Seyed Hamidreza Shamsdin, A. Seifi, M. Rostami-Shahrbabaki, Babak Rahrovi
{"title":"Plug-in Electric Vehicle Optimization and Management Charging in a Smart Parking Lot","authors":"Seyed Hamidreza Shamsdin, A. Seifi, M. Rostami-Shahrbabaki, Babak Rahrovi","doi":"10.1109/TPEC.2019.8662169","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662169","url":null,"abstract":"A promising real-time methodology to manage charging schedule of plug-in electric vehicles (PEVs) is proposed in this paper. The proposed method is based on satisfaction assignment and prioritized PEVs using four different charging strategies. A random charging strategy that gives no priority is compared with approaches that assign priority to vehicles departure time and vehicles state of charges. Further, the PEVs are optimally charged to maximize their state of charge and the owners’ satisfaction, in terms of the delivered energy in shortest time, without violating system operational constraints. The simulation on a typical smart parking lot is carried out, which compares the outcomes of four charging policies and demonstrate the effectiveness of the proposed optimized methodology.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124053233","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}
Brandon Allison, Diana Wallison, T. Overbye, J. Weber
{"title":"Voltage Droop Controls in Power Flow Simulation","authors":"Brandon Allison, Diana Wallison, T. Overbye, J. Weber","doi":"10.1109/TPEC.2019.8662197","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662197","url":null,"abstract":"Steady state power flow simulation software is widely used across industry and academia for reliable system operation. Voltage regulation implementation in software typically makes use of PQ and PV buses separately resulting in an infinite slope QV curve, while units in industry typically have dead-bands and real sloped responses. In this work, a new technique for modeling power flow generator voltage control is implemented to more accurately model the real-world generator responses. The new technique has been compared with typical power flow control methods using a three-bus case study that portrays the differences in the two response types. The results obtained show that the new technique is more effective at modeling dead-bands and real sloped responses that exist in industry.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127343105","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}
Arkasama Bandyopadhyay, Julia P. Conger, M. Webber
{"title":"Energetic Potential for Demand Response in Detached Single Family Homes in Austin, TX","authors":"Arkasama Bandyopadhyay, Julia P. Conger, M. Webber","doi":"10.1109/TPEC.2019.8662166","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662166","url":null,"abstract":"This study builds a generalized tool to quantify the maximum peak load reduction achievable with residential demand response and distributed energy resources (DERs). The tool is demonstrated by using empirical energy usage data from detached single family households within the service territory of Austin Energy - the local municipal utility in Austin, TX. The demand response optimization algorithm shifts energy usage of four controllable, high-consumption residential devices to off-peak hours: HVAC (heating, ventilation, and air conditioning) systems, electric water heaters, electric vehicles, and pool pumps.In addition, rooftop solar generation on individual residences is considered to reduce net load to the utility, and an energy storage system optimization model performing energy arbitrage further reduces peak demand. Results from the aggregate demand response and battery optimization study indicate that peak demand for the 2017 summer peak in Austin Energy could have been reduced by 26 MW or 2.9%. By considering the combined effect of controllable consumer loads, solar generation, and energy storage systems, this study highlights the potential of strategic demand response and energy arbitrage to reduce peak demand at the distribution level.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131626890","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":"Self Regulation of Electrical Power Systems","authors":"B. Porretta, S. Porretta","doi":"10.1109/TPEC.2019.8662178","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662178","url":null,"abstract":"For approximately the first five to fifteen seconds, the system frequency following a generation loss is determined by Inertia, Self Regulation, and Governor Response. The results of analysis of significant frequency events indicates that the analytic duplication of the frequency curves recorded for these events would not be possible unless the system is attributed values of Self Regulation that are significantly higher than those attributed to it by current literature. This raises the question as to where the higher values of Self Regulation derive from. After establishing that a negative Self Regulation is very important to the ability of the system to recover from generation loss disturbances and that the reliable operation of a system would be very difficult with a zero or positive Self Regulation, it is shown that another source of Self Regulation is the output power versus frequency characteristics of steam and water turbines. It is noted that the method used in this paper to calculate system Inertia, Self Regulation, and Governor Response appears to be the first one reported in the literature that extracts these parameters directly from system measurements of frequency.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"47 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133011502","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}
Shahabodin Afrasiabi, M. Afrasiabi, Mohammad Rastegar, M. Mohammadi, Benyamin Parang, F. Ferdowsi
{"title":"Ensemble Kalman Filter based Dynamic State Estimation of PMSG-based Wind Turbine","authors":"Shahabodin Afrasiabi, M. Afrasiabi, Mohammad Rastegar, M. Mohammadi, Benyamin Parang, F. Ferdowsi","doi":"10.1109/TPEC.2019.8662174","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662174","url":null,"abstract":"Permanent magnet synchronous generators (PMSGs) are commonly used in wind power generation because of less maintenance cost and flexible speed control. Dynamic state estimation is beneficial in wide area monitoring and control (WAMAC). Because, it enables the access to non-measurable variables. This paper proposes a nonlinear dynamic state estimation based on ensemble Kalman filter (EnKF) for PMSG-based wind turbines. The results of the proposed method are evaluated by comparing with extended Kalman filter (EKF) and unscented Kalman filter (UKF).","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117157991","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}
N. Pragallapati, S. Ranade, Jacob A. Mueller, S. Atcitty
