{"title":"Deployment of battery energy storage system for energy arbitrage applications","authors":"Aoxia Chen, P. Sen","doi":"10.1109/NAPS.2016.7747920","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747920","url":null,"abstract":"Modern electric power system is gradually evolving and is expected to be more reliable and efficient with two-way flow of information and electricity between demand and supply. Energy storage system (ESS) is one of the most promising ideas to achieve this concept. It can provide a variety of applications from generation and transmission system to distribution and end-user side. This paper focuses on solving an independent optimization problem, maximizing energy arbitrage revenue. An investor company installs a BESS of specific ratings (defined by the MW and maximum hour of operation) and economic evaluation are performed, including leverage investment analysis and net present value calculation.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116424266","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}
D. C. Ramirez, G. Gutiérrez-Alcaraz, A. Esparza-Gurrola, J. Segundo-Ramírez
{"title":"Implementation of nonrecursive algorithm in RTDS for phasor estimation","authors":"D. C. Ramirez, G. Gutiérrez-Alcaraz, A. Esparza-Gurrola, J. Segundo-Ramírez","doi":"10.1109/NAPS.2016.7748001","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7748001","url":null,"abstract":"Phasor measurement units (PMUs) synchronize the measurements of current and voltage phasors in real time. This paper introduces a PMU simulation model for phasor estimation which uses a nonrecursive Discrete Fourier Transform (DFT) algorithm with linear interpolation. The algorithm was implemented and tested in the Real-Time Digital Simulator (RTDS). The algorithm is evaluated using the test signals in the standard set IEEEC37.118.1. The results are within the standards established for variations in the voltage amplitude, but frequency variation errors increase as frequency increases, since the DFT is designed to operate only at a fixed frequency.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117111518","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}
Jorge A. Velez Vasquez, A. R. Ramapuram Matavalam, V. Ajjarapu
{"title":"Fast calculation of Thévenin equivalents for real-time steady state voltage stability estimation","authors":"Jorge A. Velez Vasquez, A. R. Ramapuram Matavalam, V. Ajjarapu","doi":"10.1109/NAPS.2016.7747849","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747849","url":null,"abstract":"This paper aims to present a novel approach to quickly update Thévenin equivalents of multinodal systems, which can be used to calculate long-term Voltage Stability Margins (VSMs) for real-time applications considering n-k contingencies in the grid. To accomplish this, a derivation of the Thévenin equivalent parameters of a multiport system based on the impedance matrix (Zbus) is proposed. A new methodology to quickly update the Zbus of the system when n - k contingencies occur is explained using the matrix inversion lemma (MIL) and Kron reductions. The speed of this approach is due to the avoidance of inversion of matrices that is required when Thévenin equivalents are calculated using information of the admittance matrix of the network (Y bus). Instead of this, only matrix multiplications between Zbus element and other vectors are necessary to obtain Thévenin equivalents. This approach proposes a solution for some of the current issues associated with the implementation of long-term VSMs in real-time systems.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117226257","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":"Open circuit fault detection and localization in modular multilevel converter","authors":"M. Sen, Muhannad Alaraj, Jae-Do Park","doi":"10.1109/NAPS.2016.7747967","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747967","url":null,"abstract":"Modular multilevel converters (MMCs) have become attractive since being proposed for high voltage/power applications with their properties such as scalability, efficiency, redundancy and high quality output voltage and current. MMCs are comprised of many submodules which are typically made of insulated gate bipolar transistors (IGBTs) and diodes in the form of half-bridge cell and failure of these switches can be a major system operation and reliability issue. In this study, detection and localization of the submodule IGBT's open-circuit fault is investigated using a 5-level MMC model. Phase shifted pulse width modulation, circulating current suppression controller and voltage sorting-balancing algorithm are applied to get proper results in open loop condition. The proposed method is validated using Matlab/Simulink computer simulations.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115730221","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 robust unit commitment model under correlated temperatures and demands","authors":"Anna Danandeh, Wen Wang, Bo Zeng, B. Buckley","doi":"10.1109/NAPS.2016.7747863","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747863","url":null,"abstract":"Robust Unit Commitment (UC) model has been intensively investigated as an effective approach to hedge against randomness and risks. All existing robust UC formulations consider uncertainties in demand and/or cost. We observe that, nevertheless, a power system could be seriously affected by surrounding temperature and there is a strong relationship among the efficiency of gas generators, demand and temperature. With that observation, we develop a robust optimization model considering correlated uncertainties in temperature and demand forecasting, and the impact of the former one on generating efficiency. Numerical experiments are conducted on a typical IEEE test system to analyse our formulation and the impact of uncertain temperature.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"240 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116253734","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. Benidris, Yuting Tian, Samer Sulaeman, J. Mitra
