Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754422
Huaying Zhang, Qing Wang, Yongli Liu
The trips of industrial production process for sensitive users are caused by voltage sag, which leads to huge economic loss, so it’s urgent to install governance equipment to meet the demand for premium power. Aiming at the problems of high investment and high risk in the traditional users’ self-purchase governance equipment, a service pattern for premium power supply based on trust lease is proposed. The specific content and implementation process of the pattern are proposed to solve the three problems of sensitive loads screening, service fees optimization and service fees allocation. By defining the "capacity/loss ratio" to screen out the sensitive loads which are necessary to install the governance equipment; optimize the service fees with the goal of maximizing the net revenues of the user and the service provider; establish the asymmetric Nash negotiation model of the service fees allocation between the power company and the equipment manufacturer, and propose the strategy of service fees allocation. So far, a complete and operable service pattern has been formed. Finally, an empirical analysis of a sensitive user proves the feasibility of trust lease pattern and provides a new pattern reference for the development of premium power supply service.
{"title":"Service Pattern for Premium Power Supply Based on Trust Lease","authors":"Huaying Zhang, Qing Wang, Yongli Liu","doi":"10.1109/ICoPESA54515.2022.9754422","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754422","url":null,"abstract":"The trips of industrial production process for sensitive users are caused by voltage sag, which leads to huge economic loss, so it’s urgent to install governance equipment to meet the demand for premium power. Aiming at the problems of high investment and high risk in the traditional users’ self-purchase governance equipment, a service pattern for premium power supply based on trust lease is proposed. The specific content and implementation process of the pattern are proposed to solve the three problems of sensitive loads screening, service fees optimization and service fees allocation. By defining the \"capacity/loss ratio\" to screen out the sensitive loads which are necessary to install the governance equipment; optimize the service fees with the goal of maximizing the net revenues of the user and the service provider; establish the asymmetric Nash negotiation model of the service fees allocation between the power company and the equipment manufacturer, and propose the strategy of service fees allocation. So far, a complete and operable service pattern has been formed. Finally, an empirical analysis of a sensitive user proves the feasibility of trust lease pattern and provides a new pattern reference for the development of premium power supply service.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125082141","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754416
Qiuyang Tan, Baoyu Zhang, Zhaozhong Ruan
This paper introduces a SPICE-based evaluation platform for wide band-gap (WBG) devices based voltage source inverter (VSI) and current source inverter (CSI). VSI topology has dominated motor drive system for decades. Significant problems caused by drop-in replacement of WBG switches in VSIs were identified in previous studies. As an alternative solution, CSI shows greater compatibility with fast-switching WBG-based devices. Gallium Nitride (GaN) as one of most promising candidate in future power electronics field is selected for evaluation purpose in this work. Estimation of switching loss of VSI and CSI switches have been made based on tailored VSI and CSI DPT. In addition, the system efficiency comparison between GaN-based CSI and VSI is addressed. The LTspice is used as evaluation/simulation platform to examine the performance of VSI and CSI under high-frequency operation.
