Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916718
Stavros Konstantinopoulos, D. Ramasubramanian, E. Farantatos, V. Singhvi
Blackstart (BS) is one of the most challenging processes in power system operations planning. The availability of resources, determining the order of element energization while adhering to the grid's operational constraints, makes this problem extremely complex. This task can become even more daunting in the future, where the majority of the available generation will be converter-based. In this work, we demonstrate the energization process of the IEEE 14-bus system with 100% renewable penetration, by utilizing grid-forming converter-enabled PhotoVoltaic (PV) plants. This work demonstrates a BS sequence, driven by grid-forming enabled PV plants in a network comprised of passive/motor loads and a grid-following plant. The utilized system is implemented in PSCAD. The focus of this work is to highlight the most impactful steps of this process and demonstrate that the utilized controls keep the system within acceptable operational bounds. In addition, the impact of droop control tuning on synchronization and frequency response is discussed and finally, the transient stability and voltage ride-through capability of the system following a severe fault is presented.
{"title":"Blackstart and Restoration of 100% Renewable Power Systems with Grid Forming Converters","authors":"Stavros Konstantinopoulos, D. Ramasubramanian, E. Farantatos, V. Singhvi","doi":"10.1109/PESGM48719.2022.9916718","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916718","url":null,"abstract":"Blackstart (BS) is one of the most challenging processes in power system operations planning. The availability of resources, determining the order of element energization while adhering to the grid's operational constraints, makes this problem extremely complex. This task can become even more daunting in the future, where the majority of the available generation will be converter-based. In this work, we demonstrate the energization process of the IEEE 14-bus system with 100% renewable penetration, by utilizing grid-forming converter-enabled PhotoVoltaic (PV) plants. This work demonstrates a BS sequence, driven by grid-forming enabled PV plants in a network comprised of passive/motor loads and a grid-following plant. The utilized system is implemented in PSCAD. The focus of this work is to highlight the most impactful steps of this process and demonstrate that the utilized controls keep the system within acceptable operational bounds. In addition, the impact of droop control tuning on synchronization and frequency response is discussed and finally, the transient stability and voltage ride-through capability of the system following a severe fault is presented.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130842348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916723
Jacques Cartuyvels, A. Papavasiliou
Scarcity pricing has been proposed to enhance investment in flexible assets through the use of an adder on real-time energy and the application of that adder on real-time reserve. We implement a Monte-Carlo simulator for obtaining statistically confident estimates of scarcity pricing adders which is motivated from the implementation of this mechanism in Belgium. The analysis is based on a multi-level, multi-horizon simulation of day-ahead and real-time operations in the Belgian market. The methodology relies on k-means clustering for selecting a set of representative day-ahead forecasts, followed by the generation of synthetic real-time load scenarios for simulating real-time operations.
{"title":"Calibration of Operating Reserve Demand Curves using Monte Carlo Simulations","authors":"Jacques Cartuyvels, A. Papavasiliou","doi":"10.1109/PESGM48719.2022.9916723","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916723","url":null,"abstract":"Scarcity pricing has been proposed to enhance investment in flexible assets through the use of an adder on real-time energy and the application of that adder on real-time reserve. We implement a Monte-Carlo simulator for obtaining statistically confident estimates of scarcity pricing adders which is motivated from the implementation of this mechanism in Belgium. The analysis is based on a multi-level, multi-horizon simulation of day-ahead and real-time operations in the Belgian market. The methodology relies on k-means clustering for selecting a set of representative day-ahead forecasts, followed by the generation of synthetic real-time load scenarios for simulating real-time operations.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125432843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916958
Sayanjit Singha Roy, A. Paramane, Jiwanjot Singh, S. Chatterjee
An accurate detection of hydrophobicity grade (HG) is essential for reliable condition monitoring of polymeric outdoor insulators in wetted and humid environments and for increasing their service life as well. With the above context, this paper proposes a novel HG detection methodology by incorporating a local binary pattern texture feature infused with bi-directional long short-term memory (bi-LSTM) neural network classifier. Different experiments were carried out on 11 kV silicone rubber (SiR) polymeric insulators to emulate various hydrophobic conditions, and the images of the water droplets on the insulator surface were captured. After that, texture features were extracted from the images using a suitable pre-processing of the acquired images and the LBP technique. The extracted features were subsequently fed to a bi-LSTM classifier for HG classification, which returned high recognition accuracies in classifying different hydrophobicity grades. The proposed HG detection technique is suitable and can be implemented for remote condition monitoring purposes.
