Yousef Zahid, Muhammad Amir, S. Khan, Carlos Alfaro
{"title":"Dual-Switch Quadratic Zeta Converter","authors":"Yousef Zahid, Muhammad Amir, S. Khan, Carlos Alfaro","doi":"10.1109/TPEC54980.2022.9750713","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750713","url":null,"abstract":"A novel dual switch quadratic Zeta architecture with a broad conversion ratio and non-inverting output voltage features is presented in this paper. It has broader bucking characteristics in comparison to the Zeta converter and provides a continuous source current. The theoretical circuit analysis and subsequent simulation will verify the features. The transfer function is realized via state-space modeling, and pole-zero plots are compared with the traditional Zeta converter topology to elaborate on its stability. PI controller is designed to reduce the settling time of the converter.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128798515","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":"Techniques for Creating Synthetic Combined Electric and Natural Gas Transmission Grids","authors":"Yousef A. Abu-Khalifa, A. Birchfield","doi":"10.1109/TPEC54980.2022.9750785","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750785","url":null,"abstract":"This paper presents a methodology for the creation of a synthetic combined electric and natural gas transmission network, along with representative benchmark results. The systems do not contain actual, confidential network data, but are synthetic, meaning they are built to capture the behavior of a combined network that is geographically constrained. First, natural gas loads are placed in a selected area. Work already done in building synthetic electric grids aids in this process, where the natural gas-powered generators are modeled as loads in the natural gas system. Publicly available data is then used to place the remaining gas loads and the gathering plant. Next, a method is introduced to construct a pipeline network connecting the loads and gathering plant, which acts as the source. The combined electric-gas system is then solved for the nodal pressures, pipeline flow rates, and electric state variables. A 47-node gas test case with 23 loads and 46 pipelines is built and solved in combination with a 173-bus electric system, designed to aid with developing and validating analysis techniques for combined electric-gas systems.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121936781","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}
Mahdi Mahzouni Sani, Paresh Risbud, Amrusha V. Aryasomyajula, Nikolaos Gatsis
{"title":"Effects of Pseudo-Measurements on GPS Spoofed Power System State Estimation","authors":"Mahdi Mahzouni Sani, Paresh Risbud, Amrusha V. Aryasomyajula, Nikolaos Gatsis","doi":"10.1109/TPEC54980.2022.9750738","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750738","url":null,"abstract":"Increased visibility of the power grid has been the motivating force for deployment of advanced sensing technologies such as phasor measurement units (PMUs). PMUs are equipped with GPS receivers for time synchronization of the voltage and current measurements. GPS receivers are susceptible to spoofing attacks, which alter the PMU timing information. This work develops an algorithm for power system state estimation and attack angle reconstruction with GPS spoofed PMU measurements aided by pseudo-measurements. Numerical tests performed on the standard IEEE test networks indicate improvement in the state estimation accuracy.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130902919","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":"Non-intrusive Load Monitoring in MVDC Shipboard Power Systems using Wavelet-Convolutional Neural Networks","authors":"Soroush Senemmar, J. Zhang","doi":"10.1109/TPEC54980.2022.9750745","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750745","url":null,"abstract":"This paper develops a non-intrusive load monitoring (NILM) method in future shipboard power systems (SPS) using discrete wavelet transform-based convolutional neural networks (CNN). We have applied the proposed NILM method to a two-zone medium voltage direct current (MVDC) SPS, with multiple appliances in each zone such as pulsed load, radar load, motor load, and hotel load. The input to the proposed NILM model only includes the current signal of generators, which will be first processed by a discrete wavelet transform, to form a coefficient matrix that represents the status of all the appliances in each zone. Then, a CNN model is adopted to monitor the load in real time by solving a multi-class classification problem. Results show that the proposed wavelet-based CNN model for NILM could: (i) determine the status of all appliances with an overall accuracy of more than 97%, and (ii) monitor specific pulsed loads with an accuracy of more than 98%.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132571274","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}
Michael Gooris, S. Peres, Omar Hernandez, F. A. Fru, Ikponmwosa Idehen, Zeyu Mao, Wonyeok Jang, T. Overbye
{"title":"The Use of Eye Tracking as a Measure of Situation Awareness in Power System Control Rooms","authors":"Michael Gooris, S. Peres, Omar Hernandez, F. A. Fru, Ikponmwosa Idehen, Zeyu Mao, Wonyeok Jang, T. Overbye","doi":"10.1109/TPEC54980.2022.9750717","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750717","url":null,"abstract":"Power systems control rooms are fast-paced, dynamic environments that require operators to maintain awareness of numerous pieces of information. A construct that has been previously used to examine operator ability to process and retain information is situation awareness. It is the process by which information is perceived, comprehended, and then used to project events that may likely occur. It is often measured using observational or self-report methods. In recent times, however, researchers have started using physiological measures such as eye tracking to measure situation awareness. In this paper, we report a pilot study exploring the use of eye tracking metrics to evaluate situation awareness in the operation of a test power system within the confines of a typical control room. Eye tracking results are compared to the results of a Cognitive Task Analysis (CTA), with elaboration of their implications.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123912477","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 Feasibility Assessment of Ship-to-Grid Interconnection by DC-Link","authors":"Sobhan Badakhshan, Soroush Senemmar, J. Zhang","doi":"10.1109/TPEC54980.2022.9750767","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750767","url":null,"abstract":"The concept of ship-to-grid has been explored in recent years, which allows electric ships to supply a part of power demand in the terrestrial electric grid during normal operations or extreme conditions under disruptive events. While this could potentially enhance the resiliency of the power grid during extreme events, interconnected ship-to-grid may pose certain threats to the special equipment on the shipboard power system. To better evaluate the dynamic feasibility of ship-to-grid interconnection, this paper investigates the use of a DC-link for safely integrating a medium voltage AC (MVAC) ship to the grid. To evaluate the effectiveness of the DC-link for ship-to-grid connection, different disturbances are simulated in the shoreline grid, and their impacts on the shipboard power system are analyzed. The proposed strategy has been verified by a case study on a 4-zone shipboard power system and various shoreline grids with different characteristics. The dynamic simulations are conducted with the PSS@E and PSS@NETOMAC software.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124283863","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}