{"title":"Performance Evaluation of WBG-based Devices in VSIs and CSIs","authors":"Qiuyang Tan, Baoyu Zhang, Zhaozhong Ruan","doi":"10.1109/ICoPESA54515.2022.9754416","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754416","url":null,"abstract":"This paper introduces a SPICE-based evaluation platform for wide band-gap (WBG) devices based voltage source inverter (VSI) and current source inverter (CSI). VSI topology has dominated motor drive system for decades. Significant problems caused by drop-in replacement of WBG switches in VSIs were identified in previous studies. As an alternative solution, CSI shows greater compatibility with fast-switching WBG-based devices. Gallium Nitride (GaN) as one of most promising candidate in future power electronics field is selected for evaluation purpose in this work. Estimation of switching loss of VSI and CSI switches have been made based on tailored VSI and CSI DPT. In addition, the system efficiency comparison between GaN-based CSI and VSI is addressed. The LTspice is used as evaluation/simulation platform to examine the performance of VSI and CSI under high-frequency operation.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097044","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754434
Jia Zhao, Wei Wang, Chuangxin Guo, Hua Feng
Aiming at the environmental pressure and energy crisis in developing regions, this paper takes the regional energy supply system and each microgrid as the main body, and studies the multi-energy microgrid group collaborative planning method. The joint planning framework of the network group, through the benefits model to complete the parallel layer coupling solution in an all-round way. Secondly, the establishment of optimization, considering the user's active participation in market dispatch and load-side electricity price response, the multi-energy microgrid "source storage-load" interactive characteristics were modeled. Finally, the analytical target cascade(ATC) method is adopted, and the penalty function is introduced to solve the problem, to realize the autonomy of multi-microgrid groups, wide-area interaction, and cooperation, and the validity and effectiveness of the model are verified through simulation examples.
{"title":"Multi-energy Microgrid Group Planning Hierarchical Collaborative Optimization Configuration","authors":"Jia Zhao, Wei Wang, Chuangxin Guo, Hua Feng","doi":"10.1109/ICoPESA54515.2022.9754434","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754434","url":null,"abstract":"Aiming at the environmental pressure and energy crisis in developing regions, this paper takes the regional energy supply system and each microgrid as the main body, and studies the multi-energy microgrid group collaborative planning method. The joint planning framework of the network group, through the benefits model to complete the parallel layer coupling solution in an all-round way. Secondly, the establishment of optimization, considering the user's active participation in market dispatch and load-side electricity price response, the multi-energy microgrid \"source storage-load\" interactive characteristics were modeled. Finally, the analytical target cascade(ATC) method is adopted, and the penalty function is introduced to solve the problem, to realize the autonomy of multi-microgrid groups, wide-area interaction, and cooperation, and the validity and effectiveness of the model are verified through simulation examples.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136508","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754465
Yan Chen, Jianping Wang, Yong Zheng, Lin Zhong
In this study, a peak current mode control of Flyback converter with coupled interference signals was established. Firstly, the bifurcation and chaos phenomena of Flyback converter under this control were analyzed by numerical simulation. Then, the coupling interference signal was injected on this basis, and the existence of this breathing phenomenon was discovered through numerical simulation and circuit simulation. The stability of the system is determined by analyzing the change trajectory of the maximum modulus eigenvalue of the Jacobian matrix. Finally, the existence of breathing phenomenon was verified based on RT-LAB. The theoretical analysis results were consistent with the experimental results, the existence of the breathing phenomenon in the Flyback converter was verified.
{"title":"Analysis of Complex Breathing Phenomena in Flyback Converter Based on Peak Current Mode Control","authors":"Yan Chen, Jianping Wang, Yong Zheng, Lin Zhong","doi":"10.1109/ICoPESA54515.2022.9754465","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754465","url":null,"abstract":"In this study, a peak current mode control of Flyback converter with coupled interference signals was established. Firstly, the bifurcation and chaos phenomena of Flyback converter under this control were analyzed by numerical simulation. Then, the coupling interference signal was injected on this basis, and the existence of this breathing phenomenon was discovered through numerical simulation and circuit simulation. The stability of the system is determined by analyzing the change trajectory of the maximum modulus eigenvalue of the Jacobian matrix. Finally, the existence of breathing phenomenon was verified based on RT-LAB. The theoretical analysis results were consistent with the experimental results, the existence of the breathing phenomenon in the Flyback converter was verified.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123094250","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754483
Haihong Qin, Sixuan Xie, Wenming Chen, F. Bu, Jiangjin Peng, Dafeng Fu
Accurate measurement of the gate-source voltage for silicon carbide (SiC) MOSFET is an essential prerequisite for correctly evaluating the reliability of driving circuit. Due to the high switching speed of SiC MOSFET, it is more sensitive to parasitic parameters of circuit, the measurement error caused by traditional test methods cannot be ignored in SiC MOSFET driving circuit. In this paper, we establish the equivalent model of driving circuit considering parasitic parameters, and analyze the difference between the gate-source voltage and test voltage at different test points. Then, the influence of the driving circuit parameters and layout compactness on the test voltage error is quantitatively analyzed. And the optimum selection method of gate-source voltage test point is proposed. The experiments based on double pulse platform were given to verify the correctness of theoretical analysis and simulation results.
