Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917822
A. Pfendler, R. Steppan, J. Hanson
In the interconnected power system, frequency control and stability are of vital importance and an indicator of the system-wide active power balance. The shutdown of conventional power plants leads to faster frequency changes and a steeper frequency gradient due to the reduced system inertia. For this reason, the importance of electrical frequency estimation methods is increasing, among others as an input variable for the control of converter-based generation plants. The aim of this work is to implement, compare and analyze the robustness of different frequency estimation methods in time-domain simulations. The Phase-Locked Loop, the Zero-Crossing method and the Recursive-Gauss-Newton method are implemented as real-time methods in a simple testbench in Matlab/Simulink. The parameters of the methods are tuned for a reference case and compared to the rotational frequency of a connected synchronous generator. With the tuned parameters, the maximum deviation between frequency estimation and the synchronous generator frequency can be limited to 15 mHz. The Zero-Crossing method shows the best robustness when changing the magnitude of the active power imbalance. In addition, the sensitive parameters of the frequency estimation methods behave approximately linear to the magnitude of the active power imbalance, so that a simple implementation can be designed for simulations.
{"title":"Comparison of Transient Frequency Estimation Methods for Evaluating the Frequency Gradient in Active Distribution Grids","authors":"A. Pfendler, R. Steppan, J. Hanson","doi":"10.1109/UPEC55022.2022.9917822","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917822","url":null,"abstract":"In the interconnected power system, frequency control and stability are of vital importance and an indicator of the system-wide active power balance. The shutdown of conventional power plants leads to faster frequency changes and a steeper frequency gradient due to the reduced system inertia. For this reason, the importance of electrical frequency estimation methods is increasing, among others as an input variable for the control of converter-based generation plants. The aim of this work is to implement, compare and analyze the robustness of different frequency estimation methods in time-domain simulations. The Phase-Locked Loop, the Zero-Crossing method and the Recursive-Gauss-Newton method are implemented as real-time methods in a simple testbench in Matlab/Simulink. The parameters of the methods are tuned for a reference case and compared to the rotational frequency of a connected synchronous generator. With the tuned parameters, the maximum deviation between frequency estimation and the synchronous generator frequency can be limited to 15 mHz. The Zero-Crossing method shows the best robustness when changing the magnitude of the active power imbalance. In addition, the sensitive parameters of the frequency estimation methods behave approximately linear to the magnitude of the active power imbalance, so that a simple implementation can be designed for simulations.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128371893","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}
Paper1 Y. Taketomi, On a Riemannian submanifold whose slice representation has no nonzero fixed points, Hiroshima Math. J., 48 (2018), no. 1, 1–20. Paper2 Y. Taketomi and H. Tamaru, On the nonexistence of left-invariant Ricci solitons — a conjecture and examples, Transf. Groups, 23 (2018), no. 1, 257–270. Paper3 J. T. Cho, T. Hashinaga, A. Kubo, Y. Taketomi, H. Tamaru, Realizations of some contact metric manifolds as Ricci soliton real hypersurfaces, J. Geom. Phys., 123 (2018), 221–234. Paper4 J. T. Cho, T. Hashinaga, A. Kubo, Y. Taketomi, H. Tamaru, The solvable models of noncompact real two-plane Grassmannians and some applications, In: Hermitian-Grassmannian Submanifolds, Springer Proc. Math. Stat., 203 (2017), 311–321. Paper5 A. Kubo, K. Onda, Y. Taketomi, H. Tamaru, On the moduli spaces of leftinvariant pseudo-Riemannian metrics on Lie groups, Hiroshima Math. J., 46 (2016), no. 3, 357–374. Paper6 Y. Taketomi, On a Riemannian submanifold whose slice representation has no nonzero fixed point — an introduction, Proceedings of the 19th International Workshop on Hermitian-Grassmannian Submanifolds and 10th RIRCM-OCAMI Joint Differential Geometry Workshop, 225–231, Natl. Inst. Math. Sci. (NIMS), Taejŏn, 2015. Paper7 Y. Taketomi, Examples of hyperpolar actions of the automorphism groups of Lie algebras, Topology Appl. 196 (2015), part B, 904–910.
