h1

TY  - THES
AU  - Pacheco, David
TI  - Sensitivity and cost-benefit analysis of state-estimation based voltage control for distribution systems
PB  - Rheinisch-Westfälische Technische Hochschule Aachen
VL  - Masterarbeit
CY  - Aachen
M1  - RWTH-2024-08145
SP  - 1 Online-Ressource: Illustrationen
PY  - 2023
N1  - Veröffentlicht auf dem Publikationsserver der RWTH Aachen University 2024
N1  - Masterarbeit, Rheinisch-Westfälische Technische Hochschule Aachen, 2023
AB  - With the high penetration of distributed energy resources (DERs) in distribution systems, many challenges arise in grid operation, particularly for voltage control. State-estimation (SE) based voltage control for distribution systems makes use of voltage estimates to calculate how much flexible power would be required to keep the voltages within desired limits. The effectiveness of this method depends on the accuracy of the SE, which is subject to different sources of uncertainty. The installation of additional meters in the grid can help to increase the overall accuracy, but the associated costs of the meters need to be considered before deciding on their installation. To account for economic considerations in the process of improving SE, this thesis elaborates a two-module framework to perform a sensitivity and cost-benefit analysis (CBA) of the SE-based voltage control. First, a Global Sensitivity Analysis (GSA) based meter placement methodology is proposed, which produces a top-down priority list of meters to be installed to help improve the accuracy of the SE, and different ranking metrics are elaborated to reflect Distribution System Operators (DSOs)-specific objectives. Second, as the installation of additional meters should make sense from an economic point of view, the meters coming from the meter placement are subject to a CBA where the cost of installing an additional meter is compared with the savings in flexible power coming from the improvement of the voltage control strategy with the installed meter (in terms of lower power flexibility required to keep the voltage within the allowed boundaries).The proposed framework is applied to study various scenarios with different levels of load, generation, and DER penetration, on a representative 99-node distribution grid. The results show the influence of operating conditions on the estimation uncertainties and highlight the importance of selecting the fittest metric for the DSO target, as the meter placement heavily influences the results of the CBA. It is also shown that significant savings can be achieved with a low number of meters, especially in scenarios with low generation, load, and DER penetration. The developed framework showcases enough flexibility due to its modularity, e.g., the proposed meter placement strategy can be replaced by any other meter placement method without affecting the CBA, specific costs can be included in the CBA module ensuring the replicability of the framework with alternative boundary conditions, and the meter placement strategy alone can be adopted for any other SE-based application in the case economic considerations are not of interest. Moreover, the proposed framework provides DSOs with a new tool to help them in making informed decisions with respect to operational tasks: by linking the meter placement with the voltage control and emphasizing the economic benefits, DSOs can effectively decide if a meter is worth installing based on cost considerations rather than just accounting for uncertainty thresholds.
LB  - PUB:(DE-HGF)19
DO  - DOI:10.18154/RWTH-2024-08145
UR  - https://publications.rwth-aachen.de/record/992313
ER  -