Topology and Design Optimization of a 14 V Automotive Power Net Using a Modified Discrete PSO in a Physical Simulation

Ruf, Florian; Schill, Markus M.; Barthels, Andreas; Kohler, Tom P.; Michel, Hans-Ulrich; Froeschl, Joachim; Herzog, Hans-Georg

doi:10.1109/vppc.2013.6671740

Cited by 8 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…integers) for consideration. The use of such rounding-off strategies can reduce the algorithm performance and solution optimality, partially due to the limited ability to efficiently explore the search space (where redundancy is introduced) and fully comply with various algorithm operations and settings, as in dealing with continuous variables [ 37 – 39 ]. Besides, a high degree of nonlinearity is exhibited by the water network operational optimization problem, given the combinatorial effect of the hydraulic complexities, operational constraints, demand profiles, energy tariffs and, both discrete and continuous operational variables.…”

Section: The Methodology For Water Network Operational Optimizationmentioning

confidence: 99%

“…The optimization to be conducted will then be able to search for new solutions given such changes. [37][38][39]. Besides, a high degree of nonlinearity is exhibited by the water network operational optimization problem, given the combinatorial effect of the hydraulic complexities, operational constraints, demand profiles, energy tariffs and, both discrete and continuous operational variables.…”

Section: (A) Model-based Predictive Control Schemementioning

confidence: 99%

See 1 more Smart Citation

A systematic mixed-integer differential evolution approach for water network operational optimization

Zhao¹,

Beach²,

Rezgui³

2018

Proc. R. Soc. A.

View full text Add to dashboard Cite

The operational management of potable water distribution networks presents a great challenge to water utilities, as reflected by the complex interplay of a wide range of multidimensional and nonlinear factors across the water value chain including the network physical structure and characteristics, operational requirements, water consumption profiles and the structure of energy tariffs. Nevertheless, both continuous and discrete actuation variables can be involved in governing the water network, which makes optimizing such networks a mixed-integer and highly constrained decision-making problem. As such, there is a need to situate the problem holistically, factoring in multidimensional considerations, with a goal of minimizing water operational costs. This paper, therefore, proposes a systematic optimization methodology for (near) real-time operation of water networks, where the operational strategy can be dynamically updated using a model-based predictive control scheme with little human intervention. The hydraulic model of the network of interest is thereby integrated and successively simulated with different trial strategies as part of the optimization process. A novel adapted mixed-integer differential evolution (DE) algorithm is particularly designed to deal with the discrete-continuous actuation variables involved in the network. Simulation results on a pilot water network confirm the effectiveness of the proposed methodology and the superiority of the proposed mixed-integer DE in comparison with genetic algorithms. It also suggests that 23.69% cost savings can be achieved compared with the water utility's current operational strategy, if adaptive pricing is adopted for all the pumping stations.

show abstract

Section: The Methodology For Water Network Operational Optimizationmentioning

confidence: 99%

Section: (A) Model-based Predictive Control Schemementioning

confidence: 99%

A systematic mixed-integer differential evolution approach for water network operational optimization

Zhao¹,

Beach²,

Rezgui³

2018

Proc. R. Soc. A.

View full text Add to dashboard Cite

show abstract

“…In [8] Ruf and coworkers combine a modified discrete Particle Swarm Optimization with a physical power net simulation to meet voltage stability requirements in transient behaviors. Such physical power net simulation is performed using a Dymola-based tool with the models implemented in Modelica language.…”

Section: State Of the Art In Eds Simulationmentioning

confidence: 99%

“…Simulation and optimization lie on the energy management, where under critical network conditions the degradation of loads will occur under a priority criteria where safety prevails over comfort. Similar to the work of [7] and [8], the wire harnesses are not object of study. On the other hand, the need for weight reduction has motivated the modeling and optimization of wire harnesses as described in [10], [11].…”

Section: State Of the Art In Eds Simulationmentioning

confidence: 99%

Power Flow Simulation in the Product Development Process of Modern Vehicular DC Distribution Systems

Mantilla-Pérez

Pérez-Rúa

Millan

et al. 2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

“…In future work, the model will be used both in the Modelica-based automotive power net simulation environment (Ruf et al, 2013) as well as in real-time operation in an automotive power net test bench (Kohler et al, 2010). For parametrization of the model, only the switching frequency and the datasheet parameters of the power semiconductors, the inductance, and the capacitors are needed.…”

Section: Objectives and Approachmentioning

confidence: 99%

Average Model of a Synchronous Half-Bridge DC/DC Converter Considering Losses and Dynamics

Winter

Moser

Schoenewolf

et al. 2015

Linköping Electronic Conference Proceedings

Self Cite

View full text Add to dashboard Cite

Nowadays, power electronic systems play a major role in almost every large system. Due to the high switching frequencies, the simulation of these devices is computationally very expensive and not suitable for system simulation. Average models of these power electronic systems are needed to simulate the basic terminal characteristics of these devices without the need to simulate every switching operation. This paper describes a Modelica implementation of a synchronous half-bridge converter for the use in an automotive power net simulation as well as in real-time environments. The model takes into account the losses in the semiconductors as well as the dynamic behavior of the converter. For the parametrization of the model, only the switching frequency and some values from the datasheets of the used components are required. To validate the proposed model, an equivalent SPICE model is developed, serving as a reference model. The dynamic behavior of the two models is compared using step responses of the load current. The relative deviation of the model's output voltage compared to the SPICE simulation is less than 2 %. Furthermore, also the energetic behavior was investigated, and it is shown that the proposed model provides good results for a wide operating area.

show abstract

Topology and Design Optimization of a 14 V Automotive Power Net Using a Modified Discrete PSO in a Physical Simulation

Cited by 8 publications

References 27 publications

A systematic mixed-integer differential evolution approach for water network operational optimization

A systematic mixed-integer differential evolution approach for water network operational optimization

Power Flow Simulation in the Product Development Process of Modern Vehicular DC Distribution Systems

Average Model of a Synchronous Half-Bridge DC/DC Converter Considering Losses and Dynamics

Contact Info

Product

Resources

About