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公开(公告)号：US11264799B2
公开(公告)日：2022-03-01
申请号：US16392494
申请日：2019-04-23
申请人： Yishen Wang , Haifeng Li , Di Shi , Qibing Zhang , Chunlei Xu , Zhiwei Wang
发明人： Yishen Wang , Haifeng Li , Di Shi , Qibing Zhang , Chunlei Xu , Zhiwei Wang
摘要： Systems and methods manage electrical loads in a grid by applying Robust principal component analysis (R-PCA) to decompose annual load profiles into low-rank components and sparse components; extracting one or more predetermined features; constructing a similarity graph; selecting submodular cluster centers through the constructed similarity graph; determining a cluster assignment based on selected centers; and applying the clustering assignment for load analysis.
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2.发明授权公开(公告)号：US11178610B2
公开(公告)日：2021-11-16
申请号：US16392509
申请日：2019-04-23
申请人： Haifeng Li , Xiao Lu , Yingmeng Xiang , Chunlei Xu , Di Shi , Zhe Yu , Shiming Xu , Xueming Li , Jiangpeng Dai , Zhiwei Wang
发明人： Haifeng Li , Xiao Lu , Yingmeng Xiang , Chunlei Xu , Di Shi , Zhe Yu , Shiming Xu , Xueming Li , Jiangpeng Dai , Zhiwei Wang
IPC分类号： G05B13/04 , H04W52/02 , G06F1/3287 , G06F1/3209 , H02J3/00 , H02J3/14
摘要： Systems and methods are disclosed for power management by estimating power contingency of a grid at a cloud control center; performing decentralized real-time measurement and making local decisions at one more computer controlled outlets connected to the grid; and aggregating distributed loads to provide emergency frequency support to the grid.
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公开(公告)号：US20210173359A1
公开(公告)日：2021-06-10
申请号：US16704920
申请日：2019-12-05
申请人： Zhe Yu , Yishen Wang , Haifeng Li , Chang Fu , Zhiwei Wang , Di Shi
发明人： Zhe Yu , Yishen Wang , Haifeng Li , Chang Fu , Zhiwei Wang , Di Shi
摘要： A method for managing a power load of a grid includes performing a statistic-based distribution estimation of a composite load model using static and dynamic models with Gibbs sampling; deriving a distribution estimation of load model coefficients; and controlling grid power based on a simulation, a prediction, a stability analysis or a reliability analysis with the load model coefficients.
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公开(公告)号：US11181873B2
公开(公告)日：2021-11-23
申请号：US16704920
申请日：2019-12-05
申请人： Zhe Yu , Yishen Wang , Haifeng Li , Chang Fu , Zhiwei Wang , Di Shi
发明人： Zhe Yu , Yishen Wang , Haifeng Li , Chang Fu , Zhiwei Wang , Di Shi
摘要： A method for managing a power load of a grid includes performing a statistic-based distribution estimation of a composite load model using static and dynamic models with Gibbs sampling; deriving a distribution estimation of load model coefficients; and controlling grid power based on a simulation, a prediction, a stability analysis or a reliability analysis with the load model coefficients.
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公开(公告)号：US11114893B2
公开(公告)日：2021-09-07
申请号：US16396546
申请日：2019-04-26
申请人： Xiao Lu , Di Shi , Yingmeng Xiang , Haifeng Li , Chunlei Xu , Zhe Yu , Jiangpeng Dai , Shiming Xu , Xueming Li , Haiyun Han , Zhiwei Wang
发明人： Xiao Lu , Di Shi , Yingmeng Xiang , Haifeng Li , Chunlei Xu , Zhe Yu , Jiangpeng Dai , Shiming Xu , Xueming Li , Haiyun Han , Zhiwei Wang
摘要： Systems and methods are disclosed to control the power grid frequency by capturing the frequency change using an extended Kalman filter method with the distributed smart outlet devices at the low-voltage distribution level; and locally control the relay that provides power to the appliance by comparing the captured frequency with the threshold sent from the cloud control center.
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6.发明申请公开(公告)号：US20200327411A1
公开(公告)日：2020-10-15
申请号：US16842500
申请日：2020-04-07
申请人： Di Shi , Jiajun Duan , Ruisheng Diao , Bei Zhang , Xiao Lu , Haifeng Li , Chunlei Xu , Zhiwei Wang
发明人： Di Shi , Jiajun Duan , Ruisheng Diao , Bei Zhang , Xiao Lu , Haifeng Li , Chunlei Xu , Zhiwei Wang
摘要： Systems and methods are disclosed for controlling a power system by formulating a voltage control problem using a deep reinforcement learning (DRL) method with a control objective of training a DRL-agent to regulate the bus voltages of a power grid within a predefined zone before and after a disturbance; performing offline training with historical data to train the DRL agent; performing online retraining of the DRL agent using live PMU data; and providing autonomous control of the power system below a sub-second after training.
