Pub Date : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548249
B. Kohlhepp, Thomas Foerster, T. Duerbaum
This paper presents a zero voltage switching (ZVS) inverter and the corresponding modulation scheme, which uses variable and fixed switching frequency operation during the sinusoidal period to limit the switching frequency range. It is suitable for generating sinusoidal output waveforms and ensuring lossless switching over the entire fundamental period. ZVS requires a sufficiently long dead time during both switches are turned off. Typically, standard modulation schemes apply a fixed dead time. First experiments operate the ZVS inverter with a fixed dead time. Despite achieving lossless switching, unexpected high device temperatures of the Gallium Nitride half-bridge switches occur. The origin of these high temperatures need to be figured out in order to minimize the losses of the power stage. A study shows that significant reverse conduction losses occur during the half-bridge’s dead time. Thus, this paper introduces an adaptive dead time method, which shows its effectiveness at an experimental setup by reducing the semiconductor’s device case temperature by 10 K. Since the computational effort for this optimal procedure is relatively high, the paper finally presents a simplified, computationally less costly variant that achieves almost the same improvements regarding the device temperatures.
{"title":"High Frequency ZVS GaN-Inverter with Adaptive Dead Time","authors":"B. Kohlhepp, Thomas Foerster, T. Duerbaum","doi":"10.1109/UPEC50034.2021.9548249","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548249","url":null,"abstract":"This paper presents a zero voltage switching (ZVS) inverter and the corresponding modulation scheme, which uses variable and fixed switching frequency operation during the sinusoidal period to limit the switching frequency range. It is suitable for generating sinusoidal output waveforms and ensuring lossless switching over the entire fundamental period. ZVS requires a sufficiently long dead time during both switches are turned off. Typically, standard modulation schemes apply a fixed dead time. First experiments operate the ZVS inverter with a fixed dead time. Despite achieving lossless switching, unexpected high device temperatures of the Gallium Nitride half-bridge switches occur. The origin of these high temperatures need to be figured out in order to minimize the losses of the power stage. A study shows that significant reverse conduction losses occur during the half-bridge’s dead time. Thus, this paper introduces an adaptive dead time method, which shows its effectiveness at an experimental setup by reducing the semiconductor’s device case temperature by 10 K. Since the computational effort for this optimal procedure is relatively high, the paper finally presents a simplified, computationally less costly variant that achieves almost the same improvements regarding the device temperatures.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125409944","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548250
Petros Papageorgiou, P. Gkaidatzis, Georgios C. Christoforidis, A. Bouhouras
In this paper, an unsupervised non-intrusive load monitoring approach is proposed in order to encounter the disaggregation problem for Non-Intrusive Load Monitoring (NILM) methodologies, using odd harmonic current amplitudes. The problem has been contemplated as a multi-class multi-label one and for the combinations examined the number of appliances operating simultaneously varies between from one to up to three appliances. K-means has been utilized to cluster the different combinations, using additionally the elbow technique, in order to obtain the most suitable number of clusters that should be created. The results indicate that the proposed technique performs efficient load identification even with few samples at the training stage especially under the consideration of the third and fifth odd harmonic currents.
{"title":"Unsupervised NILM Implementation Using Odd Harmonic Currents","authors":"Petros Papageorgiou, P. Gkaidatzis, Georgios C. Christoforidis, A. Bouhouras","doi":"10.1109/UPEC50034.2021.9548250","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548250","url":null,"abstract":"In this paper, an unsupervised non-intrusive load monitoring approach is proposed in order to encounter the disaggregation problem for Non-Intrusive Load Monitoring (NILM) methodologies, using odd harmonic current amplitudes. The problem has been contemplated as a multi-class multi-label one and for the combinations examined the number of appliances operating simultaneously varies between from one to up to three appliances. K-means has been utilized to cluster the different combinations, using additionally the elbow technique, in order to obtain the most suitable number of clusters that should be created. The results indicate that the proposed technique performs efficient load identification even with few samples at the training stage especially under the consideration of the third and fifth odd harmonic currents.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"SE-6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126573766","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548219
C. Diaz-Londono, D. Enescu, F. Ruiz, A. Mazza, G. Chicco
This paper introduces some novel aspects concerning the circuit-based modelling of ThermoElectric Refrigerators (TERs) used for the purpose of time-domain simulations. Starting from a previously published model, some enhancements have been introduced to represent with more details the point at which the temperature is monitored inside the TER compartment, and in particular to take into account the effects of door opening with different duration and in different conditions. The novel circuit model has been validated through experiments carried out on a real TER. In particular, a small-size TER has been used for the experiments. The advantages to consider a small-size unit is that the temperature variations following door opening are large and the identification of the suitable model and parameters becomes more challenging. The results show that the door opening effect can lead to a significant temperature transient, that can continue for a long term (hours) especially when more thermal loads are located in the TER compartment after door opening.
