{"title":"Design and Dynamic Modeling of Magnetic Power Split Device for a Tidal Stream Turbine","authors":"A. Harris, B. McGilton, M. Mueller","doi":"10.1049/icp.2021.1384","DOIUrl":"https://doi.org/10.1049/icp.2021.1384","url":null,"abstract":"To further reduce the cost of tidal energy, fully rated power converter failure should be addressed. It was the leading cause of down time in the MeyGen phase 1a project. A magnetic power split device is able to offer a partially rated converter, which has increased reliability over the fully rated converter. As a novel device, understanding the design requirements and dynamic behaviour are crucial. This paper address parameters that should be considered for minimising the cost of the magnetic power split device for a given tidal turbine operating strategy. It was found that the power rating of the device can be reduced by careful selection of the pole pair combination. The dynamic modelling and control of the device are also considered. A full state feedback controller is implemented and gives good response. This demonstrates that the magnetic power split device could suitably control the turbine rotor to follow the operating strategy for maximum power extraction from the flow.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121547034","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}
J. Kiviluoma, C. O’Dwyer, J. Ikäheimo, R. Lahon, Ran Li, Dana Kirchem, Niina Helistö, Topi Rasku, E. Rinne, D. Flynn
{"title":"ANALYSING WIND AND SOLAR POWER INTEGRATION WITH A MULTI-CARRIER ENERGY SYSTEM MODEL OF IRELAND","authors":"J. Kiviluoma, C. O’Dwyer, J. Ikäheimo, R. Lahon, Ran Li, Dana Kirchem, Niina Helistö, Topi Rasku, E. Rinne, D. Flynn","doi":"10.1049/icp.2021.1385","DOIUrl":"https://doi.org/10.1049/icp.2021.1385","url":null,"abstract":"Ireland has ambitious greenhouse gas reduction targets for 2030, with a range of measures being proposed to reduce fossil fuel consumption in various energy sectors through electrification. This article analyses the costs and benefits of several sector-coupling measures using an energy system model with hourly scheduling of the whole energy system. The results indicate the potential importance of electricity based heating in the industrial sector, smart charging of electric vehicles, batteries and power-to-ammonia, as part of achieving the future targets.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132912742","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":"RELIABILITY OF SMART GRIDS WITH SMART ASSETS AND LARGE WIND FARMS","authors":"P. A. Oyewole, D. Jayaweera","doi":"10.1049/icp.2021.1405","DOIUrl":"https://doi.org/10.1049/icp.2021.1405","url":null,"abstract":"Uncertainties and vulnerabilities exist with extensive integration of renewable energy resources and high dependence of the smart grid system on information communication technology. This paper proposes an innovative four-state smart component model based on Markovian differential time dependent state probabilities concept to capture smart components' intelligent operational behaviour in a smart grid system and to assess detailed reliability performance of the entire system. The proposed approach consists of the four-state smart model of smart component behaviour, stochastic variation of wind power generation outputs, random load variations and quantification of the impacts using Monte Carlo simulation. Also, the approach quantitatively evaluates the impacts of smart components failure in the presence of intermittent power generation of wind farms. The approach is demonstrated by case studies. The results suggest that the four-state smart components model capture the intelligent operational behaviour comprehensively. Findings justify that the intermittent integration of wind power outputs and geographical locations can potentially impact the smart grid system reliability considerably.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125678375","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":"IMPACT OF NETWORK DELAYS ON QUALITY OF VOLTAGE CONTROL FOR DISTRIBUTION GRIDS UNDER STRESS","authors":"Asma Farooq, Kamal Shahid, Yonghao Gui, R. Olsen","doi":"10.1049/icp.2021.1395","DOIUrl":"https://doi.org/10.1049/icp.2021.1395","url":null,"abstract":"Renewable energy sources (RES) such as solar and wind has emerged as the fastest growing energy sources. The growth of their deployment in the power sector leads to several challenges, for example, voltage violation, power quality issues, power losses etc. One of the several strategies to overcome the voltage violation problem is the provision of reactive power from the PV inverters. Local controller of the photo voltaic (PV) inverters coordinates with the coordinated controller to generate the reactive power. The coordinated controller performs its function based on the information obtained from the whole grid via underlying communication network. This imposes a high responsibility over the communication network infrastructure in order to ensure a reliable and stable voltage control in distribution grids (DGs). This paper, therefore, analyses the impact of communication networks on the voltage quality control supported by the reactive power generation of PV plants in DGs. Further, a voltage coordination scenario is presented based on an actual grid by a local distribution system operator (DSO) in Denmark. This paper evaluated the network performance in terms of network delays in the signal, being transferred between the smart meters of the grid and coordinated controller.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276565","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":"Dynamic Maximum Power Point Tracking of Photovoltaic Arrays based on Simplified Ripple Correlation Control","authors":"C. Caruana, Ahmed Al Durra, S. Muyeen","doi":"10.1049/icp.2021.1400","DOIUrl":"https://doi.org/10.1049/icp.2021.1400","url":null,"abstract":"Maximum power point tracking is an essential feature of photovoltaic technology. Numerous techniques have been established over the years to address this requirement. This paper takes a fresh look at maximum power point tracking using Ripple Correlation Control. A simplified implementation is proposed, which can be based on the injection of a carrier signal through standard converter hardware or through utilisation of the first harmonic of the inherent pulse width modulation switching. The paper identifies a novel simplified control strategy to extract the tracking error information and use it to obtain dynamic tracking even in the presence of capacitance at the array terminals. Simulation results show the effectiveness of the proposed simplified implementation.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125252556","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}
