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Dr. Houshang Karimi
Department of Electrical, Engineering, Polytechnique Montreal, Montreal H3T 1J4, Canada

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0 Power Quality
0 Power Systems
0 Robust Control
0 Smart Grid
0 Control systems

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Short Biography

Houshang Karimi (M’07-SM’12) received his Ph.D. degree in Electrical Engineering from the University of Toronto, Toronto, ON, Canada, in 2007. From 2009 to 2012, he was an Assistant Professor at the Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran. In 2013, he joined the Department of Electrical Engineering, Polytechnique Montreal, Montreal, QC, Canada, where he is currently an Associate Professor. His research interests include control systems, microgrid control, and smart grids.

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Journal article
Published: 27 July 2021 in Energies
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This paper presents a vector current controller (in the synchronous reference, or the dq, frame) with negative-sequence current injection capability for three-phase grid-connected converters. This capability is desired for the operation of the converter during unbalanced conditions and also for a certain type of islanding detection. The proposed controller first determines the double-frequency current references and then uses a sixth-order two-input two-output proportional-integral-resonance (PIR) structure, which is optimally designed. Compared with the existing similar approaches, the proposed controller has a simpler structure and more robust performance, e.g., against system parameter uncertainties and weak grid conditions. The proposed controller is developed for converters with both the L-type and LCL-type filters. For the LCL-type converter, a suboptimal partial state feedback control is also proposed to achieve robust stability and active damping of resonance poles without requiring additional sensors. Detailed experimental results are presented to illustrate the properties and performances of the proposed controller.

ACS Style

Houshang Karimi; Aboutaleb Haddadi; Masoud Karimi-Ghartemani; Mahdieh Sadabadi. A Robust Vector Current Controller with Negative-Sequence Current Capability for Grid-Connected Inverters. Energies 2021, 14, 4549 .

AMA Style

Houshang Karimi, Aboutaleb Haddadi, Masoud Karimi-Ghartemani, Mahdieh Sadabadi. A Robust Vector Current Controller with Negative-Sequence Current Capability for Grid-Connected Inverters. Energies. 2021; 14 (15):4549.

Chicago/Turabian Style

Houshang Karimi; Aboutaleb Haddadi; Masoud Karimi-Ghartemani; Mahdieh Sadabadi. 2021. "A Robust Vector Current Controller with Negative-Sequence Current Capability for Grid-Connected Inverters." Energies 14, no. 15: 4549.

Journal article
Published: 11 May 2021 in Electric Power Systems Research
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This paper proposes a mechanism for time-frequency analysis of post-fault transient response in hybrid AC/DC microgrids. The proposed mechanism is based on the continuous wavelet transform of the electromagnetic transient (EMT) simulation data in grid-connected and islanded modes of operation. The proposed mechanism is used to evaluate the impact of fault parameters on the post-fault voltage recovery and to estimate the critical clearance time of the faults. Moreover, a simulation benchmark is developed that involves different types of distributed energy resources (DERs) including solar photovoltaic (PV), wind, and battery energy storage systems. The developed microgrid benchmark is implemented in EMTP software and extensive simulation results are analyzed to obtain insights into the voltage recovery and transient response of hybrid AC/DC microgrid subject to faults.

ACS Style

Younes Seyedi; Jean Mahseredjian; Houshang Karimi. Impact of fault impedance and duration on transient response of hybrid AC/DC microgrid. Electric Power Systems Research 2021, 197, 107298 .

AMA Style

Younes Seyedi, Jean Mahseredjian, Houshang Karimi. Impact of fault impedance and duration on transient response of hybrid AC/DC microgrid. Electric Power Systems Research. 2021; 197 ():107298.

Chicago/Turabian Style

Younes Seyedi; Jean Mahseredjian; Houshang Karimi. 2021. "Impact of fault impedance and duration on transient response of hybrid AC/DC microgrid." Electric Power Systems Research 197, no. : 107298.

