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Dr. Shutang You
Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN 37996, USA.

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0 Power Systems
0 Smart Grid
0 oscillations
0 Power Grid Frequency Response
0 Electromechanical Waves

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Power Systems
Power Grid Frequency Response
Smart Grid
oscillations

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Journal article
Published: 24 June 2021 in IEEE Transactions on Power Systems
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Accurate event identification is an essential part of situation awareness ability for power system operators. Therefore, this work proposes an integrated event identification algorithm for power systems. First, to obtain and filter suitable inputs for event identification, an event detection trigger based on the rate of change of frequency (RoCoF) is presented. Then, the wave arrival time difference-based triangulation method considering the anisotropy of wave propagation speed is utilized to estimate the location of the detected event. Next, the two-dimensional orthogonal locality preserving projection (2D-OLPP)-based method, which is suitable for multiple types of measured data, is employed to achieve higher effectiveness in extracting the event features compared with traditional one-dimensional projection and principle component analysis (PCA). Finally, the random undersampling boosted (RUSBoosted) trees-based classifier, which can mitigate the data sample imbalance issue, is utilized to identify the type of the detected event. The proposed approach is demonstrated using the actual measurement data of U.S. power systems from FNET/GridEye. Comparison results show that the proposed event identification algorithm can achieve better performance than existing approaches.

ACS Style

Shengyuan Liu; Shutang You; Z.Z. Lin; Chujie Zeng; Hongyu Li; Weikang Wang; Xuetao Hu; Yilu Liu. Data-driven Event Identification in the U.S. Power Systems Based on 2D-OLPP and RUSBoosting Trees. IEEE Transactions on Power Systems 2021, PP, 1 -1.

AMA Style

Shengyuan Liu, Shutang You, Z.Z. Lin, Chujie Zeng, Hongyu Li, Weikang Wang, Xuetao Hu, Yilu Liu. Data-driven Event Identification in the U.S. Power Systems Based on 2D-OLPP and RUSBoosting Trees. IEEE Transactions on Power Systems. 2021; PP (99):1-1.

Chicago/Turabian Style

Shengyuan Liu; Shutang You; Z.Z. Lin; Chujie Zeng; Hongyu Li; Weikang Wang; Xuetao Hu; Yilu Liu. 2021. "Data-driven Event Identification in the U.S. Power Systems Based on 2D-OLPP and RUSBoosting Trees." IEEE Transactions on Power Systems PP, no. 99: 1-1.

Journal article
Published: 11 May 2021 in IEEE Transactions on Power Systems
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Due to the independent controllability and fast power regulation capability, the High Voltage Direct Current (HVDC) system could be a prospective technology to provide multiple ancillary services to the system besides conventional bulk power transmission. However, with the increase of False Data Injection Attacks (FDIAs) on PMU data, the HVDC system could have the wrong response once the collected data that the HVDC system relied on is attacked, thus threatening the system operating security. How to ensure the security of the PMU-based HVDC ancillary service control become an urgent issue. To mitigate the risk, this paper proposed an HVDC attack-defense control based on the FDIAs detection method. Firstly, the Squeeze-Excitation based Double Convolutional Neural Networks (SE-DCNN) is proposed to realize fast identification of the attacking frequency type based on the time and frequency domain signals. The duration time of FDIAs is detected by the local outlier factor. Then, utilizing the results from SE-DCNN, HVDC ancillary service control framework is reorganized and an HVDC attack defense control is proposed for suppressing the potential influence of various types of FDIAs on the HVDC system ancillary service. Different experiments results demonstrate that the proposed methods have the ability to significantly mitigate the frequency deviation and oscillation under the FDIA.

ACS Style

Kaiqi Sun; Wei Qiu; Wenxuan Yao; Shutang You; He Yin; Yilu Liu. Frequency Injection based HVDC Attack-defense Control via Squeeze-Excitation Double CNN. IEEE Transactions on Power Systems 2021, PP, 1 -1.

