Optimizing the Reliability and Performance of Remote Vehicle-to-Grid Systems Using a Minimal Set of Metrics

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Annette G. Skowronska ◽  
David J. Gorsich ◽  
Vijitashwa Pandey ◽  
Zissimos P. Mourelatos
Keyword(s):  
Power Systems ◽  
Electrical Power ◽  
Optimal Solution ◽  
Planning Horizon ◽  
Spare Parts ◽  
Careful Consideration ◽  
Repairable Systems ◽  
Minimal Set ◽  
Power Management Strategy ◽  
And Performance

Vehicles connected to electric systems are considered “plug-in” vehicles. They can be an integral part of a microgrid. Ground vehicles have become more electrified over time, providing electrical power for the propulsion system (hybrid) and a complex suite of auxiliary power systems, enhancing their use in microgrids. Optimizing the microgrid system for performance and reliability considering many external loads and sources is a challenging problem. This is especially true when the plug-in vehicles may enter and leave the microgrid randomly becoming either sources or loads. The microgrid is a repairable system. Recent work has shown that multiple metrics are needed to fully account for the performance of repairable systems under uncertainty. In this paper, we propose a decision-based framework to design and maintain repairable systems for optimal performance and reliability using a set of metrics such as minimum failure free period (MFFP), number of failures in planning horizon, and cost. Optimal tradeoffs among a minimal set of metrics (MSOM) can be used in the design and maintenance of these systems. The optimal solution includes the initial design, the system maintenance throughout the planning horizon, and the protocol to operate the system. Critical remote military installations with plug-in vehicles connected to the microgrids require careful consideration of cost and repair strategies because of logistical challenges in performing repairs and supplying necessary spare parts in unsafe locations. We show how a MSOM helps to solve the complex optimization problem of finding the best microgrid power management strategy considering performance, reliability, and cost.

Reliability and Functionality of Repairable Systems Using a Minimal Set of Metrics: Design and Maintenance of a Smart Charging Microgrid

2013 ◽  
Author(s):  
Vijitashwa Pandey ◽  
Annette G. Skowronska ◽  
Zissimos P. Mourelatos ◽  
David Gorsich ◽  
Matthew Castanier
Keyword(s):  
Decision Making ◽  
Spare Parts ◽  
Careful Consideration ◽  
Repairable Systems ◽  
Minimal Set ◽  
Us Army ◽  
Military Installation ◽  
Smart Charging ◽  
Definition Of ◽  
Multiple Metrics

The definition of reliability may not be readily applicable for repairable systems. Our recent work has shown that multiple metrics are needed to fully account for the performance of a repairable system under uncertainty. Optimal tradeoffs among a minimal set of metrics can be used in the design and maintenance of these systems. A minimal set of metrics provides the most information about the system with the smallest number of metrics using a set of desirable properties. Critical installations such as a remote microgrid powering a military installation require a careful consideration of cost and repair strategies. This is because of logistical challenges in performing repairs and supplying necessary spare parts, particularly in unsafe locations. This paper shows how a minimal set of metrics enhances decision making in such a scenario. It enables optimal tradeoffs between critical attributes in decision making, while guaranteeing that all important performance measures are satisfied. As a result, cost targets and inventory planning can be achieved in an optimal way. We demonstrate the value of the proposed approach using a US Army smart-charging microgrid installation.

Optimal maintenance strategies for repairable systems with general degree of repair

1991 ◽  
Vol 28 (02) ◽  
pp. 384-396 ◽  
Author(s):  
Wolfgang Stadje ◽  
Dror Zuckerman
Keyword(s):  
Optimal Policy ◽  
Planning Horizon ◽  
Spare Parts ◽  
Inventory Systems ◽  
Maintenance Strategy ◽  
Repairable Systems ◽  
Discounted Cost ◽  
Wide Range ◽  
Optimal Maintenance ◽  
New Research