Journal article
Published: 22 December 2020 in IEEE Transactions on Smart Grid
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Phasor data concentrators (PDCs) are essential functions in synchrophasor networks that collect and aggregate phasor measurement unit (PMU) data from across the electric grid. PDC buffers synchrophasor datasets during the “wait time” period, then communicates them to target applications or higher-level PDCs in hierarchy. The time-varying and inherent uncertain nature of communication latencies limits the performance of PDCs especially for applications with hard time constraints. Moreover, the accumulation of latencies in the hierarchy significantly complicates the process of PDC optimal wait time assessment and PDCs coordination. In this paper, a method for the optimal coordination of PDCs in synchrophasor networks is proposed. A mathematical model of the hierarchy synchrophasor scheme that incorporates both the “absolute” and “relative” wait time policies required by the IEEE Standard C37.247TM-2019 is presented. The wait times are optimally designed in order to achieve maximum application throughput and grid observability within the time constraints. The performance of the proposed method is verified using realistic PMU data.

ACS Style

Reza Pourramezan; Houshang Karimi; Mario Paolone; Jean Mahseredjian. Optimal Coordination of Phasor Data Concentrators in Hierarchical Synchrophasor Networks. IEEE Transactions on Smart Grid 2020, 12, 2402 -2412.

AMA Style

Reza Pourramezan, Houshang Karimi, Mario Paolone, Jean Mahseredjian. Optimal Coordination of Phasor Data Concentrators in Hierarchical Synchrophasor Networks. IEEE Transactions on Smart Grid. 2020; 12 (3):2402-2412.

Chicago/Turabian Style

Reza Pourramezan; Houshang Karimi; Mario Paolone; Jean Mahseredjian. 2020. "Optimal Coordination of Phasor Data Concentrators in Hierarchical Synchrophasor Networks." IEEE Transactions on Smart Grid 12, no. 3: 2402-2412.

Journal article
Published: 29 October 2020 in IEEE Transactions on Smart Grid
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In this paper, the resilience of a coordinated control system for a set of PV-based distributed energy resources (DERs) against false data injection (FDI) attacks is evaluated. The evaluation is performed using a functional mock-up interface (FMI)-compatible cosimulation platform which enables the interaction of multi-domain simulators (EMTP, MATLAB/Simulink, and NS-3). The cosimulation platform permits rigorous analysis of cybersecurity through detailed modeling of all system components. The DER coordinated control and communication systems implemented on the IEEE-34 bus benchmark consist of measurement, control and monitoring components including substation central controller, DER local controllers, synchrophasor network and advanced metering infrastructure (AMI). Some DERs are equipped with an energy storage system (ESS) and coordinated by the central control unit in order to correct voltage disturbances resulting from the intermittent solar photovoltaic (PV) generation. The FDI attack targets the AMI system and aims at manipulating the load profile messages reported by the smart meter collector, thus yielding a central control failure. To detect the attacks and mitigate their impacts, a neural network-based algorithm is proposed and incorporated in the central control unit. The effectiveness of the proposed detection and mitigation algorithm is confirmed through simulations using the proposed FMI-compatible cosimulation platform.

ACS Style

Danial Jafarigiv; Keyhan Sheshyekani; Marthe Kassouf; Younes Seyedi; Houshang Karimi; Jean Mahseredjian. Countering FDI Attacks on DERs Coordinated Control System Using FMI-Compatible Cosimulation. IEEE Transactions on Smart Grid 2020, 12, 1640 -1650.

AMA Style

Danial Jafarigiv, Keyhan Sheshyekani, Marthe Kassouf, Younes Seyedi, Houshang Karimi, Jean Mahseredjian. Countering FDI Attacks on DERs Coordinated Control System Using FMI-Compatible Cosimulation. IEEE Transactions on Smart Grid. 2020; 12 (2):1640-1650.

Chicago/Turabian Style

Danial Jafarigiv; Keyhan Sheshyekani; Marthe Kassouf; Younes Seyedi; Houshang Karimi; Jean Mahseredjian. 2020. "Countering FDI Attacks on DERs Coordinated Control System Using FMI-Compatible Cosimulation." IEEE Transactions on Smart Grid 12, no. 2: 1640-1650.

Journal article
Published: 12 May 2020 in IEEE Transactions on Smart Grid
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ACS Style

Younes Seyedi; Houshang Karimi; Constant Wette; Brunilde Sanso. A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids. IEEE Transactions on Smart Grid 2020, 11, 4415 -4426.

AMA Style

Younes Seyedi, Houshang Karimi, Constant Wette, Brunilde Sanso. A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids. IEEE Transactions on Smart Grid. 2020; 11 (5):4415-4426.

Chicago/Turabian Style

Younes Seyedi; Houshang Karimi; Constant Wette; Brunilde Sanso. 2020. "A New Approach to Reliability Assessment and Improvement of Synchrophasor Communications in Smart Grids." IEEE Transactions on Smart Grid 11, no. 5: 4415-4426.

