Reward-Lifetime Scheduling Approach to the Autonomous Spacecraft Power Management Problem

2012 ◽  
Vol 9 (2) ◽  
pp. 58-67
Author(s):  
Patrick M. Shriver ◽  
Scott E. Palo ◽  
Raymond G. Zenick ◽  
Mark J. Balas
Keyword(s):  
Power Management ◽  
Management Problem

scholarly journals Power-Aware Routing and Network Design with Bundled Links: Solutions and Analysis

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Rosario G. Garroppo ◽  
Stefano Giordano ◽  
Gianfranco Nencioni ◽  
Maria Grazia Scutellà
Keyword(s):  
Power Consumption ◽  
Network Design ◽  
Power Management ◽  
Network Topology ◽  
Traffic Load ◽  
Management Problem ◽  
Traffic Demand ◽  
Interface Card ◽  
The Relationship ◽  
Qos Requirement

The paper deeply analyzes a novel network-wide power management problem, called Power-Aware Routing and Network Design with Bundled Links (PARND-BL), which is able to take into account both the relationship between the power consumption and the traffic throughput of the nodes and to power off both the chassis and even the single Physical Interface Card (PIC) composing each link. The solutions of the PARND-BL model have been analyzed by taking into account different aspects associated with the actual applicability in real network scenarios: (i) the time for obtaining the solution, (ii) the deployed network topology and the resulting topology provided by the solution, (iii) the power behavior of the network elements, (iv) the traffic load, (v) the QoS requirement, and (vi) the number of paths to route each traffic demand. Among the most interesting and novel results, our analysis shows that the strategy of minimizing the number of powered-on network elements through the traffic consolidation does not always produce power savings, and the solution of this kind of problems, in some cases, can lead to spliting a single traffic demand into a high number of paths.

scholarly journals Power Management Problem for Civil Aircraft under More Electric Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Yuanchao Yang ◽  
Zichen Gao
Keyword(s):  
Power Management ◽  
Power Supply ◽  
Electrical Power ◽  
Mixed Integer ◽  
Aviation Industry ◽  
Management Problem ◽  
Safety Critical ◽  
Civil Aircraft ◽  
Electrical Loads ◽  
Efficient Power

The civil aviation industry is moving toward the more electric aircraft (MEA) which is to use electrical power to meet the load demands on multiple aircraft subsystems which are conventionally driven by other power resources. Thus, there will be introduced a large amount of new electrical power demands which are safety-critical for aircraft’s flight and this may lead the challenge for a reliable and efficient power management problem (PMP): the balance between the aircraft power supply and demands while minimizing the operation costs. To cope with the PMP for civil aircraft under more electric environment, in this paper, we explicitly give a detailed and complete modeling of all power supply resources (fuel and battery) and safety-critical electrical loads and cast the PMP as a mixed-integer nonlinear programming problem; we develop a practical solution methodology for the application on the real civil MEA. The proposed formulation and solution algorithm can give an efficient power schedule result with the minimal fuel and battery operation cost through a smart codispatch between the gas turbine generator, storage devices, and all electrical loads of MEA. Numerical testing results based on one real civil aircraft case demonstrate the economic and operational effectiveness.

Data Mining-Based Smart Industrial Park Energy Efficiency Management System

2014 ◽  
Vol 484-485 ◽  
pp. 585-588 ◽  
Author(s):  
Ning Xi Song ◽  
Di Ming Wan ◽  
Qian Sun ◽  
Jian Feng Yue
Keyword(s):  
Data Mining ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Electric Power ◽  
Power Management ◽  
Management System ◽  
Electric Energy ◽  
Scientific Management ◽  
Industrial Park ◽  
Management Problem

Smart industrial park energy efficiency management system is used for solving the demanded side electric power management problem mainly in terms of scientific management. In this system, the data of electric power, electric power quality, and electric energy is acquired in real time by installing an electric power management monitor in the main load points, so as to analyze electric energy efficiency and energy consumption. A large amount of data can be obtained from the system, and if these huge amounts of data are of a value can be further analyzed, finding the unknown factors affecting enterprises energy consumption, equipment performance, and operational efficiency, and the disadvantages of the traditional data processing method. Therefore, an advanced data analysis and processing tool (i.e. efficiency data mining technology) is introduced for analyzing and mining large amounts of data monitored with the smart industrial park system.

scholarly journals Optimisation-Based Power Management System for an Electric Vehicle with a Hybrid Energy Storage System

2018 ◽  
Vol 15 (4) ◽  
pp. 5729-5747
Author(s):  
S. Gonsrang ◽  
R. Kasper
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management System ◽  
Storage System ◽  
Sampling Period ◽  
Quadratic Program ◽  
Management Problem ◽  
Component Level ◽  
Power Load ◽  
Power Management System

Hybridisation of energy storage sources is necessary for extending mileage of electric vehicles. However, coordination of multiple devices with different characteristics is challenging. This paper presents a power management system (PMS) for an electric car equipped with a battery pack, supercapacitor bank, and range extender. The proposed PMS deals with vehicular load distribution by solving a power management problem, formulated as a constrained quadratic program (CQP). Then, the optimised variables, such as the desired speed and optimised operation points of the car’s components, are implemented by controllers at a component level. Complete knowledge about the trip is unwanted because the proposed PMS considers a power management problem only over a controlled horizon of one sampling period. Furthermore, this work varies weight factors to tackle various difficulties, for instance, regenerative power management. The simulation results revealed that the proposed system optimally allocated an electric power load to the car components, without violating any physical constraints. Also, the comparative study showed that the performance of the CQP in power management was comparable to that of the benchmark, based on a nonlinear model predictive control.

Battery-Health Conscious Power Management for Plug-In Hybrid Electric Vehicles via Stochastic Control

2010 ◽  
Author(s):  
Scott J. Moura ◽  
Jeffrey L. Stein ◽  
Hosam K. Fathy
Keyword(s):  
Energy Consumption ◽  
Power Management ◽  
Electric Vehicles ◽  
Energy Cost ◽  
Hybrid Electric Vehicles ◽  
Stochastic Dynamic ◽  
Management Problem ◽  
Battery Charge ◽  
Consumption Cost ◽  
Hybrid Electric

This paper investigates power management algorithms that optimally manage lithium-ion battery pack health, in terms of anode-side film growth, for plug-in hybrid electric vehicles (PHEVs). Specifically, we integrate a reduced electrochemical model of solid electrolyte interface (SEI) film formation into a stochastic dynamic programming formulation of the PHEV power management problem. This makes it possible to optimally trade off energy consumption cost versus battery health. A careful analysis of the resulting Pareto-optimal set of power management solutions provides two important insights into the tradeoffs between battery health and energy consumption cost in PHEVs. First, optimal power management solutions that minimize energy consumption cost tend to ration battery charge, while the solutions that minimize battery health degradation tend to deplete charge aggressively. Second, solutions that balance the needs for minimum energy cost and maximum battery health tend to aggressively deplete battery charge at high states of charge (SOCs), then blend engine and battery power at lower SOCs. These results provide insight into the fundamental tradeoffs between battery health and energy cost in PHEV power management.

scholarly journals A MAS integrated into Home Automation system, for the resolution of power management problem in smart homes

2011 ◽  
Vol 6 ◽  
pp. 786-794 ◽  
Author(s):  
Hussein Joumaa ◽  
St́ephane Ploix ◽  
Shadi Abras ◽  
Gŕegory De Oliveira
Keyword(s):  
Power Management ◽  
Smart Homes ◽  
Automation System ◽  
Home Automation ◽  
Management Problem ◽  
Home Automation System
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