Pub Date : 2021-08-31DOI: 10.1109/UPEC50034.2021.9548236
J. P. Uwiringiyimana, Suwarno, U. Khayam
Partial discharge (PD) activity in high-voltage power equipment is a warning sign of insulation degradation that subsequently leads to the aging and breakdown of the power equipment. For the reliable and safe operation of high voltage power equipment, a PD diagnostic technique needs to be performed to assess and monitor closely the insulation condition. This paper presents a new type of UHF microstrip patch antenna with ultra-wideband frequency that can assist the UHF PD monitoring system to detect PD on high voltage equipment such as power transformers. This antenna was designed and simulated using CST Microwave Studio software. After design and simulation, the antenna was fabricated on a printed circuit board with FR4-epoxy substrate having a thickness of 1.6mm and dielectric permittivity of 4.4. The radiating patch and ground plane of this antenna are made of copper whose thickness is 0.035. The designed microstrip patch antenna was implemented to detect partial discharge on the transformer tank model. Based on the measurement results of the antenna characteristic parameters by using the Vector Network Analyzer, it is seen that the designed antenna has an operating frequency range of 1.2GHz-4.5GHz, and a bandwidth of 3.3GHz. Based on PD measurement results, the new design of the microstrip patch antenna has a high sensitivity in detecting the PD signals caused by insulation defects inside the transformer tank. The ultra-wideband frequency response of this antenna makes it a suitable and promising sensor for PD detection and PD recognition on high voltage equipment such as power transformers.
{"title":"New Design of UHF Microstrip Patch Antenna for Partial Discharge Detection on Power Transformer","authors":"J. P. Uwiringiyimana, Suwarno, U. Khayam","doi":"10.1109/UPEC50034.2021.9548236","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548236","url":null,"abstract":"Partial discharge (PD) activity in high-voltage power equipment is a warning sign of insulation degradation that subsequently leads to the aging and breakdown of the power equipment. For the reliable and safe operation of high voltage power equipment, a PD diagnostic technique needs to be performed to assess and monitor closely the insulation condition. This paper presents a new type of UHF microstrip patch antenna with ultra-wideband frequency that can assist the UHF PD monitoring system to detect PD on high voltage equipment such as power transformers. This antenna was designed and simulated using CST Microwave Studio software. After design and simulation, the antenna was fabricated on a printed circuit board with FR4-epoxy substrate having a thickness of 1.6mm and dielectric permittivity of 4.4. The radiating patch and ground plane of this antenna are made of copper whose thickness is 0.035. The designed microstrip patch antenna was implemented to detect partial discharge on the transformer tank model. Based on the measurement results of the antenna characteristic parameters by using the Vector Network Analyzer, it is seen that the designed antenna has an operating frequency range of 1.2GHz-4.5GHz, and a bandwidth of 3.3GHz. Based on PD measurement results, the new design of the microstrip patch antenna has a high sensitivity in detecting the PD signals caused by insulation defects inside the transformer tank. The ultra-wideband frequency response of this antenna makes it a suitable and promising sensor for PD detection and PD recognition on high voltage equipment such as power transformers.","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":"129438941","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/UPEC50034.2021.9548156
F. Norouzi, L. Elizondo, T. Hoppe, P. Bauer
The dynamic behaviour - steady-state and transient - of the DC Microgrids during power disturbance can affect the system’s general performance. A hybrid combination of energy storage devices with slow frequency response, like a Fuel Cell, and with a fast dynamic response, like a Super-Capacitor, provides an improved dynamic response to stabilise DC bus voltage. However, control parameters should be designed based on the preferences of the system. This paper proposes a fuzzy-based controller to determine the Virtual Capacitor Droop controller to achieve the desired transient response. The proposed dynamic control method is validated through MATLAB/Simulink.