论文1 Y. Taketomi，关于片表示不含非零不动点的riemann子流形，广岛数学。J.， 48(2018)，第2期。1, 1。论文2 .杨建军，关于左不变Ricci孤子的不存在性——一个猜想和例子，数学学报，23 (2018)，no. 1。1, 257 - 270。[3]赵俊泰，韩志勇，久保，李志强，李志强，李志强，一类接触度量流形在Ricci孤子实超曲面上的实现。理论物理。生态学报，123(2018)，221-234。[4]赵俊涛，韩志勇，久保，梁志勇，非紧实两平面grassmannian的可解模型及其应用，第4期:Hermitian-Grassmannian子流形，数学，Springer Proc。统计，203(2017)，311-321。Paper5。Kubo, K. Onda, Y. Taketomi, H. Tamaru，关于李群上左不变伪黎曼度量的模空间，广岛数学。J.， 46(2016)，第6期。3, 357 - 374。第6篇论文，杨建军，关于一种非零不动点的riemann子流形——一个介绍，第19届Hermitian-Grassmannian子流形国际研讨会论文集，第10届RIRCM-OCAMI联合微分几何研讨会论文集，225-231,Natl。本月,数学。科学。(NIMS)， Taejŏn, 2015。[7]杨建军，李代数自同构群的超极作用，数学学报，2015，第6卷，第4 - 6页。
{"title":"List of Papers","authors":"A. Kashubin","doi":"10.4282/sosj.26.101","DOIUrl":"https://doi.org/10.4282/sosj.26.101","url":null,"abstract":"Paper1 Y. Taketomi, On a Riemannian submanifold whose slice representation has no nonzero fixed points, Hiroshima Math. J., 48 (2018), no. 1, 1–20. Paper2 Y. Taketomi and H. Tamaru, On the nonexistence of left-invariant Ricci solitons — a conjecture and examples, Transf. Groups, 23 (2018), no. 1, 257–270. Paper3 J. T. Cho, T. Hashinaga, A. Kubo, Y. Taketomi, H. Tamaru, Realizations of some contact metric manifolds as Ricci soliton real hypersurfaces, J. Geom. Phys., 123 (2018), 221–234. Paper4 J. T. Cho, T. Hashinaga, A. Kubo, Y. Taketomi, H. Tamaru, The solvable models of noncompact real two-plane Grassmannians and some applications, In: Hermitian-Grassmannian Submanifolds, Springer Proc. Math. Stat., 203 (2017), 311–321. Paper5 A. Kubo, K. Onda, Y. Taketomi, H. Tamaru, On the moduli spaces of leftinvariant pseudo-Riemannian metrics on Lie groups, Hiroshima Math. J., 46 (2016), no. 3, 357–374. Paper6 Y. Taketomi, On a Riemannian submanifold whose slice representation has no nonzero fixed point — an introduction, Proceedings of the 19th International Workshop on Hermitian-Grassmannian Submanifolds and 10th RIRCM-OCAMI Joint Differential Geometry Workshop, 225–231, Natl. Inst. Math. Sci. (NIMS), Taejŏn, 2015. Paper7 Y. Taketomi, Examples of hyperpolar actions of the automorphism groups of Lie algebras, Topology Appl. 196 (2015), part B, 904–910.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127397058","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917924
C. Mureşan, L. Darabant, D. Şteţ, S. Cirstea, L. Czumbil, A. Ceclan, Timea Farkas, A. Polycarpou, D. Micu
The global energy situation highlights the critical need for sustainability-focused education and raising awareness for environmental issues among the younger generation. In the same context, the increased demand for well-trained energy professionals is often emphasized as a key factor for a smooth and efficient energy transition. Despite this, there is a limited number of studies in the literature presenting examples of good practice in sustainability and energy efficiency implementation in higher education curricula. This study aims to fill this gap in the framework of an impact assessment survey concerning the implementation of a dedicated optional course in sustainability and energy efficiency field for undergraduate electrical engineering students. The results of the survey show that together with a better understanding of specific concepts, improvements in concern, willingness and behavior associated with sustainability and energy efficiency concepts have been reported by students, after they attended the proposed course during the semester.
