TITLE:
Efficient Dynamic Economic Load Dispatch Using Parallel Process of Enhanced Optimization Approach
AUTHORS:
S. Hemavathi, N. Devarajan
KEYWORDS:
Differential Evolution, PSO, Hybrid, Load Dispatch, Sigmoid Weight, Optimal Solution
JOURNAL NAME:
Circuits and Systems,
Vol.7 No.10,
August
25,
2016
ABSTRACT: In Dynamic Economic Load
Dispatch (DELD), optimization and evolution computation become a major part
with the strategy for solving the issues. From various algorithms Differential
Evolution (DE) and Particle Swarm Optimization (PSO) algorithms are used to
encode in a vector form and in sharing information and both approaches are
based on the master-apprentice mechanism for the Dual Evolution Strategy. In
order to overcome the challenges like the clustering of PSO, optimization
problems and maximum and minimum searching, a new approach is developed with
the improvement of searching and efficient process. In this paper, an Enhanced
Hybrid Differential Evolution and Particle Swarm Optimization (EHDE-PSO) is
proposed with Dynamic Sigmoid Weight using parallel procedures. A hybrid form
of the proposed approach combines the optimizing algorithm of Enhanced PSO with
the Differential Evolution (DE) for the improvement of computation using
parallel process. The implementation and the parallel process are analyzed and
discussed to gather relevant data to show the performance enhancement which is
better than the existing algorithm.