{"title":"An Adaptive Control Strategy for Dynamic Response of an Autonomous DC system","authors":"F. Norouzi, L. Elizondo, T. Hoppe, P. Bauer","doi":"10.1109/UPEC50034.2021.9548156","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548156","url":null,"abstract":"The dynamic behaviour - steady-state and transient - of the DC Microgrids during power disturbance can affect the system’s general performance. A hybrid combination of energy storage devices with slow frequency response, like a Fuel Cell, and with a fast dynamic response, like a Super-Capacitor, provides an improved dynamic response to stabilise DC bus voltage. However, control parameters should be designed based on the preferences of the system. This paper proposes a fuzzy-based controller to determine the Virtual Capacitor Droop controller to achieve the desired transient response. The proposed dynamic control method is validated through MATLAB/Simulink.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"268 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":"124353006","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/UPEC50034.2021.9548257
Mohamed Osman, G. Taylor, B. Rawn, T. Nwachukwu
The structure of the Nigerian interconnected system, which includes long power lines and a small number of generators, leads to technical challenges to stability of the interconnection. The static models of the Nigerian high voltage system indicate certain system deficiencies and weak points, but records and observations of system collapses suggest that swing instabilities are sometimes part of rapid frequency decline. A dynamic model of system behavior can help determine whether system stability is major limiting factor for system operation, enable better forensic analysis of blackout events, lead to proposals for mitigating measures within the reach of operators. Accurate modelling of generator excitation systems represents a critical first step in the development of robust dynamic models-but validated excitation system parameters are not necessarily available for all generators, for when not all parameters are available, this paper establishes and tests a procedure that is used to select credible parameters. The paper demonstrates how one can build acceptable power system model that supports preliminary benchmarking and validation.
{"title":"Development of Excitation System Modelling Approaches for the Nigerian Grid","authors":"Mohamed Osman, G. Taylor, B. Rawn, T. Nwachukwu","doi":"10.1109/UPEC50034.2021.9548257","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548257","url":null,"abstract":"The structure of the Nigerian interconnected system, which includes long power lines and a small number of generators, leads to technical challenges to stability of the interconnection. The static models of the Nigerian high voltage system indicate certain system deficiencies and weak points, but records and observations of system collapses suggest that swing instabilities are sometimes part of rapid frequency decline. A dynamic model of system behavior can help determine whether system stability is major limiting factor for system operation, enable better forensic analysis of blackout events, lead to proposals for mitigating measures within the reach of operators. Accurate modelling of generator excitation systems represents a critical first step in the development of robust dynamic models-but validated excitation system parameters are not necessarily available for all generators, for when not all parameters are available, this paper establishes and tests a procedure that is used to select credible parameters. The paper demonstrates how one can build acceptable power system model that supports preliminary benchmarking and validation.","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":"125888346","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/UPEC50034.2021.9548275
Nico Schütte, Alexander Neufeld, L. Hofmann, R. Dommerque, M. Nazemi
Increased installation of power cables and the intensified roll-out of power electronic equipment in the extra high voltage level pose challenges for network operators to assess network perturbations and power quality issues. In order to regulate harmonic levels in electric networks, grid operators are required to assign harmonic emission limits to the grid connection users. This ensures the compliance with the compatibility levels of the transmission grid. In this paper, the allocation procedure of harmonic current limits according to the novel German application rule VDE AR-N 4130 is compared with the approach from technical guideline IEC TR 61000-3-6. Key differences between both approaches are detected and presented on the basis of a case study. A restrictive component formulated in IEC method is elaborated, which is decisive for the differences occurring. Based on this finding, an adaptation of the allocation principle according to VDE is proposed. This adaptation enhances the allocation of comparable harmonic current emission limits.