{"title":"The impact assessment of an energy efficiency focused course implementation in electrical engineering undergraduate students curricula","authors":"C. Mureşan, L. Darabant, D. Şteţ, S. Cirstea, L. Czumbil, A. Ceclan, Timea Farkas, A. Polycarpou, D. Micu","doi":"10.1109/UPEC55022.2022.9917924","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917924","url":null,"abstract":"The global energy situation highlights the critical need for sustainability-focused education and raising awareness for environmental issues among the younger generation. In the same context, the increased demand for well-trained energy professionals is often emphasized as a key factor for a smooth and efficient energy transition. Despite this, there is a limited number of studies in the literature presenting examples of good practice in sustainability and energy efficiency implementation in higher education curricula. This study aims to fill this gap in the framework of an impact assessment survey concerning the implementation of a dedicated optional course in sustainability and energy efficiency field for undergraduate electrical engineering students. The results of the survey show that together with a better understanding of specific concepts, improvements in concern, willingness and behavior associated with sustainability and energy efficiency concepts have been reported by students, after they attended the proposed course during the semester.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"23 S2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120856852","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917706
Nesibe Demiroglu, Idris Ozdemir, Halil Ibrahim Uckol, S. Ilhan
This paper presents an approach to classify the hydrophobicity characteristic of silicone rubber (SiR) samples using deep learning algorithms. By deforming the hydrophobicity property of SiR samples using corona discharges, images of water droplets placed on the sample surface were acquired. From the images, the contact angles of the droplets were determined to find the hydrophobicity classes. The generated water droplet image dataset was trained, validated, and tested utilizing AlexNet, VGGNet, and ResNet. The result shows that the modified AlexNet model with an accuracy of 99.36% is a reliable diagnostic method to identify the hydrophobicity qualification of the SiR samples.
{"title":"The Hydrophobicity Class Identification of Silicone-Rubber Samples using Deep Learning Algorithms","authors":"Nesibe Demiroglu, Idris Ozdemir, Halil Ibrahim Uckol, S. Ilhan","doi":"10.1109/UPEC55022.2022.9917706","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917706","url":null,"abstract":"This paper presents an approach to classify the hydrophobicity characteristic of silicone rubber (SiR) samples using deep learning algorithms. By deforming the hydrophobicity property of SiR samples using corona discharges, images of water droplets placed on the sample surface were acquired. From the images, the contact angles of the droplets were determined to find the hydrophobicity classes. The generated water droplet image dataset was trained, validated, and tested utilizing AlexNet, VGGNet, and ResNet. The result shows that the modified AlexNet model with an accuracy of 99.36% is a reliable diagnostic method to identify the hydrophobicity qualification of the SiR samples.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133209555","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917648
Pannita Rajakrom, C. Booth, Q. Hong
This paper presents a review of a range of novel protection schemes and described a new fault detection method using only current measurements, based upon comparison of pre- and during-fault current angles (and communication of angular shifts between measurement locations when faults are detected). Case studies are also presented to validate the effectiveness of the proposed method. The scheme is suitable for when conventional protection is not suitable for power networks, particularly microgrid with distributed generation units and energy storage leading to bi-directional power flows during normal and fault conditions, and low- and variable fault levels. In such cases, directional relays may be necessary to provide effective protection. However, measuring both voltage and current may be expensive and the scheme highlighted here overcomes such requirements, and it is proposed that 4/5G communications or radio-based communications may provide an effective means of transferring the (low-bandwidth) data when required.
{"title":"Analysis and Simulation of Current-Only Directional Protection Incorporating Simple Communications","authors":"Pannita Rajakrom, C. Booth, Q. Hong","doi":"10.1109/UPEC55022.2022.9917648","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917648","url":null,"abstract":"This paper presents a review of a range of novel protection schemes and described a new fault detection method using only current measurements, based upon comparison of pre- and during-fault current angles (and communication of angular shifts between measurement locations when faults are detected). Case studies are also presented to validate the effectiveness of the proposed method. The scheme is suitable for when conventional protection is not suitable for power networks, particularly microgrid with distributed generation units and energy storage leading to bi-directional power flows during normal and fault conditions, and low- and variable fault levels. In such cases, directional relays may be necessary to provide effective protection. However, measuring both voltage and current may be expensive and the scheme highlighted here overcomes such requirements, and it is proposed that 4/5G communications or radio-based communications may provide an effective means of transferring the (low-bandwidth) data when required.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129323725","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917867
Abualkasim Bakeer, S. Dabour, I. A. Gowaid, A. Aboushady, M. Elgenedy, M. Farrag
Three-phase Split-source inverter (SSI) has recently been proposed as an alternative to the three-phase Z-source inverters (ZSI). This paper introduced an improved finite control set-model predictive control (FCS-MPC) algorithm for the SSI. The proposed FCS-MPC algorithm reduces the computational burden by selecting the discharging vector directly according to the current status of the inductor compared to its reference point instead of checking the other states. Moreover, it simplifies the cost function by removing the inductor’s current term, and thus no weighting factor is needed inside the cost function. A detailed analysis of the proposed algorithm is presented in this paper. Finally, simulation results based on MATLAB have been introduced to show the viability of the presented research and theoretical study of the FCS-MPC algorithm of the three-phase SSI under different operating conditions.
