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Prof. Surya Santoso
Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA

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0 Energy Storage
0 Photovoltaics
0 Renewable Energy
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Journal article
Published: 30 August 2021 in IEEE Open Access Journal of Power and Energy
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Abstract: This work proposes positive- and negative-sequence equivalent circuits of grid-forming inverters for steady-state analysis. The proposed models are especially attractive for performing long-duration voltage regulation analysis and short-circuit studies involving grid-forming inverters. Our proposed equivalent circuit models are based on the inverter’s voltage and current control loops in the αβ and dq frames. For this reason, they operate according to prescribed control functions and specified impedances (i.e., filter impedance, current limiter block, virtual admittance block, and PI/PR controller block). The equivalent circuit model accuracy is validated by comparing system steady-state voltage and current responses obtained by detailed time-domain models in PSCAD/EMTDC to those by the equivalent circuit models implemented in steady-state load flow program (e.g., OpenDSS). Two distinct control structures implemented in the αβ and dq frames are used for the validation. Single line-to-ground and line-to-lineto-ground faults are simulated in a small islanded microgrid as well as the IEEE 34-node test feeder. Fault impedances varying from 0 to 5 ohms are simulated. We show that the equivalent models precisely replicate the steady-state response of the detailed time-domain models.

ACS Style

Vinicius C. Cunha; Taehyung Kim; Nicholas Barry; Piyapath Siratarnsophon; Surya Santoso; Walmir Freitas; Deepak Ramasubramanian; Roger C. Dugan. Generalized Formulation of Steady-State Equivalent Circuit Models of Grid-Forming Inverters. IEEE Open Access Journal of Power and Energy 2021, PP, 1 -1.

AMA Style

Vinicius C. Cunha, Taehyung Kim, Nicholas Barry, Piyapath Siratarnsophon, Surya Santoso, Walmir Freitas, Deepak Ramasubramanian, Roger C. Dugan. Generalized Formulation of Steady-State Equivalent Circuit Models of Grid-Forming Inverters. IEEE Open Access Journal of Power and Energy. 2021; PP (99):1-1.

Chicago/Turabian Style

Vinicius C. Cunha; Taehyung Kim; Nicholas Barry; Piyapath Siratarnsophon; Surya Santoso; Walmir Freitas; Deepak Ramasubramanian; Roger C. Dugan. 2021. "Generalized Formulation of Steady-State Equivalent Circuit Models of Grid-Forming Inverters." IEEE Open Access Journal of Power and Energy PP, no. 99: 1-1.

Journal article
Published: 11 May 2021 in Electronics
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Electric vehicle (EV) charging stations fed by photovoltaic (PV) panels allow integration of various low-carbon technologies, and are gaining increasing attention as a mean to locally manage power generation and demand. This paper presents novel control schemes to improve coordination of an islanded PV-fed DC bus EV charging system during various disturbances, including rapid changes of irradiance, EV connection and disconnection, or energy storage unit (ESU) charging and discharging. A new hybrid control scheme combining the advantages of both master–slave control and droop control is proposed for a charging station supplying 20 EVs for a total power of 890 kW. In addition, a three-level (3L) boost converter with capacitor voltage balance control is designed for PV generation, with the aim to provide high voltage gain while employing a small inductor. The control techniques are implemented in a simulation environment. Various case studies are presented and analysed, confirming the effectiveness and stability of the control strategies proposed for the islanded charging system. For all tested conditions, the operating voltage is maintained within 5% of the rated value.

ACS Style

Han Huang; Senthooran Balasubramaniam; Grazia Todeschini; Surya Santoso. A Photovoltaic-Fed DC-Bus Islanded Electric Vehicles Charging System Based on a Hybrid Control Scheme. Electronics 2021, 10, 1142 .

AMA Style

Han Huang, Senthooran Balasubramaniam, Grazia Todeschini, Surya Santoso. A Photovoltaic-Fed DC-Bus Islanded Electric Vehicles Charging System Based on a Hybrid Control Scheme. Electronics. 2021; 10 (10):1142.

