scholarly journals A memory-based gravitational search algorithm for solving economic dispatch problem in micro-grid

2021 ◽  
Author(s):  
Zahraoui Younes ◽  
Ibrahim Alhamrouni ◽  
S. Mekhilef ◽  
M. Reyasudin
Keyword(s):  
Search Algorithm ◽  
Economic Dispatch ◽  
Gravitational Search Algorithm ◽  
Micro Grid ◽  
Gravitational Search ◽  
Economic Dispatch Problem

Operation management of daily economic dispatch using novel hybrid particle swarm optimization and gravitational search algorithm with hybrid mutation strategy

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740099 ◽  
Author(s):  
Yan Wang ◽  
Song Huang ◽  
Zhicheng Ji
Keyword(s):  
Particle Swarm Optimization ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Gravitational Search Algorithm ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Hybrid Particle ◽  
Hybrid Particle Swarm Optimization ◽  
Mutation Strategy ◽  
Gravitational Search

This paper presents a hybrid particle swarm optimization and gravitational search algorithm based on hybrid mutation strategy (HGSAPSO-M) to optimize economic dispatch (ED) including distributed generations (DGs) considering market-based energy pricing. A daily ED model was formulated and a hybrid mutation strategy was adopted in HGSAPSO-M. The hybrid mutation strategy includes two mutation operators, chaotic mutation, Gaussian mutation. The proposed algorithm was tested on IEEE-33 bus and results show that the approach is effective for this problem.

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