AMA Style

Kaiqi Sun, Wei Qiu, Wenxuan Yao, Shutang You, He Yin, Yilu Liu. Frequency Injection based HVDC Attack-defense Control via Squeeze-Excitation Double CNN. IEEE Transactions on Power Systems. 2021; PP (99):1-1.

Chicago/Turabian Style

Kaiqi Sun; Wei Qiu; Wenxuan Yao; Shutang You; He Yin; Yilu Liu. 2021. "Frequency Injection based HVDC Attack-defense Control via Squeeze-Excitation Double CNN." IEEE Transactions on Power Systems PP, no. 99: 1-1.

Journal article
Published: 17 December 2020 in IEEE Transactions on Smart Grid
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The declining cost of solar Photovoltaics (PV) generation is driving its worldwide deployment. As conventional generation with large rotating masses is being replaced by renewable energy such as PV, the power system’s inertia will be affected. As a result, the system’s frequency may vary more dramatically in the case of a disturbance, and the frequency nadir may be low enough to trigger protection relays such as under-frequency load shedding. The existing frequency-watt function mandated in power inverters cannot provide grid frequency support in a loss-of-generation event, as PV plants usually do not have power reserves. In this article, a novel adaptive PV frequency control strategy is proposed to reserve the minimum power required for grid frequency support. A machine learning model is trained to predict system frequency response under varying system conditions, and an adaptive allocation of PV headroom reserves is made based on the machine learning model as well as real-time system conditions including inertia. Case studies show the proposed control method meets the frequency nadir requirements using minimal power reserves compared to a fixed headroom control approach.

ACS Style

Yu Su; Hongyu Li; Yi Cui; Shutang You; Yiwei Ma; Jingxin Wang; Yilu Liu. An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation. IEEE Transactions on Smart Grid 2020, 12, 2355 -2364.

AMA Style

Yu Su, Hongyu Li, Yi Cui, Shutang You, Yiwei Ma, Jingxin Wang, Yilu Liu. An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation. IEEE Transactions on Smart Grid. 2020; 12 (3):2355-2364.

Chicago/Turabian Style

Yu Su; Hongyu Li; Yi Cui; Shutang You; Yiwei Ma; Jingxin Wang; Yilu Liu. 2020. "An Adaptive PV Frequency Control Strategy Based on Real-Time Inertia Estimation." IEEE Transactions on Smart Grid 12, no. 3: 2355-2364.

Preprint
Published: 30 October 2020
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Due to the high solar irradiance or energy price, certain regions in the U.S. may reach 100% PV penetration and experience degradation of frequency response greater than the interconnection as a whole. Therefore, in this section, the 100% PV penetration region in each interconnection is simulated to study the local high PV penetration effects. The study was performed by quantifying RoCoF, frequency nadir, and settling frequency at different regional PV penetration levels. The impact of high regional PV penetration on the compliance of grid code on frequency response is also studied.

ACS Style

Shutang You. Impact of High PV Penetration on Regional Power Grids. 2020, 1 .

AMA Style

Shutang You. Impact of High PV Penetration on Regional Power Grids. . 2020; ():1.

Chicago/Turabian Style

Shutang You. 2020. "Impact of High PV Penetration on Regional Power Grids." , no. : 1.

Preprint
Published: 26 October 2020
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This paper studied the solar PV frequency control in the U.S. Eastern Interconnection (EI) and Texas Interconnection (ERCOT) systems. The studied frequency control approaches include droop frequency control, inertia control, and droop-inertia-combined frequency control. The control effects of different frequency controls of PV in the EI and ERCOT are studied using actual high PV penetration interconnection grid models to provide suggestions to the future revision of future PV frequency control standards.

ACS Style

Shutang You. Solar PV Frequency Control in the U.S. EI and ERCOT Interconnections — Case Studies and Recommendations. 2020, 1 .