Chicago/Turabian Style

Han Huang; Senthooran Balasubramaniam; Grazia Todeschini; Surya Santoso. 2021. "A Photovoltaic-Fed DC-Bus Islanded Electric Vehicles Charging System Based on a Hybrid Control Scheme." Electronics 10, no. 10: 1142.

Journal article
Published: 24 February 2021 in IEEE Open Access Journal of Power and Energy
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Recent advances in inverter-based distributed energy resources (DERs) allow microgrids to operate in grid-connected and islanded modes with ease. However, determining a steady-state load flow solution of a real-world unbalanced and islanded three-phase microgrid remains a challenge. Existing methods are either unsuitable, labor-intensive or computationally demanding for a long-term analysis of islanded microgrids. To address these issues, we propose a practical solution framework that employs externally-updated system frequency, power quantities, and droop characteristics governing the voltage and phase angle of DERs in every iteration as inputs to an off-the-shelf open-source multi-phase, multi-wire, unbalanced power flow software tool to solve an islanded-microgrid power flow. Using our framework, users only need to implement a set of droop equations and update system variables. The power flow solution is accomplished entirely by an off-the-shelf power flow tool, e.g., OpenDSS. Our proposed framework can model a microgrid of any arbitrary configuration and operating condition. We demonstrate and validate the proposed method’s efficacy by comparing its results with those modeled using a time-domain simulation with PSCAD/EMTDC. Finally, an example of a quasi-static time-series study is presented to better illustrate the application of such a tool.

ACS Style

Vinicius C. Cunha; Taehyung Kim; Piyapath Siratarnsophon; Nicholas Barry; Surya Santoso; Walmir Freitas. Quasi-Static Time-Series Power Flow Solution for Islanded and Unbalanced Three-Phase Microgrids. IEEE Open Access Journal of Power and Energy 2021, 8, 97 -106.

AMA Style

Vinicius C. Cunha, Taehyung Kim, Piyapath Siratarnsophon, Nicholas Barry, Surya Santoso, Walmir Freitas. Quasi-Static Time-Series Power Flow Solution for Islanded and Unbalanced Three-Phase Microgrids. IEEE Open Access Journal of Power and Energy. 2021; 8 ():97-106.

Chicago/Turabian Style

Vinicius C. Cunha; Taehyung Kim; Piyapath Siratarnsophon; Nicholas Barry; Surya Santoso; Walmir Freitas. 2021. "Quasi-Static Time-Series Power Flow Solution for Islanded and Unbalanced Three-Phase Microgrids." IEEE Open Access Journal of Power and Energy 8, no. : 97-106.

Journal article
Published: 16 January 2021 in Energies
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In recent years, machine learning applications have received increasing interest from power system researchers. The successful performance of these applications is dependent on the availability of extensive and diverse datasets for the training and validation of machine learning frameworks. However, power systems operate at quasi-steady-state conditions for most of the time, and the measurements corresponding to these states provide limited novel knowledge for the development of machine learning applications. In this paper, a data mining approach based on optimization techniques is proposed for filtering root-mean-square (RMS) voltage profiles and identifying unusual measurements within triggerless power quality datasets. Then, datasets with equal representation between event and non-event observations are created so that machine learning algorithms can extract useful insights from the rare but important event observations. The proposed framework is demonstrated and validated with both synthetic signals and field data measurements.

ACS Style

Alvaro Furlani Bastos; Surya Santoso. Optimization Techniques for Mining Power Quality Data and Processing Unbalanced Datasets in Machine Learning Applications. Energies 2021, 14, 463 .

AMA Style

Alvaro Furlani Bastos, Surya Santoso. Optimization Techniques for Mining Power Quality Data and Processing Unbalanced Datasets in Machine Learning Applications. Energies. 2021; 14 (2):463.

Chicago/Turabian Style

Alvaro Furlani Bastos; Surya Santoso. 2021. "Optimization Techniques for Mining Power Quality Data and Processing Unbalanced Datasets in Machine Learning Applications." Energies 14, no. 2: 463.

