Resilient Distributed DC Optimal Power Flow Against Data Integrity Attack

Duan, Jie; Zeng, Wente; Chow, Mo-Yuen

doi:10.1109/tsg.2016.2633943

Cited by 82 publications

(35 citation statements)

References 36 publications

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“…Such a strategy combined with a proper observation networks can effectively monitor the behaviors of all neighbors and isolate the misbehaving DGs coming from non-colluding cyber-attacks. Additionally, a resilient distributed algorithm is proposed in [150] to solve DC optimal power flow issue against data integrity attacks. In these two papers, the consensus conception is utilized to estimate the utilization ratios of DGs in [148] by introducing a virtual power plant, and estimate the bus power imbalance in [150] by adopting the primal-dual decomposition method.…”

Section: Distributed Security Control and Filteringmentioning

confidence: 99%

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Ding

Han

Wang

et al. 2019

IEEE Trans. Ind. Inf.

430

124

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Industrial cyber-physical systems (CPSs) are largescale, geographically dispersed and life-critical systems, in which lots of sensors and actuators are embedded and networked together to facilitate real-time monitoring and closed-loop control. Their intrinsic features in geographic space and resources put forward to urgent requirements of reliability and scalability for designed filtering or control schemes. This paper presents a review of the state-of-the-art of distributed filtering and control of industrial CPSs described by differential dynamics models. Special attention is paid to sensor networks, manipulators and power systems. For real-time monitoring, some typical Kalmanbased distributed algorithms are summarized and their performances on calculation burden, communication burden as well as scalability are discussed in depth. Then, the characteristics of non-Kalman cases are further disclosed in light of constructed filter structures. Furthermore, the latest development is surveyed for distributed cooperative control of mobile manipulators and distributed model predictive control in industrial automation systems. By resorting to droop characteristics, representative distributed control strategies classified by controller structures are systematically summarized for power systems with the requirements of power sharing, and voltage and frequency regulation. In addition, distributed security control of industrial CPSs is reviewed when cyber-attacks are taken into consideration. Finally, some challenges are raised to guide the future research. Index Terms-Industrial cyber-physical systems; distributed filtering; distributed control; power schedule; droop characteristics. I. INDUSTRIAL CYBER-PHYSICAL SYSTEMS A cyber-physical system (CPS), a fast-growing research area, is a highly integrated system of physical components involving sensors, actuators and various equipments, as well as cyber possessing ubiquitous computation and efficient communication. From the engineering point of view, CPSs are considered as the most promising industrial systems including transportation networks, energy systems, water/gas distribution networks, and unmanned factories. For example, multiple industrial robots with an inertial navigation device or various sensors are programmed for the movement along a programmed trajectory to cooperatively complete production tasks [1], [2]. The main advantage of these systems is that the tight

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Section: Distributed Security Control and Filteringmentioning

confidence: 99%

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Ding

Han

Wang

et al. 2019

IEEE Trans. Ind. Inf.

430

124

View full text Add to dashboard Cite

show abstract

“…As a privacy enhancement methods [1,67,76] use DLP-based encryption systems, which have a comparatively high computational complexity. In [77], nodes embedded with distributed controllers coordinate with neighboring peers in order to find the optimal operating data, such as instantaneous consumption power. In doing so, they transmit plaintext information, and therefore, none of the common cryptographic techniques is applied.…”

Section: Comparison With the State-of-the-art Privacy And Trading Sysmentioning

confidence: 99%

“…In [11], employing a large number of anonymous addresses is part of the solution for privacy attainment, contrary to our framework and to the discussion of Section 2.3. The address of each SM is disclosed in [76] and in the proposed framework only to a central controller, while in [77], it is disclosed only to one-hop nodes. Interested parties can possibly be identified as such by a malicious observer in all compared systems by means of traffic analysis or address de-anonymization, i.e., an observer can identify the role of a participant by such attacks, while in our system, it is completely avoided.…”

Section: Comparison With the State-of-the-art Privacy And Trading Sysmentioning

confidence: 99%

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

Milanezi

Costa

Garcez

et al. 2020

Sensors

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Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding user's electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumers' identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128 bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design.2 of 25 consists of obfuscating the instantaneous consumption pattern of each consumer [5,6]. This is generally accomplished by hiding the instantaneous power consumption of the client as fine-grained data can reveal in detail the lifestyle of the consumer [7,8]. However, the profile of traded energy also delivers relevant information about prosumers to their neighbors. As in [9], the ability to link the bids to individual consumers allows the untrusted entity to build up a profile of the consumer's behavior. In particular, the quantities of traded energy can be very informative about the economical welfare of the owner [10]. Privacy requirements dictate that prosumers cannot gain information regarding other prosumers' consumption and production-not even if they are trade partners [11]. Models dealing with energy trade directly among prosumers [3,12] limit themselves to exploiting the trade environment without discussing in detail data-security aspects related to the identities of the traders in relation to their neighbors. As a consequence, several topics related to privacy requirements are still open in SGs, such as power production and bidding in trading systems.In this paper, we consider the problem of providing data privacy for self-interested players that trade energy in the context of a Neighborhood Area Network (NAN). The energy is sold by local micro-generators and locally purchased by their neighbors, also known as the final users. Our framework deals simultaneously with SG data-security requirements and energy-trade systems. As a first contribution, the proposed framework has a privacy-preserving model which has a low computational complexity and avoids completely an unauthorized party to identify the bidders, ...

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“…Duan et al 83 addresses the vulnerability of the distributed DC optimal power flow (DC-OPF) algorithm to data integrity attacks. Duan et al 83 addresses the vulnerability of the distributed DC optimal power flow (DC-OPF) algorithm to data integrity attacks.…”

Section: Security and Reliabilitymentioning

confidence: 99%

“…Data integrity attacks have to be guarded against in smart grids. Duan et al 83 addresses the vulnerability of the distributed DC optimal power flow (DC-OPF) algorithm to data integrity attacks. There is a growing need for anomaly detection and mitigation mechanisms that fit into the distributed power system framework to counteract highly skilled malicious cyber attackers.…”

Section: Security and Reliabilitymentioning

confidence: 99%

A review on the features and technologies for energy efficiency of smart grid

Anjana¹,

Shaji

2017

Int J Energy Res

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Summary In today's world striving for efficiency in every sector, especially power generation and distribution, smart grids emerge as the solution for efficiently meeting the increasing demand. They adjust themselves to optimally deliver energy at the lowest cost and highest quality possible. The grid successfully makes use of renewable energy resources, electric vehicles, and smart pricing techniques in its attempt to achieve energy efficiency. It also promotes a greener environment by striving to reduce greenhouse gas emissions. Information communication technology (ICT) helps the grid in collecting consumption data from the consumers and in sharing tariff information. ICT also helps to gather information about the status of the grid with regard to aspects like power quality, faults etc. The purpose of this paper is to review recent literature with a view to comprehensively present the technologies employed in the smart grid for achieving energy efficiency and the challenges involved therein.

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Resilient Distributed DC Optimal Power Flow Against Data Integrity Attack

Cited by 82 publications

References 36 publications

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks

A review on the features and technologies for energy efficiency of smart grid

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