{"title":"Influence of Driving Circuit Parameters and Layout Compactness on the Optimum Selection of Gate-Source Voltage Test Point for SiC MOSFETs","authors":"Haihong Qin, Sixuan Xie, Wenming Chen, F. Bu, Jiangjin Peng, Dafeng Fu","doi":"10.1109/ICoPESA54515.2022.9754483","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754483","url":null,"abstract":"Accurate measurement of the gate-source voltage for silicon carbide (SiC) MOSFET is an essential prerequisite for correctly evaluating the reliability of driving circuit. Due to the high switching speed of SiC MOSFET, it is more sensitive to parasitic parameters of circuit, the measurement error caused by traditional test methods cannot be ignored in SiC MOSFET driving circuit. In this paper, we establish the equivalent model of driving circuit considering parasitic parameters, and analyze the difference between the gate-source voltage and test voltage at different test points. Then, the influence of the driving circuit parameters and layout compactness on the test voltage error is quantitatively analyzed. And the optimum selection method of gate-source voltage test point is proposed. The experiments based on double pulse platform were given to verify the correctness of theoretical analysis and simulation results.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128335890","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754421
Yu Huang, Dong Yue, C. Dou, Qingshan Xu, Guang Lin
Outlier detection is of great significance to ensure reliable and intelligent operation and maintenance of photovoltaic power (PV) plants. The PV operation data of supervisory control and data acquisition (SCADA) suffer from a high proportional of abnormality due to equipment failures and/or human activities. As a remedy, we present a novel outlier detection method, which leverages vine copulas for modeling the multivariate dependence of PV power output and different external environmental conditions. A generalized confidence interval (CI), obtained by quantile computation, is then utilized to give upper and lower thresholds for identifying outliers, which can be further optimized with the best selection of conditions. For algorithmic improvement, we combine the method with manual exclusion of three typical types of outliers in a priori. The effectiveness of the proposed method is verified by extensive case experiments using a mixture of real-world and artificial PV plant running data.
异常值检测对于保证光伏电站的可靠、智能运维具有重要意义。由于设备故障和/或人为活动，SCADA (supervisory control and data acquisition)的光伏运行数据出现异常的比例很高。作为补救措施，我们提出了一种新的异常值检测方法，该方法利用藤copula对光伏发电输出与不同外部环境条件的多元依赖关系进行建模。然后利用分位数计算得到的广义置信区间(CI)给出识别异常值的上下限阈值，并通过条件的最佳选择进一步优化。为了改进算法，我们将该方法与人工排除三种典型类型的先验异常值相结合。利用真实世界和人工光伏电站运行数据进行了大量的案例实验，验证了该方法的有效性。
{"title":"Outlier Detection Algorithm of Photovoltaic Power via Multivariate Dependence Modeling Based on Vine Copulas","authors":"Yu Huang, Dong Yue, C. Dou, Qingshan Xu, Guang Lin","doi":"10.1109/ICoPESA54515.2022.9754421","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754421","url":null,"abstract":"Outlier detection is of great significance to ensure reliable and intelligent operation and maintenance of photovoltaic power (PV) plants. The PV operation data of supervisory control and data acquisition (SCADA) suffer from a high proportional of abnormality due to equipment failures and/or human activities. As a remedy, we present a novel outlier detection method, which leverages vine copulas for modeling the multivariate dependence of PV power output and different external environmental conditions. A generalized confidence interval (CI), obtained by quantile computation, is then utilized to give upper and lower thresholds for identifying outliers, which can be further optimized with the best selection of conditions. For algorithmic improvement, we combine the method with manual exclusion of three typical types of outliers in a priori. The effectiveness of the proposed method is verified by extensive case experiments using a mixture of real-world and artificial PV plant running data.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132849740","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754471