C. McKinnon, James R Carroll, A. McDonald, S. Koukoura, C. Plumley
{"title":"Investigation of anomaly detection technique for wind turbine pitch systems","authors":"C. McKinnon, James R Carroll, A. McDonald, S. Koukoura, C. Plumley","doi":"10.1049/icp.2021.1401","DOIUrl":"https://doi.org/10.1049/icp.2021.1401","url":null,"abstract":"Anomaly detection for Wind Turbine pitch system fault detection is an active area of research within the Wind Energy community. In this paper a novel condition monitoring technique was presented with the aim to reduce data storage requirements and computational intensity. The technique utilised an Isolation Forest Anomaly Detection model. This new technique was trained on a period of data per turbine to then test on each subsequent month of data individually. The anomaly count is then plotted to observe a trend before failure. This was done as a tool to assist in planning maintenance actions. The number of training months were compared for each turbine to find the minimum appropriate. It was found that one month was appropriate in most cases, with others requiring 3 or 4 months. The technique was able to detect failure up to 3 months before, and abnormal activity roughly 10 to 12 months before failure. Therefore this could be very beneficial to wind farm operators for scheduling maintenance activity around weather windows and vessel rate fluctuations.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125260062","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":"Islanding Dependencies and Detection in low-Voltage grids with grid forming Inverters","authors":"Björn O Winter, Florian Rauscher, B. Engel","doi":"10.1049/icp.2021.1369","DOIUrl":"https://doi.org/10.1049/icp.2021.1369","url":null,"abstract":"With increasing shares of distributed low-voltage renewable power generation, inadvertent islanding phenomena will occur with higher chance in the future. It is currently discussed whether grid forming inverters would further increase the chance of islanding to occur in certain scenarios. Against this background, this paper serves to give insight into islanding prerequisites and will investigate a basic model of the different physical dependencies that will exist in islands that might be created around grid supporting as well as grid forming inverters in order to highlight fundamental differences between the two islanding situations. Based upon these, possible pathways to detect and cease islanding using grid forming inverters in compliance with current grid codes are illustrated. One of these possibilities is further investigated and demonstrated in a laboratory setup.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950965","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":"An Investigation on Feature Extraction and Feature Selection for Power Quality Classification with High Resolution and RMS Data","authors":"A. Eisenmann, T. Streubel, K. Rudion","doi":"10.1049/icp.2021.1392","DOIUrl":"https://doi.org/10.1049/icp.2021.1392","url":null,"abstract":"This paper shows different state-of-the-art machine learning methods for structured data, applied to classification of power quality data sets. k-Nearest Neighbor, Support Vector Machine, Random Forest, XGBoost and LightGBM are chosen for comparison of classification of high resolution and root mean square data. Discrete wavelet transform and TsFresh are chosen for the pre-processing of the high-resolution data and the extraction of features. For feature selection, mutual information filtering, feature importance und sequential feature selection are tested. Special to this investigation is the use of both - highresolution waveform data (sample rate 5 kS/s) and root mean square data (20 ms). The input data were synthesized by mathematical equations. The highest score is achieved by the XGBoost classifier in combination with the LightGBM feature selector. Accuracy shows 97.71% for root mean square data and 98.96% for the high-resolution data. Furthermore, the results illustrate the dependency of the classification result on the data structure, feature extraction, feature selection and the classifier.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577602","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":"FAULT CURRENT MANAGEMENT UNDER HIGH PENETRATION OF DISTRIBUTED GENERATION IN SMART GRIDS","authors":"M. Gabr, T. Megahed, S. Abdelkader","doi":"10.1049/icp.2021.1391","DOIUrl":"https://doi.org/10.1049/icp.2021.1391","url":null,"abstract":"This paper introduces a new technique for mitigating the impact of Distributed Generation (DG) on fault current in radial distribution systems. The proposed approach employs the power electronics interface to control the DG fault current contribution. For this purpose, the power converter control DG current phase angle to achieve a reduction in total fault current magnitude. The appropriate control of DG current phase angle can limit the total fault current magnitude to the original value without DG; hence effectively mitigate the impact of adding DG. The evaluation of the proposed technique illustrates the validity of the proposed method for the management of the fault current magnitude.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133242714","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}
M. Ramirez-Gonzalez, F. R. Segundo Sevilla, P. Korba
{"title":"A study on the frequency dynamics of the ENTSO-E grid with increasing share of renewable generation","authors":"M. Ramirez-Gonzalez, F. R. Segundo Sevilla, P. Korba","doi":"10.1049/icp.2021.1367","DOIUrl":"https://doi.org/10.1049/icp.2021.1367","url":null,"abstract":"The influence on frequency dynamics of centralized and decentralized approaches to achieve desired penetration levels of converter-interfaced generation (CIG) in the ENTSO-E initial dynamic model of Continental Europe is investigated in this paper. Simulation studies are also carried out to determine the effect that the particular set of synchronous generators to be displaced may have on system frequency response. Furthermore, the contribution of CIG equipped with additional control functions to mitigate frequency stability issues and enhance system dynamics is also analysed. All the simulation studies are carried out with the test power system implemented in DIgSILENT PowerFactory and a task automation script in Python.","PeriodicalId":223615,"journal":{"name":"The 9th Renewable Power Generation Conference (RPG Dublin Online 2021)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247841","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}