AMA Style

Shutang You. Solar PV Frequency Control in the U.S. EI and ERCOT Interconnections — Case Studies and Recommendations. . 2020; ():1.

Chicago/Turabian Style

Shutang You. 2020. "Solar PV Frequency Control in the U.S. EI and ERCOT Interconnections — Case Studies and Recommendations." , no. : 1.

Preprint
Published: 26 October 2020
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This letter introduces a frequency response characteristic (FRC) curve and its application in high renewable power systems. In addition, the letter presents a method for fast frequency response assessment and frequency nadir prediction without performing dynamic simulations using detailed models. The proposed FRC curve and fast frequency response assessment method are useful for operators to understand frequency response performance of high renewable systems in real time.

ACS Style

Shutang You. Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems. 2020, 1 .

AMA Style

Shutang You. Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems. . 2020; ():1.

Chicago/Turabian Style

Shutang You. 2020. "Frequency Response Characteristic (FRC) Curve and Fast Frequency Response Assessment in High Renewable Power Systems." , no. : 1.

Review
Published: 25 September 2020 in Sustainability
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Due to the heavy stress on environmental deterioration and the excessive consumption of fossil resources, the transition of global energy from fossil fuel energy to clean energy has significantly accelerated in recent years. The power industry and policymakers in almost all countries are focusing on clean energy development. Thanks to progressive clean energy policies, significant progress in clean energy integration and greenhouse gas reduction has been achieved around the world. However, due to the differences in economic structures, clean energy distributions, and development models, clean energy policy scope, focus, and coverage vary between different countries, states, and utilities. This paper aims at providing a policy review for readers to easily obtain clean energy policy information on various clean energies in the U.S. and some other countries. Firstly, this paper reviews and compares some countries’ clean energy policies on electricity. Then, taking the U.S. as an example, this paper introduces the clean energy policies of some representative states and utilities in the U.S in perspectives of renewable energies, electric vehicles, and energy storage.

ACS Style

Kaiqi Sun; HuangQing Xiao; Shengyuan Liu; Shutang You; Fan Yang; Yuqing Dong; Weikang Wang; Yilu Liu. A Review of Clean Electricity Policies—From Countries to Utilities. Sustainability 2020, 12, 7946 .

AMA Style

Kaiqi Sun, HuangQing Xiao, Shengyuan Liu, Shutang You, Fan Yang, Yuqing Dong, Weikang Wang, Yilu Liu. A Review of Clean Electricity Policies—From Countries to Utilities. Sustainability. 2020; 12 (19):7946.

Chicago/Turabian Style

Kaiqi Sun; HuangQing Xiao; Shengyuan Liu; Shutang You; Fan Yang; Yuqing Dong; Weikang Wang; Yilu Liu. 2020. "A Review of Clean Electricity Policies—From Countries to Utilities." Sustainability 12, no. 19: 7946.

Journal article
Published: 08 April 2020 in IEEE Transactions on Smart Grid
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With the development and wide deployment of measurement equipment, data can be automatically measured and visualized for situation awareness in power systems. However, the cyber security of power systems is also threated by data spoofing attacks. This letter proposed a measurement data source authentication (MDSA) algorithm based on feature extraction techniques including ensemble empirical mode decomposition (EEMD) and fast Fourier transform (FFT), and machine learning for real-time measurement data classification. Compared with previous work, the proposed algorithm can achieve higher accuracy of MDSA using a shorter window of data from closely located synchrophasor measurement sensors.

ACS Style

Shengyuan Liu; Shutang You; He Yin; Zhenzhi Lin; Yilu Liu; Wenxuan Yao; Lakshmi Sundaresh. Model-Free Data Authentication for Cyber Security in Power Systems. IEEE Transactions on Smart Grid 2020, 11, 4565 -4568.

