Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids

Ulf Philipp Müller, Birgit Schachler, Malte Scharf, Wolf-Dieter Bunke, Stephan Günther, Julian Bartels and Guido Pleßmann
Additional contact information
Ulf Philipp Müller: Centre for Sustainable Energy Systems, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943 Flensburg, Germany
Birgit Schachler: Reiner Lemoine Institute, Rudower Chaussee 12, 12489 Berlin, Germany
Malte Scharf: Centre for Sustainable Energy Systems, Europa-Universität Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany
Wolf-Dieter Bunke: Centre for Sustainable Energy Systems, Europa-Universität Flensburg, Auf dem Campus 1, 24943 Flensburg, Germany
Stephan Günther: Institute for Intelligent Cooperative Systems, Otto-von-Guericke-University Magdeburg, Postfach 4120, 39016 Magdeburg, Germany
Julian Bartels: DLR Institute of Networked Energy Systems, Carl-von-Ossietzky-Str. 15, 26129 Oldenburg, Germany
Guido Pleßmann: Reiner Lemoine Institute, Rudower Chaussee 12, 12489 Berlin, Germany

Energies, 2019, vol. 12, issue 11, 1-30

Abstract: The energy transition towards renewable and more distributed power production triggers the need for grid and storage expansion on all voltage levels. Today’s power system planning focuses on certain voltage levels or spatial resolutions. In this work we present an open source software tool eGo which is able to optimize grid and storage expansion throughout all voltage levels in a developed top-down approach. Operation and investment costs are minimized by applying a multi-period linear optimal power flow considering the grid infrastructure of the extra-high and high-voltage (380 to 110 kV) level. Hence, the common differentiation of transmission and distribution grid is partly dissolved, integrating the high-voltage level into the optimization problem. Consecutively, optimized curtailment and storage units are allocated in the medium voltage grid in order to lower medium and low voltage grid expansion needs, that are consequently determined. Here, heuristic optimization methods using the non-linear power flow were developed. Applying the tool on future scenarios we derived cost-efficient grid and storage expansion for all voltage levels in Germany. Due to the integrated approach, storage expansion and curtailment can significantly lower grid expansion costs in medium and low voltage grids and at the same time serve the optimal functioning of the overall system. Nevertheless, the cost-reducing effect for the whole of Germany was marginal. Instead, the consideration of realistic, spatially differentiated time series led to substantial overall savings.

Keywords: power grid modelling; transmission grid planning; distribution grid planning; optimization; linear optimal power flow; power flow; grid expansion; storage expansion; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

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