UPFC controller in mitigating line congestion for cost-efficient power delivery

Author(s):  
E.M. Yap ◽  
M. Al-Dabbagh ◽  
P.C. Thum
2021 ◽  
Author(s):  
Lalit Ahuja ◽  
Anshul Tyagi ◽  
Arti Tare ◽  
Nancy Das ◽  
Yashas Shetty ◽  
...  

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-21
Author(s):  
Jasmin Schult ◽  
Daniel Schwyn ◽  
Michael Giardino ◽  
David Cock ◽  
Reto Achermann ◽  
...  

Modern computer server systems are increasingly managed at a low level by baseboard management controllers (BMCs). BMCs are processors with access to the most critical parts of the platform, below the level of OS or hypervisor, including control over power delivery to every system component. Buggy or poorly designed BMC software not only poses a security threat to a machine, it can permanently render the hardware inoperative. Despite this, there is little published work on how to rigorously engineer the power management functionality of BMCs so as to prevent this happening. This article takes a first step toward putting BMC software on a sound footing by specifying the hardware environment and the constraints necessary for safe and correct operation. This is best accomplished through automation: correct-by-construction power control sequences can be efficiently generated from a simple, trustworthy model of the platform’s power tree that incorporates the sequencing requirements and safe voltage ranges of all components. We present both a modeling language for complex power-delivery networks and a tool to automatically generate safe, efficient power sequences for complex modern platforms. This not only increases the trustworthiness of a hitherto opaque yet critical element of platform firmware: regulator and chip power models are significantly simpler to produce than hand-written power sequences. This, combined with model reuse for common components, reduces both time and cost associated with platform bring-up for new hardware. We evaluate our tool using a new high-performance 2-socket server platform with >100W per socket TDP, tight voltage limits and 25 distinct power regulators needing configuration, showing both fast (<10s) tool runtime, and correct power sequencing of a live system.


Author(s):  
Tim Lambert ◽  
Mohammad Biglarbegian ◽  
Shohel Mahmud

This paper presents the development of a novel intelligent controller that improves fuel efficiency in parallel hybrid vehicles. The complexity of parallel hybrid vehicle models makes development of classical controllers which optimize energy usage extremely difficult. Therefore, we introduce a fuzzy controller that uses four inputs: battery state-of-charge, fuel tank fill quotient, vehicle distance-to-goal and driver power demand. The outputs of the controller are on/off states of the battery power supply, generator, and engine. The controller uses these outputs in a hierarchical power distribution scheme that prioritizes the delivery of power by the most efficient drive mechanism. Simulation results show that the controller increases battery usage up to 20% while decreasing fuel consumption. To verify the robustness of the proposed system, white noise is injected to the controller. The results prove that the system is robust to perturbations.


Author(s):  
Fern Nee Tan ◽  
Sze Geat Pang ◽  
Dhinesh Sasidaran ◽  
Chee Siong Lee ◽  
Jin Sean Lim ◽  
...  

Author(s):  
K. Takaie ◽  
K. Tamura ◽  
Y. Kawakita ◽  
S. Yokogawa ◽  
Y. Tobe ◽  
...  

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