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