZ) Reverse search approach (RSA) Valve-point effects (VPE) 

List of Symbols

PD

Power demand

Pi

Power input

Pimax

Maximum power input

Pimin

Minimum power input

PL

Power loss

k

Numerical variable

Tc(min)

Minimum fuel cost

Tcn(min)

Redefined minimum fuel cost

Abbreviations

HM

Hierarchical modelling

AHNN

Adaptive Hopfield neural network

HNN

Hopfield neural network

EP

Evolutionary programming

MPSO

Modified particle swarm optimization

AIS

Artificial immune system

GA-COP

Genetic algorithm-combinatorial optimization problem

CCF

Composite cost function

IPSO

Improved particle swarm optimization

HGA

Hybrid genetic algorithm

IBT

Improved bat algorithm

SDE

Self-adaptive differential evolution

PSA-RSA

Power search algorithm-reverse search approach

Notes

Acknowledgements

The authors thank the management of Sri Krishna College of Technology and Sri Ramakrishna Engineering College, Coimbatore for providing their continuous support for completing this research work.

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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  • Prakash Arumugam
    • 1
    Email author
  • Madhavan Panchapakesan
    • 2
  • Sudhakar Balraj
    • 3
  • Ravichandran Coimbatore Subramanian
    • 4
  1. 1.Department of Electrical and Electronic EngineeringSri Krishna College of TechnologyCoimbatoreIndia
  2. 2.Department of Computer Science and EngineeringSRM UniversityChennaiIndia
  3. 3.Department of Electronics and Communication EngineeringAnnamalai UniversityChidambaramIndia
  4. 4.Department of Electrical and Electronic EngineeringSri Ramakrishna Engineering CollegeCoimbatoreIndia

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