{"title":"Distributed TABC based Bi-Directional Converter for Cell/Sub-Modular Level Battery Energy Storage System","authors":"N. Pragallapati, S. Ranade, Jacob A. Mueller, S. Atcitty","doi":"10.1109/TPEC.2019.8662141","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662141","url":null,"abstract":"In this paper, Triple Active Bridge Converter (TABC) based Cell Level/Sub-Modular level power processing Battery Energy Storage System (BESS) is proposed to provide better efficiency, reliability and safety benefits. One TABC is connected to the two cells/two sub-modules of the battery pack, and all outputs of the TABC’s are connected in series or parallel to achieve the required voltage or current. The main features of the proposed configuration are: to avoid the unnecessary charging/discharging phenomena, providing the isolation, and to improve the optimal power flow of each cell of the battery. Also, secondary voltage compensation and droop based decentralized control scheme is proposed to improve the power-sharing of each TABC and voltage regulation at the battery output under the effect of cable resistance considered. The proposed configuration and control strategy is validated under different loading conditions by MATLAB®, SIMULINK®.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116048379","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":"Detection of Impending Ramp for Improved Wind Farm Power Forecasting","authors":"Jie Zhao, Xiaomei Chen, Miao He","doi":"10.1109/TPEC.2019.8662203","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662203","url":null,"abstract":"Detection of impending front-induced ramp events is studied as a new class of change detection problem - change detection for multiple time series with spatial dependency. A critical step to ramp event detection is to capture the spatial dependency between neighbor turbines’ power output. To this end, a graphical model is utilized to model the dependency of turbine-level ramp events. Then, change point detection is carried out for the time series of individual turbines’ power output, by using the belief from neighbor turbines in the dependency graph. Once an impending ramp is detected, the magnitude of ramp is then forecasted by using current measurement data. A key observation is that due to the movement of front, the best predictors for individual turbines’ power output vary across three different regions of the wind farm. With this insight, different predictive models are adopted for forecasting power output from each region. Through numerical experiments, the proposed detection-based wind power forecasting method is proven to outperform conventional methods for wind power ramps.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124800214","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":"Modeling Study of the Series Arrangement of Thermomagnetic Generator","authors":"A. Homadi, T. Hall, J. Post","doi":"10.1109/TPEC.2019.8662125","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662125","url":null,"abstract":"In this paper, we study the performance of a new thermomagnetic generator (TMEG) and present the results using COMSOL Multiphysics. The TMEG works by utilizing a magnetic field that varies based upon change in temperature. Specifically, the function of the system focuses on the changing magnetic susceptibility of materials with respect to temperature. A ferromagnetic material (FM) is the moving part in this system, where it moves in opposite direction under the influence of a permanent magnet and a spring between two unequal temperatures zones. Two ferromagnetic materials having different magnetic and thermal properties were chosen based on temperatures of two separate zones. The first serves as a heat conveyer from the heat source to a central area while the second zone transfers the stored heat to the heat sink. The central area is a non-magnetic material that is considered to be as a heat sink for the first but as a heat source for the second. This system is able to transfer the heat far away from the source through a series of TMEG units. Theoretical results are presented using COMSOL Multiphysics 5.2a. This system can be used as a co-generation energy device, but it must have a temperature excess of 400 C at the hot side.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124123682","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}
I. A. Oyewumi, Hari Challa, Ananth A. Jillepalli, Philip Richardson, Y. Chakhchoukh, B. Johnson, D. Conte de Leon, Frederick T. Sheldon, M. Haney
{"title":"Attack Scenario-based Validation of the Idaho CPS Smart Grid Cybersecurity Testbed (ISAAC)","authors":"I. A. Oyewumi, Hari Challa, Ananth A. Jillepalli, Philip Richardson, Y. Chakhchoukh, B. Johnson, D. Conte de Leon, Frederick T. Sheldon, M. Haney","doi":"10.1109/TPEC.2019.8662168","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662168","url":null,"abstract":"The use of smart and distributed devices is increasing in Cyber Physical Systems (CPS). The smart and distributed devices are capable of extensive inter- and intra- networking. Consequently, cyber attack attempts against CPS have been increasing in recent years. The potential for widespread loss of resources for utilities is high if a cyber-attack is executed successfully on a CPS. Realistic and comprehensive cyber-physical testbeds are becoming increasingly necessary to analyze and secure CPS organizations. One such comprehensive and realistic testbed, ISAAC - the Idaho CPS Smart Grid Cybersecurity Testbed, was previously presented. Validating testbeds with realistic experiments is of paramount importance in increasing the usability of a testbed. We present a mapping of ISAAC to the Purdue reference model. We also validate ISAAC by performing a realistic attack-scenario on the testbed. Our results indicate that ISAAC can simulate realistic scenarios.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124324793","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}
Ashly L. Bornsheuer, Brandon Allison, Keegan Flaherty, T. Overbye, K. Davis
{"title":"Large-Scale Synthetic Grids in Classroom Planning Studies","authors":"Ashly L. Bornsheuer, Brandon Allison, Keegan Flaherty, T. Overbye, K. Davis","doi":"10.1109/TPEC.2019.8662127","DOIUrl":"https://doi.org/10.1109/TPEC.2019.8662127","url":null,"abstract":"A senior capstone transmission expansion planning project is presented for a large-scale synthetic grid. Parameters such as generation, load, and contingencies are incorporated in the case to create summer peak load cases over a period of seven years. The methodologies to create the load case, containing the seven year load growth projection, and the solution case, containing the proposed upgrades for each year, are presented.","PeriodicalId":424038,"journal":{"name":"2019 IEEE Texas Power and Energy Conference (TPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126254845","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}