Venkata Siva Prasad Machina, Koduru Sriranga Suprabhath, S. Madichetty
{"title":"Fault Detection in Solar Photovoltaic Systems During Winter Season- A Deep Learning Approach","authors":"Venkata Siva Prasad Machina, Koduru Sriranga Suprabhath, S. Madichetty","doi":"10.1109/TPEC54980.2022.9750828","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750828","url":null,"abstract":"In recent times, the scenario of power systems is undergoing a rapid change. The evolution of microgrids has created a great scope for integrating renewable power generation into the grid, which ultimately achieves the goal for clean energy. DC microgrid (DCMG) is a preferable power system setup, as most of the daily appliances used in our households work on direct current (DC). Solar photovoltaic (SPV) systems contribute the most to DC power generating systems. The operation of SPV systems is better understood by analyzing the current-voltage (I-V) characteristics. Current and voltage values obtained from the solar panel are highly variable and depend on the weather conditions. The electric faults in the SPV systems will reduce the efficiency. During the summer season, normal sunny day and normal cloudy day are classified correctly. In winter season during some aberrant weather conditions for solar power generation like wind, snowy and cloudy, the current values are classified as faulty operation. This misclassification is avoided using machine learning (ML) and deep learning (DL) algorithms. Dataset includes electrical faults and normal operations; the ML and DL models are trained on this dataset with different activation functions and optimizers. Evaluation metric accuracy is calculated. Python3.8.6 has been used as a programming language to detect faults.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122440746","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":"Improving Topology Error Detection with Distribution System State Estimation","authors":"Ken Crawford, M. Baran","doi":"10.1109/TPEC54980.2022.9750804","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750804","url":null,"abstract":"For real-time monitoring of distribution systems, distribution system state estimation (DSSE) methods have been developed. For accurate DSSE results, an accurate system model is needed. However, topology of a distribution network changes due to various reasons and some changes may not be monitored or known to the control center. This leads to an incorrect model used for the DSSE and thus causes incorrect estimation results. The contributions of this paper include an investigation on the capability of DSSE for bad data detection (BDD) in the presence of most common topology errors in practice, including capacitor bank failure and load balancing. Additionally, common measurement schemes are investigated to determine how a measurement scheme can be improved in order to improve topology error detection. Test results using a sample IEEE distribution feeder has been provided to illustrate the challenges associated with topology error detection using DSSE.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125120594","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":"A Large-Scale Test System for Transmission Expansion Planning with AC Networks Model","authors":"M. Mehrtash, B. Hobbs, Yankai Cao","doi":"10.1109/TPEC54980.2022.9750848","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750848","url":null,"abstract":"It is more realistic and consistent with the electrical energy flow laws to model transmission expansion planning problems with an AC network representation (ACTEP). In this paper, we propose a new large-scale test system for ACTEP studies. The proposed 1354-bus ACTEP system is based on Case1354pegase available in MATPOWER. The system is modified to be useful for ACTEP studies, and the candidate lines and candidate generating units are added to the system based on their role in improving the operation of the system. Global-TEP (a specific-purpose global solver for the ACTEP problem) is used to find the ACTEP global solution with a guaranteed optimality gap. Several numerical tests are run to illustrate the advantages of the proposed test system. In contrast, previous test systems are much smaller and do not have reported global optima with guaranteed gaps. The proposed test system and its numerical results can be used as a benchmark for future ACTEP studies.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121067590","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":"Analysis of Filter Design Approaches for Extraction of Instantaneous Symmetrical Components","authors":"C. Anirudh, V. S. Kumar","doi":"10.1109/TPEC54980.2022.9750824","DOIUrl":"https://doi.org/10.1109/TPEC54980.2022.9750824","url":null,"abstract":"Extraction of instantaneous symmetrical components plays a vital role in the operation of grid-connected converters. Conventionally, extraction of instantaneous symmetrical components is achieved by transforming the signal into a rotating reference frame and passing it through a digital filter. This work focuses on the design and performance of various digital filters adopted for the extraction of instantaneous symmetrical components. The design considerations and associated trade-offs involved in the design of digital filters are first outlined. Subsequently, the design procedure involved in commonly adopted filtering strategies is reviewed and their performance under various operating conditions is studied. In addition, this work also analyzes the impact of filter design on closed-loop applications such as phase locked loops.","PeriodicalId":185211,"journal":{"name":"2022 IEEE Texas Power and Energy Conference (TPEC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127230174","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}