Journal article
Published: 13 January 2021 in Clean Technologies
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The capability of routing power from one phase to another, interphase power flow (IPPF) control, has the potential to improve power systems efficiency, stability, and operation. To date, existing works on IPPF control focus on unbalanced compensation using three-phase devices. An IPPF model is proposed for capturing the general power flow caused by single-phase elements. The model reveals that the presence of a power quantity in line-to-line single-phase elements causes an IPPF of the opposite quantity; line-to-line reactive power consumption causes real power flow from leading to lagging phase while real power consumption causes reactive power flow from lagging to leading phase. Based on the model, the IPPF control is proposed for line-to-line single-phase power electronic interfaces and static var compensators (SVCs). In addition, the control is also applicable for the line-to-neutral single-phase elements connected at the wye side of delta-wye transformers. Two simulations on a multimicrogrid system and a utility feeder are provided for verification and demonstration. The application of IPPF control allows single-phase elements to route active power between phases, improving system operation and flexibility. A simple IPPF control for active power balancing at the feeder head shows reductions in both voltage unbalances and system losses.

ACS Style

Piyapath Siratarnsophon; Vinicius C. Cunha; Nicholas G. Barry; Surya Santoso. Interphase Power Flow Control via Single-Phase Elements in Distribution Systems. Clean Technologies 2021, 3, 37 -58.

AMA Style

Piyapath Siratarnsophon, Vinicius C. Cunha, Nicholas G. Barry, Surya Santoso. Interphase Power Flow Control via Single-Phase Elements in Distribution Systems. Clean Technologies. 2021; 3 (1):37-58.

Chicago/Turabian Style

Piyapath Siratarnsophon; Vinicius C. Cunha; Nicholas G. Barry; Surya Santoso. 2021. "Interphase Power Flow Control via Single-Phase Elements in Distribution Systems." Clean Technologies 3, no. 1: 37-58.

Original research paper
Published: 06 January 2021 in IET Generation, Transmission & Distribution
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Impedance‐based fault location (IBFL) approaches are the most commonly used fault location methods in digital relays. However, each IBFL approach is designed specific to a line or network configuration and thus is not universal. For example, complex line configurations such as lines with mutual coupling between them and three‐terminal lines have to employ individual IBFL algorithms derived specifically for them. Furthermore, they suffer from several sources of errors such as non‐homogeneous system, and CT saturation. Hence, this paper presents a novel fault location approach that utilises a system model to overcome these limitations. The proposed model‐based fault location (MBFL) approach estimates the fault location by identifying the closest match among various anticipated fault scenarios obtained using the system model and the actual fault scenario. It uses a dynamic search technique to implement the MBFL efficiently. A key highlight of the proposed approach is identifying the location of a fault on a neighbouring line using limited measurements, as few as only the through fault current flowing in a neighbouring line. The advantages of the approach and its practical applicability have been demonstrated by implementing it in complex network configurations as well as field data.

ACS Style

Sundaravaradan Navalpakkam Ananthan; Alvaro Furlani Bastos; Surya Santoso. Novel system model‐based fault location approach using dynamic search technique. IET Generation, Transmission & Distribution 2021, 1 .

AMA Style

Sundaravaradan Navalpakkam Ananthan, Alvaro Furlani Bastos, Surya Santoso. Novel system model‐based fault location approach using dynamic search technique. IET Generation, Transmission & Distribution. 2021; ():1.

Chicago/Turabian Style

Sundaravaradan Navalpakkam Ananthan; Alvaro Furlani Bastos; Surya Santoso. 2021. "Novel system model‐based fault location approach using dynamic search technique." IET Generation, Transmission & Distribution , no. : 1.

