Energy management strategy for microgrids considering photovoltaic-energy storage system and electric vehicles

Author

Wei Wang ; Xiaochao Jiang ; Su Su ; Jun Kong ; Jing Geng ; Wei Cui

Author_Institution

Nat. Active Distrib. Network Technol. Res. Center, Beijing Jiaotong Univ., Beijing, China

fYear

2014

fDate

Aug. 31 2014-Sept. 3 2014

Firstpage

1

Lastpage

6

Abstract

Aiming at the energy management of grid-connected mode microgrids considering electric vehicles (EVs) and photovoltaic (PV)-energy storage, an energy management strategy was proposed. An energy management model was built to reduce the operating costs; the modified Particle Swarm Optimization (MPSO) based on Genetic Algorithm was used to solve it. And for this study, the energy characteristics and method of power calculation of EVs were researched. Finally, the simulations of an example showed that the proposed energy management strategy not only reduced the operating costs but also help to improve the operation situation of microgrid.

Keywords

distributed power generation; electric vehicles; energy management systems; energy storage; genetic algorithms; particle swarm optimisation; photovoltaic power systems; MPSO; PV-energy storage; electric vehicles; energy characteristics; energy management strategy; genetic algorithm; grid-connected mode microgrids; modified particle swarm optimization; operating cost reduction; photovoltaic-energy storage system; power calculation; Batteries; Energy management; Microgrids; Optimization; Partial discharges; System-on-chip; EVs; MPSO; energy management strategy; microgrid;

fLanguage

English

Publisher

ieee

Conference_Titel

Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo

Conference_Location

Beijing

Print_ISBN

978-1-4799-4240-4

Type

conf

DOI

10.1109/ITEC-AP.2014.6941241

Filename

6941241