A. Maheshwari, A. Maulik, Ashutosh Kumar Singh
An active distribution network comprises renewable generation sources like solar and wind. Also, an active distribution network feeds electrical loads and plug-in hybrid electric vehicles. An optimal active and reactive power management strategy is imperative for a technically feasible and financially viable operation. The renewable sources are interfaced via power electronic voltage source converters, which can control the reactive power injection into the network. In this paper, a joint optimal active and reactive power control strategy is proposed, which utilizes the reactive power handling capability of the voltage source converters. Uncertainties of renewable generation, load demand, grid energy price, and charging load demand of the plug-in hybrid electric vehicles are modeled and incorporated using the probabilistic "Hong's point estimate method". A group of measures like optimal procurement of active and reactive power from available resources, optimal battery energy storage scheduling, demand response, smart transformer scheduling, and network reconfiguration are carried out to maximize the expected profit of the distribution network operator. The proposed method is validated by simulation studies on a thirty-three bus active distribution network.
{"title":"Probabilistic Joint Active and Reactive Power Management in an Active Distribution Network","authors":"A. Maheshwari, A. Maulik, Ashutosh Kumar Singh","doi":"10.1109/ICoPESA54515.2022.9754471","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754471","url":null,"abstract":"An active distribution network comprises renewable generation sources like solar and wind. Also, an active distribution network feeds electrical loads and plug-in hybrid electric vehicles. An optimal active and reactive power management strategy is imperative for a technically feasible and financially viable operation. The renewable sources are interfaced via power electronic voltage source converters, which can control the reactive power injection into the network. In this paper, a joint optimal active and reactive power control strategy is proposed, which utilizes the reactive power handling capability of the voltage source converters. Uncertainties of renewable generation, load demand, grid energy price, and charging load demand of the plug-in hybrid electric vehicles are modeled and incorporated using the probabilistic \"Hong's point estimate method\". A group of measures like optimal procurement of active and reactive power from available resources, optimal battery energy storage scheduling, demand response, smart transformer scheduling, and network reconfiguration are carried out to maximize the expected profit of the distribution network operator. The proposed method is validated by simulation studies on a thirty-three bus active distribution network.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133928237","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754457
Min-gang Tan, Chao Zhang, B. Chen, Junliang Qian
It’s of great significance to extract the voltage sag disturbance with high signal-to-noise ratio (SNR) as the source of the voltage sag can be accurately traced by analyzing the disturbance. Three disturbance extraction methods and their respective advantages, disadvantages and applicable scenarios are summarized. In order to overcome the shortcomings of the existing methods, a new voltage sag disturbance extraction method with high SNR based on the idea of sine wave reconstruction is proposed. Compared with the existing methods, the new method has better performance in PQM sampling frequency, disturbance duration, and PQM recording requirements.