{"title":"Accurate Hydrophobicity Grade Detection of Polymeric Insulators in Extremely Wetted and Humid Environments Using Bi-LSTM Neural Network Classifier","authors":"Sayanjit Singha Roy, A. Paramane, Jiwanjot Singh, S. Chatterjee","doi":"10.1109/PESGM48719.2022.9916958","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916958","url":null,"abstract":"An accurate detection of hydrophobicity grade (HG) is essential for reliable condition monitoring of polymeric outdoor insulators in wetted and humid environments and for increasing their service life as well. With the above context, this paper proposes a novel HG detection methodology by incorporating a local binary pattern texture feature infused with bi-directional long short-term memory (bi-LSTM) neural network classifier. Different experiments were carried out on 11 kV silicone rubber (SiR) polymeric insulators to emulate various hydrophobic conditions, and the images of the water droplets on the insulator surface were captured. After that, texture features were extracted from the images using a suitable pre-processing of the acquired images and the LBP technique. The extracted features were subsequently fed to a bi-LSTM classifier for HG classification, which returned high recognition accuracies in classifying different hydrophobicity grades. The proposed HG detection technique is suitable and can be implemented for remote condition monitoring purposes.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123259288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917114
Lai Cui, Yang Liu
The fault current caused by a high impedance fault is not sufficient to trigger overcurrent protection relays, which may lead to serious power accidents, fires, or even explosions in the distribution network, resulting in casualties as well as significant economic losses.This paper proposes a high impedance fault detection method using Wasserstein distance metric. Firstly, we obtain the corresponding principal components from the measurement data matrix by principal component analysis. Secondly, we segment the resulting first principal component through the data window and calculate the Wasserstein distance between the data distribution of the first principal component and the normal reference principal component. Finally, the distance measurement results are judged by the threshold line and the judgment time to detect the HIF in the system. Simulation results and field measurement results verified the performance of the proposed method.
{"title":"High impedance fault detection method based on Data divergence in the distribution network","authors":"Lai Cui, Yang Liu","doi":"10.1109/PESGM48719.2022.9917114","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917114","url":null,"abstract":"The fault current caused by a high impedance fault is not sufficient to trigger overcurrent protection relays, which may lead to serious power accidents, fires, or even explosions in the distribution network, resulting in casualties as well as significant economic losses.This paper proposes a high impedance fault detection method using Wasserstein distance metric. Firstly, we obtain the corresponding principal components from the measurement data matrix by principal component analysis. Secondly, we segment the resulting first principal component through the data window and calculate the Wasserstein distance between the data distribution of the first principal component and the normal reference principal component. Finally, the distance measurement results are judged by the threshold line and the judgment time to detect the HIF in the system. Simulation results and field measurement results verified the performance of the proposed method.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126354589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/pesgm48719.2022.9916962
Álvaro García-Cerezo, R. García-Bertrand, L. Baringo
The use of historical data in transmission network expansion planning problems is key to represent the short-term uncertainties in demand and stochastic renewable production conditions. Nevertheless, the use of all available historical data leads to intractable problems. For this reason, input data should be reduced while keeping important information about the system under study. Several clustering methods have been used in the technical literature for this purpose, but these generally do not represent extreme conditions such as peak demand levels, which may be critical to avoid load shedding. This paper proposes a novel approach to obtain representative time periods based on the maximum dissimilarity algorithm, which properly represents these extreme conditions. Numerical results show that the load is completely supplied using the proposed technique in all cases and that the number of required representative time periods is significantly reduced in comparison with other techniques, which translates into a reduction of the complexity of the transmission expansion planning problem.
