{"title":"Centralized Control Design for Bidirectional DC Charging Stations to Enable V2G","authors":"Asal Zabetian-Hosseini, G. Joós, B. Boulet","doi":"10.1109/td43745.2022.9817010","DOIUrl":"https://doi.org/10.1109/td43745.2022.9817010","url":null,"abstract":"In this study, a centralized primary control design is proposed for the DC charging station (DC-CS) to enable vehicle-to-grid (V2G) for electric vehicles (EVs). The proposed control design aggregates EVs with the optional energy storage system (ESS) in the charging station while balancing their state of charges (SoCs). Unlike the conventional methods, the proposed controller deploys EVs data including their energy capacities, SoC limits, and charging and discharging power limits to ensure the safe operation of EV batteries in the V2G mode. Additionally, it balances SoC significantly faster compared to conventional distributed controllers deploying a proposed centralized method to protect EV batteries from over-charge/over-discharge and extend the available total energy capacity in the charging station. The performance of the proposed controller is studied in a case study in the DC-CS.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130724801","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}
Xian Guo, I. Ndiaye, Hanchao Liu, Y. John, A. Elasser
{"title":"Sensitivity analysis of the technical and economic feasibility of converter-interfaced CHP System","authors":"Xian Guo, I. Ndiaye, Hanchao Liu, Y. John, A. Elasser","doi":"10.1109/td43745.2022.9816928","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816928","url":null,"abstract":"The adoption of small-to-medium sized (1MW~20MW) combined heat and power (CHP) system is lagging, especially in industrial and commercial applications. Our prior research has proved that interfacing CHP with grid-ready converters can increase its economic value and technical benefits; this paper is focused on investigating the critical parameters impacting profitability of converter-interfaced CHP, including CHP sizing scenario, energy price, generator cost, converter cost, voltage support price, converter to engine size ratio and interconnection delay. An automatic toolkit for evaluating CHP return on investment (ROI) is developed to enhance the computation capability and efficiency. Based on varying the value of critical parameters, 975 use cases are analyzed. Results show that the profitability of converter-interfaced CHP over directly-coupled CHP is more sensitive to energy price, delays in interconnection process, converter cost and much less to generator cost or voltage support price.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114305011","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":"Blocked Delayed Elimination in the Power System State Estimator","authors":"V. Brandwajn, Dinesh Ranbhise, Luc Radu","doi":"10.1109/td43745.2022.9816895","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816895","url":null,"abstract":"Grouping of the state estimator gain matrices into a blocked structure resembling the sparse Y-bus matrix is well accepted in the state estimation. However, features like the estimation of transformer tap position and zero impedance line flows may result in pivot failures when the blocked delayed elimination is used. Two types of enhancements are implemented to overcome these issues: enhance the pivot selection criterion in the delayed elimination and selectively apply the concept of an unknown measurement in the formulation of equations. These enhancements have improved the availability and quality of state estimation solution without the need for orthogonalization.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132617","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":"Approaches to Distribution Modernization","authors":"Benjamin Cynewski, Ian Bouffard","doi":"10.1109/td43745.2022.9816948","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816948","url":null,"abstract":"In today's dynamic power delivery world, utilities are increasingly focused on electrical distribution systems and reliability. Many companies are modernizing their distribution circuits to enable automated operation, increase real-time visibility to system events and improve network optimization and reliability. The authors of this paper highlight the approaches and lessons learned from supporting a major utility in implementing a system wide distribution modernization project.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137427","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}
R. King, T. Laughner, B. Marshall, C. Sloop, J. Wellinghoff
{"title":"High-Density Distributed Sensor Network For Monitoring Grid Events","authors":"R. King, T. Laughner, B. Marshall, C. Sloop, J. Wellinghoff","doi":"10.1109/td43745.2022.9816994","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816994","url":null,"abstract":"A number of risks exist on the current power system. These risks range from property damage to loss of life. The causes of these risks range from mis-operating equipment within a house to failing electrical equipment on the power transmission and distribution system itself. The utility delivery system is the primary focus of this paper. Certain technologies are available to sense and/or reduce grid component failures, but these systems are often expensive and usually provide limited visibility of assets on the system. The data monitoring and analytics system described within this paper addresses both of these failings of traditional grid monitoring and/or control systems.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115918751","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}
Z. Hosseini, A. Khodaei, M. Mahoor, S. Hossan, W. Fan, P. Pabst, E. Paaso
{"title":"Understanding the Impact of Data Anomalies on Conservation Voltage Reduction Measurement and Verification - A Practical Study","authors":"Z. Hosseini, A. Khodaei, M. Mahoor, S. Hossan, W. Fan, P. Pabst, E. Paaso","doi":"10.1109/td43745.2022.9816968","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816968","url":null,"abstract":"Conservation Voltage Reduction (CVR) and Volt-VAR Optimization (VVO) are becoming significant programs in grid modernization. These programs support electric utilities in reducing energy and peak demand at the distribution grid without requiring active customer participation. However, identifying their impact, which is carried out through various CVR measurement and verification (M&V) methodologies, depends heavily on the quality of the data collected from the field. This paper focuses on this critical problem for electric utilities and conducts a comprehensive study to identify the sensitivity of various M&V methodologies to common data anomaly issues, in particular, load shifts and outliers. Numerical simulations on three real-world feeders demonstrate that, regardless of the methodology employed, data anomalies cause divergence of the results from the results of using original data; however, this may be more apparent in some methods than the others.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124364544","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}
Manuel García, Brent Austgen, B. Pierre, J. Hasenbein, E. Kutanoglu
{"title":"Risk-Averse Investment Optimization for Power System Resilience to Winter Storms","authors":"Manuel García, Brent Austgen, B. Pierre, J. Hasenbein, E. Kutanoglu","doi":"10.1109/td43745.2022.9816875","DOIUrl":"https://doi.org/10.1109/td43745.2022.9816875","url":null,"abstract":"We propose a two-stage scenario-based stochastic optimization problem to determine investments that enhance power system resilience. The proposed optimization problem minimizes the Conditional Value at Risk (CVaR) of load loss to target low-probability high-impact events. We provide results in the context of generator winterization investments in Texas using winter storm scenarios generated from historical data collected from Winter Storm Uri. Results illustrate how the CVaR metric can be used to minimize the tail of the distribution of load loss and illustrate how risk-aversity impacts investment decisions.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114801634","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":"Small-signal Approximations of Frequency Estimation Algorithms","authors":"J. Wold, F. Wilches-Bernal","doi":"10.1109/td43745.2022.9817012","DOIUrl":"https://doi.org/10.1109/td43745.2022.9817012","url":null,"abstract":"Estimates of power system frequency are beginning to be used in critical, real-time applications such as synthetic inertia. The behavior of the algorithms used to estimate frequency from point-on-wave signals can be complicated, and algorithm tuning difficult for non-experts. In this paper, small-signal approximations for four common frequency estimation algorithms are presented. These approximations are demonstrated to be both theoretically and empirically sound. They are valuable for three primary reasons: 1) they reduce the level of technical expertise required for effective tuning; 2) they effectively capture the dynamics of the algorithm so can be used as a proxy for the algorithm itself in the analysis of feedback control loops that employ frequency feedback; and 3) they can easily be implemented in transient stability simulation software in order to represent realistic frequency estimation.","PeriodicalId":241987,"journal":{"name":"2022 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124182407","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}