Journal article
Published: 11 February 2020 in IEEE Transactions on Industrial Informatics
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ACS Style

Danial Jafarigiv; Keyhan Sheshyekani; Houshang Karimi; Jean Mahseredjian. A Scalable FMI-Compatible Cosimulation Platform for Synchrophasor Network Studies. IEEE Transactions on Industrial Informatics 2020, 17, 270 -279.

AMA Style

Danial Jafarigiv, Keyhan Sheshyekani, Houshang Karimi, Jean Mahseredjian. A Scalable FMI-Compatible Cosimulation Platform for Synchrophasor Network Studies. IEEE Transactions on Industrial Informatics. 2020; 17 (1):270-279.

Chicago/Turabian Style

Danial Jafarigiv; Keyhan Sheshyekani; Houshang Karimi; Jean Mahseredjian. 2020. "A Scalable FMI-Compatible Cosimulation Platform for Synchrophasor Network Studies." IEEE Transactions on Industrial Informatics 17, no. 1: 270-279.

Journal article
Published: 22 January 2020 in IEEE Transactions on Smart Grid
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This paper proposes a real-time algorithm for processing and quality improvement of synchrophasor data (SD). The proposed algorithm first recovers the missing SD reported by phasor measurement units (PMUs), and performs low-rank approximation on data streams. Then, the enhanced data stream can be redirected toward various power system applications. The nonconvex matrix completion (MC) method with Schatten-q quasi-norm (lq) penalty is used to recover the missing SD in real-time. Unlike most MC methods which have been developed for batch data processing, the proposed method is able to perform fast recovery of streaming data even for high reporting rates of PMU data. The low-rank approximation method is used to suppress the noise of the streaming SD, and to efficiently compress the batch data for archiving. Real-life PMU data as well as simulation data are used to evaluate the performance of the proposed algorithms. The results obtained using both real experimental and simulation SD confirm that the proposed SD processing framework significantly improves the quality of data, particularly during transient conditions and in noisy environments.

ACS Style

Reza Pourramezan; Houshang Karimi; Jean Mahseredjian; Mario Paolone. Real-Time Processing and Quality Improvement of Synchrophasor Data. IEEE Transactions on Smart Grid 2020, 11, 3313 -3324.

AMA Style

Reza Pourramezan, Houshang Karimi, Jean Mahseredjian, Mario Paolone. Real-Time Processing and Quality Improvement of Synchrophasor Data. IEEE Transactions on Smart Grid. 2020; 11 (4):3313-3324.

Chicago/Turabian Style

Reza Pourramezan; Houshang Karimi; Jean Mahseredjian; Mario Paolone. 2020. "Real-Time Processing and Quality Improvement of Synchrophasor Data." IEEE Transactions on Smart Grid 11, no. 4: 3313-3324.

Article
Published: 01 October 2019 in Journal of Modern Power Systems and Clean Energy
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This paper proposes a robust controller to improve power system stability and mitigate subsynchronous interaction (SSI) between doubly-fed induction generator (DFIG)-based wind farms and series compensated transmission lines. A robust stability analysis is first carried out to show the impact of uncertainties on the SSI phenomenon. The uncertainties are mainly due to the changes in the power system impedance (e.g., transmission line outages) and the variations of wind farm operating conditions. Then, using the µ-synthesis technique, a robust SSI damping controller is designed and augmented to the DFIG control system to effectively damp the SSI oscillations. The output signals of the supplementary controller are dynamically limited to avoid saturating the converters and to provide DFIG with the desired fault-ride-through (FRT) operation during power system faults. The proposed controller is designed for a realistic test system with multiple series capacitor compensated lines. The frequency of the unstable SSI mode varies over a wide range due to the changes in power system topologies and wind farm operating conditions. The performance of the proposed controller is verified through electromagnetic transient (EMT) simulations using a detailed wind farm model. Simulation results also confirm the grid compliant operation of the DFIG.

ACS Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Jean Mahseredjian. Robust subsynchronous interaction damping controller for DFIG-based wind farms. Journal of Modern Power Systems and Clean Energy 2019, 7, 1663 -1674.

AMA Style

Mohsen Ghafouri, Ulas Karaagac, Houshang Karimi, Jean Mahseredjian. Robust subsynchronous interaction damping controller for DFIG-based wind farms. Journal of Modern Power Systems and Clean Energy. 2019; 7 (6):1663-1674.