AMA Style

Shengyuan Liu, Shutang You, He Yin, Zhenzhi Lin, Yilu Liu, Wenxuan Yao, Lakshmi Sundaresh. Model-Free Data Authentication for Cyber Security in Power Systems. IEEE Transactions on Smart Grid. 2020; 11 (5):4565-4568.

Chicago/Turabian Style

Shengyuan Liu; Shutang You; He Yin; Zhenzhi Lin; Yilu Liu; Wenxuan Yao; Lakshmi Sundaresh. 2020. "Model-Free Data Authentication for Cyber Security in Power Systems." IEEE Transactions on Smart Grid 11, no. 5: 4565-4568.

Journal article
Published: 02 July 2019 in IEEE Transactions on Smart Grid
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The increase of renewable penetration in power grids calls for loads to participate in frequency regulation to avoid under-frequency load shedding after large resource contingencies. The motivation of this paper is to fulfill a fast residential load control for frequency stability enhancement. For this purpose, a novel mobile distribution-level phasor measurement unit (MDPMU) is developed for disturbance event detection, power mismatch estimation and fast load control. First, the systematic design of the MDPMU introduced. The proposed MDPMU has the major advantages of low cost and high frequency measurement accuracy. Second, the distribution-level measurement is utilized for the rate of change of frequency (ROCOF) calculation. Upon detection of a power system frequency event, power mismatch is estimated at the early stage of the event. Details of a robust approach to calculate ROCOF and determine the event starting point are presented. Practical issues including the measurement reporting rate and estimation time are also considered. Last, with the proposed control system, residential load responses can be controlled coordinately based on load availability and compensation prices offered by customers, providing adaptive frequency regulation service after large resource contingencies. The accuracy of frequency measurement and power mismatch estimation are evaluated via experimental analysis. The frequency stability improvement by load control is validated via PSS/E simulation.

ACS Style

Wenxuan Yao; Shutang You; Weikang Wang; Xianda Deng; Yicheng Li; Lingwei Zhan; Yilu Liu. A Fast Load Control System Based on Mobile Distribution-Level Phasor Measurement Unit. IEEE Transactions on Smart Grid 2019, 11, 895 -904.

AMA Style

Wenxuan Yao, Shutang You, Weikang Wang, Xianda Deng, Yicheng Li, Lingwei Zhan, Yilu Liu. A Fast Load Control System Based on Mobile Distribution-Level Phasor Measurement Unit. IEEE Transactions on Smart Grid. 2019; 11 (1):895-904.

Chicago/Turabian Style

Wenxuan Yao; Shutang You; Weikang Wang; Xianda Deng; Yicheng Li; Lingwei Zhan; Yilu Liu. 2019. "A Fast Load Control System Based on Mobile Distribution-Level Phasor Measurement Unit." IEEE Transactions on Smart Grid 11, no. 1: 895-904.

Journal article
Published: 11 January 2019 in IEEE Transactions on Power Systems
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ACS Style

Jianmin Li; Zhaosheng Teng; Yajun Wang; Shutang You; Yilu Liu; Wenxuan Yao. A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering. IEEE Transactions on Power Systems 2019, 34, 2461 -2464.

AMA Style

Jianmin Li, Zhaosheng Teng, Yajun Wang, Shutang You, Yilu Liu, Wenxuan Yao. A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering. IEEE Transactions on Power Systems. 2019; 34 (3):2461-2464.

Chicago/Turabian Style

Jianmin Li; Zhaosheng Teng; Yajun Wang; Shutang You; Yilu Liu; Wenxuan Yao. 2019. "A Fast Power Grid Frequency Estimation Approach Using Frequency-Shift Filtering." IEEE Transactions on Power Systems 34, no. 3: 2461-2464.