{"title":"Enhanced Modeling and Experimental Verification of a ThermoElectric Refrigerator Unit Considering the Door Opening Effect","authors":"C. Diaz-Londono, D. Enescu, F. Ruiz, A. Mazza, G. Chicco","doi":"10.1109/UPEC50034.2021.9548219","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548219","url":null,"abstract":"This paper introduces some novel aspects concerning the circuit-based modelling of ThermoElectric Refrigerators (TERs) used for the purpose of time-domain simulations. Starting from a previously published model, some enhancements have been introduced to represent with more details the point at which the temperature is monitored inside the TER compartment, and in particular to take into account the effects of door opening with different duration and in different conditions. The novel circuit model has been validated through experiments carried out on a real TER. In particular, a small-size TER has been used for the experiments. The advantages to consider a small-size unit is that the temperature variations following door opening are large and the identification of the suitable model and parameters becomes more challenging. The results show that the door opening effect can lead to a significant temperature transient, that can continue for a long term (hours) especially when more thermal loads are located in the TER compartment after door opening.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125028719","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}
Dynamic Reactive Power Compensation (DRC) plants are amongst the most expensive equipment on Wind Farm Power Stations (WFPS) which are essential for fulfilling Grid Codes requirements. Wind Turbine Generators (WTG), STATCOMs and SVCs are some of widespread solutions (technology) for this application. Hybrid DRC is an alternative solution which is gradually accepted by Transmission System (TS) operators and Grid Codes (GC) all around the world. Hybrid DRCs are usually combinations of power electronic devices like SVCs, STATCOMs, Inverters and some Mechanically Switched Reactors/Capacitors (MSR/MSC). Statistical understanding of the mechanical switching operation is critical to assess whether Hybrid DRC is a cost-effective solution. Conditions and numbers of operations for Circuit Breakers (CB) are limited and they need maintenance and replacement accordingly. This paper studies a real WFPS conditions and reviews mechanical switching statistics. It also reviews Hybrid DRC in comparison with conventional STATCOM. The studies outcomes give clear understanding of statistics together with advantages/disadvantages of one special case, then the high-level understanding in some ways can be generalized.
{"title":"Mechanical Switching Pattern of Hybrid Dynamic Reactive Power Compensation in Wind Farm Power Plants","authors":"Seyed Alireza Mousavi Mirkalaei, Negar Kheirollahi","doi":"10.1109/UPEC50034.2021.9548255","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548255","url":null,"abstract":"Dynamic Reactive Power Compensation (DRC) plants are amongst the most expensive equipment on Wind Farm Power Stations (WFPS) which are essential for fulfilling Grid Codes requirements. Wind Turbine Generators (WTG), STATCOMs and SVCs are some of widespread solutions (technology) for this application. Hybrid DRC is an alternative solution which is gradually accepted by Transmission System (TS) operators and Grid Codes (GC) all around the world. Hybrid DRCs are usually combinations of power electronic devices like SVCs, STATCOMs, Inverters and some Mechanically Switched Reactors/Capacitors (MSR/MSC). Statistical understanding of the mechanical switching operation is critical to assess whether Hybrid DRC is a cost-effective solution. Conditions and numbers of operations for Circuit Breakers (CB) are limited and they need maintenance and replacement accordingly. This paper studies a real WFPS conditions and reviews mechanical switching statistics. It also reviews Hybrid DRC in comparison with conventional STATCOM. The studies outcomes give clear understanding of statistics together with advantages/disadvantages of one special case, then the high-level understanding in some ways can be generalized.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128240756","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548204
B. Ahmadi, Soheil Younesi, O. Ceylan, A. Ozdemir
This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).
{"title":"The Arithmetic Optimization Algorithm for Optimal Energy Resource Planning","authors":"B. Ahmadi, Soheil Younesi, O. Ceylan, A. Ozdemir","doi":"10.1109/UPEC50034.2021.9548204","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548204","url":null,"abstract":"This study presents a new formulation regarding optimal placement and sizing of multi-type distributed generations (DGs) and energy storage systems (ESSs) to enhance the reliability of a radial distribution system and to reduce the line losses employing Arithmetic Optimization Algorithm (AOA) method. The model determines the number of DGs and ESSs automatically, and is designed to minimize the losses and the reliability indices such as Customer Average Interruption Duration Index (CAIDI). The performance of the algorithm is tested on 69-bus radial distribution system. The objective functions corresponding to optimal type, location, and size of distributed energy resources are compared to the base-case values. Finally, a comparative performance analysis of the proposed algorithm is performed in terms of reliability indices and power losses with Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO).","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130583638","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548241
Ian Paul Gerber, F. Mwaniki, H. Vermeulen
A parallel damping arrangement is typically included on the secondary side of a capacitor voltage transformer to improve the measurement accuracy and transient response. The damping arrangement, however, can affect the frequency and transient response of the capacitor voltage transformer. This paper investigates the use of a pseudo-random impulse sequence as a perturbation signal to estimate the model parameters of a passive capacitor voltage transformer damping arrangement. Transfer functions describing the damping arrangement are derived and are used to determine the observability of the circuit. The pseudo-random impulse sequence perturbation signal is applied to the terminals of the damping system, and system responses are recorded and subsequently used to estimate the associated frequency responses. Estimated parameter values, obtained from both the time-domain and frequency-domain responses using the genetic algorithm, are presented. It is shown that the frequency responses obtained using the derived mathematical functions correlate closely with the estimated responses. The damping arrangement parameter values are also shown to be estimated with a high degree of accuracy when more that one transfer function is used in the parameter estimation procedure.
