6533b831fe1ef96bd12986c1
RESEARCH PRODUCT
Online optimization of a multi-conversion-level DC home microgrid for system efficiency enhancement
Valeria BoscainoE. Riva SanseverinoIrina CiorneiGaetano ZizzoLexuan MengJosep M. Guerrerosubject
Engineering020209 energyGeography Planning and DevelopmentTransportation02 engineering and technologyPower conversion efficiencyRobustness (computer science)Control theoryMaster-slave control0202 electrical engineering electronic engineering information engineeringElectronic engineeringPeak shavingDC microgridOnline algorithmMATLABDC microgridscomputer.programming_languageCivil and Structural Engineeringbusiness.industryRenewable Energy Sustainability and the Environmentdc microgrids active droop control current sharing genetic algorithm master-slave control power conversion efficiency peak shavingEnergy conversion efficiencyConvertersSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaActive droop controlGenetic algorithmPeaking power plantMicrogridbusinessCurrent sharingcomputerVoltagedescription
In this paper, an on-line management system for the optimal efficiency operation of a multi-bus DC home distribution system is proposed. The operation of the system is discussed with reference to a distribution system with two conversion stages and three voltage levels. In each of the conversion stages, three paralleled DC/DC converters are implemented. A Genetic Algorithm performs the on-line optimization of the DC network’s global efficiency, generating the optimal current sharing ratios of the concurrent power converters. The overall DC/DC conversion system including the optimization section is modelled using MATLAB/Simulink. Thanks to the implemented online algorithm, considering the system modelling as dynamic master/slave configuration, reliability, robustness and flexibility of the whole conversion system is enhanced. Since an online algorithm is implemented, several variables are accounted for, such as: components loss parameters, components ageing, load currents, switching frequency and input voltage. Simulation results considering several case studies are presented and the benefits brought by the optimization algorithm in terms of power saving are widely discussed for each case study.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2017-11-01 | Sustainable Cities and Society |