Journal article
Published: 01 October 2018 in IEEE Transactions on Power Systems
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In this paper, a new systematic method is proposed to analyze the system frequency in power systems under uncertain variability (UV). UV gradually increases in power systems, which originates from the renewable energy generation, random loads, frequency measurement, and communication channels, exerting noteworthy impacts on dynamic system frequency. The UV is modeled as a stochastic process in this paper. Then, the stochastic differential equations are used to describe the dynamic system frequency response of a power system under UV, which is based on the classic system frequency response (SFR) model. To assess system frequency dynamics under UV, an index of intra-range probability is put forward. Based on stochastic analysis theory, an analytic method is proposed to analyze the system frequency under UV, by which the intra-range probability can be analytically solved. Compared with Monte Carlo simulation in a typical system frequency response case and the Iceland electricity transmission network, the proposed method shows almost the same results using much less computation resource. Finally, insights for improving the system frequency response under UV are provided. The proposed method can be used to quickly verify whether the system frequency could withstand the UV and keep system frequency in the security range.

ACS Style

Hongyu Li; Ping Ju; Chun Gan; Shutang You; Feng Wu; Yilu Liu. Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability. IEEE Transactions on Power Systems 2018, 34, 982 -993.

AMA Style

Hongyu Li, Ping Ju, Chun Gan, Shutang You, Feng Wu, Yilu Liu. Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability. IEEE Transactions on Power Systems. 2018; 34 (2):982-993.

Chicago/Turabian Style

Hongyu Li; Ping Ju; Chun Gan; Shutang You; Feng Wu; Yilu Liu. 2018. "Analytic Analysis for Dynamic System Frequency in Power Systems Under Uncertain Variability." IEEE Transactions on Power Systems 34, no. 2: 982-993.

Conference paper
Published: 01 September 2018 in 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)
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Integration of renewable generation sets high requirements for real-time situational awareness of power systems. FNET/GridEye, a synchrophasor measurement network for wide-area power system monitoring has been assisting realtime situational awareness and helping improve reliability in many power grids for 14 years. To aid operators confronting challenges from growing renewables, FNET/GridEye continues increasing its measurement accuracy and enhancing its functionalities. This paper provides an overview on the mostrecent FNET/GridEye application improvements that help power grid operation with high renewable penetration. The real-time applications presented in this paper include event location, oscillation monitoring, inertia estimation, and islanding detection.

ACS Style

Shutang You; Jiecheng Zhao; Wenxuan Yao; Yong Liu; Yi Cui; Ling Wu; Jiahui Guo; Yilu Liu. FNET/GridEye for Future High Renewable Power Grids — Applications Overview. 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) 2018, 1 -5.

AMA Style

Shutang You, Jiecheng Zhao, Wenxuan Yao, Yong Liu, Yi Cui, Ling Wu, Jiahui Guo, Yilu Liu. FNET/GridEye for Future High Renewable Power Grids — Applications Overview. 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA). 2018; ():1-5.

Chicago/Turabian Style

Shutang You; Jiecheng Zhao; Wenxuan Yao; Yong Liu; Yi Cui; Ling Wu; Jiahui Guo; Yilu Liu. 2018. "FNET/GridEye for Future High Renewable Power Grids — Applications Overview." 2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) , no. : 1-5.

Proceedings article
Published: 01 August 2018 in 2018 IEEE Power & Energy Society General Meeting (PESGM)
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Sudden trips of generation or large system load threaten bulk power systems (BPSs) secure and reliable operations. With the increasing deployment of Phasor Measurements Units (PMUs), system operators are thrilled to receive instant notifications of sudden disturbances and be aware of where, when, and what type of disturbances the system is experiencing. The amount of power imbalance is one of the fundamental information of the interests of both system operators and academic researchers. The PMU-based applications estimate the magnitude by interpreting the dynamic frequency responses immediately after a disturbance occurrence. However, the accuracy of the traditional method is unsatisfying because it oversimplifies the relation between the imbalance magnitude and the frequency response. This paper proposes to estimate the magnitudes of power imbalances based on multiple linear regression. It considers several other system and environmental factors and identifies those factors strongly associated with the disturbance magnitude. The approach is applied to actual generation trip events happened in two of the main power grids in North America. Compared with the traditional method, the proposed approach demonstrates improved accuracy.