{"title":"Enhanced Finite Control Set-Model Predictive Control for Three-Phase Split-Source Inverters","authors":"Abualkasim Bakeer, S. Dabour, I. A. Gowaid, A. Aboushady, M. Elgenedy, M. Farrag","doi":"10.1109/UPEC55022.2022.9917867","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917867","url":null,"abstract":"Three-phase Split-source inverter (SSI) has recently been proposed as an alternative to the three-phase Z-source inverters (ZSI). This paper introduced an improved finite control set-model predictive control (FCS-MPC) algorithm for the SSI. The proposed FCS-MPC algorithm reduces the computational burden by selecting the discharging vector directly according to the current status of the inductor compared to its reference point instead of checking the other states. Moreover, it simplifies the cost function by removing the inductor’s current term, and thus no weighting factor is needed inside the cost function. A detailed analysis of the proposed algorithm is presented in this paper. Finally, simulation results based on MATLAB have been introduced to show the viability of the presented research and theoretical study of the FCS-MPC algorithm of the three-phase SSI under different operating conditions.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133862031","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917807
T. Papadopoulos, Georgios A. Barzegkar-Ntovom, E. O. Kontis, Evangelos A. Koukoulianta
In modern power systems is recommended to study the overall system with detailed understanding of the large-scale generation, the wider transmission network, the distributed renewable energy sources and the flexible loads. Therefore, detailed simulation models are required. In this paper, a combined transmission and distribution network synthetic model is developed to investigate the dynamic performance of the overall power system and analyse the interactions between its constituent parts. Conventional and modern power system configurations are considered. The small-signal stability of the power system is investigated by means of eigenvalue analysis and by applying the Matrix Pencil algorithm to identify the dominant modes contained in the dynamic responses.
{"title":"Combined Transmission and Distribution Test System for Small-Signal Stability Analysis: Initial Results","authors":"T. Papadopoulos, Georgios A. Barzegkar-Ntovom, E. O. Kontis, Evangelos A. Koukoulianta","doi":"10.1109/UPEC55022.2022.9917807","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917807","url":null,"abstract":"In modern power systems is recommended to study the overall system with detailed understanding of the large-scale generation, the wider transmission network, the distributed renewable energy sources and the flexible loads. Therefore, detailed simulation models are required. In this paper, a combined transmission and distribution network synthetic model is developed to investigate the dynamic performance of the overall power system and analyse the interactions between its constituent parts. Conventional and modern power system configurations are considered. The small-signal stability of the power system is investigated by means of eigenvalue analysis and by applying the Matrix Pencil algorithm to identify the dominant modes contained in the dynamic responses.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"261 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115893947","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917871
M. Böhringer, Achraf Kharrat, J. Hanson, David Petermann, N. Büchau, Christian Hein, Sebastian Baumann, C. Preusche
In this paper, a method is presented to determine community energy storage’s size in residential districts. To identify required storage size, different clusters are formed for households’ storage requirements. Clusters are differing in generation and load size, as well as using heat pumps and/or electric vehicle charging stations. Maximum installed capacity of photovoltaics plays a relevant role in cluster classification as well. Taking corresponding needs from multi-use operation into account, the model is extended accordingly. It becomes clear that relevant for shared storage sizing are the months in spring and autumn. Major drivers during these months are the use of electric heat pumps as well as installed photovoltaic capacity. In contrast, electric vehicle charging stations generally increases storage shares across all months and all clusters. Using storage shares determined for clusters and characteristics, potential for secondary use is determined on two different bases in a second step of the analysis. Results show that during spring and autumn, storage is mostly used by households. By contrast during summer and winter, up to 85% is available for other services. Findings are finally determined using an example of residential district in the region of Darmstadt, South Hesse. The proportion of available flexibility is expected to be high, with a maximum of almost 87 % in the month of December.
