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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.show moreshow less

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Metadaten
Author:Jesus Salazar da Costa FernandesGND, Michael Schmidt, Thomas Feldmann, Elmar BollinGND
Creating Corporation:WIP Munich
Contributing Corporation:EU PVSEC Executive Committee
Place of publication:München
Year of Publication:2017
Pagenumber:8
ISBN:3-936338-47-7
Language:English
Tag:Microgrids; Smart Grid Operation; Trigeneration
Parent Title (English):33rd EU PVSEC Conference Proceedings
ISSN:2196-100X
First Page:2739
Last Page:2746
Document Type:Conference Proceeding
Institutes:Hochschule Offenburg / Bibliografie
Acces Right:Zugriffsbeschränkt
Release Date:2018/01/24
Licence (German):License LogoVeröffentlichungsvertrag für Publikationen mit Print on Demand
Licence (German):License LogoEs gilt das UrhG
URL:http://www.eupvsec-proceedings.com
DOI:https://doi.org/10.4229/EUPVSEC20172017-6BV.3.90