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Performance Evaluation of Multilevel DC-AC Converter To Interface EV Battery For V2H Application 用于V2H应用的多电平DC-AC变换器到接口EV电池的性能评价
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654685
Modabbir, M. R. Khalid, I. Khan, Nimra Idris Siddiqui, S. Hameed, M. S. Jamil Asghar
{"title":"Performance Evaluation of Multilevel DC-AC Converter To Interface EV Battery For V2H Application","authors":"Modabbir, M. R. Khalid, I. Khan, Nimra Idris Siddiqui, S. Hameed, M. S. Jamil Asghar","doi":"10.1109/NAPS52732.2021.9654685","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654685","url":null,"abstract":"This article presents a performance evaluation of a multilevel DC-AC converter to interface electric vehicle (EV) batteries for vehicle-to-home applications (V2H). In this work, two five-level boost type switched capacitor multilevel inverters (SCMLI) are studied, and their performance is evaluated and compared on two key factors mainly: total harmonic distortion (THD) and capacitor voltage ripples. Both the SCMLIs have a single voltage source which makes them more suitable for V2H applications. The first topology consists of nine active switches and one capacitor, while the other has eight active switches and two capacitors. Both the topologies are modeled in the MATLAB/Simulink environment, and the results show that the first topology has low voltage ripples while low THD is obtained by the second topology.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121814272","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}
引用次数: 1
Estimating Distribution of Cascaded Outages Using Observed Utility Data and Simulation Modeling 利用观测效用数据和仿真建模估计级联停电分布
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654745
Saikat Das, Zhifang Wang
{"title":"Estimating Distribution of Cascaded Outages Using Observed Utility Data and Simulation Modeling","authors":"Saikat Das, Zhifang Wang","doi":"10.1109/NAPS52732.2021.9654745","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654745","url":null,"abstract":"This paper estimated and analyzed the distribution of line outages during cascades in the power grid using both historical line outage data and simulation modeling. The complex interconnections of power system networks along with their ever-evolving unpredictable nature may sometimes interrupt the normal flow of electricity which may push the power grid to its critical limit resulting in cascading overload failures and blackouts. In this study, we have analyzed transmission network utility data to estimate the distribution of line outages during cascading processes. We also compared our empirical results with analytical results by simulating line outages during cascading processes in a synthetic 500 bus system incorporating a cascading failure simulation model with AC power flow.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116703634","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}
引用次数: 1
Dynamic Matching in Power Systems using Model Predictive Control 基于模型预测控制的电力系统动态匹配
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654765
M. Majidi, Deepan Muthirayan, M. Parvania, P. Khargonekar
{"title":"Dynamic Matching in Power Systems using Model Predictive Control","authors":"M. Majidi, Deepan Muthirayan, M. Parvania, P. Khargonekar","doi":"10.1109/NAPS52732.2021.9654765","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654765","url":null,"abstract":"Integration of distributed renewable energy sources (D- RES) has been introduced as a viable solution to offer cheap and clean energy to customers in decentralized power system. D- RES can offer local generation to flexible customers based on their servicing deadline and constraints, benefiting both D- RES owners and customers in terms of providing economic revenue and reducing the cost of supplied energy. In this context, this paper proposes a dynamic matching framework using model predictive control (MPC) to enable local energy sharing in power system operation. The proposed matching framework matches flexible customers with D- RES to maximize social welfare in the matching market, while meeting the customers' servicing constraints prior to their deadline. Simulations are conducted on a test power system using multiple matching algorithms across different load and generation scenarios and the results highlighted the efficiency of proposed framework in matching flexible customers with the appropriate supply sources to maximize social welfare in the matching market.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527323","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}
引用次数: 2
PV Hosting Capacity Assessment for Improved Planning of Low-Voltage Distribution Networks 改进低压配电网规划的光伏装机容量评估
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654614
Sina Ibne Ahmed, H. Salehfar, D. Selvaraj