Chicago/Turabian Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Jean Mahseredjian. 2019. "Robust subsynchronous interaction damping controller for DFIG-based wind farms." Journal of Modern Power Systems and Clean Energy 7, no. 6: 1663-1674.

Journal article
Published: 19 August 2019 in IEEE Transactions on Industrial Informatics
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Distributed energy resources (DERs) often rely on renewable sources whose random power fluctuations bring about voltage disturbances in distribution networks. Under such circumstances, voltage regulation through centralized control of DERs requires reliable detection and coordination mechanisms. This paper proposes a new data-driven approach for event-triggered and coordinated control of DERs based on features of voltage disturbances. Synchrophasor datasets are processed to construct disturbance matrices which quantify spatio-temporal features of voltage disturbances. The estimated features are employed in clustering and control of DERs to suppress incipient events before exceeding a critical time. The proposed approach is tested in the IEEE 123-bus network which has 15 solar photovoltaic (PV) sources with battery energy storage systems. The simulation results validate reliability and efficiency of the proposed method, and confirm that feature extraction combined with coordination of DERs can improve reliable and economic operation of distribution grids with renewables.

ACS Style

Younes Seyedi; Houshang Karimi; Filippo Malandra; Brunilde Sanso; Jean Mahseredjian. Coordinated Control of Distributed Energy Resources Using Features of Voltage Disturbances. IEEE Transactions on Industrial Informatics 2019, 16, 3895 -3904.

AMA Style

Younes Seyedi, Houshang Karimi, Filippo Malandra, Brunilde Sanso, Jean Mahseredjian. Coordinated Control of Distributed Energy Resources Using Features of Voltage Disturbances. IEEE Transactions on Industrial Informatics. 2019; 16 (6):3895-3904.

Chicago/Turabian Style

Younes Seyedi; Houshang Karimi; Filippo Malandra; Brunilde Sanso; Jean Mahseredjian. 2019. "Coordinated Control of Distributed Energy Resources Using Features of Voltage Disturbances." IEEE Transactions on Industrial Informatics 16, no. 6: 3895-3904.

Journal article
Published: 29 January 2019 in IEEE Transactions on Power Electronics
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This paper proposes a new and robust control strategy for distributed energy resource (DER) units operating in parallel with a three-phase ac grid that could have unbalance voltages. It is well known that the grid imbalance imposes double-frequency ripples on the dc side capacitor and low-order harmonics on the ac side of a voltage source converter (VSC) widely used to interface the DERs with the grid. The proposed controller is able to overcome both problems. This not only improves the power quality and stability aspects of the DER and overall system, but will also help reduce the size of the dc-side capacitor. The proposed controller belongs to the family of current controllers and can in principle be added as an upgrade to the existing current controllers. Mathematical analysis and optimal control design aspects are presented and then the performance of the proposed controller is evaluated by various simulation scenarios and hardware-in-the-loop experiments.

ACS Style

Houshang Karimi; Masoud Karimi-Ghartemani; Keyhan Sheshyekani. Robust Control of Three-Phase Voltage Source Converters Under Unbalanced Grid Conditions. IEEE Transactions on Power Electronics 2019, 34, 11278 -11289.

AMA Style

Houshang Karimi, Masoud Karimi-Ghartemani, Keyhan Sheshyekani. Robust Control of Three-Phase Voltage Source Converters Under Unbalanced Grid Conditions. IEEE Transactions on Power Electronics. 2019; 34 (11):11278-11289.

Chicago/Turabian Style

Houshang Karimi; Masoud Karimi-Ghartemani; Keyhan Sheshyekani. 2019. "Robust Control of Three-Phase Voltage Source Converters Under Unbalanced Grid Conditions." IEEE Transactions on Power Electronics 34, no. 11: 11278-11289.

