A Bacterial Foraging Optimization Technique and Predictive Control Approach for Power Management in a Standalone Microgrid

Autor:	F. Dubuisson, Hussein Ibrahim, Ambrish Chandra, Miloud Rezkallah
Rok vydání:	2020
Předmět:	Power management Model predictive control Computer science Control theory Particle swarm optimization Inverter Microgrid AC power MATLAB computer computer.programming_language Power (physics)
Zdroj:	2020 IEEE Electric Power and Energy Conference (EPEC).
DOI:	10.1109/epec48502.2020.9320038
Popis:	In this paper, the Bacterial Foraging Optimization (BFO) algorithm is proposed for real-time calculation of active and reactive power references estimation. This method emulates the behavior of E.coli bacteria to find the global minimum of a cost function. Using this technique, one estimates the power references of the system to use as input parameters for the developed predictive control strategy for the three-phase inverter. The comportment of the BFO and the predictive control, are tested using Matlab/Simulink under load variation. In addition, a detailed comparison between the BFO method and Particle Swarm Optimization (PSO) is provided.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5611c2be2c8e4493821ebdf9579b5f25 https://doi.org/10.1109/epec48502.2020.9320038 Zobrazit plný text záznamu