Pub Date : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960677
Prashant Pant, Federico Ibanez, P. Vorobev, T. Hamacher, V. Perić
This paper proposes a simplified central-controller based microgrid architecture that eliminates the need for local measurements traditionally required for inverter synchronization and control. This architecture reduces overall number of required measurements in microgrids and consequently the cost of the system. The architecture relies upon state-estimation (performed at the central-controller) and GPS time-synchronization (at the local controller). Local controllers receive voltage/current reference from the central-controller, thus eliminating the need of sensors, analog to digital cards and processors at the inverter level. The proposed architecture is validated through the real time simulations using Typhoon HIL. The results show that the inverters, which operate without the local measurements according to the proposed architecture, have comparatively sluggish response. This represents a trade-off between the cost saving due to eliminated measurements and overall dynamic performance of the microgrid. Further, this indicates that smaller inverters which do not impact the microgrid stability are good candidates to be operated without local measurements.
{"title":"A Simplified Microgrid Architecture with Reduced Number of Measurement Units","authors":"Prashant Pant, Federico Ibanez, P. Vorobev, T. Hamacher, V. Perić","doi":"10.1109/ISGT-Europe54678.2022.9960677","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960677","url":null,"abstract":"This paper proposes a simplified central-controller based microgrid architecture that eliminates the need for local measurements traditionally required for inverter synchronization and control. This architecture reduces overall number of required measurements in microgrids and consequently the cost of the system. The architecture relies upon state-estimation (performed at the central-controller) and GPS time-synchronization (at the local controller). Local controllers receive voltage/current reference from the central-controller, thus eliminating the need of sensors, analog to digital cards and processors at the inverter level. The proposed architecture is validated through the real time simulations using Typhoon HIL. The results show that the inverters, which operate without the local measurements according to the proposed architecture, have comparatively sluggish response. This represents a trade-off between the cost saving due to eliminated measurements and overall dynamic performance of the microgrid. Further, this indicates that smaller inverters which do not impact the microgrid stability are good candidates to be operated without local measurements.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133351369","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960317
Z. Janković, S. Ilić, B. Vesin, A. Selakov
Short-Term Load Forecasting accuracy is profoundly affected by unexpected load shapes during so-called "special days." The lack of representative data sets for these days increases forecasting error. In this paper, the authors propose a novel method for forecasting accuracy improvements during special days. The proposed model tracks historical forecasting errors and uses the deviation trend to correct the most recent forecast. Model also contains the mechanism for recognizing hours for prediction correction on special days. Model validation was performed using Serbian Transmission System Company data and showed significant improvement for special days forecast accuracy.
{"title":"Special Day Regression Model for Short-Term Load Forecasting","authors":"Z. Janković, S. Ilić, B. Vesin, A. Selakov","doi":"10.1109/ISGT-Europe54678.2022.9960317","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960317","url":null,"abstract":"Short-Term Load Forecasting accuracy is profoundly affected by unexpected load shapes during so-called \"special days.\" The lack of representative data sets for these days increases forecasting error. In this paper, the authors propose a novel method for forecasting accuracy improvements during special days. The proposed model tracks historical forecasting errors and uses the deviation trend to correct the most recent forecast. Model also contains the mechanism for recognizing hours for prediction correction on special days. Model validation was performed using Serbian Transmission System Company data and showed significant improvement for special days forecast accuracy.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133713771","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960687
J. Haakana, J. Vilppo, O. Räisänen, Jouni Haapaniemi, J. Lassila
This paper presents a methodology to assess the feasibility of different methods to ensure the security of electricity supply of critical infrastructure. The methodology consists of two alternatives to secure the supply of electricity: 1) by renovation of the present electricity distribution system with a stormproof network technology, such as underground cables; and 2) by using a local battery energy storage when the main supply is interrupted. The methodology is tested with actual case area network data from Finnish rural areas. The data are gathered from four distribution system operators.
