Post-Disruption Performance Recovery to Enhance Resilience of Interconnected Network Systems

2019 ◽  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang
Keyword(s):  
Distribution System ◽  
Disruption Management ◽  
Network Systems ◽  
Analysis Process ◽  
Recovery Strategies ◽  
Performance Recovery ◽  
Different Types ◽  
Failure Restoration ◽  
Different Characteristics ◽  
Disruption Recovery

Abstract Mitigating the effect of potential disruptive events at the operating phase of an engineered system therefore improving the system’s failure resilience is an importance yet challenging task in system operation. For complex networked system, different stakeholders complicate the analysis process by introducing different characteristics, such as different types of material flow, storage, response time, and flexibility. With different types of systems, the resilience can be improved by enhancing the failure restoration capability of the systems with appropriate performance recovery strategies. These methods include but not limit to, rerouting paths, optimal repair sequence and distributed resource centers. Considering different characteristics of disruptive events, effective recovery strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop a generally applicable framework to optimally coordinate different recovery strategies and thus lead to desirable failure restoration performances. This paper presents a post-disruption recovery decision-making framework for networked systems, to help decision-makers optimize recovery strategies, in which the overall recovery task is formulated as an optimization problem to achieve maximum resilience. A case study of an electricity distribution system is used to demonstrate the feasibility of the developed framework and the comparison of several recovery strategies for disruption management.

A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience

2018 ◽  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang
Keyword(s):  
Dynamic System ◽  
Engineering Design ◽  
Control Strategies ◽  
System Modeling ◽  
Effective Control ◽  
Disruption Management ◽  
System Control ◽  
Dynamic System Modeling ◽  
Failure Restoration ◽  
Different Characteristics

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system’s failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.

A Comparison of Control Strategies for Disruption Management in Engineering Design for Resilience

2019 ◽  
Vol 5 (2) ◽  
Author(s):  
Jiaxin Wu ◽  
Pingfeng Wang
Keyword(s):  
Dynamic System ◽  
Engineering Design ◽  
Control Strategies ◽  
System Modeling ◽  
Effective Control ◽  
Disruption Management ◽  
System Control ◽  
Dynamic System Modeling ◽  
Failure Restoration ◽  
Different Characteristics

Managing potential disruptive events at the operating phase of an engineered system therefore improving the system's failure resilience is an importance yet challenging task in engineering design. The resilience of an engineered system can be improved by enhancing the failure restoration capability of the system with appropriate system control strategies. Therefore, control-guided failure restoration is an essential step in engineering design for resilience. Considering different characteristics of disruptive events and their impacts to the performance of a system, effective control strategies for the failure restoration must be selected correspondingly. However, the challenge is to develop generally applicable guiding principles for selecting effective control strategies, thus implementing the control-guided failure restorations. In this paper, a comparison of three commonly used control strategies for dynamic system control is conducted with the focus on the effectiveness of restoring system performance after the system has undergone different major disruptive events. A case study of an electricity transmission system is used to demonstrate the dynamic system modeling and the comparison of three control strategies for disruption management.

Integrating Knowledge Management with the Systems Analysis Process

2011 ◽  
pp. 621-631
Author(s):  
Doron Tauber ◽  
David G. Schwartz
Keyword(s):  
Information System ◽  
Knowledge Management ◽  
Information Systems ◽  
Management Information System ◽  
Analysis Process ◽  
Systems Research ◽  
Information Systems Research ◽  
Structured Information ◽  
Different Characteristics ◽  
The Relationship

Information systems research has clearly recognized that knowledge management systems (KMSs) have different characteristics and requirements than those of a classic management information system (MIS). Beginning with the relationship drawn between data, information, and knowledge (Alavi & Leidner, 1999, 2001; Bhatt, 2001; Ulrich, 2001; Spiegler, 2000, 2003; Tuomi, 2000), through to the essential nature of unstructured and semi-structured information vs. structured information (Wu, Ling, Lee, & Dobbie, 2001; Lai, Carlsen, Christiansson, & Svidt, 2003; Fensel et al., 2002; Chou & Chow, 2000), there are many elements and areas in which the two diverge.

Modeling and Optimizing Recovery Strategies for Power Distribution System Resilience

2020 ◽  
pp. 1-10
Author(s):  
Ali Arjomandi-Nezhad ◽  
Mahmud Fotuhi-Firuzabad ◽  
Moein Moeini-Aghtaie ◽  
Amir Safdarian ◽  
Payman Dehghanian ◽  
...  
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Power Distribution System ◽  
Recovery Strategies ◽  
System Resilience

scholarly journals Floral Consumption Values for Consumer Groups with Different Purchase Choices for Flowers

2009 ◽  
Vol 19 (3) ◽  
pp. 563-571 ◽  
Author(s):  
Li-Chun Huang ◽  
Tzu-Fang Yeh
Keyword(s):  
Information Search ◽  
Choice Behavior ◽  
Social Value ◽  
Evaluative Judgments ◽  
Consumption Values ◽  
The Social ◽  
Different Types ◽  
Commercial Communication ◽  
Different Characteristics ◽  
The Relationship