Journal article
Published: 31 December 2020 in Inventions
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Series arc faults are challenging to detect in low-voltage dc (LVDC) distribution systems because, unlike other fault types, series arc faults result in only small changes in the current and voltage waveforms. Though there have been several approaches proposed to detect series arc faults, each approach has its requirements and limitations. A step change in the current and voltage waveforms at the arc inception is one of the characteristic signatures of these faults that can be extracted without requiring one to sample the waveforms at a very high frequency. This characteristic feature is utilized to present a novel approach based on voltage differential protection to detect series arc faults in LVDC systems. The proposed method is demonstrated using an embedded controller and experimental data that emulate a hardware-in-the-loop (HIL) test environment. The successful detection of series arc faults on two sets of series arc fault experimental data validated the approach. The results presented also illustrate the computational feasibility in implementing the approach in a real-time environment using an embedded controller. In addition, the paper discusses the robustness of the approach to load changes and loss of time synchronization between measurements at the two terminals of the line.

ACS Style

Sundaravaradan Navalpakkam Ananthan; Xianyong Feng; Charles Penney; Angelo Gattozzi; Robert Hebner; Surya Santoso. Voltage Differential Protection for Series Arc Fault Detection in Low-Voltage DC Systems. Inventions 2020, 6, 5 .

AMA Style

Sundaravaradan Navalpakkam Ananthan, Xianyong Feng, Charles Penney, Angelo Gattozzi, Robert Hebner, Surya Santoso. Voltage Differential Protection for Series Arc Fault Detection in Low-Voltage DC Systems. Inventions. 2020; 6 (1):5.

Chicago/Turabian Style

Sundaravaradan Navalpakkam Ananthan; Xianyong Feng; Charles Penney; Angelo Gattozzi; Robert Hebner; Surya Santoso. 2020. "Voltage Differential Protection for Series Arc Fault Detection in Low-Voltage DC Systems." Inventions 6, no. 1: 5.

Journal article
Published: 16 November 2020 in IEEE Transactions on Power Systems
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Low-frequency high-voltage alternating-current (LF-HVac) transmission scheme has been recently proposed as an alternative solution to conventional 50/60-Hz HVac and high-voltage direct-current (HVdc) schemes for bulk power transfer. This paper proposes an optimal planning and operation for loss minimization in a multi-frequency HVac transmission system. In such a system, conventional HVac and LF-HVac grids are interconnected using back-to-back (BTB) converters. The dependence of system MW losses on converter dispatch as well as the operating voltage and frequency in the LF-HVac is discussed and compared with that of HVdc transmission. Based on the results of the loss analysis, multi-objective optimization formulations for both planning and operation stages are proposed. The planning phase decides a suitable voltage level for the LF-HVac grid, while the operation phase determines the optimal operating frequency and power dispatch of BTB converters, generators, and shunt capacitors. A solution approach that effectively handles the variations of transmission line parameters with the rated voltage and operating frequency in the LF-HVac grid is proposed. The proposed solutions of the planning and operation stages are evaluated using a multi-frequency HVac system. The results show a significant loss reduction and improved voltage regulation during a 24-hour simulation.

ACS Style

Quan Huy Nguyen; Surya Santoso. Optimal Planning and Operation of Multi-Frequency HVac Transmission Systems. IEEE Transactions on Power Systems 2020, 36, 689 -698.

AMA Style

Quan Huy Nguyen, Surya Santoso. Optimal Planning and Operation of Multi-Frequency HVac Transmission Systems. IEEE Transactions on Power Systems. 2020; 36 (1):689-698.

Chicago/Turabian Style

Quan Huy Nguyen; Surya Santoso. 2020. "Optimal Planning and Operation of Multi-Frequency HVac Transmission Systems." IEEE Transactions on Power Systems 36, no. 1: 689-698.

Journal article
Published: 22 June 2020 in IEEE Transactions on Smart Grid
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This work proposes a generic method to utilize customer smart meter measurements to automatically and simultaneously estimate topology, line parameters, and customer and line phasing connections in low voltage (LV) distribution systems. This generic approach is applicable to single, two, and three-phases lines and customers. Hence, it is suitable not only for North American systems but also for European and South American systems. This generic estimation is conducted by using a multiple linear regression model applied to data supplied by customers meters. The acceptance of each estimated parameter is carried out through comparisons with mathematical (e.g., coefficient of determination and relative standard deviation) and physical constraints (e.g., resistances, line length, and conductor X/R ratios). Granularity and sensitivity analyses are also conducted taking into account smart meter data quality (e.g., update ratio, metering errors, resolution, clock desynchronization). The obtained results show the high performance of the method to correctly estimate the system topology, line parameters, and line and customers phasing based on a specification of 15-day sample size with 60-min resolution as a general compromise solution between data acquisition and accuracy.

