Pub Date : 2019-05-01DOI: 10.1109/ICPS.2019.8733374
Wenli Zhu, Li Zhang, Mingliang Yang, Bo Wang
Timely and accurate forewarning of solar power ramp events (SPREs) is crucial for power system operation. In this paper, a novel forewarning method for SPREs is proposed based on credal network (CN) and imprecise Dirichlet model (IDM). A new expression of SPRE is proposed, which focuses on the power change caused by meteorological fluctuation. Considering that the single-valued probability may not provide convincing results in case of insufficient ramp event records, probability interval is adopted to reflect the ambiguous correlation between SPREs and meteorological conditions. The meteorological evidences are mapped to ramp events directly by using a CN to enhance the sensitivity of SPRE identification. Maximum weight spanning tree and greedy search are applied to build the structure of the CN. Furthermore, an extended IDM is developed to estimate the interval-valued parameters in the CN. Then, a credal classifier is established to output the ramp forewarning grade. The effectiveness of the proposed method is verified through case studies, and obvious improvement on accuracy of ramp forewarning can be seen.
{"title":"Solar Power Ramp Event Forewarning with Limited Historical Observations","authors":"Wenli Zhu, Li Zhang, Mingliang Yang, Bo Wang","doi":"10.1109/ICPS.2019.8733374","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733374","url":null,"abstract":"Timely and accurate forewarning of solar power ramp events (SPREs) is crucial for power system operation. In this paper, a novel forewarning method for SPREs is proposed based on credal network (CN) and imprecise Dirichlet model (IDM). A new expression of SPRE is proposed, which focuses on the power change caused by meteorological fluctuation. Considering that the single-valued probability may not provide convincing results in case of insufficient ramp event records, probability interval is adopted to reflect the ambiguous correlation between SPREs and meteorological conditions. The meteorological evidences are mapped to ramp events directly by using a CN to enhance the sensitivity of SPRE identification. Maximum weight spanning tree and greedy search are applied to build the structure of the CN. Furthermore, an extended IDM is developed to estimate the interval-valued parameters in the CN. Then, a credal classifier is established to output the ramp forewarning grade. The effectiveness of the proposed method is verified through case studies, and obvious improvement on accuracy of ramp forewarning can be seen.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131951164","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733327
A. Nassif, R. Torquato, Humud Said, D. Lang
Recent regulations introduced in Alberta, Canada, have resulted in a direct impact on the oil and gas industry. In particular, venting, flaring and incinerating natural gas has become an intolerable practice with small quotas and high penalties. This, coupled with the mandate to decommission the coal-fired base generation has stimulated the proliferation of Distributed Energy Resources (DERs). Many oil companies are employing gas-fired DERs to offset their byproduct gas produced during oil extraction processes. But the integration of DERs to distribution grid requires addressing concerns and requirements. Among these requirements, health and safety hazards shall be eliminated or minimized. In this industry, islanded operation of a DER is considered a safety hazard and is not permitted by the electric utility, safe in exceptional cases. The standard method to avoid islanded operation is the Direct Transfer Trip (DTT). In very exceptional cases, however, the utility may accept an alternative method. This paper addresses one of these methods and presents measurement data collected during the commissioning of one of these DERs. The case study demonstrates the effectiveness of an inverter-based active anti-islanding scheme and its adherence to applicable DER interconnection standards. It also describes the current application scenarios where the electric utility may elect to accept these schemes in lieu of the standard DTT.