Consumption values are theoretically believed to be the antecedents of the outcomes of consumer purchase choice. In the floral market, even though the context of floral consumption values has been explored, the relationship between floral consumption values and consumer's purchase choice regarding floral products remains unknown. This study, however, seeks to address this deficiency by attempting to evaluate the differences in floral consumption values across consumer groups that have different purchase choices for floral products. After collecting data from a consumer survey, which yielded 615 valid questionnaires, the statistical results indicated that consumers who revealed different purchase choices in regard to flowers had different floral consumption values. In descending order, showing care to others, emotion conditioning, and sensory hedonics were the floral consumption values most strongly recognized by the majority of the consumers. However, heavy users of flowers revealed different characteristics in that they more strongly recognized the psychological value of emotion conditioning rather than the social value of showing care to others. The main difference across consumer groups that had purchased flowers with different frequencies or that preferred to buy different types of flowers had to do with the epistemic value (i.e., curiosity fulfillment). The results of this study imply that consumers who have different choice behavior toward flowers possess different evaluative judgments in regard to floral products. Such differences not only lead consumers to have different purchase choices in regard to flowers, but are also very likely to influence the consumer's behavior in regard to information search and variety seeking in the floral market, which in turn, impacts the effectiveness of commercial communication in the floral market.

scholarly journals Estimation of Phase Angle Jump (PAJ) for Different Types of Faults and Unbalancing in Distribution System

2018 ◽  
Vol 7 (4.38) ◽  
pp. 23 ◽  
Author(s):  
Muhammad Fawad Shaikh ◽  
Madad Ali Shah ◽  
Sunny Katyara ◽  
Bhawani Shankar Chowdhry
Keyword(s):  
Phase Angle ◽  
Power Supply ◽  
Distribution System ◽  
Research Work ◽  
Voltage Sag ◽  
Voltage Unbalance ◽  
Voltage Drops ◽  
Different Types ◽  
Zero Sequence ◽  
Types Of Faults

Voltage sag caused by the faults in the power system has serious power quality issues and sometimes leads to interruption of power supply. The characteristics of voltage sag are its magnitude, time and phase angle jump (PAJ). This paper represents the estimation of phase angle jump (PAJ) when different types of faults are occurred in distribution system. Since the unbalancing is one of the major issues in distribution system that increases the zero sequence currents, over heats the distribution transformer, causes huge voltage drops in distributor etc. Therefore, the method used in this paper shows the PAJ when distributor is unbalance due to uneven loading or the line parameters of the distributor are unsymmetrical. Simple radial system is used to analyze the PAJ caused by the different types of faults and unbalancing. Different comparisons are made that are associated with PAJ such as PAJ vs fault impedance, zero sequence current and percentage of voltage unbalance. The research work is performed on MATLAB/SIMULINK to analyze the real time results.  

scholarly journals Learning Style Dimensions and Professional Characteristics of Academic Librarians

2015 ◽  
Vol 76 (4) ◽  
pp. 450-468
Author(s):  
Amanda Rinehart ◽  
Jennifer Sharkey ◽  
Chad Kahl
Keyword(s):  
Learning Styles ◽  
Interpersonal Communication ◽  
Learning Style ◽  
Staff Training ◽  
Teaching Styles ◽  
Academic Librarians ◽  
Professional Characteristics ◽  
Index Of Learning Styles ◽  
Different Types ◽  
Different Characteristics

Do librarians with different characteristics, such as type of work responsibilities or age, have different learning styles? The authors analyzed results from over 1,500 responses to a version of the Index of Learning Styles (ILS) questionnaire based on the Felder-Silverman Learning Styles model. This model consists of eight dimensions paired on four scales: Active/Reflective; Sensing/Intuitive; Visual/Verbal; and Sequential/Global. In addition to their scores on the ILS questionnaire, respondents were also asked about demographic and professional characteristics. Statistically significant differences in learning style scores were found to exist between librarians with different types of position responsibilities. In particular, for three out of four scales, catalogers have statistically different learning styles than other librarian groups. Recognition of different learning styles and thoughtful integration of appropriate teaching styles may improve workplace interpersonal communication, enhance professional development and staff training, and strengthen teaching.

Identification of new odorous compounds in Swedish water: mixed haloanisoles and phenolic precursors

2007 ◽  
Vol 55 (5) ◽  
pp. 185-193 ◽  
Author(s):  
E. Corbi ◽  
D. Benanou ◽  
J. Cantet ◽  
J.C. Tabet
Keyword(s):  
Residence Time ◽  
Distribution System ◽  
Tap Water ◽  
Critical Factors ◽  
Different Types ◽  
Different Seasons ◽  
Odour Threshold ◽  
Odorous Compounds

Mixed chlorobromoanisoles have recently been recognized as new potential odorous compounds in tap water. The odour threshold concentrations (OTCs) of these compounds are close to the sub ng/L (ppt) and associated descriptors are “earthy, musty, rubber”. During a “swampy, musty” episode in water of the Norrtälje district (Sweden), 2,4,6-mixed chlorobromoanisoles and their phenolic precursors were identified. These compounds were synthesised in order to quantify them in different types of waters. Samplings were performed during two different seasons. Results show that whatever the season, mixed haloanisoles and their precursors were present. Chlorination, biofilm activity and residence time in the distribution system seem to be critical factors for the appearance of such compounds.

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