13,397 research outputs found

    Voltage island-driven floorplanning.

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    Ma, Qiang.Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.Includes bibliographical references (leaves 78-80).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.ivChapter 1 --- Introduction --- p.1Chapter 1.1 --- Background --- p.1Chapter 1.2 --- Floorplanning --- p.2Chapter 1.3 --- Motivations --- p.4Chapter 1.4 --- Design Implementation of Voltage Islands --- p.5Chapter 1.5 --- Problem Formulation --- p.8Chapter 1.6 --- Progress on the Problem --- p.10Chapter 1.7 --- Contributions --- p.12Chapter 1.8 --- Thesis Organization --- p.14Chapter 2 --- Literature Review on MSV --- p.15Chapter 2.1 --- Introduction --- p.15Chapter 2.2 --- MSV at Post-floorplan/Post Placement Stage --- p.16Chapter 2.2.1 --- """Post-Placement Voltage Island Generation under Performance Requirement""" --- p.16Chapter 2.2.2 --- """Post-Placement Voltage Island Generation""" --- p.18Chapter 2.2.3 --- """Timing-Constrained and Voltage-Island-Aware Voltage Assignment""" --- p.19Chapter 2.2.4 --- """Voltage Island Generation under Performance Requirement for SoC Designs""" --- p.20Chapter 2.2.5 --- """An ILP Algorithm for Post-Floorplanning Voltage-Island Generation Considering Power-Network Planning""" --- p.21Chapter 2.3 --- MSV at Floorplan/Placement Stage --- p.22Chapter 2.3.1 --- """Architecting Voltage Islands in Core-based System-on-a- Chip Designs""" --- p.22Chapter 2.3.2 --- """Voltage Island Aware Floorplanning for Power and Timing Optimization""" --- p.23Chapter 2.4 --- Summary --- p.27Chapter 3 --- MSV Driven Floorplanning --- p.29Chapter 3.1 --- Introduction --- p.29Chapter 3.2 --- Problem Formulation --- p.32Chapter 3.3 --- Algorithm Overview --- p.33Chapter 3.4 --- Optimal Island Partitioning and Voltage Assignment --- p.33Chapter 3.4.1 --- Voltage Islands in Non-subtrees --- p.35Chapter 3.4.2 --- Proof of Optimality --- p.36Chapter 3.4.3 --- Handling Island with Power Down Mode --- p.37Chapter 3.4.4 --- Speedup in Implementation and Complexity --- p.38Chapter 3.4.5 --- Varying Background Chip-level Voltage --- p.39Chapter 3.5 --- Simulated Annealing --- p.39Chapter 3.5.1 --- Moves --- p.39Chapter 3.5.2 --- Cost Function --- p.40Chapter 3.6 --- Experimental Results --- p.40Chapter 3.6.1 --- Extension to Minimize Level Shifters --- p.45Chapter 3.6.2 --- Extension to Consider Power Network Routing --- p.46Chapter 3.7 --- Summary --- p.46Chapter 4 --- MSV Driven Floorplanning with Timing --- p.49Chapter 4.1 --- Introduction --- p.49Chapter 4.2 --- Problem Formulation --- p.52Chapter 4.3 --- Algorithm Overview --- p.56Chapter 4.4 --- Voltage Assignment Problem --- p.56Chapter 4.4.1 --- Lagrangian Relaxation --- p.58Chapter 4.4.2 --- Transformation into the Primal Minimum Cost Flow Problem --- p.60Chapter 4.4.3 --- Cost-Scaling Algorithm --- p.64Chapter 4.4.4 --- Solution Transformation --- p.66Chapter 4.5 --- Simulated Annealing --- p.69Chapter 4.5.1 --- Moves --- p.69Chapter 4.5.2 --- Speeding up heuristic --- p.69Chapter 4.5.3 --- Cost Function --- p.70Chapter 4.5.4 --- Annealing Schedule --- p.71Chapter 4.6 --- Experimental Results --- p.71Chapter 4.7 --- Summary --- p.72Chapter 5 --- Conclusion --- p.76Bibliography --- p.8

    Power quality disturbances assessment during unintentional islanding scenarios. A contribution to voltage sag studies

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    This paper presents a novel voltage sag topology that occurs during an unintentional islanding operation (IO) within a distribution network (DN) due to large induction motors (IMs). When a fault occurs, following the circuit breaker (CB) fault clearing, transiently, the IMs act as generators due to their remanent kinetic energy until the CB reclosing takes place. This paper primarily contributes to voltage sag characterization. Therefore, this novel topology is presented, analytically modelled and further validated. It is worth mentioning that this voltage sag has been identified in a real DN in which events have been recorded for two years. The model validation of the proposed voltage sag is done via digital simulations with a model of the real DN implemented in Matlab considering a wide range of scenarios. Both simulations and field measurements confirm the voltage sag analytical expression presented in this paper as well as exhibiting the high accuracy achieved in the three-phase model adopted.Postprint (published version

    Smart Grid for the Smart City

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    Modern cities are embracing cutting-edge technologies to improve the services they offer to the citizens from traffic control to the reduction of greenhouse gases and energy provisioning. In this chapter, we look at the energy sector advocating how Information and Communication Technologies (ICT) and signal processing techniques can be integrated into next generation power grids for an increased effectiveness in terms of: electrical stability, distribution, improved communication security, energy production, and utilization. In particular, we deliberate about the use of these techniques within new demand response paradigms, where communities of prosumers (e.g., households, generating part of their electricity consumption) contribute to the satisfaction of the energy demand through load balancing and peak shaving. Our discussion also covers the use of big data analytics for demand response and serious games as a tool to promote energy-efficient behaviors from end users
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