{"title":"Field Verification of an Autonomous Anti-Islanding Scheme of a Microturbine Inverter-Based Generator","authors":"A. Nassif, R. Torquato, Humud Said, D. Lang","doi":"10.1109/ICPS.2019.8733327","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733327","url":null,"abstract":"Recent regulations introduced in Alberta, Canada, have resulted in a direct impact on the oil and gas industry. In particular, venting, flaring and incinerating natural gas has become an intolerable practice with small quotas and high penalties. This, coupled with the mandate to decommission the coal-fired base generation has stimulated the proliferation of Distributed Energy Resources (DERs). Many oil companies are employing gas-fired DERs to offset their byproduct gas produced during oil extraction processes. But the integration of DERs to distribution grid requires addressing concerns and requirements. Among these requirements, health and safety hazards shall be eliminated or minimized. In this industry, islanded operation of a DER is considered a safety hazard and is not permitted by the electric utility, safe in exceptional cases. The standard method to avoid islanded operation is the Direct Transfer Trip (DTT). In very exceptional cases, however, the utility may accept an alternative method. This paper addresses one of these methods and presents measurement data collected during the commissioning of one of these DERs. The case study demonstrates the effectiveness of an inverter-based active anti-islanding scheme and its adherence to applicable DER interconnection standards. It also describes the current application scenarios where the electric utility may elect to accept these schemes in lieu of the standard DTT.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121459910","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733355
S. Saleh, J. Wo, X. F. St. Onge, E. Castillo-Guerra
This paper presents a new approach for estimating the frequency changes (Df) due to the application of smart grid functions. The proposed approach is based on constructing a ZIP model to represent the power demands at certain point-of-supply, which feeds loads subject to smart grid functions. The constructed ZIP model provides a relationship between the active and reactive power demands and the frequency at that point-of-supply. Such a relationship can be formulated as a set of nonlinear equations that can be numerically solved for Df. The load-model based approach is implemented for performance evaluation using the IEEE 30 bus power system. Performance results show that the proposed approach has a simple implementation, and can provide an accurate estimation of frequency changes over long time intervals. Furthermore, the load-model approach is found capable of maintaining its accuracy without being affected by load demands, power ratings, and/or duration of demand changes.
{"title":"Estimating Frequency Changes Due to Smart Grid Functions","authors":"S. Saleh, J. Wo, X. F. St. Onge, E. Castillo-Guerra","doi":"10.1109/ICPS.2019.8733355","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733355","url":null,"abstract":"This paper presents a new approach for estimating the frequency changes (Df) due to the application of smart grid functions. The proposed approach is based on constructing a ZIP model to represent the power demands at certain point-of-supply, which feeds loads subject to smart grid functions. The constructed ZIP model provides a relationship between the active and reactive power demands and the frequency at that point-of-supply. Such a relationship can be formulated as a set of nonlinear equations that can be numerically solved for Df. The load-model based approach is implemented for performance evaluation using the IEEE 30 bus power system. Performance results show that the proposed approach has a simple implementation, and can provide an accurate estimation of frequency changes over long time intervals. Furthermore, the load-model approach is found capable of maintaining its accuracy without being affected by load demands, power ratings, and/or duration of demand changes.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122800194","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733332
Biqi Wang, Xiaodong Zheng, Lianying Ning, M. H. Nadeem
The DC side fault is a major threat to the secure operation of Modular Multilevel Converter based High Voltage Direct Current (MMC-HVDC) transmission system. Combining theoretical analysis and simulation experiment, this paper studies the fault characteristics of DC side transient voltages and currents in the MMC-HVDC double-ended transmission system in detail, and introduces the new conception of filtered differential current (FDC) to construct an effective protection criterion. Based on the transient information in FDC values, this paper proposes a novel pilot protection scheme which is able to reliably identify and classify DC side faults. The simulations implemented on real time digital simulator (RTDS) platform indicate that the proposed scheme can operate accurately and reliably under a variety of fault conditions.
{"title":"A Pilot Protection Scheme for MMC-HVDC Transmission Lines Based on Filtered Differential Current","authors":"Biqi Wang, Xiaodong Zheng, Lianying Ning, M. H. Nadeem","doi":"10.1109/ICPS.2019.8733332","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733332","url":null,"abstract":"The DC side fault is a major threat to the secure operation of Modular Multilevel Converter based High Voltage Direct Current (MMC-HVDC) transmission system. Combining theoretical analysis and simulation experiment, this paper studies the fault characteristics of DC side transient voltages and currents in the MMC-HVDC double-ended transmission system in detail, and introduces the new conception of filtered differential current (FDC) to construct an effective protection criterion. Based on the transient information in FDC values, this paper proposes a novel pilot protection scheme which is able to reliably identify and classify DC side faults. The simulations implemented on real time digital simulator (RTDS) platform indicate that the proposed scheme can operate accurately and reliably under a variety of fault conditions.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132542516","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733350
Yuhao Zhou, Long Zhao, Igor B. M. Matsuo, Weijen Lee
The developing process of the aggregated dynamic equivalent model (DEM) for wind farms could be less computational and more efficient compared with the multimachine DEM, but less accurate when wind speed differences exist inside the wind farm. In addition, the wind speed differences contributes to the different activation patterns of the crowbar systems. Therefore, a dynamic weighted aggregation modeling approach is proposed in this paper to improve the applicability of the aggregated DEM. Firstly, the Gaussian density distance clustering algorithm is applied to segment the wind speed power curve into different zones such that each segmented zone is corresponded to one equivalent aggregated machine. Then the dynamic weighted aggregation equivalent model could be developed based on the conventional aggregated DEM, where the weighting factors for each generator are calculated according to the Weibull distribution of wind speeds. Different scenarios are simulated to analyze the applicability of the proposed dynamic weighting equivalent model. The simulation results show the effectiveness of the proposed method.