{"title":"Assessing the feasibility of methods to enhance the security of supply of critical infrastructure","authors":"J. Haakana, J. Vilppo, O. Räisänen, Jouni Haapaniemi, J. Lassila","doi":"10.1109/ISGT-Europe54678.2022.9960687","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960687","url":null,"abstract":"This paper presents a methodology to assess the feasibility of different methods to ensure the security of electricity supply of critical infrastructure. The methodology consists of two alternatives to secure the supply of electricity: 1) by renovation of the present electricity distribution system with a stormproof network technology, such as underground cables; and 2) by using a local battery energy storage when the main supply is interrupted. The methodology is tested with actual case area network data from Finnish rural areas. The data are gathered from four distribution system operators.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267266","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960667
Xiong Xiao, Soham Choudhury, M. Coumont, J. Hanson
This paper investigates the influence of a high voltage direct current (HVDC) overlay grid on the transient voltage and rotor angle stability with respect to HVDC converter fault ride-through behavior. For this purpose, the studied meshed hybrid AC/DC transmission grid is established in MATLAB/Simulink with user defined dynamic models of voltage-source converters (VSC) considering fault ride-through requirements of the German Technical Connection Rules for extra high-voltage (VDE-AR-N 4130). The voltage profile during three-phase short-circuit faults as well as bus voltage relative entropy after fault-clearing as stability indices are analyzed. The influence of k-factor and power system stabilisers on transient stability is also investigated.
{"title":"Impact of HVDC Fault Ride-Through and Continuous Reactive Current Support on Transient Stability in Meshed AC/DC Transmission Grids","authors":"Xiong Xiao, Soham Choudhury, M. Coumont, J. Hanson","doi":"10.1109/ISGT-Europe54678.2022.9960667","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960667","url":null,"abstract":"This paper investigates the influence of a high voltage direct current (HVDC) overlay grid on the transient voltage and rotor angle stability with respect to HVDC converter fault ride-through behavior. For this purpose, the studied meshed hybrid AC/DC transmission grid is established in MATLAB/Simulink with user defined dynamic models of voltage-source converters (VSC) considering fault ride-through requirements of the German Technical Connection Rules for extra high-voltage (VDE-AR-N 4130). The voltage profile during three-phase short-circuit faults as well as bus voltage relative entropy after fault-clearing as stability indices are analyzed. The influence of k-factor and power system stabilisers on transient stability is also investigated.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"1514 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113995043","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960647
G. Svenda, I. Krstić, S. Kanjuh, M. Jajčanin, D. Vuletić
This paper presents a centralized real-time system for continuous voltage improvement in active distribution networks (DNs) with high penetration of electric vehicles (EVs) and renewable energy sources (RESs). It is based on Volt Var Watt Optimization (VVWO), which considers the capabilities of both traditional resources (load-tap-changers (LTC), voltage regulators (VR), capacitor banks (CB)), and new resources, including distributed generators (DG) and energy storages (ES). VVWO is integrated into the Distributed Energy Resources Management System (DERMS) for practical application. Its application has enabled maximized renewable generation output and electric vehicle charging, improving the voltage profile and avoiding technical violations. It is shown that the procedure is efficient and robust. Using the same resources, it solves problems for any conditions in the grid, including the two extreme situations of light-loaded DN with high photovoltaics (PV) injection and high-loaded DN with additional EVs load. The procedure is integrated into the industrial-grade product, which enables its automatic application in real DN in real-life.
