Title: Energy management of microgrid based on day-ahead and short-term optimisation

Authors: Xiaohui Wang; Yiming Zheng

Addresses: School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China ' School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

Abstract: Microgrid is an effective way to accept distributed renewable energy. However, due to the uncontrollable and intermittent nature of renewable energy, coupled with the complex operational modes of microgrid, the scheduling of microgrid is more difficult to optimise and control. So it has become a key issue to optimise the coordinated operation of distributed generation units, energy storage devices and loads in energy management of microgrid. In order to guarantee the stable operation, an optimisation scheduling strategy with multiple time scales is proposed in this paper. Based on an independent microgrid, the output power of the equipment units in the microgrid is modelled and the objective functions and constraint conditions are determined. A day-ahead and short-term optimisation scheme is carried out and the scheduling program and combination of each distributed generator are optimised by the particle swarm optimisation (PSO) algorithm. The simulation results are analysed and summarised to verify the feasibility and validity of the proposed optimisation strategy.

Keywords: microgrid; energy management; multiple time scales; particle swarm optimisation; PSO; day-ahead optimisation; short-term optimisation.

DOI: 10.1504/IJSPM.2020.110179

International Journal of Simulation and Process Modelling, 2020 Vol.15 No.4, pp.311 - 321

Received: 15 Feb 2019
Accepted: 13 Nov 2019
Published online: 08 Oct 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article