Pub Date : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230571
Ritesh Rawat, P. Chaudhari, V. Kale
The demand for increased energy consumption has led to the integration of distributed renewable energy sources with the existing transmission and distribution systems. It has helped in reducing dependency on conventional power generating sources. However, the integration of such sources has led to a rise in fault current levels. This causes overriding the capacity of existing switch-gear and protection devices. Superconducting fault current limiters (SFCL) have come up as a solution to mitigate the effect of rising fault current levels causing mal-operation of the protection devices. In this paper, a modification in the model of an existing Hybrid-SFCL has been proposed to enhance its electrical characteristics. A three-phase power system is simulated to show its efficacy. The results of the existing and modified Hybrid-SFCL models are compared. The analysis has been done in MATLAB/Simulink to validate the proposed model and its performance has been investigated.
{"title":"A modified SFCL model performance investigation for a three-phase transmission network","authors":"Ritesh Rawat, P. Chaudhari, V. Kale","doi":"10.1109/POWERCON48463.2020.9230571","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230571","url":null,"abstract":"The demand for increased energy consumption has led to the integration of distributed renewable energy sources with the existing transmission and distribution systems. It has helped in reducing dependency on conventional power generating sources. However, the integration of such sources has led to a rise in fault current levels. This causes overriding the capacity of existing switch-gear and protection devices. Superconducting fault current limiters (SFCL) have come up as a solution to mitigate the effect of rising fault current levels causing mal-operation of the protection devices. In this paper, a modification in the model of an existing Hybrid-SFCL has been proposed to enhance its electrical characteristics. A three-phase power system is simulated to show its efficacy. The results of the existing and modified Hybrid-SFCL models are compared. The analysis has been done in MATLAB/Simulink to validate the proposed model and its performance has been investigated.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114626163","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230573
S. Ediriweera, P. Jayarathna, R. Samarasinghe, R. Lucas
The present paper is aimed at the use of solid material samples with square and circular uniform cross-section for analyzing fractal characteristics of creeping discharges propagating over solid/liquid interfaces under alternating current voltages. Considered solid insulating samples are made of glass and acrylic materials. A test set up based on a point-plane electrode arrangement is used to initiate creeping discharge in a laboratory environment. These configurations are used to analyze the effect of the shape of the cross section of the solid material on the fractal dimension calculated by box counting method and the area of the discharge patterns. Results show that the shape of the cross section of the solid dielectric material does not have a significant effect on the fractal dimension. However, it affects the area of the discharge patterns.
{"title":"Effect of the Shape of the Cross Section of the Solid Insulators Immersed in Coconut Oil on the Area and the Dimension of Creeping Discharge Propagation","authors":"S. Ediriweera, P. Jayarathna, R. Samarasinghe, R. Lucas","doi":"10.1109/POWERCON48463.2020.9230573","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230573","url":null,"abstract":"The present paper is aimed at the use of solid material samples with square and circular uniform cross-section for analyzing fractal characteristics of creeping discharges propagating over solid/liquid interfaces under alternating current voltages. Considered solid insulating samples are made of glass and acrylic materials. A test set up based on a point-plane electrode arrangement is used to initiate creeping discharge in a laboratory environment. These configurations are used to analyze the effect of the shape of the cross section of the solid material on the fractal dimension calculated by box counting method and the area of the discharge patterns. Results show that the shape of the cross section of the solid dielectric material does not have a significant effect on the fractal dimension. However, it affects the area of the discharge patterns.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123185506","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230576
Nishan Withana, V. Gamage, Channa Silva, R. Samarasinghe
In consequence to the aggravation of adverse environmental impacts on the extensive use of fossil fuel-based energy resources, the world has focused on renewable energy resources which are greener and cleaner to indulge their energy requirements in the fields of transportation, heating and electricity. A new set of technical difficulties has popped up as a result of renewable additions in the distribution networks, which can be overcome by introducing Battery Energy Storage Systems alongside with renewable generation. Finances associated with the Battery Storage have been the main restraining factor, which hinders the use of them in residential scale solar photovoltaic systems. This paper evaluates the financial viability of incorporating battery energy storage systems alongside solar photovoltaics by developing an algorithm to determine the battery size with the maximum economic benefit, which is followed by a comparative analysis carried out between the solar photovoltaic with battery system and the solar photovoltaic only system. Finally, a suitable tariff structure is proposed, which would enhance the attractiveness of solar photovoltaics with battery system.