{"title":"Volt Var Watt Optimization in Distribution Network with High Penetration of Renewable Energy Sources and Electric Vehicles","authors":"G. Svenda, I. Krstić, S. Kanjuh, M. Jajčanin, D. Vuletić","doi":"10.1109/ISGT-Europe54678.2022.9960647","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960647","url":null,"abstract":"This paper presents a centralized real-time system for continuous voltage improvement in active distribution networks (DNs) with high penetration of electric vehicles (EVs) and renewable energy sources (RESs). It is based on Volt Var Watt Optimization (VVWO), which considers the capabilities of both traditional resources (load-tap-changers (LTC), voltage regulators (VR), capacitor banks (CB)), and new resources, including distributed generators (DG) and energy storages (ES). VVWO is integrated into the Distributed Energy Resources Management System (DERMS) for practical application. Its application has enabled maximized renewable generation output and electric vehicle charging, improving the voltage profile and avoiding technical violations. It is shown that the procedure is efficient and robust. Using the same resources, it solves problems for any conditions in the grid, including the two extreme situations of light-loaded DN with high photovoltaics (PV) injection and high-loaded DN with additional EVs load. The procedure is integrated into the industrial-grade product, which enables its automatic application in real DN in real-life.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128088630","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960521
S. Asefi, Guido Andreesen, M. Leinakse, J. Kilter, Tauri Kalmet, Henri Manninen, M. Landsberg
High voltage circuit breakers (HVCBs) are essential components for reliability and resiliency of the power system, and it is crucial to optimize principles of condition monitoring for maintenance of this equipment. In this paper a novel methodology based on combination of HVCB’s overall health index and expected aging curve is presented to provide an optimal scheduling of HVCB’s maintenance. The overall health index of HVCB is acquired by conventional measurements, e.g. contacts dynamic resistance, drive motor current, etc. The methodology has been verified based on experimental tests that are implemented on a 110 kV HVCB. Based on the obtained results, the proposed method would increase the accuracy of HVCB’s condition based maintenance scheduling, which will improve system reliability, ensure personnel safety, reduce the unplanned down time, and decrease the overall maintenance cost.
{"title":"Measurement and Operation Based Condition Monitoring Methodology for High Voltage Circuit Breakers","authors":"S. Asefi, Guido Andreesen, M. Leinakse, J. Kilter, Tauri Kalmet, Henri Manninen, M. Landsberg","doi":"10.1109/ISGT-Europe54678.2022.9960521","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960521","url":null,"abstract":"High voltage circuit breakers (HVCBs) are essential components for reliability and resiliency of the power system, and it is crucial to optimize principles of condition monitoring for maintenance of this equipment. In this paper a novel methodology based on combination of HVCB’s overall health index and expected aging curve is presented to provide an optimal scheduling of HVCB’s maintenance. The overall health index of HVCB is acquired by conventional measurements, e.g. contacts dynamic resistance, drive motor current, etc. The methodology has been verified based on experimental tests that are implemented on a 110 kV HVCB. Based on the obtained results, the proposed method would increase the accuracy of HVCB’s condition based maintenance scheduling, which will improve system reliability, ensure personnel safety, reduce the unplanned down time, and decrease the overall maintenance cost.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134280092","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960589
Taif Mohamed, M. Kezunovic, Z. Obradovic, Y. Hu, Zheyuan Cheng
Various types of oscillations could occur in the power grid from time to time. Most of them are harmless, while some could significantly impact the reliable power system operations. With increased penetration of renewable energy sources and the general transition to more complex power system operation comes the need for automated and accurate oscillation detection and classification methods. Such methods have been extensively studied in the past. Still, most of the earlier work was done for situational awareness purposes based primarily on simulated waveforms from synthetic power system models. This paper presents the results of an oscillation event detection method using machine learning algorithms trained on features extracted by Prony analysis from field-recorded PMU data. The unique experience of working with field-recorded historical synchrophasor data obtained from 38 PMUs located in the Western Interconnection of the US is shared. Four machine learning oscillation detection and classification models are trained using the results of Prony analysis as input features. The CatBoost classifier outperforms alternatives achieving 76.86% accuracy. An analysis of the data and related labels reveals several aspects of the event labeling that may have hindered the performance of the investigated detection and classification techniques. In the end, we suggest future event labeling approaches that might help avoid the challenges and limitations of current PMU recording practices.