{"title":"Enhanced Representative Time Periods for Transmission Expansion Planning Problems","authors":"Álvaro García-Cerezo, R. García-Bertrand, L. Baringo","doi":"10.1109/pesgm48719.2022.9916962","DOIUrl":"https://doi.org/10.1109/pesgm48719.2022.9916962","url":null,"abstract":"The use of historical data in transmission network expansion planning problems is key to represent the short-term uncertainties in demand and stochastic renewable production conditions. Nevertheless, the use of all available historical data leads to intractable problems. For this reason, input data should be reduced while keeping important information about the system under study. Several clustering methods have been used in the technical literature for this purpose, but these generally do not represent extreme conditions such as peak demand levels, which may be critical to avoid load shedding. This paper proposes a novel approach to obtain representative time periods based on the maximum dissimilarity algorithm, which properly represents these extreme conditions. Numerical results show that the load is completely supplied using the proposed technique in all cases and that the number of required representative time periods is significantly reduced in comparison with other techniques, which translates into a reduction of the complexity of the transmission expansion planning problem.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"19 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121325364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917025
Xingguo Wang, Yarong Guo, Zexin Zhou
For improving the speed and sensitivity of bus fault identification, a fast fault identification method based on current sample data is proposed. The current sample date of three phases at the same time is used to identify internal and external fault of bus. The operation time difference of internal fault identification method and external fault identification method also can be used to identify current transformer saturation. The start element performance is not impacted by data window and frequency. The sensitivity of criterion proposed was superior to present criterion. RTDS (Real Time Digital System) simulation results verify the sensitivity and rapidity of bus identification method.
{"title":"A Sensitive Fault Identification Method of Bus Based on Current Sample Data","authors":"Xingguo Wang, Yarong Guo, Zexin Zhou","doi":"10.1109/PESGM48719.2022.9917025","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917025","url":null,"abstract":"For improving the speed and sensitivity of bus fault identification, a fast fault identification method based on current sample data is proposed. The current sample date of three phases at the same time is used to identify internal and external fault of bus. The operation time difference of internal fault identification method and external fault identification method also can be used to identify current transformer saturation. The start element performance is not impacted by data window and frequency. The sensitivity of criterion proposed was superior to present criterion. RTDS (Real Time Digital System) simulation results verify the sensitivity and rapidity of bus identification method.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"63 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122331214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917240
S. Sridhar, C. Holland, Ankit Singhal, M. Kintner-Meyer, Katherine E. Wolf, A. James, Jordan Smith, M. Dayhim, F. M. Gonzales
Anticipated growth in Electric Vehicles (EV) adoption could stress distribution system circuits beyond their original design limits. Uncertainties related to when households will begin buying EVs in large numbers challenges existing distribution system planning approaches and complicates efforts to assess grid impacts. Anticipated location, timing, and demand for EV charging is critical information for distribution system planners as it guides investment strategies for infrastructure upgrades to ensure continued reliability. This research makes two significant contributions: an EV adoption model that uses socio-economic data to forecast location and year-specific adoption patterns through a bottoms-up approach, and an EV hosting capacity assessment methodology that offers improvements to current utility planning and asset management practices for infrastructure investments. Both contributions are applied to a Southern California Edison feeder in 7 adoption years from 2025 to 2050, with the results indicating that they are likely valuable additions to distribution systems planning capabilities.