Journal article
Published: 07 January 2019 in IEEE Transactions on Power Systems
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The use of supplementary controllers for mitigating subsynchronous control interaction (SSCI) in DFIG-based wind parks is quite promising due to their low investment costs. These SSCI damping controllers are typically designed and tested using an aggregated wind turbine (WT) model that represents the entire wind park (WP). However, no research has been reported on their implementations in a realistic WP. This paper first presents various implementation schemes for a linear-quadratic regulator (LQR)-based SSCI damping controller, and discusses the corresponding practical challenges. Then, an implementation scheme which obviates the need for high rate data transfer between the WTs and the WP secondary control layer is proposed. In the proposed implementation, the SSCI damping controller receives only the WT outage information updates from the WP controller (WPC), hence it is not vulnerable to the variable communication network latency. The SSCI damping controller parameters are also modified when there is a change in WT outage information for the ultimate performance. The effectiveness of the proposed implementation scheme is confirmed with detailed electromagnetic transient (EMT) simulations, considering different wind speed at each WT and WT outages due to sudden decrease in wind speeds.

ACS Style

Mohsen Ghafouri; Ulas Karaagac; Jean Mahseredjian; Houshang Karimi. SSCI Damping Controller Design for Series-Compensated DFIG-Based Wind Parks Considering Implementation Challenges. IEEE Transactions on Power Systems 2019, 34, 2644 -2653.

AMA Style

Mohsen Ghafouri, Ulas Karaagac, Jean Mahseredjian, Houshang Karimi. SSCI Damping Controller Design for Series-Compensated DFIG-Based Wind Parks Considering Implementation Challenges. IEEE Transactions on Power Systems. 2019; 34 (4):2644-2653.

Chicago/Turabian Style

Mohsen Ghafouri; Ulas Karaagac; Jean Mahseredjian; Houshang Karimi. 2019. "SSCI Damping Controller Design for Series-Compensated DFIG-Based Wind Parks Considering Implementation Challenges." IEEE Transactions on Power Systems 34, no. 4: 2644-2653.

Journal article
Published: 22 November 2018 in IEEE Transactions on Sustainable Energy
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When voltage source converters (VSCs) are subjected to disturbances or faults, they may not be able to perform the desired control objective, which presents a significant challenge to system operations. One well-known situation is when the converter is subjected to an unbalanced ac voltage with a negative-sequence fundamental voltage injection. Under this condition, the VSC may generate undesired double-frequency ripples at the dc voltage and uncharacteristic harmonics at the ac current. This paper presents a new two-stage control method suitable for VSCs used in high-power applications. In the first stage, a simple proportional controller is used to suppress overshoots during the transients. Then, the iterative controller is activated to finely adjust the modulation indices and firing angles of the converter to compensate the uncharacteristic harmonics. To verify the performance of the proposed control method, the control algorithms are implemented in a 10 MVA VSC system and validated by means of hardware-in-the-loop simulations. The results show that the state variables converge within a few iterative steps, and the transient response is sufficiently fast. The proposed method is shown to perform better than conventional methods for attenuating and eliminating the uncharacteristic dc and ac harmonics caused by imbalances in the grid voltage.

ACS Style

Yu-Hsuan Lo; Yi-Chun Chen; Kuo Lung Lian; Houshang Karimi; Chang-Zhi Wang. An Iterative Control Method for Voltage Source Converters to Eliminate Uncharacteristic Harmonics Under Unbalanced Grid Voltages for High-Power Applications. IEEE Transactions on Sustainable Energy 2018, 10, 1419 -1429.

AMA Style

Yu-Hsuan Lo, Yi-Chun Chen, Kuo Lung Lian, Houshang Karimi, Chang-Zhi Wang. An Iterative Control Method for Voltage Source Converters to Eliminate Uncharacteristic Harmonics Under Unbalanced Grid Voltages for High-Power Applications. IEEE Transactions on Sustainable Energy. 2018; 10 (3):1419-1429.

Chicago/Turabian Style

Yu-Hsuan Lo; Yi-Chun Chen; Kuo Lung Lian; Houshang Karimi; Chang-Zhi Wang. 2018. "An Iterative Control Method for Voltage Source Converters to Eliminate Uncharacteristic Harmonics Under Unbalanced Grid Voltages for High-Power Applications." IEEE Transactions on Sustainable Energy 10, no. 3: 1419-1429.

Conference paper
Published: 01 September 2018 in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
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Electrical distribution network operators require measurements from phasor measurement units (PMUs), micro-PMUs ( μPMUs), and smart meters (SMs) in order to develop efficient distributed management system (DMS) applications. The high data-rate transmission of those measurements is a burden to the underlying communication system and its feasibility needs to be investigated. In this paper, we propose a method to characterize the traffic generated by a DMS application in a smart city scenario and an analysis of its impact on a realistic LTE infrastructure. Real geographic data on the position of SMs, PMUs, and μPMUs are employed to accurately model this DMS application and its generated traffic. A realistic LTE infrastructure is used to measure the load of DMS traffic at each eNodeB. The impact of synchronous and asynchronous DMS traffic on the LTE access is discussed, and bottlenecks in the LTE communication network are identified.