{"title":"Financial Feasibility of Battery Storage based Approach for Renewable Rich Distribution Feeders","authors":"Nishan Withana, V. Gamage, Channa Silva, R. Samarasinghe","doi":"10.1109/POWERCON48463.2020.9230576","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230576","url":null,"abstract":"In consequence to the aggravation of adverse environmental impacts on the extensive use of fossil fuel-based energy resources, the world has focused on renewable energy resources which are greener and cleaner to indulge their energy requirements in the fields of transportation, heating and electricity. A new set of technical difficulties has popped up as a result of renewable additions in the distribution networks, which can be overcome by introducing Battery Energy Storage Systems alongside with renewable generation. Finances associated with the Battery Storage have been the main restraining factor, which hinders the use of them in residential scale solar photovoltaic systems. This paper evaluates the financial viability of incorporating battery energy storage systems alongside solar photovoltaics by developing an algorithm to determine the battery size with the maximum economic benefit, which is followed by a comparative analysis carried out between the solar photovoltaic with battery system and the solar photovoltaic only system. Finally, a suitable tariff structure is proposed, which would enhance the attractiveness of solar photovoltaics with battery system.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116563135","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230541
Samya Deb Bhattacharya, G. Gurrala, A. Kar, V. Reddy, K. S. Vyas, Dhanunjayudu Nasika
Significant integration of renewable energy sources with conventional thermal, hydro and nuclear power poses several operational challenges to grid operators. Small signal instability caused by electro-mechanical oscillatory modes is one such example. Oscillations of considerable magnitude are being frequently witnessed in India by the operators in recent years. Power System Stabilizers (PSS) play an important role in the interconnected systems to damp out the spurious oscillations. Multi band power system stabilizer (MB-PSS), also known as IEEE-PSS4B, can be more effective than the conventional speed input and dual input PSS. In this paper implementation of IEEE-PSS4B in the BHEL static excitation equipment (SEE) controller is discussed. The effectiveness of the PSS4B is tested using hardware-in-loop testing with RTDS. A single machine infinite bus system and a 5 generator 10 bus system is simulated in RTDS. One of the generator's excitation system is replaced with SEE hardware in a closed loop configuration. The real-time simulation results under small and large disturbances are provided to show the effectiveness of the PSS4B functionality enabled in the SEE.
{"title":"IEEE PSS4B implementation in Static Excitation System and Hardware-in-Loop Testing with RTDS","authors":"Samya Deb Bhattacharya, G. Gurrala, A. Kar, V. Reddy, K. S. Vyas, Dhanunjayudu Nasika","doi":"10.1109/POWERCON48463.2020.9230541","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230541","url":null,"abstract":"Significant integration of renewable energy sources with conventional thermal, hydro and nuclear power poses several operational challenges to grid operators. Small signal instability caused by electro-mechanical oscillatory modes is one such example. Oscillations of considerable magnitude are being frequently witnessed in India by the operators in recent years. Power System Stabilizers (PSS) play an important role in the interconnected systems to damp out the spurious oscillations. Multi band power system stabilizer (MB-PSS), also known as IEEE-PSS4B, can be more effective than the conventional speed input and dual input PSS. In this paper implementation of IEEE-PSS4B in the BHEL static excitation equipment (SEE) controller is discussed. The effectiveness of the PSS4B is tested using hardware-in-loop testing with RTDS. A single machine infinite bus system and a 5 generator 10 bus system is simulated in RTDS. One of the generator's excitation system is replaced with SEE hardware in a closed loop configuration. The real-time simulation results under small and large disturbances are provided to show the effectiveness of the PSS4B functionality enabled in the SEE.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116020240","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230539
D. J, Z. Rather, B. Pal
Large scale deployment of various Renewable Energy Sources (RES) due to climatic issues and depletion of fossil fuels has led to significant RES generation share in power systems especially from Solar Photovoltaic (PV). Among the various challenges of higher solar PV integration, voltage and frequency stability issues are of major concern to the system operator. Voltage dip induced frequency excursions due to delayed active power recovery from the solar PV systems following a network fault is one such critical issue that has not been investigated enough and reported in the literature. This paper examines potential impact of such delayed active power recovery from utility scale solar PV systems, and its effect on the system frequency stability under increasing PV penetration levels. The studies have been carried out on modified New England Benchmark system and Gujarat state power system in India for various system scenarios and cases.
