A novel energy scheduling framework for reliable and economic operation of islanded and grid-connected microgrids

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2019-06-01
Major/Subject
Mcode
Degree programme
Language
en
Pages
12
85-96
Series
Electric Power Systems Research, Volume 171
Abstract
This paper proposes a novel energy management framework by combining proactive and reactive approaches to efficiently address the uncertainties associated with generation and demand in islanded and interconnected operation of residential microgrid (MG). The MG considers renewable energy sources (RESs), a diesel generator (DG), and a storage device with the possibility of power exchanges with the grid. The proposed formulation is cast as stochastic mixed-integer linear programming (MILP) model with 24-hour rolling horizon, simulated periodically by updating input data and advancing on an hourly basis for a one year scheduling period. The objective is to minimize the total MG cost while preserving comfort priorities of individual households. The energy balance is potentiated by smart central management system of heating, ventilation and air-conditioning and electric water heater loads in conjunction with exploiting the building thermal inertia of well-insulated buildings. Random outages of MG components are modeled via a two-state Markov chain process, which is considered in the reactive approach. Extensive numerical results are presented to reveal the benefits obtained by coordinating the demand response and supply sources for a practical case of Helsinki, Finland. Finally, the impact of various system parameters on the optimal expected MG cost and risk indices is investigated.
Description
Keywords
Markov chain, Mixed-integer, Stochastic, Uncertainty
Other note
Citation
Bashir, A A, Pourakbari-Kasmaei, M, Contreras, J & Lehtonen, M 2019, ' A novel energy scheduling framework for reliable and economic operation of islanded and grid-connected microgrids ', Electric Power Systems Research, vol. 171, pp. 85-96 . https://doi.org/10.1016/j.epsr.2019.02.010