TY  - JOUR
A1  - Sun, Hui
A1  - Altherr, Lena
A1  - Pei, Ji
A1  - Pelz, Peter F.
A1  - Yuan, Shouqi
T1  - Optimal booster station design and operation under uncertain load
JF  - Applied Mechanics and Materials
N2  - Given industrial applications, the costs for the operation and maintenance of a pump system typically far exceed its purchase price. For finding an optimal pump configuration which minimizes not only investment, but life-cycle costs, methods like Technical Operations Research which is based on Mixed-Integer Programming can be applied. However, during the planning phase, the designer is often faced with uncertain input data, e.g. future load demands can only be estimated. In this work, we deal with this uncertainty by developing a chance-constrained two-stage (CCTS) stochastic program. The design and operation of a booster station working under uncertain load demand are optimized to minimize total cost including purchase price, operation cost incurred by energy consumption and penalty cost resulting from water shortage. We find optimized system layouts using a sample average approximation (SAA) algorithm, and analyze the results for different risk levels of water shortage. By adjusting the risk level, the costs and performance range of the system can be balanced, and thus the
system’s resilience can be engineered
KW  - Stochastic Programming
KW  - Chance Constraint
KW  - Engineering Application
KW  - Pump System
KW  - Water Distribution
Y1  - 2018
U6  - http://dx.doi.org/10.4028/www.scientific.net/AMM.885.102
SN  - 1662-7482
VL  - 885
SP  - 102
EP  - 115
PB  - Trans Tech Publications
CY  - Bäch
ER  - 
TY  - CHAP
A1  - Tischbein, Franziska
A1  - Kean, Kilian
A1  - Vertgewall, Chris Martin
A1  - Ulbig, Andreas
A1  - Altherr, Lena
T1  - Determination of the topology of low-voltage distribution grids using cluster methods
T2  - 27th International Conference on Electricity Distribution (CIRED 2023)
N2  - Due to the decarbonization of the energy sector, the electric distribution grids are undergoing a major transformation, which is expected to increase the load on the operating resources due to new electrical loads and distributed energy resources. Therefore, grid operators need to gradually move to active grid management in order to ensure safe and reliable grid operation. However, this requires knowledge of key grid variables, such as node voltages, which is why the mass integration of measurement technology (smart meters) is necessary. Another problem is the fact that a large part of the topology of the distribution grids is not sufficiently digitized and models are partly faulty, which means that active grid operation management today has to be carried out largely blindly. It is therefore part of current research to develop methods for determining unknown grid topologies based on measurement data. In this paper, different clustering algorithms are presented and their performance of topology detection of low voltage grids is compared. Furthermore, the influence of measurement uncertainties is investigated in the form of a sensitivity analysis.
Y1  - 2023
SN  - 978-1-83953-855-1
U6  - http://dx.doi.org/10.1049/icp.2023.0478
N1  - 27th International Conference on Electricity Distribution (CIRED 2023), 12-15 June 2023, Rome, Italy.
SP  - 1
EP  - 5
PB  - IEEE
ER  -