{"title":"Voltage-dip Induced Frequency Excursions in Solar PV Power Integrated Power System","authors":"D. J, Z. Rather, B. Pal","doi":"10.1109/POWERCON48463.2020.9230539","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230539","url":null,"abstract":"Large scale deployment of various Renewable Energy Sources (RES) due to climatic issues and depletion of fossil fuels has led to significant RES generation share in power systems especially from Solar Photovoltaic (PV). Among the various challenges of higher solar PV integration, voltage and frequency stability issues are of major concern to the system operator. Voltage dip induced frequency excursions due to delayed active power recovery from the solar PV systems following a network fault is one such critical issue that has not been investigated enough and reported in the literature. This paper examines potential impact of such delayed active power recovery from utility scale solar PV systems, and its effect on the system frequency stability under increasing PV penetration levels. The studies have been carried out on modified New England Benchmark system and Gujarat state power system in India for various system scenarios and cases.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133981077","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230627
P. Mohanty, P. Jena, N. Padhy
With the help of artificial intelligence and advanced metering infrastructure (AMI), the analysis of electric vehicle integration will play a vital role in the future smart grid. Because getting data from smart appliances, processing that data using advanced techniques to get the desired output in near real-time is going to be a significant advantage of the smart grid. In this paper, a machine learning technique called support vector machine(SVM) is used to analyze the home charge scheduling. With the help of user energy consumption, electric vehicle SOC information at different time intervals, it can predict the status of the electric vehicle, i.e., Idle, Grid to Vehicle(G2V), or Vehicle to Grid(V2G) with close to cent percent accuracy. The results show the advantage of the SVM technique for analysis of home charge scheduling using intermediate EV data.
{"title":"Home Electric Vehicle Charge Scheduling Using Machine Learning Technique","authors":"P. Mohanty, P. Jena, N. Padhy","doi":"10.1109/POWERCON48463.2020.9230627","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230627","url":null,"abstract":"With the help of artificial intelligence and advanced metering infrastructure (AMI), the analysis of electric vehicle integration will play a vital role in the future smart grid. Because getting data from smart appliances, processing that data using advanced techniques to get the desired output in near real-time is going to be a significant advantage of the smart grid. In this paper, a machine learning technique called support vector machine(SVM) is used to analyze the home charge scheduling. With the help of user energy consumption, electric vehicle SOC information at different time intervals, it can predict the status of the electric vehicle, i.e., Idle, Grid to Vehicle(G2V), or Vehicle to Grid(V2G) with close to cent percent accuracy. The results show the advantage of the SVM technique for analysis of home charge scheduling using intermediate EV data.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132057861","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230535
D. S. Tripathy, B. Prusty, D. Jena
The globally increasing demand for energy to carry out the various day-to-day activities needs renewable sources in conjunction with existing power plants. PV technology has seen tremendous growth over the past decades. However, the integration of PV generation to the power systems invites numerous planning and operational challenges. In the short-term, the real-time operation of PV-integrated power systems requires the characterization of the uncertainties associated with the PV generation. A probabilistic framework, such as the quantile regression averaging (QRA), has been successful in forecasting load power and electricity spot prices. This paper applies QRA to accomplish a probabilistic forecast of PV generation using its historical record from a rooftop installation at Lincoln, USA. This paper's main contribution is the use of two appropriate individual point forecasters, i.e., autoregressive conditional heteroscedastic and multiple linear regression models, to complement each other and make accurate quantile forecasts. The proposed model is used in the short-term forecasting of PV generation for the four major seasons up to two weeks ahead. A detailed result analysis shows that the combination of both models improves overall forecasting performance rather than using any of the models alone.