ACS Style

Ling Wu; Shutang You; Jiaojiao Dong; Yilu Liu; Terry Bilke. Multiple Linear Regression Based Disturbance Magnitude Estimations for Bulk Power Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM) 2018, 1 -5.

AMA Style

Ling Wu, Shutang You, Jiaojiao Dong, Yilu Liu, Terry Bilke. Multiple Linear Regression Based Disturbance Magnitude Estimations for Bulk Power Systems. 2018 IEEE Power & Energy Society General Meeting (PESGM). 2018; ():1-5.

Chicago/Turabian Style

Ling Wu; Shutang You; Jiaojiao Dong; Yilu Liu; Terry Bilke. 2018. "Multiple Linear Regression Based Disturbance Magnitude Estimations for Bulk Power Systems." 2018 IEEE Power & Energy Society General Meeting (PESGM) , no. : 1-5.

Proceedings article
Published: 01 August 2018 in 2018 IEEE Power & Energy Society General Meeting (PESGM)
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Increasing penetration levels of solar photovoltaic (PV) and the reduced inertia of inverter-based generation technologies have caught the attention of the electric power industry and academia in the United States. This paper conducts a comprehensive frequency response study of the Western Interconnection under high penetration levels of PV, which are up to 80% at the interconnection level and 100% at the regional level. Based on the 2022 Light Spring case, PV has been projected by areas for four PV penetration levels based on collected realistic PV distribution information. The overall system frequency response has been analyzed under different scenarios. In particular, the 100% regional PV penetration case has been developed to reveal local frequency issues in the Western Interconnection. The potential of using existing resources to improve frequency response has also been studied. New insights in this paper address the implications of the rapid deployment of solar generation in the Western Interconnection.

ACS Style

Jin Tan; Yingchen Zhang; Shutang You; Yong Liu; Yilu Liu. Frequency Response Study of U.S. Western Interconnection under Extra-High Photovoltaic Generation Penetrations. 2018 IEEE Power & Energy Society General Meeting (PESGM) 2018, 1 -5.

AMA Style

Jin Tan, Yingchen Zhang, Shutang You, Yong Liu, Yilu Liu. Frequency Response Study of U.S. Western Interconnection under Extra-High Photovoltaic Generation Penetrations. 2018 IEEE Power & Energy Society General Meeting (PESGM). 2018; ():1-5.

Chicago/Turabian Style

Jin Tan; Yingchen Zhang; Shutang You; Yong Liu; Yilu Liu. 2018. "Frequency Response Study of U.S. Western Interconnection under Extra-High Photovoltaic Generation Penetrations." 2018 IEEE Power & Energy Society General Meeting (PESGM) , no. : 1-5.

Journal article
Published: 11 June 2018 in IEEE Transactions on Sustainable Energy
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Power grid primary frequency response will be significantly impaired by Photovoltaic (PV) penetration increase because of the decrease in inertia and governor response. PV inertia and governor emulation requires reserving PV output and leads to solar energy waste. This paper exploits current grid resources and explores energy storage for primary frequency response under high PV penetration at the interconnection level. Based on the actual models of the U.S. Eastern Interconnection grid and the Texas grid, effects of multiple factors associated with primary frequency response, including the governor ratio, governor deadband, droop rate, fast load response. are assessed under high PV penetration scenarios. In addition, performance of batteries and supercapacitors using different control strategies is studied in the two interconnections. The paper quantifies the potential of various resources to improve interconnection-level primary frequency response under high PV penetration without curtailing solar output.

