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Use of load profiles to optimize microgrids of non-residential environments
- Three real-lab trigeneration microgrids are investigated in non-residential environments (educational, office/administrational, companies/production) with a special focus on domain-specific load characteristics. For accurate load forecasting on such a local level, à priori information on scheduled events have been combined with statistical insight from historical load data (capturing informationThree real-lab trigeneration microgrids are investigated in non-residential environments (educational, office/administrational, companies/production) with a special focus on domain-specific load characteristics. For accurate load forecasting on such a local level, à priori information on scheduled events have been combined with statistical insight from historical load data (capturing information on not explicitly-known consumer behavior). The load forecasts are then used as data input for (predictive) energy management systems that are implemented in the trigeneration microgrids. In real-world applications, these energy management systems must especially be able to carry out a number of safety and maintenance operations on components such as the battery (e.g. gassing) or CHP unit (e.g. regular test runs). Therefore, energy management systems should combine heuristics with advanced predictive optimization methods. Reducing the effort in IT infrastructure the main and safety relevant management process steps are done on site using a Smart & Local Energy Controller (SLEC) assisted by locally measured signals or operator given information as default and external inputs for any advanced optimization. Heuristic aspects for local fine adjustment of energy flows are presented.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/2715 | Bibliografische Angaben |
Title (English): | Use of load profiles to optimize microgrids of non-residential environments |
Conference: | European Photovoltaic Solar Energy Conference and Exhibition (33. : September 25-29, 2017 : Amsterdam, The Netherlands) |
Author: | Jesus Salazar da Costa FernandesStaff MemberORCiDGND, Michael SchmidtStaff MemberORCiDGND, Thomas Feldmann, Elmar BollinStaff MemberGND |
Year of Publication: | 2017 |
Creating Corporation: | WIP Munich |
Contributing Corporation: | EU PVSEC Executive Committee |
Place of publication: | München |
First Page: | 2739 |
Last Page: | 2746 |
Parent Title (English): | 33rd EU PVSEC Conference Proceedings |
ISBN: | 3-936338-47-7 |
ISSN: | 2196-100X |
DOI: | https://doi.org/10.4229/EUPVSEC20172017-6BV.3.90 |
URL: | http://www.eupvsec-proceedings.com |
Language: | English | Inhaltliche Informationen |
Institutes: | Fakultät Maschinenbau und Verfahrenstechnik (M+V) |
Institutes: | Bibliografie |
Tag: | Microgrids; Smart Grid Operation; Trigeneration | Formale Angaben |
Open Access: | Closed Access |
Licence (German): | Urheberrechtlich geschützt |