ACS Style

Vinicius C. Cunha; Walmir Freitas; Fernanda C. L. Trindade; Surya Santoso. Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements. IEEE Transactions on Smart Grid 2020, 11, 5028 -5038.

AMA Style

Vinicius C. Cunha, Walmir Freitas, Fernanda C. L. Trindade, Surya Santoso. Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements. IEEE Transactions on Smart Grid. 2020; 11 (6):5028-5038.

Chicago/Turabian Style

Vinicius C. Cunha; Walmir Freitas; Fernanda C. L. Trindade; Surya Santoso. 2020. "Automated Determination of Topology and Line Parameters in Low Voltage Systems Using Smart Meters Measurements." IEEE Transactions on Smart Grid 11, no. 6: 5028-5038.

Journal article
Published: 04 December 2019 in IEEE Access
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ACS Style

David M. Rosewater; David Copp; Tu A. Nguyen; Raymond Byrne; Surya Santoso. Battery Energy Storage Models for Optimal Control. IEEE Access 2019, 7, 178357 -178391.

AMA Style

David M. Rosewater, David Copp, Tu A. Nguyen, Raymond Byrne, Surya Santoso. Battery Energy Storage Models for Optimal Control. IEEE Access. 2019; 7 ():178357-178391.

Chicago/Turabian Style

David M. Rosewater; David Copp; Tu A. Nguyen; Raymond Byrne; Surya Santoso. 2019. "Battery Energy Storage Models for Optimal Control." IEEE Access 7, no. : 178357-178391.

Journal article
Published: 21 November 2019 in IEEE Transactions on Power Systems
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Low-frequency high-voltage ac transmission scheme has recently been proposed as an alternative approach for bulk power transmission. This paper proposes a multi-period optimal power flow (OPF) for a multi-frequency HVac transmission system that interconnects both conventional 50/60-Hz and lowfrequency grids using back-to-back converters with a centralized control scheme. The OPF objective is to minimize system losses by determining the optimal dispatch for generators, shunt capacitors, and converters. The OPF constraints include the operational constraints of all HVac grid and converter stations. The resulting mixed-integer nonlinear programing problem is solved using a proposed framework based on the predictor-corrector primaldual interior-point method. The proposed OPF formulation and solution approach are verified using a multi-frequency HVac transmission system that is modified from the IEEE 57-bus system. The results with the optimal dispatch from the proposed method during a simulated day show a significant loss reduction and an improved voltage regulation compared to those when an arbitrary dispatch is chosen.

ACS Style

Quan Nguyen; Keng-Weng Lao; Phuong Vu; Surya Santoso. Loss Minimization With Optimal Power Dispatch in Multi-Frequency HVac Power Systems. IEEE Transactions on Power Systems 2019, 35, 1979 -1989.

AMA Style

Quan Nguyen, Keng-Weng Lao, Phuong Vu, Surya Santoso. Loss Minimization With Optimal Power Dispatch in Multi-Frequency HVac Power Systems. IEEE Transactions on Power Systems. 2019; 35 (3):1979-1989.

Chicago/Turabian Style

Quan Nguyen; Keng-Weng Lao; Phuong Vu; Surya Santoso. 2019. "Loss Minimization With Optimal Power Dispatch in Multi-Frequency HVac Power Systems." IEEE Transactions on Power Systems 35, no. 3: 1979-1989.

Journal article
Published: 19 November 2019 in IEEE Transactions on Power Delivery
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ACS Style

Alvaro Furlani Bastos; Surya Santoso. Universal Waveshape-Based Disturbance Detection in Power Quality Data Using Similarity Metrics. IEEE Transactions on Power Delivery 2019, 35, 1779 -1787.