ACS Style

Shutang You; Yong Liu; Jin Tan; Melanie T. Gonzalez; Xuemeng Zhang; Yingchen Zhang; Yilu Liu. Comparative Assessment of Tactics to Improve Primary Frequency Response Without Curtailing Solar Output in High Photovoltaic Interconnection Grids. IEEE Transactions on Sustainable Energy 2018, 10, 718 -728.

AMA Style

Shutang You, Yong Liu, Jin Tan, Melanie T. Gonzalez, Xuemeng Zhang, Yingchen Zhang, Yilu Liu. Comparative Assessment of Tactics to Improve Primary Frequency Response Without Curtailing Solar Output in High Photovoltaic Interconnection Grids. IEEE Transactions on Sustainable Energy. 2018; 10 (2):718-728.

Chicago/Turabian Style

Shutang You; Yong Liu; Jin Tan; Melanie T. Gonzalez; Xuemeng Zhang; Yingchen Zhang; Yilu Liu. 2018. "Comparative Assessment of Tactics to Improve Primary Frequency Response Without Curtailing Solar Output in High Photovoltaic Interconnection Grids." IEEE Transactions on Sustainable Energy 10, no. 2: 718-728.

Conference paper
Published: 01 April 2018 in 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018)
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As a pilot wide-area monitoring system (WAMS), FNET/GridEye monitors the bulk power systems using a network of GPS-synchronized sensors and a wide variety of FNET/GridEye applications have been spawned in the past years. In this paper, following a brief description of the FNET/GridEye historical developments, several recent examples of FNET/GridEye applications are introduced.

ACS Style

Yong Liu; Yi Cui; Wenpeng Yu; Yao Zhang; Ling Wu; Shutang You; Yilu Liu. Recent application examples of FNET/GridEye. 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018) 2018, 1 -6.

AMA Style

Yong Liu, Yi Cui, Wenpeng Yu, Yao Zhang, Ling Wu, Shutang You, Yilu Liu. Recent application examples of FNET/GridEye. 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018). 2018; ():1-6.

Chicago/Turabian Style

Yong Liu; Yi Cui; Wenpeng Yu; Yao Zhang; Ling Wu; Shutang You; Yilu Liu. 2018. "Recent application examples of FNET/GridEye." 2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018) , no. : 1-6.

Conference paper
Published: 01 April 2018 in 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
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A power system electromechanical wave propagates from the disturbance location to the rest of system, influencing various types of protections. In addition, since more power-electronics-interfaced generation and energy storage devices are being integrated into power systems, electromechanical wave propagation speeds in the future power systems are likely to change accordingly. In this paper, GPS-synchronized measurement data from a wide-area synchrophasor measurement system FNET/GridEye are used to analyze the characteristics of electromechanical wave propagation in the U.S. Eastern Interconnection (EI) system. Afterwards, high levels of photovoltaic (PV) penetration are modeled in the EI to investigate the influences of a typical power-electronics--interfaced resource on the electromechanical wave propagation speed.

ACS Style

Shutang You; Yong Liu; Xuemeng Zhang; Melanie T. Gonzalez; Yilu Liu. U.S. Eastern Interconnection (EI) Electromechanical Wave Propagation and the Impact of High PV Penetration on its Speed. 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2018, 1 -5.

AMA Style

Shutang You, Yong Liu, Xuemeng Zhang, Melanie T. Gonzalez, Yilu Liu. U.S. Eastern Interconnection (EI) Electromechanical Wave Propagation and the Impact of High PV Penetration on its Speed. 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2018; ():1-5.

Chicago/Turabian Style

Shutang You; Yong Liu; Xuemeng Zhang; Melanie T. Gonzalez; Yilu Liu. 2018. "U.S. Eastern Interconnection (EI) Electromechanical Wave Propagation and the Impact of High PV Penetration on its Speed." 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) , no. : 1-5.

Conference paper
Published: 01 April 2018 in 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)
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Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. To derive reduced models of large power systems, this paper proposes a measurement-based dynamic equivalent, which uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies on the U.S. Eastern Interconnection (EI) demonstrate that the measurement-based equivalent technique can capture the external system behaviors accurately and improve computation efficiency.