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公开(公告)号：US10651654B2
公开(公告)日：2020-05-12
申请号：US16179805
申请日：2018-11-02
申请人： Zhehan Yi , Yishen Wang , Bibin Huang , Di Shi , Zhiwei Wang , Tingting Hou
发明人： Zhehan Yi , Yishen Wang , Bibin Huang , Di Shi , Zhiwei Wang , Tingting Hou
摘要： A control system is disclosed with a control strategy for autonomous multi-bus hybrid microgrids based on Finite-Control-Set Model Predictive Control (FCS-MPC). The control loops are expedited by predicting the future states and determining the optimal control action before switching signals are sent to converters/inverters. The method eliminates PI and PWM components, and offers 1) accurate PV maximum power point tracking (MPPT) and battery charging/discharging control, 2) DC and AC bus voltage/frequency regulation, and 3) precise and flexible power sharing control among multiple DERs.
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公开(公告)号：US20180156886A1
公开(公告)日：2018-06-07
申请号：US15787365
申请日：2017-10-18
申请人： Xiao Lu , Xinan Wang , Di Shi , Zhiwei Wang , Jianyu Luo , Chunlei Xu
发明人： Xiao Lu , Xinan Wang , Di Shi , Zhiwei Wang , Jianyu Luo , Chunlei Xu
CPC分类号： G01R35/005 , G01R19/2513 , Y02E60/728 , Y04S10/265
摘要： Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement system (WAMS) based applications. In general, existing PMU calibration methods include offline testing and model based approaches. However, in practice, the effectiveness of both is limited due to the very strong assumptions employed. This invention presents a novel framework for online error detection and calibration of PMU measurement using density-based spatial clustering of applications with noise (DBSCAN) based on much relaxed assumptions. With a new problem formulation, the proposed data mining based methodology is applicable across a wide spectrum of practical conditions and one side-product of it is more accurate transmission line parameters for the energy management system (EMS) database and protective relay settings. Case studies are presented to demonstrate the effectiveness of the proposed method.
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公开(公告)号：US20190140453A1
公开(公告)日：2019-05-09
申请号：US16179805
申请日：2018-11-02
申请人： Zhehan Yi , Yishen Wang , Bibin Huang , Di Shi , Zhiwei Wang , Tingting Huo
发明人： Zhehan Yi , Yishen Wang , Bibin Huang , Di Shi , Zhiwei Wang , Tingting Huo
摘要： A control system is disclosed with a control strategy for autonomous multi-bus hybrid microgrids based on Finite-Control-Set Model Predictive Control (FCS-MPC). The control loops are expedited by predicting the future states and determining the optimal control action before switching signals are sent to converters/inverters. The method eliminates PI and PWM components, and offers 1) accurate PV maximum power point tracking (MPPT) and battery charging/discharging control, 2) DC and AC bus voltage/frequency regulation, and 3) precise and flexible power sharing control among multiple DERs.
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公开(公告)号：US10551471B2
公开(公告)日：2020-02-04
申请号：US15787365
申请日：2017-10-18
申请人： Xiao Lu , Xinan Wang , Di Shi , Zhiwei Wang , Jianyu Luo , Chunlei Xu
发明人： Xiao Lu , Xinan Wang , Di Shi , Zhiwei Wang , Jianyu Luo , Chunlei Xu
摘要： Data quality of Phasor Measurement Unit (PMU) is receiving increasing attention as it has been identified as one of the limiting factors that affect many wide-area measurement system (WAMS) based applications. In general, existing PMU calibration methods include offline testing and model based approaches. However, in practice, the effectiveness of both is limited due to the very strong assumptions employed. This invention presents a novel framework for online error detection and calibration of PMU measurement using density-based spatial clustering of applications with noise (DBSCAN) based on much relaxed assumptions. With a new problem formulation, the proposed data mining based methodology is applicable across a wide spectrum of practical conditions and one side-product of it is more accurate transmission line parameters for the energy management system (EMS) database and protective relay settings. Case studies are presented to demonstrate the effectiveness of the proposed method.
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