ACS Style

Filippo Malandra; Reza Pourramezan; Houshang Karimi; Brunilde Sanso. Impact of PMU and Smart Meter Applications on the Performance of LTE-based Smart City Communications. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2018, 1 -6.

AMA Style

Filippo Malandra, Reza Pourramezan, Houshang Karimi, Brunilde Sanso. Impact of PMU and Smart Meter Applications on the Performance of LTE-based Smart City Communications. 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). 2018; ():1-6.

Chicago/Turabian Style

Filippo Malandra; Reza Pourramezan; Houshang Karimi; Brunilde Sanso. 2018. "Impact of PMU and Smart Meter Applications on the Performance of LTE-based Smart City Communications." 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) , no. : 1-6.

Journal article
Published: 17 August 2018 in IEEE Transactions on Industrial Informatics
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The output power of distributed energy resources (DERs) may experience irregular fluctuations due to variations of renewable sources, which need to be monitored in order to reliably control the grid. This paper proposes a novel approach for centralized detection of such irregularities based on the time-series analysis of the data reported by phasor measurement units (PMUs). In this approach, a network controller constructs datasets of time-aligned real/reactive powers for different zones. The datasets are transformed into sequences of short-time local outlier probability (ST-LOP) which are analyzed to identify the DER events. The network controller estimates features such as the average duration and the similarity degree which is a measure of spatio-temporal correlation between the DER events. As a use case, event-triggered control of solar photovoltaic (PV) systems with energy storage devices is investigated. The simulation results for the IEEE 123-bus network corroborate the effectiveness of the developed analytics for detection and mitigation of ramp-rate solar power fluctuations. Smart microgrids and active distribution networks can employ the developed analytics to improve a range of diagnostic and control functionalities.

ACS Style

Younes Seyedi; Houshang Karimi; Santiago Grijalva. Irregularity Detection in Output Power of Distributed Energy Resources Using PMU Data Analytics in Smart Grids. IEEE Transactions on Industrial Informatics 2018, 15, 2222 -2232.

AMA Style

Younes Seyedi, Houshang Karimi, Santiago Grijalva. Irregularity Detection in Output Power of Distributed Energy Resources Using PMU Data Analytics in Smart Grids. IEEE Transactions on Industrial Informatics. 2018; 15 (4):2222-2232.

Chicago/Turabian Style

Younes Seyedi; Houshang Karimi; Santiago Grijalva. 2018. "Irregularity Detection in Output Power of Distributed Energy Resources Using PMU Data Analytics in Smart Grids." IEEE Transactions on Industrial Informatics 15, no. 4: 2222-2232.

Proceedings article
Published: 01 July 2017 in 2017 IEEE Power & Energy Society General Meeting
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Smart grids incorporate distributed generation (DG) systems and renewable energy sources (wind, solar, etc.) at the distribution level. Penetration of DG systems increases complexity of distribution grids in terms of monitoring, control, and protection. Specifically, conventional protection systems may fail to identify and isolate faults within a tolerance interval due to time-varying power generated by DG systems. To overcome such challenges, this paper presents a networked protection approach for fault detection in smart distribution grids. The main part of networked protection systems is a centralized fault detector (CFD) which receives synchrophasor data transmitted from the main point of common coupling (PCC) and the local PCCs of DG systems. The CFD identifies fault-triggered disturbances by simultaneously processing frequency and voltage magnitude data of three phases. Once a fault is detected protective commands are sent to relays, intelligent electronic devices (IEDs) and DG systems via communication links. The EMTP-RV simulation results confirm that the proposed networked protection approach can effectively detect faults within pre-defined fault tolerance time.

ACS Style

Younes Seyedi; Houshang Karimi. Design of networked protection systems for smart distribution grids: A data-driven approach. 2017 IEEE Power & Energy Society General Meeting 2017, 1 -5.

AMA Style

Younes Seyedi, Houshang Karimi. Design of networked protection systems for smart distribution grids: A data-driven approach. 2017 IEEE Power & Energy Society General Meeting. 2017; ():1-5.