ACS Style

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Yilu Liu. U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) 2018, 1 -5.

AMA Style

Xuemeng Zhang, Yaosuo Xue, Shutang You, Yong Liu, Yilu Liu. U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach. 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D). 2018; ():1-5.

Chicago/Turabian Style

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Yilu Liu. 2018. "U.S. Eastern Interconnection (EI) Model Reductions Using a Measurement-based Approach." 2018 IEEE/PES Transmission and Distribution Conference and Exposition (T&D) , no. : 1-5.

Journal article
Published: 30 January 2018 in IEEE Transactions on Power Systems
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Nonsynchronous generators such as photovoltaics (PVs) are expected to undermine bulk power systems (BPSs)' frequency response at high penetration levels. Though the underlying mechanism has been relatively well understood, the accurate assessment and effective enhancement of the U.S. interconnections' frequency response under extra-high PV penetration conditions remains an issue. In this paper, the industry-provided full-detail interconnection models were further validated by synchrophasor frequency measurements and realistically-projected PV geographic distribution information were used to develop extra-high PV penetration scenarios and dynamic models for the three main U.S. interconnections, including Eastern Interconnection (EI), Western Electricity Coordinating Council (WECC), and Electric Reliability Council of Texas (ERCOT). Up to 65% instantaneous PV and 15% wind penetration were simulated and the frequency response change trend of each U.S. interconnection due to the increasing PV penetration level were examined. Most importantly, the practical solutions to address the declining frequency response were discussed. This paper will provide valuable guidance for policy makers, utility operators and academic researchers not only in the U.S. but also other countries in the world.

ACS Style

Yong Liu; Shutang You; Jin Tan; Yingchen Zhang; Yilu Liu. Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective. IEEE Transactions on Power Systems 2018, 33, 3438 -3449.

AMA Style

Yong Liu, Shutang You, Jin Tan, Yingchen Zhang, Yilu Liu. Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective. IEEE Transactions on Power Systems. 2018; 33 (3):3438-3449.

Chicago/Turabian Style

Yong Liu; Shutang You; Jin Tan; Yingchen Zhang; Yilu Liu. 2018. "Frequency Response Assessment and Enhancement of the U.S. Power Grids Toward Extra-High Photovoltaic Generation Penetrations—An Industry Perspective." IEEE Transactions on Power Systems 33, no. 3: 3438-3449.

Proceedings article
Published: 01 September 2017 in 2017 North American Power Symposium (NAPS)
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Interconnected power systems experienced a significant increase in size and complexity. It is computationally burdensome to represent the entire system in detail to conduct power system analysis. Therefore, the model of the study system must be retained in detail while the external system can be reduced using system reduction techniques. This paper proposes a measurement-based dynamic equivalent in order to increase both model accuracy and simulation speed. The proposed method uses a set of measurements at the boundary nodes between the study area and external area for model parameter identification. Case studies demonstrate that the measurement-based technique can capture the main system behaviors accurately and improve computational efficiency.

ACS Style

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Zhiyong Yuan; Jidong Chai; Yilu Liu. Measurement-based power system dynamic model reductions. 2017 North American Power Symposium (NAPS) 2017, 1 -6.

AMA Style

Xuemeng Zhang, Yaosuo Xue, Shutang You, Yong Liu, Zhiyong Yuan, Jidong Chai, Yilu Liu. Measurement-based power system dynamic model reductions. 2017 North American Power Symposium (NAPS). 2017; ():1-6.

Chicago/Turabian Style

Xuemeng Zhang; Yaosuo Xue; Shutang You; Yong Liu; Zhiyong Yuan; Jidong Chai; Yilu Liu. 2017. "Measurement-based power system dynamic model reductions." 2017 North American Power Symposium (NAPS) , no. : 1-6.