In this study we examine repairable systems with random lifetime. Upon failure, a maintenance action, specifying the degree of repair, is taken by a controller. The objective is to determine an age-dependent maintenance strategy which minimizes the total expected discounted cost over an infinite planning horizon. Using several properties of the optimal policy which are derived in this study, we propose analytical and numerical methods for determining the optimal maintenance strategy. In order to obtain a better insight regarding the structure and nature of the optimal policy and to illustrate computational procedures, a numerical example is analysed. The proposed maintenance model outlines a new research channel in the area of reliability with interesting theoretical issues and a wide range of potential applications in various fields such as product design, inventory systems for spare parts, and management of maintenance crews.

scholarly journals Stand-alone PV system with MPPT function based on fuzzy logic control for remote building applications

2019 ◽  
Vol 10 (2) ◽  
pp. 842 ◽  
Author(s):  
Hussain A. Attia ◽  
Fernando DelAma Gonzalo
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Fuzzy Logic Controller ◽  
Electrical Power ◽  
Good Alternative ◽  
Solar Pv ◽  
Pv System ◽  
Single Phase Inverter ◽  
And Performance ◽  
Power Point

<p align="LEFT"><span>Due to the limitations of reaching the grid utility to remote area, such as rural and/or countryside areas.  Stand-alone photovoltaic power systems represent good alternative that it can be adapted for electrical power delivering to these areas. In this paper, a new design of stand-alone solar system suitable for individual building application is presented. This study focuses on proposing a desired solar PV panels matrix arrangement and connection, in addition to presenting an accurate design of Buck-Boost DC-DC converter which controlled by fuzzy logic controller FLC. The controller guarantees the maximum Power Point working conditions and manipulates the fluctuation of the DC link voltage of the matrix due to the weather changing. The main system includes battery bank charger, single phase inverter, and passive power filter. This study addresses the design and performance analysis the DC side of the 7.85 kW PV system. The system performance is evaluated through MATLAB/Simulink results which reflected the promising indications as an effective system for rural individual stand-alone building applications. </span></p>

Bayesian degradation modelling for spare parts inventory management

2020 ◽  
Vol 32 (1) ◽  
pp. 31-49 ◽  
Author(s):  
Cesar Ruiz ◽  
Edward Pohl ◽  
Haitao Liao
Keyword(s):  
Inventory Management ◽  
Optimal Solution ◽  
Planning Horizon ◽  
Degradation Process ◽  
Spare Parts ◽  
Optimal Time ◽  
Model Parameters ◽  
Stochastic Dynamic ◽  
Spare Parts Management ◽  
Spare Parts Inventory

Abstract Decision makers in various sectors, such as manufacturing and transportation, strive to minimize downtime costs. Often, brief-planned stoppage times allow for changes in shifts and line configurations and longer periods are scheduled for major repairs. It is quite important to proactively make use of these downtimes to reduce the costs of unexpected downtimes due to failures. Among many aspects, the availability of spare parts significantly affects the operational costs of such systems. Current sensor technologies enable the condition monitoring of critical components and degradation-based spare parts management. This paper focuses on Bayesian degradation modelling for spare parts inventory management for a new system. We propose a stochastic dynamic program to minimize the expected spare parts inventory cost for a fixed planning horizon. A numerical example illustrates the value of Bayesian analysis in this management setting. The proposed methodology finds the optimal time between long stoppages and optimal spare parts order quantity when the prior information about the degradation process is accurate. The methodology can be used to analyse the sensitivity of the optimal solution to changes in the accuracy and bias of the prior distributions of the model parameters, the cost structure and the number of machines in the system.

scholarly journals Comparison of Numerical Methods and Open-Source Libraries for Eigenvalue Analysis of Large-Scale Power Systems

2020 ◽  
Vol 10 (21) ◽  
pp. 7592
Author(s):  
Georgios Tzounas ◽  
Ioannis Dassios ◽  
Muyang Liu ◽  
Federico Milano
Keyword(s):  
Numerical Methods ◽  
Power Systems ◽  
Power System ◽  
Open Source ◽  
Large Scale ◽  
Eigenvalue Problems ◽  
Electrical Power ◽  
Software Tools ◽  
Transmission System ◽  
And Performance