{"title":"Parameter Estimation of a Ferro-Resonance Damping Circuit using Pseudo-Random Impulse Sequence Perturbations","authors":"Ian Paul Gerber, F. Mwaniki, H. Vermeulen","doi":"10.1109/UPEC50034.2021.9548241","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548241","url":null,"abstract":"A parallel damping arrangement is typically included on the secondary side of a capacitor voltage transformer to improve the measurement accuracy and transient response. The damping arrangement, however, can affect the frequency and transient response of the capacitor voltage transformer. This paper investigates the use of a pseudo-random impulse sequence as a perturbation signal to estimate the model parameters of a passive capacitor voltage transformer damping arrangement. Transfer functions describing the damping arrangement are derived and are used to determine the observability of the circuit. The pseudo-random impulse sequence perturbation signal is applied to the terminals of the damping system, and system responses are recorded and subsequently used to estimate the associated frequency responses. Estimated parameter values, obtained from both the time-domain and frequency-domain responses using the genetic algorithm, are presented. It is shown that the frequency responses obtained using the derived mathematical functions correlate closely with the estimated responses. The damping arrangement parameter values are also shown to be estimated with a high degree of accuracy when more that one transfer function is used in the parameter estimation procedure.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120943317","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548167
R. Hiremath, T. Moger
The performance of the grid connected wind farms (WFs) with HVDC system is attracting much interest. Many WFs employ controllers for converter stations to provide a favourable grid support during fault. This paper focusses on the direct current analysis of the HVDC system during three phase (ϕ) fault. The paper has been proposed the "DIgSILENT Simulation Language (DSL)" based voltage dependant current order limiter (VDCOL) and PI controller for the converter stations. The DIgSILENT PowerFactory (DPF) software provides the platform to model the HVDC system for better DC current and voltage response under the fault. The stability of this system is analysed with the bode plot. The simulation results under the 3-phase fault indicate the better DC current and voltage behaviour.
{"title":"Direct Current Analysis of LCC based HVDC System during Fault using DIgSILENT PowerFactory","authors":"R. Hiremath, T. Moger","doi":"10.1109/UPEC50034.2021.9548167","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548167","url":null,"abstract":"The performance of the grid connected wind farms (WFs) with HVDC system is attracting much interest. Many WFs employ controllers for converter stations to provide a favourable grid support during fault. This paper focusses on the direct current analysis of the HVDC system during three phase (ϕ) fault. The paper has been proposed the \"DIgSILENT Simulation Language (DSL)\" based voltage dependant current order limiter (VDCOL) and PI controller for the converter stations. The DIgSILENT PowerFactory (DPF) software provides the platform to model the HVDC system for better DC current and voltage response under the fault. The stability of this system is analysed with the bode plot. The simulation results under the 3-phase fault indicate the better DC current and voltage behaviour.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130317087","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548155
Connor Duggan, P. Brogan, X. Liu, J. Morrow
Phase angle differences on a power system are strongly correlated to active power transfer and system topology. The transition from centralized thermal generation to distributed generation is driving phase angle variation in unprecedented ways. This study studies PMU data from three sites across Ireland and other power system metrics, including system demand and wind generation. Linear regression is used to analyse phase angle variation from power system metrics; the results are used to identify system operating parameters and predict future operating conditions as Ireland’s wind resource expands. It is demonstrated that anticipated wind expansion may cause phase angle variation across the network that exceeds operational thresholds. The methods of wrangling and joining different power system data sources and the sequential forward selection regression function can be applied to the vast amounts of time series data generated from power system operation.