{"title":"Distribution System Planning for Growth in Residential Electric Vehicle Adoption","authors":"S. Sridhar, C. Holland, Ankit Singhal, M. Kintner-Meyer, Katherine E. Wolf, A. James, Jordan Smith, M. Dayhim, F. M. Gonzales","doi":"10.1109/PESGM48719.2022.9917240","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917240","url":null,"abstract":"Anticipated growth in Electric Vehicles (EV) adoption could stress distribution system circuits beyond their original design limits. Uncertainties related to when households will begin buying EVs in large numbers challenges existing distribution system planning approaches and complicates efforts to assess grid impacts. Anticipated location, timing, and demand for EV charging is critical information for distribution system planners as it guides investment strategies for infrastructure upgrades to ensure continued reliability. This research makes two significant contributions: an EV adoption model that uses socio-economic data to forecast location and year-specific adoption patterns through a bottoms-up approach, and an EV hosting capacity assessment methodology that offers improvements to current utility planning and asset management practices for infrastructure investments. Both contributions are applied to a Southern California Edison feeder in 7 adoption years from 2025 to 2050, with the results indicating that they are likely valuable additions to distribution systems planning capabilities.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"109 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114091370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917233
M. Izadi, M. Mousavi, J. Lim, Hamed Mohsenian-Rad
Event location identification is a challenging task in power distribution feeders due to limited number of measurement devices. Another challenge is the lack of access to reliable information on network parameters. This paper proposes a new method to address both challenges. We identify the location of the events in distribution feeders using synchro-waveform measurements from a group of line-mounted sensors, which are inexpensive and easy to install. Importantly, we do not require any prior knowledge about the network parameters, i.e., the impedance of the distribution lines and the loading at each bus. The sensors in this study measure the time-domain waveforms for electric field and current; they do not measure voltage. First, the voltage waveform is approximated from the available electric field waveform measurement. Next, the network parameters are estimated by a novel event-based method using data from a few locationally scarce synchro-waveform measurements. Finally, the location of the event is identified by analyzing a data-driven reconstructed circuit model. The method is applied to real-world measurements from a distribution feeder in the United States. Despite not using any knowledge about the network parameters and also using measurements from only a few sensors, the results demonstrate the accuracy and consistency of the proposed framework in identifying the location of the events.
{"title":"Data-Driven Event Location Identification Without Knowing Network Parameters Using Synchronized Electric-Field and Current Waveform Data","authors":"M. Izadi, M. Mousavi, J. Lim, Hamed Mohsenian-Rad","doi":"10.1109/PESGM48719.2022.9917233","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917233","url":null,"abstract":"Event location identification is a challenging task in power distribution feeders due to limited number of measurement devices. Another challenge is the lack of access to reliable information on network parameters. This paper proposes a new method to address both challenges. We identify the location of the events in distribution feeders using synchro-waveform measurements from a group of line-mounted sensors, which are inexpensive and easy to install. Importantly, we do not require any prior knowledge about the network parameters, i.e., the impedance of the distribution lines and the loading at each bus. The sensors in this study measure the time-domain waveforms for electric field and current; they do not measure voltage. First, the voltage waveform is approximated from the available electric field waveform measurement. Next, the network parameters are estimated by a novel event-based method using data from a few locationally scarce synchro-waveform measurements. Finally, the location of the event is identified by analyzing a data-driven reconstructed circuit model. The method is applied to real-world measurements from a distribution feeder in the United States. Despite not using any knowledge about the network parameters and also using measurements from only a few sensors, the results demonstrate the accuracy and consistency of the proposed framework in identifying the location of the events.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9916909
M. Mukherjee, D. Sebastian-Cardenas, S. Balamurugan, Grant Johnson, Sri Nikhil Gupta Gourisetti, S. Credle, D. Cutler, Bishnu Bhattarai, B. Johnson
As the number of distributed energy resources (DERs) continue to increase across energy-delivery systems, there remains a need for integrating their capabilities into traditional grid operations. In this paper a blockchain-based solution is proposed to facilitate FERC's Order No. 2222 implementations. The presented use-case enables small-scale DERs to participate in wholesale market operations through DER aggregators, while also enabling local distribution system operators to enforce distribution system constraints in a secure and traceable manner. The presented use case is built around the Unified Testing Platform (UTP) being developed as a part of the Blockchain for Optimized Security and Energy Management (BLOSEM) project. This is a multi-lab effort intended to simplify the deployment of blockchain-powered grid solutions by enabling the integration of simulation tools, and blockchain technologies through the use of system-agnostic interfaces that provide a modular, interoperable, and reusable connectivity layer.