{"title":"Short-Term PV Generation Forecasting Using Quantile Regression Averaging","authors":"D. S. Tripathy, B. Prusty, D. Jena","doi":"10.1109/POWERCON48463.2020.9230535","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230535","url":null,"abstract":"The globally increasing demand for energy to carry out the various day-to-day activities needs renewable sources in conjunction with existing power plants. PV technology has seen tremendous growth over the past decades. However, the integration of PV generation to the power systems invites numerous planning and operational challenges. In the short-term, the real-time operation of PV-integrated power systems requires the characterization of the uncertainties associated with the PV generation. A probabilistic framework, such as the quantile regression averaging (QRA), has been successful in forecasting load power and electricity spot prices. This paper applies QRA to accomplish a probabilistic forecast of PV generation using its historical record from a rooftop installation at Lincoln, USA. This paper's main contribution is the use of two appropriate individual point forecasters, i.e., autoregressive conditional heteroscedastic and multiple linear regression models, to complement each other and make accurate quantile forecasts. The proposed model is used in the short-term forecasting of PV generation for the four major seasons up to two weeks ahead. A detailed result analysis shows that the combination of both models improves overall forecasting performance rather than using any of the models alone.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131867488","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230559
Pranjal Sen, D. Das
This paper aims at comparing different optimisation techniques, for finding the charge and discharge schedule of a battery energy storage system (BESS) in a grid-connected microgrid. One of the techniques, based on linear programming (LP), targets to reduce the energy intake from the grid and the diesel generator present in the microgrid. The other technique based on dynamic programming (DP-I), aims towards developing a day-ahead schedule which ensures minimum operating cost of the microgrid throughout the day. The paper also proposes a modified charge/discharge cycle constrained dynamic programming technique with an objective similar to DP-I, but it also aims towards bringing down the number of charge/discharge cycles in a planning day. The effects of the battery schedules prepared from all the three strategies on the lifetime time of the battery, are also compared. This work uses an 192-hour model of aggregated seasonal data of solar, wind, and load demand, along with an aging model in predicting the lifetime of the battery. The proposed work is demonstrated in a 33-bus distribution network.
{"title":"Optimal operation of grid-connected microgrid with renewable generation and battery energy storage","authors":"Pranjal Sen, D. Das","doi":"10.1109/POWERCON48463.2020.9230559","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230559","url":null,"abstract":"This paper aims at comparing different optimisation techniques, for finding the charge and discharge schedule of a battery energy storage system (BESS) in a grid-connected microgrid. One of the techniques, based on linear programming (LP), targets to reduce the energy intake from the grid and the diesel generator present in the microgrid. The other technique based on dynamic programming (DP-I), aims towards developing a day-ahead schedule which ensures minimum operating cost of the microgrid throughout the day. The paper also proposes a modified charge/discharge cycle constrained dynamic programming technique with an objective similar to DP-I, but it also aims towards bringing down the number of charge/discharge cycles in a planning day. The effects of the battery schedules prepared from all the three strategies on the lifetime time of the battery, are also compared. This work uses an 192-hour model of aggregated seasonal data of solar, wind, and load demand, along with an aging model in predicting the lifetime of the battery. The proposed work is demonstrated in a 33-bus distribution network.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115412151","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}
In order to reduce industrial pollution, various policies have been issued in many countries and regions encouraging businesses to install pollution control equipment (PCE). However, some businesses do not use PCE as required, which is currently a blind spot for the regulatory authorities. Advanced metering infrastructure (AMI) provides large amount of electrical data which can well characterize the operating states of PCE. To this end, the anomaly detection of pollution control equipment (ADPCE) based on AMI data analytics is proposed in this paper. Clustering and Gaussian models (CGM) are used as the basic tools to identify the abnormal conditions of PCE, and convolutional neural network (CNN) is further introduced to detect the anomalies when the PCE is suspected to be replaced by a similar process equipment. The case study using realistic and simulated data demonstrates the validity of the proposed methods. The achievements made in this paper can effectively help the government supervise the implementation of pollution control by relevant businesses.