{"title":"Phase Angle Difference Analysis Using PMU Data on grids with Varying Wind Penetration","authors":"Connor Duggan, P. Brogan, X. Liu, J. Morrow","doi":"10.1109/UPEC50034.2021.9548155","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548155","url":null,"abstract":"Phase angle differences on a power system are strongly correlated to active power transfer and system topology. The transition from centralized thermal generation to distributed generation is driving phase angle variation in unprecedented ways. This study studies PMU data from three sites across Ireland and other power system metrics, including system demand and wind generation. Linear regression is used to analyse phase angle variation from power system metrics; the results are used to identify system operating parameters and predict future operating conditions as Ireland’s wind resource expands. It is demonstrated that anticipated wind expansion may cause phase angle variation across the network that exceeds operational thresholds. The methods of wrangling and joining different power system data sources and the sequential forward selection regression function can be applied to the vast amounts of time series data generated from power system operation.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131053640","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548220
L. D. da Silva, Alzenira A. Abaide, J. Sausen, Joelson Lopes da Paixão, Cristian H. Correa
One of the greatest challenges of EV penetration is to ensure conditions of large distances travel, mainly by the battery range capabilities and the impact of charging events in the total travel time. For these reasons, it is fundamental to develop fast-charging station (FCS) infrastructures applied to highways. The decrease in charging times implies an increase in charging power. Moreover, the load curve shape of FCS is highly impacted by user's patterns, with a stochastic behavior. Many studies are being developed to evaluate the impact of FCS on Power Systems, based on the EV penetration increase. By the innovative technology and a small sampling of these applications yet, the development of tools to generate FCS scenarios is important. This paper shows a proposal of FCS load curve modeling, based in a mixed process of a deterministic model, to estimate the traffic and the FCS operation, and a stochastic model, based on a Monte Carlo simulation, to determine aspects as charging time length and FCS entry rate. The model was applied in a case study, based on a Brazilian highway. The load curves obtained indicate compatibility between scenarios and inputs, and the fast saturation of a static FCS infrastructure by the increase of EV market share.
{"title":"Proposal of a load curve modeling applied to Highway EV Fast Charging Stations","authors":"L. D. da Silva, Alzenira A. Abaide, J. Sausen, Joelson Lopes da Paixão, Cristian H. Correa","doi":"10.1109/UPEC50034.2021.9548220","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548220","url":null,"abstract":"One of the greatest challenges of EV penetration is to ensure conditions of large distances travel, mainly by the battery range capabilities and the impact of charging events in the total travel time. For these reasons, it is fundamental to develop fast-charging station (FCS) infrastructures applied to highways. The decrease in charging times implies an increase in charging power. Moreover, the load curve shape of FCS is highly impacted by user's patterns, with a stochastic behavior. Many studies are being developed to evaluate the impact of FCS on Power Systems, based on the EV penetration increase. By the innovative technology and a small sampling of these applications yet, the development of tools to generate FCS scenarios is important. This paper shows a proposal of FCS load curve modeling, based in a mixed process of a deterministic model, to estimate the traffic and the FCS operation, and a stochastic model, based on a Monte Carlo simulation, to determine aspects as charging time length and FCS entry rate. The model was applied in a case study, based on a Brazilian highway. The load curves obtained indicate compatibility between scenarios and inputs, and the fast saturation of a static FCS infrastructure by the increase of EV market share.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133960393","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 : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548248
Mohammad Al-Ja'afreh, G. Mokryani
Due to high penetration of single-phase Photovoltaic (PV) cells into low voltage (LV) distribution networks, several impacts such as voltage unbalance, voltage rise, power losses, reverse power flow arise which leads to operational constraints violation in the network. In this paper, a time series Three Phase Optimal Power Flow (TPOPF) method is proposed to minimize the voltage unbalance in LV distribution networks with high penetration of residential PVs. TPOPF problem is formulated using the current injection method in which the PVs are modelled via a time-varying PV power profile with active and reactive power control. The proposed method is validated on a real LV distribution feeder. The results show that the reactive power management of the PVs helps mitigate the voltage unbalance significantly. Moreover, the voltage unbalance index reduced significantly compared to the case without voltage unbalance minimisation.
{"title":"Voltage Unbalance Mitigation in Low Voltage Distribution Networks using Time Series Three-Phase Optimal Power Flow","authors":"Mohammad Al-Ja'afreh, G. Mokryani","doi":"10.1109/UPEC50034.2021.9548248","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548248","url":null,"abstract":"Due to high penetration of single-phase Photovoltaic (PV) cells into low voltage (LV) distribution networks, several impacts such as voltage unbalance, voltage rise, power losses, reverse power flow arise which leads to operational constraints violation in the network. In this paper, a time series Three Phase Optimal Power Flow (TPOPF) method is proposed to minimize the voltage unbalance in LV distribution networks with high penetration of residential PVs. TPOPF problem is formulated using the current injection method in which the PVs are modelled via a time-varying PV power profile with active and reactive power control. The proposed method is validated on a real LV distribution feeder. The results show that the reactive power management of the PVs helps mitigate the voltage unbalance significantly. Moreover, the voltage unbalance index reduced significantly compared to the case without voltage unbalance minimisation.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133417063","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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