{"title":"Application of Machine Learning to Oscillation Detection using PMU Data based on Prony Analysis","authors":"Taif Mohamed, M. Kezunovic, Z. Obradovic, Y. Hu, Zheyuan Cheng","doi":"10.1109/ISGT-Europe54678.2022.9960589","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960589","url":null,"abstract":"Various types of oscillations could occur in the power grid from time to time. Most of them are harmless, while some could significantly impact the reliable power system operations. With increased penetration of renewable energy sources and the general transition to more complex power system operation comes the need for automated and accurate oscillation detection and classification methods. Such methods have been extensively studied in the past. Still, most of the earlier work was done for situational awareness purposes based primarily on simulated waveforms from synthetic power system models. This paper presents the results of an oscillation event detection method using machine learning algorithms trained on features extracted by Prony analysis from field-recorded PMU data. The unique experience of working with field-recorded historical synchrophasor data obtained from 38 PMUs located in the Western Interconnection of the US is shared. Four machine learning oscillation detection and classification models are trained using the results of Prony analysis as input features. The CatBoost classifier outperforms alternatives achieving 76.86% accuracy. An analysis of the data and related labels reveals several aspects of the event labeling that may have hindered the performance of the investigated detection and classification techniques. In the end, we suggest future event labeling approaches that might help avoid the challenges and limitations of current PMU recording practices.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133401957","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960692
D. P. Morán-Río, J. Roldán-Pérez, M. Prodanović, A. García-Cerrada
Microgrids (MGs) facilitate the integration of distributed energy resources (DERs) in electrical grids. To coordinate the operation of these DERs, a three-level hierarchical control is commonly used. In general, different control layers are designed with sufficient bandwidth separation between them to avoid unwanted dynamic interactions, resulting in slow outer controllers. However, the interactions between primary and secondary controllers when their bandwidths are close has not been addressed in detail in the literature. In addition, communication latency represents an important bottleneck for the controller speed, and its modelling and impact on the control are both of interest for the scientific community. In this paper, possible interactions between primary and secondary controllers in an islanded MG are studied as well as the role of communication delays. For that purpose, participation factor and eigenvalue analyses are used. Results show that primary and secondary controllers are engaged in a slight interaction linked with the weighting factors of the secondary controller. It is also shown that the sensitivity of secondary control eigenvalues to communication delays is similar for different designs of the primary control.
{"title":"Small-Signal Analysis of a Microgrid with Secondary Control Including the Dynamics of Primary Control and Communication Delays","authors":"D. P. Morán-Río, J. Roldán-Pérez, M. Prodanović, A. García-Cerrada","doi":"10.1109/ISGT-Europe54678.2022.9960692","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960692","url":null,"abstract":"Microgrids (MGs) facilitate the integration of distributed energy resources (DERs) in electrical grids. To coordinate the operation of these DERs, a three-level hierarchical control is commonly used. In general, different control layers are designed with sufficient bandwidth separation between them to avoid unwanted dynamic interactions, resulting in slow outer controllers. However, the interactions between primary and secondary controllers when their bandwidths are close has not been addressed in detail in the literature. In addition, communication latency represents an important bottleneck for the controller speed, and its modelling and impact on the control are both of interest for the scientific community. In this paper, possible interactions between primary and secondary controllers in an islanded MG are studied as well as the role of communication delays. For that purpose, participation factor and eigenvalue analyses are used. Results show that primary and secondary controllers are engaged in a slight interaction linked with the weighting factors of the secondary controller. It is also shown that the sensitivity of secondary control eigenvalues to communication delays is similar for different designs of the primary control.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125062741","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960375
Angela Simonovska, V. Bassi, Arthur Gonçalves Givisiez, L. Ochoa, T. Alpcan
The growing amount of residential photovoltaic (PV) systems is pushing distribution companies to adopt different solutions to manage customer voltage issues resulting from changes in net demand. One potential solution is the active management of PV settings, curtailing generation as needed. The conventional AC Optimal Power Flow (OPF) can be used for this purpose. However, OPF-based techniques require detailed three-phase low voltage (LV) network models which are not always available. This paper proposes the optimal calculation of PV settings to mitigate voltage problems in a LV feeder using, instead of power flow equations, a neural network (NN) trained to capture the nonlinear relationships among historical smart meter data (P, Q, V). In other words, an electrical model-free OPF. Results using a realistic Australian LV feeder with 31 single-phase customers are promising as the approach can calculate PV settings with good accuracy, without the need for electrical models.
