• search hit 4 of 7
Back to Result List

Optimal microgrid scheduling with peak load reduction involving an electrolyzer and flexible loads

  • This work consists of a multi-objective mixed-integer linear programming model for defining optimized schedules of components in a grid-connected microgrid. The microgrid includes a hydrogen energy system consisting of an alkaline electrolyzer, hydrogen cylinder bundles and a fuel cell for energy storage. Local generation is provided from photovoltaic panels, and the load is given by a fixed loadThis work consists of a multi-objective mixed-integer linear programming model for defining optimized schedules of components in a grid-connected microgrid. The microgrid includes a hydrogen energy system consisting of an alkaline electrolyzer, hydrogen cylinder bundles and a fuel cell for energy storage. Local generation is provided from photovoltaic panels, and the load is given by a fixed load profile combined with a flexible electrical load, which is a battery electric vehicle. The electrolyzer has ramp-up constraints which are modeled explicitly. The objective function includes, besides operational costs and an environmental indicator, a representation of peak power costs, thus leading to an overall peak load reduction under optimized operation. The model is used both for controlling a microgrid in a field trial set-up deployed in South-West Germany and for simulating the microgrid operation for defined period, thus allowing for economic system evaluation. Results from defined sample runs show that the energy storage is primarily used for trimming the peak of electricity drawn from the public grid and is not solely operated with excess power. The flexible demand operation also helps keeping the peak at its possible minimum.show moreshow less

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Lucas Bolivar Jaramillo, Anke Weidlich
Year of Publication:2016
Date of first Publication:2016/05/01
Language:English
GND Keyword:Ablaufplanung; Energieversorgung; Intelligentes Stromnetz
Parent Title (English):Applied Energy
Volume:169
First Page:857
Last Page:865
Document Type:Article (reviewed)
Institutes:Hochschule Offenburg / Bibliografie
Release Date:2017/10/24
Licence (German):License LogoEs gilt das UrhG
DOI:https://doi.org/10.1016/j.apenergy.2016.02.096