{"title":"Harmonic Emission Limit Allocation Using VDE AR-N 4130: Application and Adaptation of Experiences from IEC TR 61000-3-6","authors":"Nico Schütte, Alexander Neufeld, L. Hofmann, R. Dommerque, M. Nazemi","doi":"10.1109/UPEC50034.2021.9548275","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548275","url":null,"abstract":"Increased installation of power cables and the intensified roll-out of power electronic equipment in the extra high voltage level pose challenges for network operators to assess network perturbations and power quality issues. In order to regulate harmonic levels in electric networks, grid operators are required to assign harmonic emission limits to the grid connection users. This ensures the compliance with the compatibility levels of the transmission grid. In this paper, the allocation procedure of harmonic current limits according to the novel German application rule VDE AR-N 4130 is compared with the approach from technical guideline IEC TR 61000-3-6. Key differences between both approaches are detected and presented on the basis of a case study. A restrictive component formulated in IEC method is elaborated, which is decisive for the differences occurring. Based on this finding, an adaptation of the allocation principle according to VDE is proposed. This adaptation enhances the allocation of comparable harmonic current emission limits.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"13 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":"126772623","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/UPEC50034.2021.9548194
Rahul Rane, A. Pandey, F. Kazi
Large areas of modern power systems are inter-connected for improved power pooling, resulting in higher system inertia. On the other hand, it provides the capability of long-distance transmission of power. Thus, increasing the potential of tie-lines to run at near-maximum capacity. The probability of inter-area oscillations between two areas increases as tie lines are operated closer to full capacity, and this is particularly prevalent near high load density areas. Inter-area stability analysis is becoming more difficult as the current power system becomes more interconnected. This paper implements the energy-sorted Matrix Pencil Method (MPM) on a real-time simulation testbed to perform an online estimation of Low-Frequency Electromechanical Oscillations (LFEOs) present in a power system that is complex and highly interconnected and also implements an oscillation detection method on Phasor Measurement Units (PMUs) data to ensure that energy-sorted MPM is be applied to the relevant data type. As a result, the estimation of modal parameters can be utilized further with confidence and promptly. The proposed process is evaluated on a Klein-Rogers-Kundur test case, and the outcome of the simulation is presented which justifies the effectiveness of energy-sorted MPM in real-time LEFOs.
{"title":"Real-Time Electromechanical Mode Identification through Energy-sorted Matrix Pencil Method","authors":"Rahul Rane, A. Pandey, F. Kazi","doi":"10.1109/UPEC50034.2021.9548194","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548194","url":null,"abstract":"Large areas of modern power systems are inter-connected for improved power pooling, resulting in higher system inertia. On the other hand, it provides the capability of long-distance transmission of power. Thus, increasing the potential of tie-lines to run at near-maximum capacity. The probability of inter-area oscillations between two areas increases as tie lines are operated closer to full capacity, and this is particularly prevalent near high load density areas. Inter-area stability analysis is becoming more difficult as the current power system becomes more interconnected. This paper implements the energy-sorted Matrix Pencil Method (MPM) on a real-time simulation testbed to perform an online estimation of Low-Frequency Electromechanical Oscillations (LFEOs) present in a power system that is complex and highly interconnected and also implements an oscillation detection method on Phasor Measurement Units (PMUs) data to ensure that energy-sorted MPM is be applied to the relevant data type. As a result, the estimation of modal parameters can be utilized further with confidence and promptly. The proposed process is evaluated on a Klein-Rogers-Kundur test case, and the outcome of the simulation is presented which justifies the effectiveness of energy-sorted MPM in real-time LEFOs.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"255 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":"122645000","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/UPEC50034.2021.9548259
Z. M. Pinter, Dimitrios Papageorgiou, Gunnar Rohde, M. Marinelli, C. Træholt
Battery cells within battery energy storage systems (BESS) do not have homogeneous attributes, and the lowest capacity ones limit the performance and lifetime of the whole pack. Modern battery management systems (BMS) solve this problem with balancing, while providing the required service, and safe operation to the user. Reconfigurable battery systems (RBS) are BESSs that involve a BMS with reconfiguration. Reconfiguration uses feedback to determine the circuit switching logic. This paper presents a structured review of the control algorithms for RBSs. The RBSs are divided into groups according to their control strategies and control implementations. Finding the adequate control strategy requires well-defined objectives and control design. The control implementation focuses on physical and architectural aspects, like the reconfiguration frequency, the balancing operation and the control topology. The considerations and categories are discussed with the advantages, disadvantages and academic examples, and then an innovative industrial BMS is introduced.
