M. Higginson, Keith Moses, Bob Harwig, P. Curtiss, Himanshu Tiwari
{"title":"Microgrid Seamless Transitions Between Grid-Tied and Islanded Operation: A Case Study","authors":"M. Higginson, Keith Moses, Bob Harwig, P. Curtiss, Himanshu Tiwari","doi":"10.1109/TD39804.2020.9299920","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299920","url":null,"abstract":"The authors recently contributed to the successful design and commissioning of a microgrid system. This microgrid system is capable of seamlessly transitioning between grid-tied and islanded operation, both during planned operations and during unplanned system events. The experiences and lessons learned from this project are presented and extrapolated to identify characteristics of microgrids that are conducive to achieving seamless transitions within the breadth of possible system conditions.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417838","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. S. Alam, Y. Rafat, Ibrahim Alsaidan, S. Shariff, M. I. Khan, Furkan Ahmad
{"title":"Feasibility Analysis of Human to Nanogrid (H2N) Model for Backup Power System","authors":"M. S. Alam, Y. Rafat, Ibrahim Alsaidan, S. Shariff, M. I. Khan, Furkan Ahmad","doi":"10.1109/TD39804.2020.9299894","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299894","url":null,"abstract":"The distributed mode of generation reduces the complications related to transmission and distribution which has its discrete advantages. This paper proposes a model of Human to Nanogrid (H2N) that is based on the distributed generation technology to harness and store the human energy wasted during a workout on different gym equipment into a bank of supercapacitors. Targeted machines at the health club are selected based on the maximum load that can be lifted and also based on specific muscle group exercise that can be performed on them, such as bench press and Lat pulldown machine. Mechanical energy generated from a machine by different users over a period is studied and a comparison between the human power output and the energy consumption at the gym is carried out to find the change in monthly and yearly electricity bill. Finally, the collected data is utilized to analyze the energy savings, emission reduction and also the break-even analysis is performed to determine the payback period.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124418155","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":"Long-Term Behavior of Natural Ester Filled Power Transformers in Eletronorte Transmission System","authors":"Iran Prado Arantes, A. Sbravati, R. I. da Silva","doi":"10.1109/TD39804.2020.9299935","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299935","url":null,"abstract":"Back in 2006 Eletronorte developed a specification for power transformers filled with natural ester liquids and started purchasing units. Most relevant motivations were the mitigation of the risks of fires and for the environment, as many substations are in remote and environmentally sensitive locations. Starting with small units on the 69kV voltage class, the good results motivated the use up to 245kV units. More than a decade later, a review of the transformer assessment parameters of over 20 units confirms natural ester as a proven technology, offering improved reliability and resilience to the grid.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117223074","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":"Low-Complexity Single Vector Based Model Predictive Control Under Nonideal Grid Conditions","authors":"Xaihong Ran, Bo Xu, Shipeng Leng, Kaipei Liu","doi":"10.1109/TD39804.2020.9299942","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299942","url":null,"abstract":"To mitigate the adverse effects of the unbalanced grid voltages on the pulse width modulation (PWM) rectifier, a low-complexity model predictive control (LC-MPC) method of single vector is proposed based on the extended instantaneous power theory. Based on the elaborated analysis of PWM rectifier under unbalanced grid voltages, a new defined negative conjugate of complex power vector is as control variable, and the principle of selecting best voltage vector is deduced. Compared to LC-MPC based on conventional instantaneous power theory, the proposed strategy regulates the constant power references while no power compensation. Comparative study of the proposed method with conventional method is conducted under nonideal grid condition, and simulation results in the MATLAB demonstrate superior performance of the proposed LC-MPC strategy.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125361558","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":"Economic Analysis of Transformer Loss of Life Mitigation Using Energy Storage and PV Generation","authors":"Milad Soleimani, M. Kezunovic","doi":"10.1109/TD39804.2020.9299895","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299895","url":null,"abstract":"High penetration of electric vehicles (EVs) can potentially put the utility assets such as transformers under overload stress causing decrease in their lifetime. The decrease in PV and battery energy storage system (BESS) prices has made them viable solutions to mitigate this situation. In this paper, the economic aspect of their optimal coordination is studied to assess transformer loss of life and hottest spot temperature (HST). Monte Carlo simulation is employed to provide synthetic data of EVs load in a residential complex and model their stochastic behavior. For load, temperature, energy price and PV generation, data for City of College Station, Texas, USA in 2018 is acquired and a case study is developed for one year. The results illustrate using BESS and PV is economically effective and mitigates distribution transformer loss of life.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125425828","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":"Model Reduction of Wind Turbine Generator Models for Control Performance Evaluation","authors":"F. Wilches-Bernal, C. Lackner, J. Chow","doi":"10.1109/TD39804.2020.9299995","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299995","url":null,"abstract":"Power system operations are fundamentally changed by the growing installation of wind generation systems. The undispatchable nature of wind turbine generators (WTGs) causes the operating conditions of power systems to be more volatile. At the same time, the converter-based interface of WTGs are capable, and are increasingly expected to, provide voltage and frequency regulation capabilities. Monitoring of power systems becomes critical under these anticipated conditions and high resolution data, such as synchrophasors, are crucial for this task. This paper presents an approximate low-order model of WTGs that can be readily estimated from available synchrophasor measurements. The identification of the parameters of the model can be used to approximate the control performance of WTGs and their contributions to frequency and voltage regulation.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037916","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}
