A comparative study of economic load dispatch with complex non-linear constraints using salp swarm algorithm

Document Type : Article

Authors

Institute of Technology, Electrical Engineering Department, Nirma University, Ahmedabad, Gujarat, India

Abstract

Economic Load Dispatch (ELD) is an important part of cost minimization procedure in power system operation. Different derivative and probabilistic methods are used to solve ELD problems. This paper proposes a powerful Salp Swarm Algorithm (SSA) to explain the ELD issue including equality and inequality restrictions. The main aim of ELD is to satisfy the entire electric load at minimum cost. The SSA is a population based probabilistic method which guides its search agents that are randomly placed in the search space, towards an optimal point using their fitness function and also keeps a track of the best solution achieved by each search agent. SSA is being used to solve the ELD problem with their high exploration and local optima escaping technique. This algorithm confirms that the promising areas of the search space are exploited to have a smooth transition from exploration to exploitation using the movement of Salps in the sea. Simulation results prove that the proposed algorithm surpasses other existing optimization techniques in terms quality of solution obtained and computational efficiency. The final results also prove the robustness of the SSA.

Keywords

References

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Scientia Iranica
Volume 29, Issue 2
Transactions on Computer Science & Engineering and Electrical Engineering (D)
March and April 2022
Pages 676-692

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History

  • Receive Date: 02 November 2018
  • Revise Date: 14 September 2019
  • Accept Date: 11 May 2020

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