{"title":"Review of Control Algorithms for Reconfigurable Battery Systems with an Industrial Example","authors":"Z. M. Pinter, Dimitrios Papageorgiou, Gunnar Rohde, M. Marinelli, C. Træholt","doi":"10.1109/UPEC50034.2021.9548259","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548259","url":null,"abstract":"Battery cells within battery energy storage systems (BESS) do not have homogeneous attributes, and the lowest capacity ones limit the performance and lifetime of the whole pack. Modern battery management systems (BMS) solve this problem with balancing, while providing the required service, and safe operation to the user. Reconfigurable battery systems (RBS) are BESSs that involve a BMS with reconfiguration. Reconfiguration uses feedback to determine the circuit switching logic. This paper presents a structured review of the control algorithms for RBSs. The RBSs are divided into groups according to their control strategies and control implementations. Finding the adequate control strategy requires well-defined objectives and control design. The control implementation focuses on physical and architectural aspects, like the reconfiguration frequency, the balancing operation and the control topology. The considerations and categories are discussed with the advantages, disadvantages and academic examples, and then an innovative industrial BMS is introduced.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"23 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":"122832657","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/UPEC50034.2021.9548243
Michael O Donovan, N. Barry, J. Connell, Eoin Cowhey
Many electrical utilities worldwide are increasingly using series compensation to meet the need to add large amounts of renewable energy resources such as wind and solar to the existing power system network. In series compensated lines, the effective line inductive reactance becomes small due to the capacitive compensation. This can lead to voltage and current inversion and subsynchronous oscillations during disturbances along the series compensated line. For distance relays, special consideration must be taken for series compensated, and adjacent lines due to the series capacitor bank (SCB) alters the line impedance. This can cause a protection relay to operate for faults beyond its normal reach. A 400 kV series compensated network is modelled using DigSilent Power Factory. Electromagnetic transients (EMT) analysis was performed on distance protection devices on the network. The results presented in this paper show that a series compensated line presents challenges for setting distance relay protection where a three-phase fault can lead to overreach, voltage, or current inversion at different network locations.
世界范围内的许多电力公司越来越多地采用串联补偿来满足向现有电力系统网络中添加大量可再生能源(如风能和太阳能)的需求。在串联补偿线路中,由于容性补偿,有效线路电感抗变小。这可能导致电压和电流反转和次同步振荡期间沿串联补偿线路的干扰。对于距离继电器,必须特别考虑串联补偿,由于串联电容器组(SCB)改变了线路阻抗,相邻线路。这可能导致保护继电器在超出其正常范围的故障时运行。利用DigSilent Power Factory对400kv串联补偿网络进行了建模。对网络中的距离保护装置进行了电磁瞬变分析。本文的结果表明,串联补偿线路对设置距离继电保护提出了挑战,其中三相故障可能导致不同网络位置的过伸,电压或电流反转。
{"title":"Analysis of a Midpoint Series Compensated Line","authors":"Michael O Donovan, N. Barry, J. Connell, Eoin Cowhey","doi":"10.1109/UPEC50034.2021.9548243","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548243","url":null,"abstract":"Many electrical utilities worldwide are increasingly using series compensation to meet the need to add large amounts of renewable energy resources such as wind and solar to the existing power system network. In series compensated lines, the effective line inductive reactance becomes small due to the capacitive compensation. This can lead to voltage and current inversion and subsynchronous oscillations during disturbances along the series compensated line. For distance relays, special consideration must be taken for series compensated, and adjacent lines due to the series capacitor bank (SCB) alters the line impedance. This can cause a protection relay to operate for faults beyond its normal reach. A 400 kV series compensated network is modelled using DigSilent Power Factory. Electromagnetic transients (EMT) analysis was performed on distance protection devices on the network. The results presented in this paper show that a series compensated line presents challenges for setting distance relay protection where a three-phase fault can lead to overreach, voltage, or current inversion at different network locations.","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":"125860662","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/UPEC50034.2021.9548199
H. Cai, Xinya Song, Yuelin Zeng, T. Jiang, S. Schlegel, D. Westermann
The electrical energy system is transforming itself into a sustainable energy supply in response to the decline in fossil fuels. This conversion is driving the expansion of renewable energy facilities such as photovoltaic plants and wind power plants. Except for large hydropower plants and offshore wind farms, the integration of renewable energies takes place predominantly in the medium- and low-voltage distribution networks. This leads to a lack of observability and increasing grid complexity. Consequently, distribution network operators are constantly faced with a challenge in terms of observability. A comprehensive installation of measuring instruments in the medium- and low-voltage networks has proved economically unviable. An alternative approach to network state monitoring within the framework of power grid digital twin (DT) is therefore developed in this paper. The patterns of the electrical energy system are detected and modeled employing an artificial neural network (ANN) in connection with the associated harmonic spectra. Based on this DT model, the active powers of renewable energy facilities are estimated through the measured voltage data. In this regard, this work is first devoted to the modeling of an ANN-based DT estimator. The proposed power state estimation is then validated with the measured data from a field test. The accuracy of the estimation will be investigated according to the different influencing factors.