{"title":"Anomaly Detection of Pollution Control Equipment Based on AMI Data Analytics","authors":"Changyu Chen, Zhihan Xie, Liang Wang, Yunfu Xie, Guangchao Geng, Heyang Yu","doi":"10.1109/POWERCON48463.2020.9230613","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230613","url":null,"abstract":"In order to reduce industrial pollution, various policies have been issued in many countries and regions encouraging businesses to install pollution control equipment (PCE). However, some businesses do not use PCE as required, which is currently a blind spot for the regulatory authorities. Advanced metering infrastructure (AMI) provides large amount of electrical data which can well characterize the operating states of PCE. To this end, the anomaly detection of pollution control equipment (ADPCE) based on AMI data analytics is proposed in this paper. Clustering and Gaussian models (CGM) are used as the basic tools to identify the abnormal conditions of PCE, and convolutional neural network (CNN) is further introduced to detect the anomalies when the PCE is suspected to be replaced by a similar process equipment. The case study using realistic and simulated data demonstrates the validity of the proposed methods. The achievements made in this paper can effectively help the government supervise the implementation of pollution control by relevant businesses.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122506255","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 : 2020-09-14DOI: 10.1109/POWERCON48463.2020.9230575
Yi Tang, P. Chang, Jianfeng Dai, Jun Yi, Weifang Lin, F. Yu
With the increasing penetration of power electronic power sources represented by wind power, the problem of static voltage stability gradually becomes apparent. The maximum wind penetration level considering static voltage stability constraint needs to be evaluated in order to provide a basis for the planning and design and dispatch control of the power system. Thus, based on a static voltage stability margin index of line power operation curve, this paper proposes a method for evaluating the maximum penetration of wind power under static voltage stability constraint. Firstly, a method of calculating the static voltage stability margin index is analyzed. Then, the equivalent model of wind power grid connection is used to analyze the influence mechanism of wind power access on static voltage stability. Then the evaluation process of maximum wind penetration level is established by combining margin index and influence mechanism. Finally, the feasibility and effectiveness of the proposed method are proved in the IEEE 39 node system. The simulation results demonstrate that the margin index is reasonable, and the evaluation results of the maximum wind penetration level of the key nodes are given, providing an important basis for the maximum consumption of wind power generation and the planning of regional wind power.
{"title":"Evaluation Method of Maximum Wind Penetration Level Considering Static Voltage Stability Constraint","authors":"Yi Tang, P. Chang, Jianfeng Dai, Jun Yi, Weifang Lin, F. Yu","doi":"10.1109/POWERCON48463.2020.9230575","DOIUrl":"https://doi.org/10.1109/POWERCON48463.2020.9230575","url":null,"abstract":"With the increasing penetration of power electronic power sources represented by wind power, the problem of static voltage stability gradually becomes apparent. The maximum wind penetration level considering static voltage stability constraint needs to be evaluated in order to provide a basis for the planning and design and dispatch control of the power system. Thus, based on a static voltage stability margin index of line power operation curve, this paper proposes a method for evaluating the maximum penetration of wind power under static voltage stability constraint. Firstly, a method of calculating the static voltage stability margin index is analyzed. Then, the equivalent model of wind power grid connection is used to analyze the influence mechanism of wind power access on static voltage stability. Then the evaluation process of maximum wind penetration level is established by combining margin index and influence mechanism. Finally, the feasibility and effectiveness of the proposed method are proved in the IEEE 39 node system. The simulation results demonstrate that the margin index is reasonable, and the evaluation results of the maximum wind penetration level of the key nodes are given, providing an important basis for the maximum consumption of wind power generation and the planning of regional wind power.","PeriodicalId":306418,"journal":{"name":"2020 IEEE International Conference on Power Systems Technology (POWERCON)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125362494","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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