O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli
{"title":"Zero-Sequence Impedance Estimation in Mutually Coupled Transmission Lines Using Fault Record Data","authors":"O. A. Gashteroodkhani, M. Majidi, M. Etezadi-Amoli","doi":"10.1109/TD39804.2020.9299904","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299904","url":null,"abstract":"Estimation of line impedances is of great interest to power system engineers. Power utility companies use different software to calculate line impedances based on the conductor and structure types. However, the calculated values cannot remain accurate due to atmospheric condition. Also, due to lack of communication between the line construction, maintenance, and other departments, a line conductor/structure may be partially/totally changed without notifying the affected departments. Various estimation methods are used to dynamically obtain line impedance values. The majority of these methods use phasor measurement units (PMU s) for the impedances estimation. These methods require PMU s in the substations and fail to measure zero-sequence voltages/currents due to inadequate zero-sequence components under normal operation. The estimation of zero-sequence impedances is even more challenging for parallel transmission lines which are mutually coupled. This study proposes a method for estimating the self and mutual zero-sequence impedances for mutually coupled transmission lines using recorded fault data by protective relays. Extensive simulation results in RSCAD/RTDS indicate that the proposed approach has high accuracy in estimating the self and mutual zero-sequence impedances as well as the fault location in parallel transmission lines.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117269563","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}
Cody J. Newlun, F. Currie, E. O’Neill-Carrillo, E. A. Bezares, R. Byrne
{"title":"Energy Resource Planning for Puerto Rico's Future Electrical System","authors":"Cody J. Newlun, F. Currie, E. O’Neill-Carrillo, E. A. Bezares, R. Byrne","doi":"10.1109/TD39804.2020.9300009","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9300009","url":null,"abstract":"In 2017, Hurricane Maria damaged a large portion of the Puerto Rico (PR) electrical infrastructure, leading to longterm outages across many regions. Therefore, transformation and re-development of the island's grid system is of high interest. A key part of this re-development is the passing of an updated renewable portfolio standard (RPS), originally enacted in 2010, which states that by 2050 the energy needs in PR will be met entirely by renewable resources. The purpose of this paper is to determine the amount of renewable generation and energy storage necessary to meet these energy goals. An increase in renewable generation within any system poses several difficulties such as meeting night-time demand and handling the operation of the existing thermal fleet. A mixed-integer linear program optimization is formulated to identify the required investments in photovoltaic solar and energy storage to meet the RPS and to minimize the investment and operational costs. Within this RPS case study a sensitivity analysis is performed with different energy storage investment costs scenarios.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128232320","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}
Jason Ausmus, P. Sen, Tianying Wu, U. Adhikari, Y. Zhang, V. Krishnan
{"title":"Improving the Accuracy of Clustering Electric Utility Net Load Data using Dynamic Time Warping","authors":"Jason Ausmus, P. Sen, Tianying Wu, U. Adhikari, Y. Zhang, V. Krishnan","doi":"10.1109/TD39804.2020.9299915","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9299915","url":null,"abstract":"Identifying patterns in electric utility net load data in a time-series format is very useful in preparing the operation for next day. Machine learning algorithms have been used in other domains and those concepts are applied in this paper on real-world net load measurement data. Clustering is the practice of grouping data with similar characteristics as determined by the distance measure. The K-means clustering algorithm is utilized here with actual electric utility data. The paper uses the standard distance measure, Euclidean distance (ED), and compares its performance against the dynamic time warping (DTW) measure. An actual case study with real data is presented, and DTW distance measure-based method observed to result better accuracy compared to the ED based method for substation net load measurements predominantly with residential customers.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128730152","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":"Smart Cable Accessories - Next generation of cable accessories, with additional functionalities to correspond with the needs of future networks","authors":"Hamed Rezaei, Christoph Lederle, F. Drumm","doi":"10.1109/TD39804.2020.9300010","DOIUrl":"https://doi.org/10.1109/TD39804.2020.9300010","url":null,"abstract":"As power networks move toward decentralized and renewable resources, grid monitoring becomes more challenging. The role of data in power networks is becoming crucial, not only for optimized grid operation but also to ensure reliability of the system through preventive and predictive maintenance of grid components. This requires smarter grid component solutions which can provide the required data. Cable accessories are among these smart solutions/components, which can provide system monitoring. Cable accessories today, have only one functionality - namely connectivity. Future grid networks could benefit from cable accessories with additional measuring and sensing features as a secondary functionality - Enter the “smart” generation of cable accessories.","PeriodicalId":325598,"journal":{"name":"2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005517","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}