{"title":"A Dynamic Weighted Aggregation Equivalent Modeling Approach for the DFIG Wind Farm Considering the Weibull Distribution","authors":"Yuhao Zhou, Long Zhao, Igor B. M. Matsuo, Weijen Lee","doi":"10.1109/ICPS.2019.8733350","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733350","url":null,"abstract":"The developing process of the aggregated dynamic equivalent model (DEM) for wind farms could be less computational and more efficient compared with the multimachine DEM, but less accurate when wind speed differences exist inside the wind farm. In addition, the wind speed differences contributes to the different activation patterns of the crowbar systems. Therefore, a dynamic weighted aggregation modeling approach is proposed in this paper to improve the applicability of the aggregated DEM. Firstly, the Gaussian density distance clustering algorithm is applied to segment the wind speed power curve into different zones such that each segmented zone is corresponded to one equivalent aggregated machine. Then the dynamic weighted aggregation equivalent model could be developed based on the conventional aggregated DEM, where the weighting factors for each generator are calculated according to the Weibull distribution of wind speeds. Different scenarios are simulated to analyze the applicability of the proposed dynamic weighting equivalent model. The simulation results show the effectiveness of the proposed method.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905775","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733370
A. Zia, Awais Saeed, Q. Malik
The Electrical Grid (EG) is considered to function as an arrangement residing of distribution, transmission and generation with the help and support of different controlling devices to sustain system constancy, productivity & reliability. Operation and control of three phase MicroGrid is about productive control and monitoring. This involves the stability of voltages and frequency at generator Bus Bar (BB). This is effectuated by maintaining the field excitation voltages of Synchronous Generator (SG) to have 380V/440V at the BB. Furthermore, frequency at the Bus Bar is maintained at approximately 50Hz by supervising the speed of prime mover. Over and done with these projects, the undergraduate students, in accumulation to triumph used to with the fundamentals of Electrical Machines. For the institution, excellence laboratory instrument was established at a low cost; it is rigid, reliable and provides maximum learning outcomes of MicroGrid. Inclusion of Synchronous Machine based Distributed Generator's to enhance stability of MicroGrid which is its biggest concern.
{"title":"Programmable Logic Controller based Automatic Voltage and Frequency Control of MicroGrid","authors":"A. Zia, Awais Saeed, Q. Malik","doi":"10.1109/ICPS.2019.8733370","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733370","url":null,"abstract":"The Electrical Grid (EG) is considered to function as an arrangement residing of distribution, transmission and generation with the help and support of different controlling devices to sustain system constancy, productivity & reliability. Operation and control of three phase MicroGrid is about productive control and monitoring. This involves the stability of voltages and frequency at generator Bus Bar (BB). This is effectuated by maintaining the field excitation voltages of Synchronous Generator (SG) to have 380V/440V at the BB. Furthermore, frequency at the Bus Bar is maintained at approximately 50Hz by supervising the speed of prime mover. Over and done with these projects, the undergraduate students, in accumulation to triumph used to with the fundamentals of Electrical Machines. For the institution, excellence laboratory instrument was established at a low cost; it is rigid, reliable and provides maximum learning outcomes of MicroGrid. Inclusion of Synchronous Machine based Distributed Generator's to enhance stability of MicroGrid which is its biggest concern.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134541528","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733367
J. Dai
This paper reports a dynamic modeling of a coal-chemical plant and studies for automatic load shedding protection. The plant had on-site generation to support partial plant loads. In the past, disconnecting from the grid had caused frequency and voltage decay in the plant electrical system to drop out some critical loads. A complete system computer model is constructed including generator dynamics and excitation and prime mover/governor control characteristics. Transient stability simulations to various loading and generation conditions were carried out to understand and study system frequency and voltage behaviors and patterns of change under a sudden islanding case by analyzing frequency vs. time and frequency change rate vs. time curves. Further, through carefully evaluating plant load priorities as well as load dependencies, several feasible load shedding control strategies were proposed and simulated by computer modeling and study. Simulation results verified that proposed load shedding schemes can correctly predicate the frequency drop thus automatically shed non-critical and independent loads to prevent system frequency drop to exceed the allowable deviation. The solution is automatic and feasible which has been successfully implemented at the plant.
