X. Fang, Jin Tan, Haoyu Yuan, Shengfei Yin, Jianhui Wang
{"title":"Providing Ancillary Services with Photovoltaic Generation in Multi- Timescale Grid Operation","authors":"X. Fang, Jin Tan, Haoyu Yuan, Shengfei Yin, Jianhui Wang","doi":"10.1109/NAPS50074.2021.9449700","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449700","url":null,"abstract":"With penetration levels of photovoltaic (PV) generation substantially increasing, electric power systems need more flexible resources that can provide ancillary services to mitigate the variability and uncertainty of the PV. On one hand, the increase in PV generation necessitates more flexible resources; on the other hand, because of its low operation cost, PV generation has been replacing conventional generation, which is currently the main flexible resource. Consequently, there is a trend to require renewable generation, including PV, to provide flexible ancillary services. This paper proposes a multi-timescale grid operation model considering the various control strategies of PV providing different ancillary services. Numerical case studies demonstrate that with PV providing both regulation reserve and primary frequency reserve, the system operating costs and PV curtailment will be reduced significantly. Results show that not only the system reliability can be improved but also PV profitability with PV providing more ancillary services.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129284628","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":"Proactive Generation Redispatch to Enhance Power System Operation Resilience during Hurricanes","authors":"Michael Abdelmalak, M. Benidris","doi":"10.1109/NAPS50074.2021.9449715","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449715","url":null,"abstract":"This paper proposes a proactive generation redispatch strategy to enhance the operational resilience of power grids during hurricanes. Enhancing the overall operation resilience is a mathematically involved problem accompanied with many challenges related to modeling and computation methods. Most previous resilience enhancement methods focus on reducing the amount of load curtailment during extreme events without proactively preparing the system for forecasted extreme events or considering the consequences after the occurrence of an event. Also, system operational cost is usually neglected resulting in higher costs for operational resilience enhancement strategies. In this paper, a multiobjective mixed integer linear programming optimization problem is formulated for generation redispatch to minimize load curtailments and operational costs for a one-day interval when a power system is subjected to a hurricane. System constraints (e.g., ramping rates, minimum up/down times, and transmission line constraints) and spatiotemporal properties of extreme events are considered in the optimization problem. The CPLEX solver is integrated with MATLAB to formulate and solve the optimization problem. Although the proposed method can be adapted to enhance power system resilience against different types of extreme events, the focus of this work is on improving the operational resilience of power grids against hurricanes. The IEEE 30-bus system is used to validate the proposed strategy under two levels of severity: low and extreme impacts. The results demonstrate the effectiveness of the proposed method in improving power grid operational resilience during the development of hurricanes.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132422352","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 Reliability-based Optimization Model for Lightning Protection System Design of Distribution Networks","authors":"Li Zhang, Zhirui Zhang, A. Bretas, V. Rakov","doi":"10.1109/NAPS50074.2021.9449756","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449756","url":null,"abstract":"Lightning is the main cause of faults in distribution networks, which imposes a serious impact on system reliability. The existing research is mainly aimed at a specific lightning protection method, but lack of combined research on different lightning protection methods. This paper presents an optimization model for lightning protection design based on the reliability index of distribution networks while leveraging costs. The model is mixed-integer linear programming (MILP), which can set different lightning protection methods in different feeders. Case study considers a real distribution network and applies the presented model. The simulation results render the efficiency of the presented optimization model.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912729","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 Parameter Estimation Based on Rank-Reduced Prony Analysis","authors":"Anas Almunif, Lingling Fan","doi":"10.1109/NAPS50074.2021.9449703","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449703","url":null,"abstract":"This paper presents a new least squares estimation (LSE)-based dynamic parameter estimation technique using phasor measurement unit (PMU) data. Generator parameters such as inertia constant, damping coefficients, and regulation speed constant are estimated from captured measurements during transient events. The key idea of this dynamic parameter estimation is based on unknown model structure and reduced-order model. This approach depends on measurement-based methods for ringdown signals. A rank-reduced Prony analysis is employed to accurately identify the system eigenvalues with reduced-order model. Then an optimization problem is formulated to obtain the system matrix and estimate the dynamic parameters. Sensitivity analysis is performed to the optimization problem to find the best parameter estimates.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"517 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133366138","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}
Prithwiraj Roy Chowdhury, Ehab Soubaki, M. Manjrekar
{"title":"Comparison of Power Control Methods for Renewable Energy Resources Operating in a Weak Grid","authors":"Prithwiraj Roy Chowdhury, Ehab Soubaki, M. Manjrekar","doi":"10.1109/NAPS50074.2021.9449827","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449827","url":null,"abstract":"A Renewable Energy Resource (RER) based power grid should be capable to deliver active power $(boldsymbol{P}_{{GRID}})$ and reactive power $(boldsymbol{Q}_{{GRID}})$ to fulfill the customer load demand and maintain stability during a weak grid condition. A Voltage Source Inverter (VSI) can provide the demand $boldsymbol{P}_{{GRID}}$ and $boldsymbol{Q}_{{GRID}}$ to the grid to maintain a stable power system. Traditionally adopted PI control-based Indirect Power Control (IPC) scheme controls VSI to inject required grid power but as the control is nonlinear, the time to reach the steady-state is longer than the desired. In this paper, we have discussed and compared Direct Power Control (DPC) and the inverter Flux Power Control (FPC) approach with the IPC approach to control the transients caused by the varying RERs and load throughout the day. Besides, due to the transmission line parameters and operations of power, current oscillations are common in a weak grid. In this comparative study, the concept for improving transient response is validated by MATLAB/Simulink for a 100KW 100KVAR grid-tied VSI system. Finally, the comparative performances of the controllers for a weak grid have been discussed.