{"title":"Optimal location and size of distributed energy resources using sensitivity analysis-based approaches","authors":"M. Benidris, Yuting Tian, Samer Sulaeman, J. Mitra","doi":"10.1109/NAPS.2016.7747855","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747855","url":null,"abstract":"This paper introduces an analytical approach based on sensitivity analyses of various objective functions with respect to load constraints to determine optimum locations and sizes of distributed energy resources (DERs). This method is based on sequentially calculating Lagrange multipliers of the dual solution of an optimization problem for various load buses. Determining the best candidate locations based on the sensitivity analyses with the assumption that an active constraint would remain active for all source sizes could produce inaccurate results. The reason is that buses that are ranked as the best candidates based on Lagrange multipliers may not be valid for large DERs since Lagrange multipliers change with the change in the system loading. In this work, locations and sizes are jointly determined in a sequential manner based on the validity of the active constraints. The proposed method can be applied with any objective function; however, in this paper, minimum generation cost is used as an objective function in the optimization problem. The method is demonstrated on several test systems including the IEEE RTS, IEEE 14, 30, 57, 118 and 300 bus test systems and the results showed the effectiveness of the proposed method against the traditional sensitivity analysis methods. Also, the results of the proposed method are validated using genetic algorithm.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"24 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125988981","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. Alvidrez, S. Ranade, S. Brahma, S. Bukowski, Cesar A. Silva-Monroy, A. Ellis
{"title":"An analytical model of a single phase DQ-controlled inverter for power system short circuit calculations","authors":"J. Alvidrez, S. Ranade, S. Brahma, S. Bukowski, Cesar A. Silva-Monroy, A. Ellis","doi":"10.1109/NAPS.2016.7747977","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747977","url":null,"abstract":"The short-circuit contribution of Inverter interfaced systems is determined by the control architecture, generally limited to 110%-150% of rated current and is generally not sustained past a cycle or two. IEEE1574 compliant inverters with anti-islanding may trip without contributing to a fault. However, as technology moves towards ride-through for remote faults, the modeling of these inverters becomes important. Based on reasonable approximations of the controller response we derive a simple yet accurate analytical model for the fault contribution of a single phase dq-controlled inverter. The derived model is compatible with typical fault calculation programs.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126722598","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":"Enhancing wind power forecasting: A bootstrap resampling interpolated Markov model","authors":"S. Jafarzadeh, Jane Berk","doi":"10.1109/NAPS.2016.7747910","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747910","url":null,"abstract":"This paper presents an improved Markov forecasting for very short-term (1 hour) wind prediction in electrical power systems. The method utilizes the probability transition matrix, obtained for the Markov Model, to observe the trends of the data; this is used to forecast the power for an hour ahead in time. Next, improvement of the forecast is achieved using the method of weighted interpolation where weights are obtained using bootstrap resampling. Finally, the forecast is improved slightly using a hybrid of the two aforementioned approaches. Past wind farm power production data are used to develop the proposed model. Computer simulations using Northwestern weather recordings from the Bonneville Power Administration (BPA) website show good correlation between our predictions and the actual data.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124904607","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 wind turbine modeling on a renewable energy system","authors":"Hussein M. K. Al-Masri, M. Ehsani","doi":"10.1109/NAPS.2016.7747870","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747870","url":null,"abstract":"This paper investigates the influence of the wind turbine (WT) modeling on an on-grid wind energy system installed in Ibrahimyya, a city in Jordan. A closer look is taken at parameters affecting the output power for correctly modeling the system. This helps in monitoring the turbine performance, sizing of the wind farm and the entire system, which significantly affect the energy extracted per year (EEPY) from the wind turbines (WTs) and the entire system. The net present cost (NPC), grid operating cost (GOC), initial capital cost (ICC) and the cost of energy (COE) are affected. As the WT model changes from the linear to quadratic and on to the cubic model the system has progressively more percentage error in the estimation of the cost as well as EEPY, which cannot be neglected. In fact, the EEPY difference has to be supplied by the conventional generation of the utility grid, which is more expensive than wind energy. However, this is the result of imprecise sizing solutions, which result in error estimates for the project investment. So, an improved cubic model (ICM) is suggested to model the WT precisely by considering more parameters such as the air density. The WT model designed at sea level, shows error estimates in cost and EEPY compared with the ICM. This paper investigates the effects of elevation above sea level (a.s.l) and temperature to model the WT in addition to wind speed and WT power coefficient. Therefore, the simplified WT models will not deliver the EEPY that is theoretically possible. The more costly utility conventional fuel plants will have to replace this energy deficit. In other words, to solve a real-world problem, the real values for parameters affecting the WT model must be considered. This same procedure can be applied in any location worldwide.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121944295","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":"The security constrained unit commitment considering the interactive impact of price based demand response","authors":"BiWu Fang, Bo Wang, D. Gao, Haohuai Wang","doi":"10.1109/NAPS.2016.7747833","DOIUrl":"https://doi.org/10.1109/NAPS.2016.7747833","url":null,"abstract":"Since the demand response play a more and more important role in smart grid, a security constrained unit commitment model considering the interactive impacts of price based demand response is proposed. First, the price based demand response is integrated with the basic security constrained unit commitment (SCUC) model, then the interactive impacts are considered. In the user side, the comprehensive electricity satisfaction is considered and the power flow balance is considered in the system side, which forms a more safety model. The case study on the six bus system demonstrates that the interactive impacts constraints can guarantee the economic effectiveness of DR without affecting users' feeling, and simultaneously optimize the power flow distribution to decrease the risk of cascading failure.","PeriodicalId":249041,"journal":{"name":"2016 North American Power Symposium (NAPS)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122042382","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}