AMA Style

Alvaro Furlani Bastos, Surya Santoso. Universal Waveshape-Based Disturbance Detection in Power Quality Data Using Similarity Metrics. IEEE Transactions on Power Delivery. 2019; 35 (4):1779-1787.

Chicago/Turabian Style

Alvaro Furlani Bastos; Surya Santoso. 2019. "Universal Waveshape-Based Disturbance Detection in Power Quality Data Using Similarity Metrics." IEEE Transactions on Power Delivery 35, no. 4: 1779-1787.

Journal article
Published: 24 October 2019 in IEEE Transactions on Smart Grid
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ACS Style

David Rosewater; Ross Baldick; Surya Santoso. Risk-Averse Model Predictive Control Design for Battery Energy Storage Systems. IEEE Transactions on Smart Grid 2019, 11, 2014 -2022.

AMA Style

David Rosewater, Ross Baldick, Surya Santoso. Risk-Averse Model Predictive Control Design for Battery Energy Storage Systems. IEEE Transactions on Smart Grid. 2019; 11 (3):2014-2022.

Chicago/Turabian Style

David Rosewater; Ross Baldick; Surya Santoso. 2019. "Risk-Averse Model Predictive Control Design for Battery Energy Storage Systems." IEEE Transactions on Smart Grid 11, no. 3: 2014-2022.

Journal article
Published: 29 March 2019 in IEEE Transactions on Power Delivery
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ACS Style

Alvaro Furlani Bastos; Surya Santoso. Condition Monitoring of Circuit Switchers for Shunt Capacitor Banks Through Power Quality Data. IEEE Transactions on Power Delivery 2019, 34, 1499 -1507.

AMA Style

Alvaro Furlani Bastos, Surya Santoso. Condition Monitoring of Circuit Switchers for Shunt Capacitor Banks Through Power Quality Data. IEEE Transactions on Power Delivery. 2019; 34 (4):1499-1507.

Chicago/Turabian Style

Alvaro Furlani Bastos; Surya Santoso. 2019. "Condition Monitoring of Circuit Switchers for Shunt Capacitor Banks Through Power Quality Data." IEEE Transactions on Power Delivery 34, no. 4: 1499-1507.

Journal article
Published: 11 January 2019 in IEEE Transactions on Power Delivery
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ACS Style

Piyapath Siratarnsophon; Keng Weng Lao; David Rosewater; Surya Santoso. A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid. IEEE Transactions on Power Delivery 2019, 34, 2248 -2250.

AMA Style

Piyapath Siratarnsophon, Keng Weng Lao, David Rosewater, Surya Santoso. A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid. IEEE Transactions on Power Delivery. 2019; 34 (6):2248-2250.

Chicago/Turabian Style

Piyapath Siratarnsophon; Keng Weng Lao; David Rosewater; Surya Santoso. 2019. "A Voltage Smoothing Algorithm Using Energy Storage PQ Control in PV-Integrated Power Grid." IEEE Transactions on Power Delivery 34, no. 6: 2248-2250.

Journal article
Published: 13 December 2018 in Inventions
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Post-fault event report analysis is a crucial skill set for electric power engineers in the protection industry. This paper serves as a reference which elucidates the preprocessing procedures involved in transforming data present in event reports to phasors that can be used in various post-fault analysis application algorithms. The paper discusses key elements of this process such as interpreting the data and calculating voltage and current phasors from instantaneous sample values present in a fault record. A crucial component of event report analysis is choosing the appropriate time instant for calculating phasors for event report analysis. Conventionally, protection engineers manually perform event report analysis and arbitrarily select time instants after certain cycles of fault inception for this purpose. This approach prevents the process from being successfully automated. Furthermore, arbitrary selection of time instant does not utilize the entire fault data and may fail in several cases such as short time fault scenario and evolving fault scenario. For this purpose, this paper proposes an adaptive novel technique which utilizes the entire data present in the event report to select the most suitable time instant for event report analysis. The superiority of the proposed algorithm over conventional methods is demonstrated using three real-world scenarios.