{"title":"PV Hosting Capacity Assessment for Improved Planning of Low-Voltage Distribution Networks","authors":"Sina Ibne Ahmed, H. Salehfar, D. Selvaraj","doi":"10.1109/NAPS52732.2021.9654614","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654614","url":null,"abstract":"The electric grid is under growing pressure to integrate new distributed energy resources (DER) such as solar photovoltaics (PVs) reliably and cost-effectively. Hosting capacity analysis (HCA) is an effective planning tool to assess the capability of the distribution grid to accommodate PVs. HCA ensures reliability by alleviating operational boundary violations caused by high penetration of DER. This study has developed a rural substation feeder model and conducted an iterative PV hosting capacity analysis for various load conditions. Multiple hosting capacity constraints have been considered, and their impacts have been evaluated. In addition, PV capacity improvement techniques are discussed. The study's outcome demonstrates the application of dynamic inverter control settings to mitigate capacity restrictions.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123475148","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}
引用次数: 1
CIBECS: Consumer Input Based Electric Vehicle Charge Scheduling for a Residential Home CIBECS:基于消费者输入的住宅电动汽车充电计划
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654607
S. S. Shuvo, Yasin Yılmaz
{"title":"CIBECS: Consumer Input Based Electric Vehicle Charge Scheduling for a Residential Home","authors":"S. S. Shuvo, Yasin Yılmaz","doi":"10.1109/NAPS52732.2021.9654607","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654607","url":null,"abstract":"Electrical utility companies offer dynamic electricity pricing to limit peak demand of residential homes to provide charging for the fast-growing Electric Vehicle (EV) fleet. Charging EV at off-peak hours is economical for a user; however, scheduling brings the possibility of an undercharged EV at the time of use. The user has the best knowledge about his driving schedule, so including his input about target charge level and available charging time is an effective way to avoid such discomfort. To this end, this work proposes a Consumer Input Based Electric Vehicle Charge Scheduling (CIBECS) for a residential home. CIBECS takes consumer input, electricity price, and load forecasts to propose an adaptive scheduling technique. Moreover, we utilize an artificial neural network, particularly an LSTM network, to predict highly volatile residential loads. Experiments show our model's superior performance in minimizing electricity cost compared to existing approaches.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115217806","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}
引用次数: 5
Power System Electromechanical Mode Estimation using Lower-Order Recursive Subspace Method 基于低阶递推子空间法的电力系统机电模式估计
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654522
Dilip Pandit, Deepak Pandit, N. Nguyen, S. Elsaiah
{"title":"Power System Electromechanical Mode Estimation using Lower-Order Recursive Subspace Method","authors":"Dilip Pandit, Deepak Pandit, N. Nguyen, S. Elsaiah","doi":"10.1109/NAPS52732.2021.9654522","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654522","url":null,"abstract":"This paper presents an improved model for the oscillatory mode estimation of the power system using ambient data. The measured data-based recursive stochastic subspace method is integrated with the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) to facilitate mode estimation in parallel with a reduced model order of the recursive subspace method. The CEEMDAN is used to decompose the input synchrophasor into intrinsic mode functions (IMF) groups which serve as input vectors to the parallel engines for mode estimation. The resulting mode estimator has a lower model order which reduces the computation cost, a major drawback of the subspace methods. The modified small-order recursive stochastic subspace algorithm is validated to estimate the ambient modes using the simulated data from a reduced-order model of the Western Electricity Coordinating Council (WECC) system.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122658725","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}
引用次数: 2
Electricity Load Forecasting under COVID-19 COVID-19下的电力负荷预测
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654678
Fariha Kabir Torsha, Ying Lin, Lei Fan, Tae-Eog Lee
{"title":"Electricity Load Forecasting under COVID-19","authors":"Fariha Kabir Torsha, Ying Lin, Lei Fan, Tae-Eog Lee","doi":"10.1109/NAPS52732.2021.9654678","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654678","url":null,"abstract":"The outbreak of novel coronavirus disease in 2020 has profoundly impacted all aspects of lives and posed a unique challenge in energy load forecasting. With the increase of the COVID-19 cases, governments worldwide impose strict social distancing and limit the mobility of the population, which causes a shift in load consumption magnitude and pattern. In this paper, we first identify the most influential COVID-19 features for load reduction. Then, we propose a new load forecasting model that includes the new features. The case study on the New York City data set demonstrates that our new forecasting model can efficiently provide new load prediction in the pandemic period.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568291","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}
引用次数: 0
Customized Prices Design for Agent-based Local Energy Market with PV and Energy Storage 基于agent的光伏储能局部能源市场定制价格设计
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654680
Li He, J. Zhang
