Local Search Based Krill Herd Algorithm Implementation on Non-Convex Economic Dispatch Problem

2021 ◽  
Author(s):  
Amarjeet Kaur ◽  
Lakhwinder Singh ◽  
J.S. Dhillon
Keyword(s):  
Local Search ◽  
Economic Dispatch ◽  
Krill Herd Algorithm ◽  
Krill Herd ◽  
Economic Dispatch Problem ◽  
Algorithm Implementation

A Chaotic Krill Herd Algorithm for Optimal Solution of the Economic Dispatch Problem

2017 ◽  
Vol 31 ◽  
pp. 155-168 ◽  
Author(s):  
Bachir Bentouati ◽  
Saliha Chettih ◽  
Ragab Abdel-Aziz El-Sehiemy
Keyword(s):  
Optimization Problem ◽  
Economic Dispatch ◽  
Optimal Solution ◽  
Operating Conditions ◽  
Krill Herd Algorithm ◽  
Krill Herd ◽  
Conflicting Objectives ◽  
Metaheuristic Search ◽  
Elitism Scheme ◽  
Planning And Operation

The aim of economic dispatch (ED) problem is to provide an efficient utilization of energy resources to produce economic and secure operating conditions for the planning and operation of a power system. ED is formed as a nonlinear optimization problem with conflicting objectives and subjected to both inequality and equality constraints. An efficient improvement of krill herd (KH) algorithm, a powerful metaheuristic method, has been introduced in this paper. The KH algorithm inspired by the Lagrangian and evolutionary behaviour of the krill people in nature, has been investigated to solve ED problem on 6, 13, 20 and 40 generating units. The proposed chaotic krill herd (CKH)) improvement is done by incorporating the chaos approach to KH algorithm for raising the global convergence speed and for enhancing its performance. The elitism scheme serves to save the best krill during the procedure when updating the krill. The results show clearly the superiority of CKH in searching for the best cost value results when compared with well-known metaheuristic search algorithms.

scholarly journals An Improved Differential Evolution Method Based on the Dynamic Search Strategy to Solve Dynamic Economic Dispatch Problem with Valve-Point Effects

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Guangyu Chen ◽  
Xiaoqun Ding
Keyword(s):  
Local Search ◽  
Differential Evolution ◽  
Search Strategy ◽  
Economic Dispatch ◽  
Global Search ◽  
Dynamic Search ◽  
Economic Dispatch Problem ◽  
Local Search Strategy ◽  
Dynamic Economic Dispatch ◽  
Optimization Search

An improved differential evolution (DE) method based on the dynamic search strategy (IDEBDSS) is proposed to solve dynamic economic dispatch problem with valve-point effects in this paper. The proposed method combines the DE algorithm with the dynamic search strategy, which improves the performance of the algorithm. DE is the main optimizer in the method proposed. While chaotic sequences are applied to obtain the dynamic parameter settings in DE, dynamic search strategy which consists of two steps, global search strategy and local search strategy, is used to improve algorithm efficiency. To accelerate convergence, a new infeasible solution handing method is adopted in the local search strategy; meanwhile, an orthogonal crossover (OX) operator is added to the global search strategy to enhance the optimization search ability. Finally, the feasibility and effectiveness of the proposed methods are demonstrated by three test systems, and the simulation results reveal that the IDEBDSS method can obtain better solutions with higher efficiency than the standard DE and other methods reported in the recent literature.

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