Chicago/Turabian Style

Younes Seyedi; Houshang Karimi. 2017. "Design of networked protection systems for smart distribution grids: A data-driven approach." 2017 IEEE Power & Energy Society General Meeting , no. : 1-5.

Journal article
Published: 26 May 2017 in IEEE Transactions on Power Systems
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Modern distribution grids are shifting toward resilient and sustainable energy networks through the use of unprecedented number of distributed generation (DG) units and renewable energy sources. However, unlike conventional grids, they are also highly integrative in the sense that, centralized control applications must support critical protective actions to reliably provide power to consumers. To achieve this goal, this paper presents a novel mechanism for coordinated protection and control of DG systems under permanent line faults in distribution networks. First, a centralized fault detector employs voltage phasors and frequency data to identify and isolate the fault within a tolerance time. Upon fault detection, a secondary control algorithm retrieves archived synchrophasor datasets to calculate real and reactive power disturbances caused by the fault isolation. In this mechanism, the secondary controller facilitates voltage/frequency recovery by adapting reference points of local controllers to the post-fault conditions. Coordination is carried out based on the knowledge of the response time of protective devices and communication delays in control links. The proposed approach is a promising paradigm for reliable networked protection and improved situational awareness in smart distribution networks.

ACS Style

Younes Seyedi; Houshang Karimi. Coordinated Protection and Control Based on Synchrophasor Data Processing in Smart Distribution Networks. IEEE Transactions on Power Systems 2017, 33, 634 -645.

AMA Style

Younes Seyedi, Houshang Karimi. Coordinated Protection and Control Based on Synchrophasor Data Processing in Smart Distribution Networks. IEEE Transactions on Power Systems. 2017; 33 (1):634-645.

Chicago/Turabian Style

Younes Seyedi; Houshang Karimi. 2017. "Coordinated Protection and Control Based on Synchrophasor Data Processing in Smart Distribution Networks." IEEE Transactions on Power Systems 33, no. 1: 634-645.

Journal article
Published: 24 April 2017 in IEEE Transactions on Industrial Electronics
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The connection of a distributed generation (DG) unit to a weak power system is challenging due to stability issues resulted from dynamic interactions between the DG unit and the grid. An LCL-based DG unit is a particularly challenging case due to the presence of a high resonant peak in its frequency response. This paper proposes a robust control strategy to overcome the stability issues of an LCL-based DG unit connected to a weak grid. The main advantage of the proposed control strategy is that it guarantees stability and satisfactory transient performance against the variations of grid impedance. Moreover, it is able to decouple the d and q channels of the control system, which enables independent regulation of the real and reactive output power of the DG unit. Real-time simulations and experimental tests illustrate the effectiveness of the proposed controller in terms of improved transient performance, robust stability, and satisfactory controller set-point tracking.

ACS Style

Mahdieh S. SadAbadi; Aboutaleb Haddadi; Houshang Karimi; Alireza Karimi. A Robust Active Damping Control Strategy for an $LCL$ -Based Grid-Connected DG Unit. IEEE Transactions on Industrial Electronics 2017, 64, 8055 -8065.

AMA Style

Mahdieh S. SadAbadi, Aboutaleb Haddadi, Houshang Karimi, Alireza Karimi. A Robust Active Damping Control Strategy for an $LCL$ -Based Grid-Connected DG Unit. IEEE Transactions on Industrial Electronics. 2017; 64 (10):8055-8065.

Chicago/Turabian Style

Mahdieh S. SadAbadi; Aboutaleb Haddadi; Houshang Karimi; Alireza Karimi. 2017. "A Robust Active Damping Control Strategy for an $LCL$ -Based Grid-Connected DG Unit." IEEE Transactions on Industrial Electronics 64, no. 10: 8055-8065.

Journal article
Published: 24 April 2017 in IEEE Transactions on Industrial Informatics
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Synchrophasor networks are subject to communication delays and packet dropout that can compromise data integrity and, thus, jeopardize control and monitoring of smart microgrids. This paper proposes an advanced phasor data concentrators (APDC) capable of counteracting the communication impairments and improving the quality of monitoring of distributed energy resources (DERs) in microgrids. The proposed APDC utilizes an adaptive compensation scheme to achieve an effective estimate of missing data elements. Moreover, a monitoring unit is proposed to reliably detect frequency excursions and identify the DERs affected by islanding events. The performance of the proposed APDC is evaluated based on realistic phasor measurement unit data aligned and processed with real-time OpenPDC software. The experimental results confirm a high-level data integrity under both normal and disturbed conditions of microgrids. Moreover, fast and reliable detection of islanding events is achieved due to the significant improvement in detection time even under severe data losses.

