Work

Optimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization

Year: 2019

Type: conference-paper

Abstract: 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.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/1346/1/012003

Authors: Waleed Karrar, Zhang Zhen, Ebrahim Mohammed, Waleed M Ismael, Zhu Zengwei

Institution: Hohai University

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: diamond

Funders: National Natural Science Foundation of China, Government of Jiangsu Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities