Time Series Based Power System Planning Including Storage Systems and Curtailment Strategies

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Paper number
955
Working Group Number
Conference name
CIRED 2019
Conference date
3-6 June 2019
Conference location
Madrid, Spain
Peer-reviewed
Yes
Short title
Convener
Authors
Schäfer , Florian, University of Kassel , Germany
Menke, Jan-Hendrik, University of Kassel , Germany
Marten, Frank, Fraunhofer IEE, Germany
Braun, Martin, Fraunhofer / Universistät Kassel, Germany
Abstract
Compared to the analysis of few loading situations, time series based power system planning methods allow to integrate control strategies of generators and storage systems into grid expansion planning. A novel framework is introduced in this paper, which is able to consider operational options such as the curtailment of distributed generators as well as storage systems in the expansion planning of distribution grids. The framework combines time series simulations and reinforcement heuristics to evaluate expansion planning costs, line loadings, voltages, energy and losses. To reduce computational effort and integrate the single contingency policy into the framework, artificial neural networks are employed.
Table of content
Keywords
Publisher
AIM
Date
2019-06-03
Permanent link to this record
https://cired-repository.org/handle/20.500.12455/216
http://dx.doi.org/10.34890/425
ISSN
2032-9644
ISBN
978-2-9602415-0-1