This paper discusses the numerical solution of the generalized non-Hermitian eigenvalue problem. It provides a comprehensive comparison of existing algorithms, as well as of available free and open-source software tools, which are suitable for the solution of the eigenvalue problems that arise in the stability analysis of electric power systems. The paper focuses, in particular, on methods and software libraries that are able to handle the large-scale, non-symmetric matrices that arise in power system eigenvalue problems. These kinds of eigenvalue problems are particularly difficult for most numerical methods to handle. Thus, a review and fair comparison of existing algorithms and software tools is a valuable contribution for researchers and practitioners that are interested in power system dynamic analysis. The scalability and performance of the algorithms and libraries are duly discussed through case studies based on real-world electrical power networks. These are a model of the All-Island Irish Transmission System with 8640 variables; and, a model of the European Network of Transmission System Operators for Electricity, with 146,164 variables.

Optimal maintenance strategies for repairable systems with general degree of repair

1991 ◽  
Vol 28 (2) ◽  
pp. 384-396 ◽  
Author(s):  
Wolfgang Stadje ◽  
Dror Zuckerman
Keyword(s):  
Optimal Policy ◽  
Planning Horizon ◽  
Spare Parts ◽  
Inventory Systems ◽  
Maintenance Strategy ◽  
Repairable Systems ◽  
Discounted Cost ◽  
Wide Range ◽  
Optimal Maintenance ◽  
New Research

In this study we examine repairable systems with random lifetime. Upon failure, a maintenance action, specifying the degree of repair, is taken by a controller. The objective is to determine an age-dependent maintenance strategy which minimizes the total expected discounted cost over an infinite planning horizon. Using several properties of the optimal policy which are derived in this study, we propose analytical and numerical methods for determining the optimal maintenance strategy. In order to obtain a better insight regarding the structure and nature of the optimal policy and to illustrate computational procedures, a numerical example is analysed. The proposed maintenance model outlines a new research channel in the area of reliability with interesting theoretical issues and a wide range of potential applications in various fields such as product design, inventory systems for spare parts, and management of maintenance crews.

Performance of energy scavenging device by considering fatigue of PZT

2016 ◽  
Vol 13 (2) ◽  
pp. 124-128 ◽  
Author(s):  
K. Viswanath Allamraju ◽  
Srikanth Korla
Keyword(s):  
Power Systems ◽  
Low Power ◽  
Lead Zirconate Titanate ◽  
Electrical Power ◽  
Spare Parts ◽  
Smart Devices ◽  
Energy Scavenging ◽  
Power Requirement ◽  
Peak Voltage ◽  
Content Type

Purpose Purpose is to design the energy harvesters and to know the limit of the application of load on the PZT material. Fatigue failures of the designed products is merely bothering the modern engineers and scientists for the research communities of all fields. Especially in the field of Micro Electromechanical Systems (MEMS), durability of low power systems is very important under the climates of both at high temperature and low temperature zones. And also continuous electrical power requirement is important for the MEMS and wireless sensor networks. Electricity is the greatest crisis in the world on one side and on the other side, durability of smart devices such as mobile phones, laptops, compact devices, computer spare parts are unrecyclicable batteries for reducing the rate of pollution in the environment. Design/methodology/approach By considering these problems, authors have taken up a research in finding the first fatigue characteristics, which are fatigue failure and durability of ferroelectric material as lead zirconate titanate, and then designed the scavenging device by using harmonically excited vibrations for getting optimum power output which is about 15.6 mW. Findings Under the resonance operated condition at the frequency of about 50 Hz, a prototype of scavenging device is about 90 V AC peak-to-peak voltage and the durability of scavenging device is 9.715 years. Originality/value Durability of PZT at different environmental conditions plays a very important role for the continuous function of low power devices. The output of PZT may change when the working time increases in addition with the mechanical properties.

Voltage Quality in Electrical Power Systems

2001 ◽  
Author(s):  
J. Schlabbach ◽  
D. Blume ◽  
T. Stephanblome
Keyword(s):  
Power Systems ◽  
Electrical Power ◽  
Electrical Power Systems ◽  
Voltage Quality
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