Centralized Disturbance Detection in Smart Microgrids With Noisy and Intermittent Synchrophasor Data

Seyedi, Younes; Karimi, Houshang; Guerrero, Josep M.

doi:10.1109/tsg.2016.2539947

Cited by 38 publications

(12 citation statements)

References 33 publications

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“…The control strategy of microgrids works on the basis of a hierarchical control scheme, that includes primary/inner controllers and secondary and tertiary control levels [5]- [7]. Previous secondary control strategies were proposed based on centralized control (with low reliability) [8], [9], decentralized control (with high reliability and reasonable cost) [4]- [7], [10], [11] and distributed control (with high reliability and low cost) [12]- [22]. The idea of distributed control is inspired partly by the idea of cooperative control for multi-agent systems (MASs) and is based on communication among local controllers (LC) that share information with neighboring units via local communication networks [23], [24].…”

Section: A Motivation and Incitementmentioning

confidence: 99%

Distributed Noise-Resilient Secondary Voltage and Frequency Control for Islanded Microgrids

Dehkordi

Baghaee

Sadati

et al. 2019

IEEE Trans. Smart Grid

Self Cite

165

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This paper proposes a novel distributed noiseresilient secondary control for voltage and frequency restoration of islanded microgrid inverter-based distributed generations (DGs) with an additive type of noise. The existing distributed methods commonly are designed as secondary control system systems that operate on the assumption of ideal communication networks among DGs. However, the channels are prone to stochastic noise, whereas each DG obtains noisy measurements of the states of its neighbors via environmental noises. The existing distributed noise-resilient methods, ignore a complete model of the system. In contrast, this paper proposes consensus protocols that take into account both the noisy measurements and a complete nonlinear model of the system, examines the meansquare average consensus for voltage and frequency restoration of islanded AC microgrids in an uncertain environment, and provides accurate proportional real power sharing. Our proposed consensus protocol contains two parts: the state feedback of the agent and the relative states of the DG and its neighboring DGs. Finally, simulation studies are carried out in MATLAB/SimPowerSystems to evaluate the performance of the control laws. Simulation results and comparison with previous work reveals the effectiveness of the proposed method in regulating microgrid voltage and frequency and providing accurate proportional real power sharing.

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Section: A Motivation and Incitementmentioning

confidence: 99%

Distributed Noise-Resilient Secondary Voltage and Frequency Control for Islanded Microgrids

Dehkordi

Baghaee

Sadati

et al. 2019

IEEE Trans. Smart Grid

Self Cite

165

View full text Add to dashboard Cite

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“…Current serial communications deployed in SCADA systems refer to a set of legacy standards that are still used for low data rate applications and asynchronous bit transfer. Since microgrid operations need timely control actions, a Real-Time Measurement Parameters (RTMP) function is required [21]. To reach this goal, it´s mandatory to know which bandwidth and which latency (delay) can tolerate each microgrid application [22], [23], i.e., each microgrid function has its own latency and bandwidth requirement depending on the kind of system response it´s dealing with [12], [24], [25].…”

Section: Towards An Intelligent Microgridmentioning

confidence: 99%

Current challenges and future trends in the field of communication architectures for microgrids

Marzal

Salas

González-Medina

et al. 2018

Renewable and Sustainable Energy Reviews

109

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The concept of microgrid has emerged as a feasible answer to cope with the increasing number of distributed renewable energy sources which are being introduced into the electrical grid. The microgrid communication network should guarantee a complete and bidirectional connectivity among the microgrid resources, a high reliability and a feasible interoperability. This is in a contrast to the current electrical grid structure which is characterized by the lack of connectivity, being a centralized-unidirectional system. In this paper a review of the microgrids information and communication technologies (ICT) is shown. In addition, a guideline for the transition from the current communication systems to the future generation of microgrid communications is provided. This paper contains a systematic review of the most suitable communication network topologies, technologies and protocols for smart microgrids. It is concluded that a new generation of peer-to-peer communication systems is required towards a dynamic smart microgrid. Potential future research about communications of the next microgrid generation is also identified.

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“…To control and monitor the intelligent microgrid, a Real-Time Measurement Parameters (RTMP) function is required [69,70]. To reach this objective, it is mandatory to know what bandwidth (used to signify the data rate in bits/second) and what latency (delay) the transmitted data may have among the microgrid components (DERs) for each microgrid function [71][72][73].…”

Section: Network Requirements For Smart Microgridsmentioning

confidence: 99%

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

et al. 2017

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Peer-to-Peer (P2P) overlay communications networks have emerged as a new paradigm for implementing distributed services in microgrids due to their potential benefits: they are robust, scalable, fault-tolerant, and they can route messages even when a large number of nodes are frequently entering or leaving the network. However, current P2P systems have been mainly developed for file sharing or cycle sharing applications where the processes of searching and managing resources are not optimized. Locality algorithms have gained a lot of attention due to their potential to provide an optimized path to groups with similar interests for routing messages in order to achieve better network performance. This paper develops a fully functional decentralized communication architecture with a new P2P locality algorithm and a specific protocol for monitoring and control of microgrids. Experimental results show that the proposed locality algorithm reduces the number of lookup messages and the lookup delay time. Moreover, the proposed communication architecture heavily depends of the lookup used algorithm as well as the placement of the communication layers within the architecture. Experimental results will show that the proposed techniques meet the network requirements of smart microgrids, even with a large number of nodes on stream.

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Centralized Disturbance Detection in Smart Microgrids With Noisy and Intermittent Synchrophasor Data

Cited by 38 publications

References 33 publications

Distributed Noise-Resilient Secondary Voltage and Frequency Control for Islanded Microgrids

Distributed Noise-Resilient Secondary Voltage and Frequency Control for Islanded Microgrids

Current challenges and future trends in the field of communication architectures for microgrids

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

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