住宅光伏(PV)系统的数量不断增长，促使配电公司采用不同的解决方案来管理因净需求变化而引起的客户电压问题。一个潜在的解决方案是主动管理光伏设置，根据需要减少发电量。传统的交流最优潮流(OPF)可用于此目的。然而，基于opf的技术需要详细的三相低压(LV)网络模型，而这些模型并不总是可用的。本文提出PV设置的最佳计算，以缓解低压馈线中的电压问题，使用神经网络(NN)来代替潮流方程，以捕获历史智能电表数据(P, Q, V)之间的非线性关系。换句话说，一个无电气模型的OPF。使用具有31个单相客户的现实澳大利亚低压馈线的结果很有希望，因为该方法可以在不需要电气模型的情况下以良好的精度计算PV设置。
{"title":"An Electrical Model-Free Optimal Power Flow for PV-Rich Low Voltage Distribution Networks","authors":"Angela Simonovska, V. Bassi, Arthur Gonçalves Givisiez, L. Ochoa, T. Alpcan","doi":"10.1109/ISGT-Europe54678.2022.9960375","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960375","url":null,"abstract":"The growing amount of residential photovoltaic (PV) systems is pushing distribution companies to adopt different solutions to manage customer voltage issues resulting from changes in net demand. One potential solution is the active management of PV settings, curtailing generation as needed. The conventional AC Optimal Power Flow (OPF) can be used for this purpose. However, OPF-based techniques require detailed three-phase low voltage (LV) network models which are not always available. This paper proposes the optimal calculation of PV settings to mitigate voltage problems in a LV feeder using, instead of power flow equations, a neural network (NN) trained to capture the nonlinear relationships among historical smart meter data (P, Q, V). In other words, an electrical model-free OPF. Results using a realistic Australian LV feeder with 31 single-phase customers are promising as the approach can calculate PV settings with good accuracy, without the need for electrical models.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794546","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960679
C. Duncan, Agnès François, R. Roche, M. Péra, S. Jemei
This paper shows a case study application of a novel power-to-gas operation simulation optimization model on Reunion Island to demonstrate how variable renewable energy curtailed can be minimized using such technologies. The proposed plant is integrated into a waste management facility to increase the methane production output for electricity generation. Two sizing scenarios are presented for the plant to analyze their operation over the simulated year, investigating the strengths and weaknesses of both. Results show that about 12% of curtailed electricity can be consumed to produce power for roughly 500 residents and increase the biogas plant capacity by 6%, using feedstocks that would have otherwise been discarded.
{"title":"Minimization of Variable Renewable Energy Curtailment in an Islanded System using Power-to-Gas Technology: a Reunion Island Case Study","authors":"C. Duncan, Agnès François, R. Roche, M. Péra, S. Jemei","doi":"10.1109/ISGT-Europe54678.2022.9960679","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960679","url":null,"abstract":"This paper shows a case study application of a novel power-to-gas operation simulation optimization model on Reunion Island to demonstrate how variable renewable energy curtailed can be minimized using such technologies. The proposed plant is integrated into a waste management facility to increase the methane production output for electricity generation. Two sizing scenarios are presented for the plant to analyze their operation over the simulated year, investigating the strengths and weaknesses of both. Results show that about 12% of curtailed electricity can be consumed to produce power for roughly 500 residents and increase the biogas plant capacity by 6%, using feedstocks that would have otherwise been discarded.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129637599","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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