{"title":"Dimensioning of Community Energy Storages for Multi-Use Purposes using Households’ Storage Requirements","authors":"M. Böhringer, Achraf Kharrat, J. Hanson, David Petermann, N. Büchau, Christian Hein, Sebastian Baumann, C. Preusche","doi":"10.1109/UPEC55022.2022.9917871","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917871","url":null,"abstract":"In this paper, a method is presented to determine community energy storage’s size in residential districts. To identify required storage size, different clusters are formed for households’ storage requirements. Clusters are differing in generation and load size, as well as using heat pumps and/or electric vehicle charging stations. Maximum installed capacity of photovoltaics plays a relevant role in cluster classification as well. Taking corresponding needs from multi-use operation into account, the model is extended accordingly. It becomes clear that relevant for shared storage sizing are the months in spring and autumn. Major drivers during these months are the use of electric heat pumps as well as installed photovoltaic capacity. In contrast, electric vehicle charging stations generally increases storage shares across all months and all clusters. Using storage shares determined for clusters and characteristics, potential for secondary use is determined on two different bases in a second step of the analysis. Results show that during spring and autumn, storage is mostly used by households. By contrast during summer and winter, up to 85% is available for other services. Findings are finally determined using an example of residential district in the region of Darmstadt, South Hesse. The proportion of available flexibility is expected to be high, with a maximum of almost 87 % in the month of December.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117127876","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917839
I. D. Pasiopoulou, E. O. Kontis, Ioannis A. Angelis, T. Papadopoulos, G. Papagiannis
Robust and well-established distribution network (DN) equivalent models have been used by system operators. Nevertheless, the advent of distributed energy resources (DERs) has changed the nature and the characteristics of the DNs triggering the need for updating the existing models. This study deals with the reliability of the exponential and polynomial static load models on active DN (ADN) modeling under steady-state conditions. The accuracy of the examined models is evaluated under specific load types and DERs penetration level. The conducted analysis reveals the high impact of the DER penetration level on the model accuracy and its parameters. Results indicate that the ZIP model presents higher accuracy compared to the exponential. However, both models fail to accurately capture the steady-state behavior of ADNs in case frequency and voltage controls are applied to the DER units.
{"title":"On the Reliability of Static Load Models for the Modeling of Active Distribution Networks under Steady-State Conditions","authors":"I. D. Pasiopoulou, E. O. Kontis, Ioannis A. Angelis, T. Papadopoulos, G. Papagiannis","doi":"10.1109/UPEC55022.2022.9917839","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917839","url":null,"abstract":"Robust and well-established distribution network (DN) equivalent models have been used by system operators. Nevertheless, the advent of distributed energy resources (DERs) has changed the nature and the characteristics of the DNs triggering the need for updating the existing models. This study deals with the reliability of the exponential and polynomial static load models on active DN (ADN) modeling under steady-state conditions. The accuracy of the examined models is evaluated under specific load types and DERs penetration level. The conducted analysis reveals the high impact of the DER penetration level on the model accuracy and its parameters. Results indicate that the ZIP model presents higher accuracy compared to the exponential. However, both models fail to accurately capture the steady-state behavior of ADNs in case frequency and voltage controls are applied to the DER units.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115013010","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917597
Ma’d El-Dalahmeh, Imran Bashir, M. Al-Greer, M. El‐Dalahmeh
It is critical to accurately predict the remaining capacity of lithium-ion batteries to guarantee safe, reliable operation with minimal maintenance costs. However, because of the complicated and nonlinear characteristics of the battery’s degradation throughout its lifetime, predicting the amount of capacity that will still be available in lithium-ion batteries is a complex process. In addition, the phenomena of capacity regeneration have a significant impact on the accuracy of the remaining capacity projection. For this purpose, the signal decomposition method is becoming a more attractive and promising method for overcoming the difficulty of the capacity regeneration phenomena due to its simplicity and capability to accommodate the nonlinear dynamic behaviour of the lithium-ion battery. Therefore, this paper investigates the performance of three signal decomposition techniques: the discrete wavelet transforms, the empirical mode decomposition, and the variational mode decomposition techniques in analysing the capacity regeneration phenomenon. The nonlinear autoregressive neural network algorithm is developed to predict the trajectory of the future capacity of the battery. The performance of the proposed algorithms is analysed by using two datasets from NASA Ames Research centre and the centre for advanced life cycle engineering (CALCE). The comparison results demonstrate that the variational mode decomposition method combined with the nonlinear autoregressive neural network outperforms other methods with 2.385% RMSE and 1.6% MAE.
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