Open AccessOptimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization
Author(s) -
Waleed Karrar,
Zhen Zhang,
E Fouda Mohammed,
Waleed M. Ismael,
Zhenfeng Zhu
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1346/1/012003
Subject(s) - particle swarm optimization , mathematical optimization , python (programming language) , grid , computer science , optimization algorithm , algorithm , mathematics , geometry , operating system
Due to increase, the electricity demands and the cost of energy generation to cover the living requirement of modern societies, micro-grid (MG) has been established and played an important role to solve the problems of intermittent. This study focused on implementing the analytical algorithm for calculating the difference between generated units and consumed units under the control of the State of Charge (SOC) value and applied the Particle Swarm Optimization (ANALYTIC-PSO) algorithm to optimize the value resulting from the difference between generated units and consumed units. The simulation was performed using the python environment and the PSO algorithm converges to final state approximately after the 10th iterations. The results showed that the proposed approach is efficient compared to Grey Wolf Optimization (GWO) algorithm.