2016 conference paper

An attack-resilient distributed DC optimal power flow algorithm via neighborhood monitoring

2016 ieee power and energy society general meeting (pesgm).

By: J. Duan n, W. Zeng n & M. Chow n

TL;DR: This paper proposed a resilient distributed DC-OPF algorithm against data integrity attacks by using a neighborhood monitoring scheme that is an efficient approach to deal with significant increasing amount of distributed energy resources (DERs) thanks to its flexibility and scalability. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Attack detection and mitigation for resilient distributed DC optimal power flow in the IoT environment

Proceedings of the ieee international symposium on industrial, 606–611.

By: J. Duan n, W. Zeng n & M. Chow n

TL;DR: This paper deals with the data integrity attack and develops an attack detection and mitigation method that could fit into the IoT environment to secure the distributed DC-OPF algorithm. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Resilient cooperative distributed energy scheduling against data integrity attacks

Proceedings of the iecon 2016 - 42nd annual conference of the ieee industrial electronics society, 4941–4946.

By: J. Duan n, W. Zeng n & M. Chow n

TL;DR: The cooperative distributed energy scheduling (CoDES) algorithm is extended to improve its resilience against data integrity attacks and a distributed attack detection algorithm is developed to verify the state of neighboring devices without infringing their private information. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

A resilient distributed energy management algorithm for economic dispatch in the presence of misbehaving generation units

2015 Resilience Week (RSW), 12–16.

By: W. Zeng, Y. Zhang & M. Chow

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Economic benefits of plug-in electric vehicles using V2G for grid performance-based regulation service

Iecon 2015 - 41st annual conference of the ieee industrial electronics society, 4322–4327.

By: W. Zeng n, J. Gibeau* & M. Chow n

TL;DR: A comprehensive daily economic benefit model for the PEV is formulated to analyze its costs and revenues of adopting unidirectional and bidirectional V2G technologies to provide grid performance-based regulation (PBR) services. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Economic impact of data integrity attacks on distributed DC optimal power flow algorithm

2015 north american power symposium (naps).

By: J. Duan n, W. Zeng n & M. Chow n

TL;DR: The economic impact of the data integrity attack to distributed DC-OPF algorithms is studied and it is demonstrated how a malicious generator could gain more economic profit by compromising the distributed controller of its bus, modifying the information sent to neighboring buses and manipulating the power dispatch commands. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Green city: A low-cost testbed for distributed control algorithms in smart grid

Iecon 2015 - 41st annual conference of the ieee industrial electronics society, 1948–1953.

By: A. Becerra*, W. Zeng n, M. Chow n & J. Rodriiuez-Andina

TL;DR: The Green City (GC) testbed is proposed as a suitable platform for both control theory researchers in Smart Grid, and for engineering education, allowing students to learn through hands-on experiences. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Resilient Distributed Energy Management Subject to Unexpected Misbehaving Generation Units

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 13(1), 208–216.

By: W. Zeng n, Y. Zhang n & M. Chow n

author keywords: Economic dispatch; neighborhood-watch; resilient distributed energy management
TL;DR: A neighborhood-watch-based distributed energy management algorithm is proposed to guarantee the accurate control computation in solving the economic dispatch problem in the presence of compromised generation units and achieves the system resilience by performing a reliable distributed control without a central coordinator and allowing all the well-behaving generation units to reach the optimal operating point asymptotically. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (Web of Science; OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2014 journal article

A Reputation-Based Secure Distributed Control Methodology in D-NCS

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 61(11), 6294–6303.

By: W. Zeng n & M. Chow n

author keywords: Distributed networked control systems (D-NCSs); multirobot system; secure distributed control
TL;DR: A reputation-based secure distributed control methodology with built-in defense is proposed to achieve accurate consensus computation in the presence of misbehaving robots. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2014 journal article

Resilient Distributed Control in the Presence of Misbehaving Agents in Networked Control Systems

IEEE TRANSACTIONS ON CYBERNETICS, 44(11), 2038–2049.

By: W. Zeng n & M. Chow n

author keywords: Consensus network; networked control systems (NCS); reputation system; resilient distributed control
TL;DR: A reputation-based resilient distributed control algorithm is first proposed for the leader-follower consensus network and extended to the leaderless consensus network by introducing and adding two recovery schemes into the current framework to guarantee the accurate convergence of the well-behaving agents in NCS. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2013 conference paper

Convergence and recovery analysis of the secure distributed control methodology for D-NCS

2013 IEEE International Symposium on Industrial Electronics (ISIE).

By: W. Zeng n & M. Chow n

TL;DR: This work continues the work on a proposed secure distributed control methodology that is capable of performing a secure consensus computation in D-NCS in the presence of misbehaving agents, and extends the methodology to the leaderless consensus network. (via Semantic Scholar)
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Source: NC State University Libraries
Added: August 6, 2018

2012 conference paper

CGA based performance-security trade-off optimization in a networked DC motor system

2012 IEEE International Symposium on Industrial Electronics (ISIE), 1834–1839.

By: W. Zeng n & M. Chow n

TL;DR: This paper presents a trade-off model for performance and security on NCS using a networked DC Motor system as an example and proposes a framework of performance-security trade-offs optimization based on Coevolutionary Genetic Algorithm (CGA). (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2012 journal article

Modeling and Optimizing the Performance-Security Tradeoff on D-NCS Using the Coevolutionary Paradigm

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 9(1), 394–402.

By: W. Zeng n & M. Chow n

author keywords: Coevolutionary genetic algorithm (CGA); distributed networked control systems (D-NCS); iSpace
TL;DR: A paradigm of the performance-security tradeoff optimization based on the coevolutionary genetic algorithm (CGA) for D-NCS is proposed and the results of the simulation show that the CGA can efficiently find the optimal values in a performance- security tradeoff model for D -NCS. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 conference paper

Secure distributed control in unreliable D-NCS

2012 IEEE International Symposium on Industrial Electronics (ISIE), 1858–1863.

By: W. Zeng n, M. Chow n & P. Ning n

TL;DR: This paper considers the case of formation control in a multi-robot system using the linear consensus algorithm, and it model the malicious attack as an exogenous input that compromises the behavior of a single robot in this multi- robot system. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

2011 journal article

A Survey on the Electrification of Transportation in a Smart Grid Environment

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 8(1), 1–10.

By: W. Su n, H. Rahimi-Eichi n, W. Zeng n & M. Chow n

author keywords: Battery; charging infrastructure; communication; electric vehicle (EV); energy management; plug-in electric vehicle (PEV); plug-in hybrid electric vehicle (PHEV); smart grid; vehicle-to-grid (V2G)
TL;DR: This paper presents a future perspective of industrial information technologies to accelerate the market introduction and penetration of advanced electric drive vehicles and provides a comprehensive survey of the EVs in the field of industrial informatics systems. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

2011 conference paper

A trade-off model for performance and security in secured networked control systems

2011 IEEE International Symposium on Industrial Electronics (ISIE).

By: W. Zeng n & M. Chow n

TL;DR: A trade-off model for system dynamic performance and system security can be used to adapt security configurations to provide sufficient protection and satisfy real-time dynamic performance requirements of the NCS simultaneously. (via Semantic Scholar)
Source: NC State University Libraries
Added: August 6, 2018

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.