ACS Style

Sundaravaradan Navalpakkam Ananthan; Alvaro Furlani Bastos; Surya Santoso; Alberto Del Rosso. An Automated Technique for Extracting Phasors from Protective Relay’s Event Reports. Inventions 2018, 3, 81 .

AMA Style

Sundaravaradan Navalpakkam Ananthan, Alvaro Furlani Bastos, Surya Santoso, Alberto Del Rosso. An Automated Technique for Extracting Phasors from Protective Relay’s Event Reports. Inventions. 2018; 3 (4):81.

Chicago/Turabian Style

Sundaravaradan Navalpakkam Ananthan; Alvaro Furlani Bastos; Surya Santoso; Alberto Del Rosso. 2018. "An Automated Technique for Extracting Phasors from Protective Relay’s Event Reports." Inventions 3, no. 4: 81.

Journal article
Published: 18 October 2018 in IEEE Transactions on Power Delivery
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Voltage sags and swells are power quality events commonly observed in power systems; however, none of the existing methods allows determining their point-on-wave inception and recovery instants (and consequently, their duration) accurately in all cases. The primary goal of this paper is to determine these instants with little or no delay, by calculating the absolute rms voltage difference between two adjacent sliding windows. The proposed method is based on the assumption that this difference is maximum when the sample under analysis corresponds to either the inception or the recovery instant. This method is valid for both sag and swell events, with or without transients. Evaluation of the proposed method performance for different types of events shows that it is robust and highly accurate in determining the inception and recovery instants. The estimation error for the majority of the events analyzed is either 0 or 1 sample (each sample corresponds to a phase-angle difference of 2.81°), while the worst performance is 3 samples.

ACS Style

Alvaro Furlani Bastos; Keng-Weng Lao; Grazia Todeschini; Surya Santoso. Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells. IEEE Transactions on Power Delivery 2018, 34, 551 -560.

AMA Style

Alvaro Furlani Bastos, Keng-Weng Lao, Grazia Todeschini, Surya Santoso. Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells. IEEE Transactions on Power Delivery. 2018; 34 (2):551-560.

Chicago/Turabian Style

Alvaro Furlani Bastos; Keng-Weng Lao; Grazia Todeschini; Surya Santoso. 2018. "Accurate Identification of Point-on-Wave Inception and Recovery Instants of Voltage Sags and Swells." IEEE Transactions on Power Delivery 34, no. 2: 551-560.

Journal article
Published: 24 September 2018 in IEEE Transactions on Power Systems
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Present-day radial electric power distribution circuit faces multiple challenges due to the increased photovoltaic (PV) generation. This paper aims to examine and design modern distribution circuit topologies for accommodating high PV penetration, while addressing power quality concerns. The central hypothesis of the proposed design approach is that by decreasing the Thevenin impedance at the buses where PVs are connected, the impacts on feeder voltages due to PV generation become less pronounced thereby additional PV capacity can be integrated at the corresponding buses. A novel two-stage optimization framework is proposed. The first stage is a mixed-integer linear programming based formulation to design new optimal configuration for any given distribution circuit. The formulation allows the possibility that the circuit can be operated in either a radial or loop configuration. The second stage, a non-linear programming based formulation, then identifies PV hosting capacity for the identified optimal configuration. The proposed two-stage framework is evaluated for IEEE 123-bus test feeder. It is demonstrated that the PV hosting capacity of the feeder can be increased by 53% by optimally adding two new distribution lines with tie-switches.

ACS Style

Suma Jothibasu; Anamika Dubey; Surya Santoso. Two-Stage Distribution Circuit Design Framework for High Levels of Photovoltaic Generation. IEEE Transactions on Power Systems 2018, 34, 5217 -5226.

AMA Style

Suma Jothibasu, Anamika Dubey, Surya Santoso. Two-Stage Distribution Circuit Design Framework for High Levels of Photovoltaic Generation. IEEE Transactions on Power Systems. 2018; 34 (6):5217-5226.

Chicago/Turabian Style

Suma Jothibasu; Anamika Dubey; Surya Santoso. 2018. "Two-Stage Distribution Circuit Design Framework for High Levels of Photovoltaic Generation." IEEE Transactions on Power Systems 34, no. 6: 5217-5226.