{"title":"Automatic Load Shedding Protection at A Coal-Chemical Plant","authors":"J. Dai","doi":"10.1109/ICPS.2019.8733367","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733367","url":null,"abstract":"This paper reports a dynamic modeling of a coal-chemical plant and studies for automatic load shedding protection. The plant had on-site generation to support partial plant loads. In the past, disconnecting from the grid had caused frequency and voltage decay in the plant electrical system to drop out some critical loads. A complete system computer model is constructed including generator dynamics and excitation and prime mover/governor control characteristics. Transient stability simulations to various loading and generation conditions were carried out to understand and study system frequency and voltage behaviors and patterns of change under a sudden islanding case by analyzing frequency vs. time and frequency change rate vs. time curves. Further, through carefully evaluating plant load priorities as well as load dependencies, several feasible load shedding control strategies were proposed and simulated by computer modeling and study. Simulation results verified that proposed load shedding schemes can correctly predicate the frequency drop thus automatically shed non-critical and independent loads to prevent system frequency drop to exceed the allowable deviation. The solution is automatic and feasible which has been successfully implemented at the plant.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132964952","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733377
Steven H. Buehler, T. Dionise, D. Shipp, F. A. Penner, Tamer Abdelazim Mellik, T. Natali
Many modern electrical distribution systems, such as those used in data centers, demand high power densities, small electrical footprints, high efficiency transformers, redundant systems and frequent testing requiring switching at primary voltages. These various parameters that ensure the highest reliability and availability to mission-critical loads also place the facility in the highest risk category for distribution transformer failures due to primary switching transients. Over the last decade, this phenomenon has been attributed to a significant number of failures of certain types of transformers involving primary circuit breaker switching in data centers and other facilities exhibiting similar characteristics. Although the RC snubber has been proven to safely mitigate the transient overvoltage imposed on the primary winding of the transformer, manufacturers have continued to look for other solutions to the primary switching transients problem resulting in an alternative solution: a unique transient hardened transformer designed to withstand switching transients. The authors conducted an evaluation to prove analytically, through a combination of simulations and field tests, that the transient hardened transformer design will withstand switching transients without the need for transient mitigation using RC snubbers, relying only on conventionally applied surge arresters. This paper focuses specifically on data center transformers, however, the lessons learned here may be applied to numerous applications.
{"title":"Evaluation of a Unique Transient Hardened Transformer Designed to Withstand Primary Switching Transients: Simulation, Lab Tests and Analysis","authors":"Steven H. Buehler, T. Dionise, D. Shipp, F. A. Penner, Tamer Abdelazim Mellik, T. Natali","doi":"10.1109/ICPS.2019.8733377","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733377","url":null,"abstract":"Many modern electrical distribution systems, such as those used in data centers, demand high power densities, small electrical footprints, high efficiency transformers, redundant systems and frequent testing requiring switching at primary voltages. These various parameters that ensure the highest reliability and availability to mission-critical loads also place the facility in the highest risk category for distribution transformer failures due to primary switching transients. Over the last decade, this phenomenon has been attributed to a significant number of failures of certain types of transformers involving primary circuit breaker switching in data centers and other facilities exhibiting similar characteristics. Although the RC snubber has been proven to safely mitigate the transient overvoltage imposed on the primary winding of the transformer, manufacturers have continued to look for other solutions to the primary switching transients problem resulting in an alternative solution: a unique transient hardened transformer designed to withstand switching transients. The authors conducted an evaluation to prove analytically, through a combination of simulations and field tests, that the transient hardened transformer design will withstand switching transients without the need for transient mitigation using RC snubbers, relying only on conventionally applied surge arresters. This paper focuses specifically on data center transformers, however, the lessons learned here may be applied to numerous applications.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132157036","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733372
I. Matsuo, Farshid Salehi, Long Zhao, Yuhao Zhou, Weijen Lee
Frequency scan is a powerful and versatile approach for Sub-Synchronous Interaction (SSI) screening in power grids. Among different numerical and analytical frequency scan techniques, the harmonic injection method is well suited for the scan of black-box models with active elements, such as in wind farms and solar plants. The results can be used for SSI risk assessment, in which accuracy performs a decisive role. The ideal situation for this method, which leads to the most accurate results, is to perform one simulation per single-frequency harmonic injection. However, for SSI studies with a wide range of frequencies and simulations with very small time steps (scale of μs), this comes at the expense of increased simulation time and financial costs. This paper proposes a technique to improve the accuracy of the harmonic injection method through the optimization of crest factor while injecting all frequencies at one shot, therefore increasing the efficiency of the method by a considerable decrease in simulation time while maintaining good accuracy. The proposed technique was tested on a 100 MVA wind farm connected to the grid through a series-compensated line. The frequency scan results were benchmarked with both Electromagnetic Transient Simulation (EMT) and the ideal multiple single-frequency injection case and compared with other techniques. The results are indicative of the accuracy and robustness of the proposed method.