{"title":"A Blockchain Based Co-simulation Framework for Integrating DERs to Wholesale Electricity Markets","authors":"M. Mukherjee, D. Sebastian-Cardenas, S. Balamurugan, Grant Johnson, Sri Nikhil Gupta Gourisetti, S. Credle, D. Cutler, Bishnu Bhattarai, B. Johnson","doi":"10.1109/PESGM48719.2022.9916909","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9916909","url":null,"abstract":"As the number of distributed energy resources (DERs) continue to increase across energy-delivery systems, there remains a need for integrating their capabilities into traditional grid operations. In this paper a blockchain-based solution is proposed to facilitate FERC's Order No. 2222 implementations. The presented use-case enables small-scale DERs to participate in wholesale market operations through DER aggregators, while also enabling local distribution system operators to enforce distribution system constraints in a secure and traceable manner. The presented use case is built around the Unified Testing Platform (UTP) being developed as a part of the Blockchain for Optimized Security and Energy Management (BLOSEM) project. This is a multi-lab effort intended to simplify the deployment of blockchain-powered grid solutions by enabling the integration of simulation tools, and blockchain technologies through the use of system-agnostic interfaces that provide a modular, interoperable, and reusable connectivity layer.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121711649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-17DOI: 10.1109/PESGM48719.2022.9917032
D. Obradović, Marina Oluić, R. Eriksson, M. Ghandhari
This paper presents a comprehensive analysis of the impact that supplementary power control of an HVDC link has on the electromechanical dynamics of power systems. The presented work addresses an interesting phenomenon that may occur when an HVDC power controller is installed to support frequency stability. In specific cases, a high gain HVDC frequency controller could deteriorate system damping. The given analytical study is the first of its kind that addresses this issue by including both: (i) the important higher-order generator dynamics that affect small signal stability simultaneously with an HVDC control as well as (ii) the available local angle/frequency input signals of the controller. The methodological approach here analytically formulates the impact an HVDC control has on the single generator dynamics. Furthermore, the relationship between the damping/synchronizing coefficients and the HVDC gain is explicitly derived when a frequency proportional HVDC controller is installed. The derived expressions confirm that, indeed, there is an optimal HVDC gain with respect to the damping coefficient and a typically positive impact of the HVDC controller on the synchronizing component. Finally, the developed theoretical foundation is demonstrated by the tools of linear and nonlinear analysis in a one-machine system case study.
{"title":"Supplementary Power Control of an HVDC System and its Impact on Electromechanical Dynamics","authors":"D. Obradović, Marina Oluić, R. Eriksson, M. Ghandhari","doi":"10.1109/PESGM48719.2022.9917032","DOIUrl":"https://doi.org/10.1109/PESGM48719.2022.9917032","url":null,"abstract":"This paper presents a comprehensive analysis of the impact that supplementary power control of an HVDC link has on the electromechanical dynamics of power systems. The presented work addresses an interesting phenomenon that may occur when an HVDC power controller is installed to support frequency stability. In specific cases, a high gain HVDC frequency controller could deteriorate system damping. The given analytical study is the first of its kind that addresses this issue by including both: (i) the important higher-order generator dynamics that affect small signal stability simultaneously with an HVDC control as well as (ii) the available local angle/frequency input signals of the controller. The methodological approach here analytically formulates the impact an HVDC control has on the single generator dynamics. Furthermore, the relationship between the damping/synchronizing coefficients and the HVDC gain is explicitly derived when a frequency proportional HVDC controller is installed. The derived expressions confirm that, indeed, there is an optimal HVDC gain with respect to the damping coefficient and a typically positive impact of the HVDC controller on the synchronizing component. Finally, the developed theoretical foundation is demonstrated by the tools of linear and nonlinear analysis in a one-machine system case study.","PeriodicalId":388672,"journal":{"name":"2022 IEEE Power & Energy Society General Meeting (PESGM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121564779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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