A magnetically coupled multi-port, multi-operation-mode micro-grid with a predictive dynamic programming-based energy management for residential applications. (January 2019)

• Record Type: Journal Article
• Authors: Jafari, Mohammad; Malekjamshidi, Zahra; Zhu, Jianguo
• Is Part Of: International journal of electrical power & energy systems. Volume 104(2019)
• Page Start: 784
• Page End: 796
• Publication Date: 2019-01
• Subjects: Dc-dc converter -- Energy management -- Micro-grid -- Optimisation -- Residential; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2018.07.040
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Proposing an interesting magnetically coupled residential micro-grid topology. Multiple grid-connected and off-grid operation modes. Proposing an optimized energy management technique based on 2D dynamic programming. Using synchronized bus voltage balance technique improved the MPPT performance. Defining an appropriate strategy for smooth mode transition in micro-grid. Abstract: This paper presents the development of a residential micro-grid topology based on a combination of common magnetic and electrical buses. The magnetic bus interfaces two low voltage dc buses linking a PV and a fuel cell to a high voltage dc bus connected to a grid-tied single-phase bidirectional inverter. A battery is used to store the surplus energy of the system and stabilise the dc voltage of the fuel cell bus. A synchronised bus voltage balance (SBVB) technique is used to reduce the conduction losses and increase the soft switching operation range of the converters. To improve the maximum power point tracking (MPPT) performance and system efficiency, appropriate control techniques and compensation blocks are designed. The proposed micro-grid is able to operate in multiple grid-connected and off-grid operation modes according to a predictive 2D dynamic programming-based energy management. A mode selection and transition strategy is developed to select the appropriate operation mode and smooth the mode transition. A detailed study of the micro-grid including steady-state operation, small signal modelling, controller design, and energy management is presented. A prototype of the system is developed, and experimental tests are conducted for an energy management scenario.