RT Journal Article
A1 C. Chen
A1 S. Duan
A1 T. Cai
A1 B. Liu
A1 G. Hu

PB iet
T1 Smart energy management system for optimal microgrid economic operation
JN IET Renewable Power Generation
VO 5
IS 3
SP 258
OP 267
AB This study presents a smart energy management system (SEMS) to optimise the operation of the microgrid. The SEMS consists of power forecasting module, energy storage system (ESS) management module and optimisation module. The characteristic of the photovoltaics (PV) output in different weather conditions has been studied and then a 1-day-ahead power forecasting module is presented. As energy storage needs to be optimised across multiple-time steps, considering the influence of energy price structures, their economics are particularly complex. Therefore the ESS module is applied to determine the optimal operation strategies. Accordingly, multiple-time set points of the storage device, and economic performance of ESS are also evaluated. Smart management of ESS, economic load dispatch and operation optimisation of distributed generation (DG) are simplified into a single-object optimisation problem in the SEMS. Finally, a matrix real-coded genetic algorithm (MRC-GA) optimisation module is described to achieve a practical method for load management, including three different operation policies and produces diagrams of the distributed generators and ESS.
K1 distributed generation
K1 single-object optimisation problem
K1 photovoltaics output
K1 smart energy management system
K1 matrix real-coded genetic algorithm optimisation module
K1 energy storage system management module
K1 power forecasting module
K1 optimal microgrid economic operation
K1 SEMS
DO https://doi.org/10.1049/iet-rpg.2010.0052
UL https://digital-library.theiet.org/;jsessionid=2p1pgtb0xxd67.x-iet-live-01content/journals/10.1049/iet-rpg.2010.0052
LA English
SN 1752-1416
YR 2011
OL EN