{"title":"Research on a New Method for Extracting Voltage Sag Disturbance","authors":"Min-gang Tan, Chao Zhang, B. Chen, Junliang Qian","doi":"10.1109/ICoPESA54515.2022.9754457","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754457","url":null,"abstract":"It’s of great significance to extract the voltage sag disturbance with high signal-to-noise ratio (SNR) as the source of the voltage sag can be accurately traced by analyzing the disturbance. Three disturbance extraction methods and their respective advantages, disadvantages and applicable scenarios are summarized. In order to overcome the shortcomings of the existing methods, a new voltage sag disturbance extraction method with high SNR based on the idea of sine wave reconstruction is proposed. Compared with the existing methods, the new method has better performance in PQM sampling frequency, disturbance duration, and PQM recording requirements.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132270885","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754461
Z. Cheng, Hong Zhang, Wenjie Xu, Fengtao Yang, Laili Wang
Planar packaging method features great thermal performance and makes large progress in wide band gap module package. However, there has been few research related to optimization parallel package methods on double-sided power modules. Inappropriate package method will restrict SiC power modules’ characteristics at high frequency and lead to lower efficiency as for several factors, such as electromagnetic interference problem caused by large parasitic capacitance, unbalanced current and overshoot voltage caused by parasitic inductance and thermal coupling. Thus, this article aims to comparatively explore the methods of integrating parallel double-sided power modules (stacked package and level package) in electrical and thermal fields. The research is based on 1.2-kV interleaved planar SiC power modules. Parasitic parameters are measured in two package modules, and switching performances are tested based on these parameters. Moreover, simulation results show that stacked package module has relatively better thermal and electrical performance than level package module.
{"title":"Comparative Evaluation and Analysis of Parallel Package Method Based on 1.2-kV Interleaved Planar SiC Power Modules","authors":"Z. Cheng, Hong Zhang, Wenjie Xu, Fengtao Yang, Laili Wang","doi":"10.1109/ICoPESA54515.2022.9754461","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754461","url":null,"abstract":"Planar packaging method features great thermal performance and makes large progress in wide band gap module package. However, there has been few research related to optimization parallel package methods on double-sided power modules. Inappropriate package method will restrict SiC power modules’ characteristics at high frequency and lead to lower efficiency as for several factors, such as electromagnetic interference problem caused by large parasitic capacitance, unbalanced current and overshoot voltage caused by parasitic inductance and thermal coupling. Thus, this article aims to comparatively explore the methods of integrating parallel double-sided power modules (stacked package and level package) in electrical and thermal fields. The research is based on 1.2-kV interleaved planar SiC power modules. Parasitic parameters are measured in two package modules, and switching performances are tested based on these parameters. Moreover, simulation results show that stacked package module has relatively better thermal and electrical performance than level package module.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130019698","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754389
D. Peng, Hao Sheng, Lang Zhao, Yuan Zeng, Xueya Wei, Yizhen Li
The high variability introduced by renewable generation may lead to a reduction of the available transfer capability (ATC). In this paper, a novel conceptual method of ATC enhancement is proposed which improves the ATC by reducing the variance of the total transfer capability (TTC). Compared to the conventional methods that aim to shift the mean of TTC to the right, the proposed method can improve the utilization of transmission assets. The nucleus of the proposed method lies in a developed algorithm that can identify the most influential random variables to the variation of TTC. As such, smoothing out the power fluctuations of the main contributors will reduce the variance of TTC most effectively. Numerical study on the IEEE 24-bus reliability test system (RTS) is presented to demonstrate the effectiveness and the efficiency of the proposed method.
{"title":"Covariance Analysis-guided Energy Storage System Deployment for Available Transfer Capability Enhancement","authors":"D. Peng, Hao Sheng, Lang Zhao, Yuan Zeng, Xueya Wei, Yizhen Li","doi":"10.1109/ICoPESA54515.2022.9754389","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754389","url":null,"abstract":"The high variability introduced by renewable generation may lead to a reduction of the available transfer capability (ATC). In this paper, a novel conceptual method of ATC enhancement is proposed which improves the ATC by reducing the variance of the total transfer capability (TTC). Compared to the conventional methods that aim to shift the mean of TTC to the right, the proposed method can improve the utilization of transmission assets. The nucleus of the proposed method lies in a developed algorithm that can identify the most influential random variables to the variation of TTC. As such, smoothing out the power fluctuations of the main contributors will reduce the variance of TTC most effectively. Numerical study on the IEEE 24-bus reliability test system (RTS) is presented to demonstrate the effectiveness and the efficiency of the proposed method.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125149120","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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