{"title":"A Practical Approach to Construct a Digital Twin of a Power Grid using Harmonic Spectra","authors":"H. Cai, Xinya Song, Yuelin Zeng, T. Jiang, S. Schlegel, D. Westermann","doi":"10.1109/UPEC50034.2021.9548199","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548199","url":null,"abstract":"The electrical energy system is transforming itself into a sustainable energy supply in response to the decline in fossil fuels. This conversion is driving the expansion of renewable energy facilities such as photovoltaic plants and wind power plants. Except for large hydropower plants and offshore wind farms, the integration of renewable energies takes place predominantly in the medium- and low-voltage distribution networks. This leads to a lack of observability and increasing grid complexity. Consequently, distribution network operators are constantly faced with a challenge in terms of observability. A comprehensive installation of measuring instruments in the medium- and low-voltage networks has proved economically unviable. An alternative approach to network state monitoring within the framework of power grid digital twin (DT) is therefore developed in this paper. The patterns of the electrical energy system are detected and modeled employing an artificial neural network (ANN) in connection with the associated harmonic spectra. Based on this DT model, the active powers of renewable energy facilities are estimated through the measured voltage data. In this regard, this work is first devoted to the modeling of an ANN-based DT estimator. The proposed power state estimation is then validated with the measured data from a field test. The accuracy of the estimation will be investigated according to the different influencing factors.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"37 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":"122349492","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/UPEC50034.2021.9548274
Bhavana Burramukku, O. Ceylan, M. Neshat
One of the most important factors in the amount of power generated by a wave farm is the Wave Energy Converters (WECs) arrangement along with the usual wave conditions. Therefore, forming an appropriate arrangement of WECs in an array is a significant parameter in maximizing power absorption. This paper focuses on developing a fully connected neural model in order to predict the total power output of a wave farm based on the placement of the converters, derived from the four real wave scenarios on the southern coast of Australia. The applied converter model is a fully submerged three-tether converter called CETO. Data collected from the test sites is used to design a neural model for predicting the wave farm’s power output produced. A precise analysis of the WEC placement is investigated to reveal the amount of power generated by the wave farms on the test site. We finally proposed a suitable configuration of a fully connected neural model to forecast the power output with high accuracy.
{"title":"Power Output Prediction of Wave Farms Using Fully Connected Networks","authors":"Bhavana Burramukku, O. Ceylan, M. Neshat","doi":"10.1109/UPEC50034.2021.9548274","DOIUrl":"https://doi.org/10.1109/UPEC50034.2021.9548274","url":null,"abstract":"One of the most important factors in the amount of power generated by a wave farm is the Wave Energy Converters (WECs) arrangement along with the usual wave conditions. Therefore, forming an appropriate arrangement of WECs in an array is a significant parameter in maximizing power absorption. This paper focuses on developing a fully connected neural model in order to predict the total power output of a wave farm based on the placement of the converters, derived from the four real wave scenarios on the southern coast of Australia. The applied converter model is a fully submerged three-tether converter called CETO. Data collected from the test sites is used to design a neural model for predicting the wave farm’s power output produced. A precise analysis of the WEC placement is investigated to reveal the amount of power generated by the wave farms on the test site. We finally proposed a suitable configuration of a fully connected neural model to forecast the power output with high accuracy.","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"125 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":"116848412","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}
{"title":"List of Papers","authors":"P. Brandt, -. Chris, Klaus Pinho tian Lawonn, P. Andersson, P. Pinho, P. Andersson","doi":"10.1515/9781400849895-014","DOIUrl":"https://doi.org/10.1515/9781400849895-014","url":null,"abstract":"Notation for Publications ML1 – Machine Learning/Data Mining, GA – Graph Algorithms/Network Science, NLP – Natural Language Processing/Text Mining, MS – Multiscale Methods, QC – Quantum Computing, CSC – Combinatorial Scientific Computing, AGT – Agent-based Modeling, BIO – Applications in Biology/Medicine/Healthcare, ENG – Applications in Computational Engineering, VIS – Visualization, COMB – Other Combinatorics","PeriodicalId":325389,"journal":{"name":"2021 56th International Universities Power Engineering Conference (UPEC)","volume":"48 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":"116980905","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}