ACS Style

Reza Pourramezan; Younes Seyedi; Houshang Karimi; Guchuan Zhu; Michel Mont-Briant. Design of an Advanced Phasor Data Concentrator for Monitoring of Distributed Energy Resources in Smart Microgrids. IEEE Transactions on Industrial Informatics 2017, 13, 3027 -3036.

AMA Style

Reza Pourramezan, Younes Seyedi, Houshang Karimi, Guchuan Zhu, Michel Mont-Briant. Design of an Advanced Phasor Data Concentrator for Monitoring of Distributed Energy Resources in Smart Microgrids. IEEE Transactions on Industrial Informatics. 2017; 13 (6):3027-3036.

Chicago/Turabian Style

Reza Pourramezan; Younes Seyedi; Houshang Karimi; Guchuan Zhu; Michel Mont-Briant. 2017. "Design of an Advanced Phasor Data Concentrator for Monitoring of Distributed Energy Resources in Smart Microgrids." IEEE Transactions on Industrial Informatics 13, no. 6: 3027-3036.

Journal article
Published: 16 February 2017 in IEEE Transactions on Power Systems
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This paper presents a linear-quadratic regulator (LQR) for damping of subsynchronous interaction (SSI) in doubly-fed induction generator (DFIG)-based wind farms. The proposed LQR controller employs a full-state observer to estimate all state variables. The output of the LQR is added to control signals of inner current control loops of DFIG converters as supplementary control signals. The supplementary control signals are dynamically limited to avoid saturating the converters and to provide the DFIG with the desired transient response against power system faults. The proposed SSI damping controller is designed for a realistic series compensated wind farm, and its performance is verified using electromagnetic transient (EMT) simulations. The EMT simulations are performed using a detailed DFIG model which includes all nonlinearities and all required transient functions to meet the grid code requirements corresponding to fault-ride-through (FRT). The results show that the proposed SSI controller is able to significantly mitigate the oscillations due to the SSI phenomenon, and to provide excellent transient response against systems faults.

ACS Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Simon Jensen; Jean Mahseredjian; Sherif O. Faried. An LQR Controller for Damping of Subsynchronous Interaction in DFIG-Based Wind Farms. IEEE Transactions on Power Systems 2017, 32, 4934 -4942.

AMA Style

Mohsen Ghafouri, Ulas Karaagac, Houshang Karimi, Simon Jensen, Jean Mahseredjian, Sherif O. Faried. An LQR Controller for Damping of Subsynchronous Interaction in DFIG-Based Wind Farms. IEEE Transactions on Power Systems. 2017; 32 (6):4934-4942.

Chicago/Turabian Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Simon Jensen; Jean Mahseredjian; Sherif O. Faried. 2017. "An LQR Controller for Damping of Subsynchronous Interaction in DFIG-Based Wind Farms." IEEE Transactions on Power Systems 32, no. 6: 4934-4942.

Conference paper
Published: 14 November 2016 in 2016 IEEE Power and Energy Society General Meeting (PESGM)
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An optimal controller for damping of sub synchronous resonance (SSR) due to a series compensated line connected to a DFIG-based wind farm is presented in this paper. The design procedure includes system modeling, analysis of sub synchronous phenomena, linearization of system about an operating point and controller design. The proposed controller is designed based on LQR method and the eigenvalue analysis is utilized to describe the behavior of system. IEEE SSR first benchmark used to show the effectiveness of the proposed controller.

ACS Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Jean Mahseredjian. Sub synchronous resonance dapming in DFIG-based wind farms using optimal control. 2016 IEEE Power and Energy Society General Meeting (PESGM) 2016, 1 -5.

AMA Style

Mohsen Ghafouri, Ulas Karaagac, Houshang Karimi, Jean Mahseredjian. Sub synchronous resonance dapming in DFIG-based wind farms using optimal control. 2016 IEEE Power and Energy Society General Meeting (PESGM). 2016; ():1-5.

Chicago/Turabian Style

Mohsen Ghafouri; Ulas Karaagac; Houshang Karimi; Jean Mahseredjian. 2016. "Sub synchronous resonance dapming in DFIG-based wind farms using optimal control." 2016 IEEE Power and Energy Society General Meeting (PESGM) , no. : 1-5.