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Demand and efficiency of congestion management methods on the distribution grid level

Liere-Netheler, Ingo (2022) Demand and efficiency of congestion management methods on the distribution grid level. Dissertation, Carl von Ossietzky Universität Oldenburg.

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Abstract

An entirely renewable energy system requires significant adaptions of existing electrical networks. Apart from conventional grid reinforcement and expansion, an efficient utilisation of existing grid capacities during operation is becoming more important. Grid operators use congestion management in order to ensure a secure supply of all network participants. In Germany, the curtailment of renewable energy generation units is increasingly being used for this purpose. This is critical with regards to the ambitious national climate targets. The present work thus analyses different approaches for reducing renewable energy curtailment, taking relevant grid security criteria into account. A method for simulating operational congestion management has been developed and applied to synthetic power systems as well as a real distribution grid region in Germany. Different approaches for the reduction of renewable energy curtailment are evaluated. Especially the utilisation of formerly unused grid capacities by using curative actions proves to be an efficient approach for minimising curtailment.

Item URL in elib:https://elib.dlr.de/192711/
Document Type:Thesis (Dissertation)
Title:Demand and efficiency of congestion management methods on the distribution grid level
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Liere-Netheler, IngoUNSPECIFIEDhttps://orcid.org/0000-0001-8187-6861UNSPECIFIED
Date:February 2022
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:145
Status:Published
Keywords:congestion management; distribution grid; power flow analysis; curtailment; sensitivities of network power flows; optimisation; renewable energy generation; economic Analysis; energy storage systems; security constraint optimal power flow
Institution:Carl von Ossietzky Universität Oldenburg
Department:Fakultät für Mathematik und Naturwissenschaften
HGF - Research field:Energy
HGF - Program:Energy System Design
HGF - Program Themes:Digitalization and System Technology
DLR - Research area:Energy
DLR - Program:E SY - Energy System Technology and Analysis
DLR - Research theme (Project):E - Energy System Technology
Location: Oldenburg
Institutes and Institutions:Institute of Networked Energy Systems > Energy System Technology
Deposited By: Memmel, Elena
Deposited On:20 Dec 2022 13:53
Last Modified:20 Dec 2022 13:53

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