Energy Routing Control Strategy for Integrated Microgrids Including Photovoltaic, Battery-Energy Storage and Electric Vehicles

Yingpei Liu, Yan Li, Haiping Liang, Jia He and Hanyang Cui
Additional contact information
Yingpei Liu: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Yan Li: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Haiping Liang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jia He: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Hanyang Cui: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China

Energies, 2019, vol. 12, issue 2, 1-16

Abstract: The Energy Internet is an inevitable trend of the development of electric power system in the future. With the development of microgrids and distributed generation (DG), the structure and operation mode of power systems are gradually changing. Energy routers are considered as key technology equipment for the development of the Energy Internet. This paper mainly studies the control of the LAN-level energy router, and discusses the structure and components of the energy router. For better control of the power transmission of an energy router, the energy routing control strategy for an integrated microgrid, including photovoltaic (PV) energy, battery-energy storage and electric vehicles (EVs) is studied. The front stage DC/DC converter of the PV system uses maximum power point tracking (MPPT) control. The constant current control is used by the bidirectional DC/DC converter of the battery-energy storage system and the EV system when they discharge. The DC/AC inverters adopt constant reactive power and constant DC voltage control. Constant current constant voltage control is adopted when an EV is charged. The control strategy model is simulated by Simulink, and the simulation results verify the feasibility and effectiveness of the proposed control strategy. The DG could generate reactive power according to the system instructions and ensure the stable output of the DC voltage of the energy router.

Keywords: Energy Internet; energy router; microgrid; electric vehicle; PV; battery-energy storage (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/2/302/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/2/302/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:2:p:302-:d:198982

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().