{"title":"Customized Prices Design for Agent-based Local Energy Market with PV and Energy Storage","authors":"Li He, J. Zhang","doi":"10.1109/NAPS52732.2021.9654680","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654680","url":null,"abstract":"Distributed energy resources, especially residential photovoltaics (PV), have been playing increasingly important roles in modern smart grids over past years. Residential netload is closely tied with customers' activities and weather, such as load consumption and solar generation, which could potentially be leveraged to improve demand response by designing customized price incentives. This paper seeks to design customized prices for a local energy market (LEM) that consists of agent, PV, energy storage (ES), prosumers, and consumers. The LEM agent who owns a community-scale ES system is responsible for operating the market and facilitating the energy sharing within the community. A hierarchical energy trading infrastructure is considered, where the agent acts as the mediator between the utility grid and customers. A two-stage decision-making framework, including look-ahead ES scheduling and real-time customized prices design, is developed for agent's profit maximization. The customer's consumption behavior is modeled as a utility maximization problem. Numerical results of case studies with 10 residential customers show the effectiveness of the customized prices design.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129299224","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}
引用次数: 2
A Machine Learning-Enabled Clustering Approach for Large-scale Classification of Solar Data 基于机器学习的太阳数据大规模分类聚类方法
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654549
Ebuka B Osunwoke, S. Ullah, Ali Jafarian Abianeh, F. Ferdowsi, T. Chambers
{"title":"A Machine Learning-Enabled Clustering Approach for Large-scale Classification of Solar Data","authors":"Ebuka B Osunwoke, S. Ullah, Ali Jafarian Abianeh, F. Ferdowsi, T. Chambers","doi":"10.1109/NAPS52732.2021.9654549","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654549","url":null,"abstract":"Solar power generation is one of the renewable energy sources that has gained prominence in recent times. Power generation companies and researchers are interested in the behavior of solar facilities with respect to daily weather fluctuations over time. Researchers have often tried to cluster solar spatio-temporal data. Some of the proposed methods contain unnecessary ambiguity with no clear justifications of the applicability of their models. This study aims to provide an accurate cluster-based representation of solar Photovoltaic (PV) production profiles, using the solar data from the University of Louisiana at Lafayette's 1.1 Megawatt(MW) Photovoltaic Applied Research and Testing Lab (PART lab) over a two-year interval. The availability of these clusters provides an easier basis for testing and modelling the behavior and response of an existing solar plant in the event of an upgrade, or incorporation into a power generating facility and solar forecasting. In this study,a machine learning approach is used to generate a clustering algorithm, employing three different existing accuracy metrics. A efficient Dynamic Time-Warping (DTW) k-Means model was developed to cluster the PV data with reasonable accuracy. The novelty of this study provides an efficient temporal-adaptive multi-model approach of clustering solar PV data. These clusters can reduce the computational expense of solar-connected microgrid modelling and simulation studies at the design and operational stages.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123928041","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}
引用次数: 4
Design and Implementation of Protective Relays Benches 继电保护工作台的设计与实现
2021 North American Power Symposium (NAPS) Pub Date : 2021-11-14 DOI: 10.1109/NAPS52732.2021.9654558
Khalid Daud Khattak, M. Choudhry, A. Feliachi
{"title":"Design and Implementation of Protective Relays Benches","authors":"Khalid Daud Khattak, M. Choudhry, A. Feliachi","doi":"10.1109/NAPS52732.2021.9654558","DOIUrl":"https://doi.org/10.1109/NAPS52732.2021.9654558","url":null,"abstract":"Inverse Time Overcurrent, Differential and Directional Overcurrent relays are some of the types of protective devices used for the protection of electrical power systems. Undergraduate students, studying protection of power system courses, can benefit greatly if given the opportunity to work with these relays in their labs. To provide a small setup for demonstrating the working of overcurrent, differential, and directional overcurrent relays, two test benches have been designed and implemented. The first bench consists of electromechanical inverse time overcurrent relays and microprocessor-based feeder protection relays. The second bench consists of two independent circuits to demonstrate the working of differential and directional overcurrent protection devices. The first circuit in this bench is implemented to show the operation of a microprocessor based differential protection relay. The second circuit is intended to show the working of electromechanical and microprocessor based directional overcurrent protection relays.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173632","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}
引用次数: 1
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