{"title":"An Optimized Frequency Scanning Tool for Sub-Synchronous Interaction Analysis of Non-Linear Devices","authors":"I. Matsuo, Farshid Salehi, Long Zhao, Yuhao Zhou, Weijen Lee","doi":"10.1109/ICPS.2019.8733372","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733372","url":null,"abstract":"Frequency scan is a powerful and versatile approach for Sub-Synchronous Interaction (SSI) screening in power grids. Among different numerical and analytical frequency scan techniques, the harmonic injection method is well suited for the scan of black-box models with active elements, such as in wind farms and solar plants. The results can be used for SSI risk assessment, in which accuracy performs a decisive role. The ideal situation for this method, which leads to the most accurate results, is to perform one simulation per single-frequency harmonic injection. However, for SSI studies with a wide range of frequencies and simulations with very small time steps (scale of μs), this comes at the expense of increased simulation time and financial costs. This paper proposes a technique to improve the accuracy of the harmonic injection method through the optimization of crest factor while injecting all frequencies at one shot, therefore increasing the efficiency of the method by a considerable decrease in simulation time while maintaining good accuracy. The proposed technique was tested on a 100 MVA wind farm connected to the grid through a series-compensated line. The frequency scan results were benchmarked with both Electromagnetic Transient Simulation (EMT) and the ideal multiple single-frequency injection case and compared with other techniques. The results are indicative of the accuracy and robustness of the proposed method.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123036320","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 : 2019-05-01DOI: 10.1109/ICPS.2019.8733325
T. Ku, C. H. Lin, C. S. Chen, C. Hsu, C.S. Li, Y. Chang
To mitigate the impact of distribution system service quality due to high penetration of PV systems, a Distribution Renewable Energy Advanced Management System (DREAMS) is developed and installed at Feng Shan District of Taiwan Power Company (Taipower). The PV gateways and the public 4G communication system are applied to monitor the power generation and the voltage of 24 PV systems and to report the operation data to the master station. The power factor for the PV smart inverter is adjusted automatically to absorb the reactive power when the overvoltage problem occurs. When the distribution automation system (DAS) performs the functions of noninterruptible load transfer and service restoration after fault contingency, the DREAMS executes the power factor control for the PV smart inverters before the line switches are operated. The coordination control of DAS and DREAMS can prevent the overvoltage problem for a distribution system during the process of load transfer between distribution feeders with high PV penetration.
{"title":"Integrated Control of Renewable Energy and Fault Restoration for Distribution Systems","authors":"T. Ku, C. H. Lin, C. S. Chen, C. Hsu, C.S. Li, Y. Chang","doi":"10.1109/ICPS.2019.8733325","DOIUrl":"https://doi.org/10.1109/ICPS.2019.8733325","url":null,"abstract":"To mitigate the impact of distribution system service quality due to high penetration of PV systems, a Distribution Renewable Energy Advanced Management System (DREAMS) is developed and installed at Feng Shan District of Taiwan Power Company (Taipower). The PV gateways and the public 4G communication system are applied to monitor the power generation and the voltage of 24 PV systems and to report the operation data to the master station. The power factor for the PV smart inverter is adjusted automatically to absorb the reactive power when the overvoltage problem occurs. When the distribution automation system (DAS) performs the functions of noninterruptible load transfer and service restoration after fault contingency, the DREAMS executes the power factor control for the PV smart inverters before the line switches are operated. The coordination control of DAS and DREAMS can prevent the overvoltage problem for a distribution system during the process of load transfer between distribution feeders with high PV penetration.","PeriodicalId":160476,"journal":{"name":"2019 IEEE/IAS 55th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128003203","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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