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131542163","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":"Identifying the Optimal Storage to Solar Panel Ratio for a Grid-Tied PV System","authors":"Justin R. Phelps, Qun Zhou","doi":"10.1109/NAPS50074.2021.9449742","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449742","url":null,"abstract":"The power grid is facing an unprecedented increase in penetration from solar energy resources. Solar panels are often installed together with battery storage systems to reduce the variability and uncertainty of the intermittent solar energy. In this paper, a methodology for finding the optimal ratio of storage for a given number of solar panels is presented. The methodology is based on an iterative approach that uses real weather data and load data to simulate the different system configurations. The configurations were found as a function of the desired level of system autonomy from the grid which would run for a user-defined amount of time without falling out of specifications due to component aging. Identifying the optimal ratio of storage per panel for a given autonomy requirement has a large impact on both the cost and the performance of the system.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130988657","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}
S. Pazouki, B. K C, Hassan A. Alkhwaildi, A. Asrari
{"title":"Modelling of Smart Homes Affected by Cyberattacks","authors":"S. Pazouki, B. K C, Hassan A. Alkhwaildi, A. Asrari","doi":"10.1109/NAPS50074.2021.9449777","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449777","url":null,"abstract":"Smart grid represents a computerized platform for two-way communications between system utilities and customers through digital and information technologies. Information, which is crucial for cyber-physical systems, is exchanged between power system utilities and smart homes through communication infrastructures. The more digitization of power system, the more vulnerability to various security threats such as False Data Injection (FDI) cyberattacks. The significance of the FDI cyberattacks is inevitable for some sectors such as homes, medical services, industry, etc. In this paper, attacker is considered to 1) gain access to the information of smart home and 2) manipulate the electricity demand of the smart home such that its overall cost is not significantly affected. The objective function and the operation of the smart home with/without FDI cyberattack are compared. The results demonstrate that attacker is able to successfully affect the performance of smart home by changing the shape of demand.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127486053","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":"CHIL Testbed of Consensus Control-Based Battery Energy Storage Systems","authors":"Yin Li, Lingling Fan, L. Bao, Zhixin Miao","doi":"10.1109/NAPS50074.2021.9449815","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449815","url":null,"abstract":"Consensus control has been proposed by our prior research to operate multiple battery energy storage systems (BESS). The objective of this paper is to validate the performance of consensus control using a controller-hardware-in-the-loop (CHIL) testbed. This paper describes the system topology and the setup process of this testbed. The testbed emulates a microgrid with three parallel BESS connected to the IEEE-9 bus system. The circuit part is simulated in real-time simulator while the control systems for BESS are implemented in three FPGA-based controllers. Using this testbed, the consensus control was tested under both of grid-connected mode and autonomous mode.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115857375","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}
Sushrut Thakar, V. Vittal, R. Ayyanar, E. Palomino, K. Brown
{"title":"Determining Optimal Battery Storage along a Distribution Feeder","authors":"Sushrut Thakar, V. Vittal, R. Ayyanar, E. Palomino, K. Brown","doi":"10.1109/NAPS50074.2021.9449736","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449736","url":null,"abstract":"Battery storage is an important upcoming technology for the distribution grid. This paper examines the optimal size, allocation and schedule of battery storage for a real distribution feeder. The selected feeder is operating close to its capacity. Hence, the storage is designed with the primary goal of mitigating the overloads in the system, with minimization of power loss as the secondary goal. The size of the storage required to mitigate the overloads is determined from time series power flow analysis. For allocation and scheduling of this storage, the problem is cast as an optimization with minimum active power loss as the objective. As a validation, the obtained storage is implemented in OpenDSS time series simulation to verify that the overloads are eliminated. Further, the impacts of increasing solar photovoltaic (PV) penetration and load growth on the storage size, allocation and schedule are shown to affect the required storage significantly.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986421","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}
Parag Mitra, A. Gaikwad, Malati Chaudhury, G. Nail, Karen Reedy, Steve Williams
{"title":"Composite load model usage for transmission planning studies: Insights and analysis","authors":"Parag Mitra, A. Gaikwad, Malati Chaudhury, G. Nail, Karen Reedy, Steve Williams","doi":"10.1109/NAPS50074.2021.9449761","DOIUrl":"https://doi.org/10.1109/NAPS50074.2021.9449761","url":null,"abstract":"Load modeling plays an important role in transmission planning studies to anticipate the response of a power system following fault. The composite load model is the latest and the state-of-the-art load model available for transmission planning studies. Many utilities in the US are already using the composite load model or transitioning to use the composite load model for their transmission planning studies. However, the usage of any aggregated load model can in some cases lead to unanticipated and suspect simulation results during certain grid conditions. This paper briefly introduces the composite load model and presents two scenarios where an informed sensitivity study can help transmission planners gain deeper insights into otherwise ambiguous results obtained while using the composite load model during simulations.","PeriodicalId":170486,"journal":{"name":"2020 52nd North American Power Symposium (NAPS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657924","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}