Journal article
Published: 10 September 2018 in IEEE Transactions on Power Systems
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Smart inverters provide additional control capability to help optimize the operation of distribution systems. This paper proposes a framework for exact optimal active and reactive power dispatch of distributed photovoltaic (PV) generation, switched capacitors, and tap changers in large multi-phase unbalanced distribution systems. The objectives of the optimal dispatch are minimization of the energy loss, PV active power curtailment, and capacitor and tap changer switching operations, in addition to elimination of voltage violations and reverse power flow. The optimization problem is formulated in rectangular coordinates as a nonlinear, nonconvex problem. Effective computational strategies are proposed to allow the application of predictorcorrector primal-dual interior point method to solve optimization problems in real-time with a large number of constraints and variables, including discrete variables corresponding to switched capacitors and tap changers. The accuracy of the numerical solution and the ability to implement the proposed framework are validated using the unbalanced multi-phase IEEE 34-bus and EPRI 2,998-bus distribution systems with 15-minute load and PV data. The results show a significant loss reduction and complete removal of both voltage violations and reverse power flow.

ACS Style

Quan Huy Nguyen; Harsha Vardhana Padullaparti; Keng-Weng Lao; Surya Santoso; Xinda Ke; Nader A. Samaan. Exact Optimal Power Dispatch in Unbalanced Distribution Systems With High PV Penetration. IEEE Transactions on Power Systems 2018, 34, 718 -728.

AMA Style

Quan Huy Nguyen, Harsha Vardhana Padullaparti, Keng-Weng Lao, Surya Santoso, Xinda Ke, Nader A. Samaan. Exact Optimal Power Dispatch in Unbalanced Distribution Systems With High PV Penetration. IEEE Transactions on Power Systems. 2018; 34 (1):718-728.

Chicago/Turabian Style

Quan Huy Nguyen; Harsha Vardhana Padullaparti; Keng-Weng Lao; Surya Santoso; Xinda Ke; Nader A. Samaan. 2018. "Exact Optimal Power Dispatch in Unbalanced Distribution Systems With High PV Penetration." IEEE Transactions on Power Systems 34, no. 1: 718-728.

Journal article
Published: 26 June 2018 in IEEE Transactions on Sustainable Energy
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The location of protective devices, such as circuit breakers, reclosers, sectionalizers, and fuses, along with isolating switches in a distribution network is a key factor impacting the reliability performance. Furthermore, automatic restoration from intentional islanding with renewables-based distributed generators (DGs) or from alternate feeders can reduce outage times. In this paper, a mixed-integer linear program (MILP) formulation is proposed for protective device and switch allocation considering intentional islanding with distributed generation in distribution systems. The specific impact of each protective device type and isolating switch is modeled, e.g., momentary interruptions caused by reclosers. Efficient graph search algorithms combined with a directed graph representation of the distribution system allows for pre-processing of the network data and facilitates the formulation of an MILP. The formulation is able to efficiently compute optimal device allocations for multiple scenarios, revealing key insights, e.g., the location and capacity of DGs providing the greatest reliability benefit for a fixed protection budget. Numerical tests on realistic feeders and comparison with prior solutions show improved device allocations and lower objective function values.

ACS Style

Min Lwin; Jia Guo; Nedialko Dimitrov; Surya Santoso. Protective Device and Switch Allocation for Reliability Optimization With Distributed Generators. IEEE Transactions on Sustainable Energy 2018, 10, 449 -458.

AMA Style

Min Lwin, Jia Guo, Nedialko Dimitrov, Surya Santoso. Protective Device and Switch Allocation for Reliability Optimization With Distributed Generators. IEEE Transactions on Sustainable Energy. 2018; 10 (1):449-458.

Chicago/Turabian Style

Min Lwin; Jia Guo; Nedialko Dimitrov; Surya Santoso. 2018. "Protective Device and Switch Allocation for Reliability Optimization With Distributed Generators." IEEE Transactions on Sustainable Energy 10, no. 1: 449-458.