Optimal Control of Distributed Energy Generation & Storages for Flexibility Provision on the Residential Level
Konferenz: Internationaler ETG-Kongress 2019 - ETG-Fachtagung
08.05.2019 - 09.05.2019 in Esslingen am Neckar, Deutschland
Tagungsband: ETG-Fb. 158: Internationaler ETG-Kongress 2019
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Selinger-Lutz, Oliver; Wille-Haussmann, Bernhard (Fraunhofer ISE, Heidenhofstr. 2, 79106 Freiburg, Germany)
Swallowell, Brady (Fraunhofer ISE, Heidenhofstr. 2, 79106 Freiburg, Germany & Albert-Ludwigs Universität Freiburg, Tennenbacher Str. 4, 79106 Freiburg, Germany)
Increased adoption of decentralized, variable renewable energy generators will require improved and updated methods for managing the increasingly complex energy balancing procedures in future networks. One way to aid in accomplishing this is by exploiting demand side management opportunities available from operating flexibilities and storages available in certain systems. Although already a common practice in industrial applications, it is still to date lacking in any large scale residential applications and micro-grids. This research aims to quantify and visualize the maximum potential deviations in grid experienced power flows, referred to as flexibility corridors found in residential systems which could be accessible for use by grid services. To achieve this, a model is developed through sets of mixed integer linear programming formulations, representing a residential PV-CHP system with thermal and electric storages. An energy management system is operated using a rolling horizon optimization approach. Flexibilities are then evaluated based on the predicted state of certain critical components in the system and correlated to observed weather conditions. The system is then re-simulated reflecting scenarios in which grid operators signal systems to exploit the entirety of both positive and negative flexibility options. Reactions to the system after such events are then analysed and cost modifications in the altered system operations are determined.