公开(公告)号：US12100954B2

公开(公告)日：2024-09-24

申请号：US17383764

申请日：2021-07-23

Applicant: Tsinghua University

Inventor： Hongbin Sun ,  Yanzhen Zhou ,  Qinglai Guo ,  Bin Wang ,  Wenchuan Wu ,  Zhengcheng Wang ,  Jian Lan

IPC: G06F113/04 ,  G06N3/04 ,  G06N3/08 ,  H02J3/24

CPC classification number: H02J3/24 ,  G06N3/04 ,  G06N3/08 ,  G06F2113/04 ,  H02J2203/20

Abstract: A transient stability assessment method for an electric power system is disclosed. Transient stability tags and steady-state data of the electric power system before a failure occurs are collected from transient stability simulation data. Data sets under different predetermined failures are obtained based on a statistical result of the transient stability tags and a maximum-minimum method. A similarity evaluation index between different predetermined failures is constructed based on a Jaccard distance and a Hausdorff distance. Different predetermined failures are clustered based on a clustering algorithm. A parameters-shared siamese neural network is trained for different predetermined failures in each cluster to obtain a multi-task siamese neural network for the transient stability assessment. Transient stability assessment results of the electric power system under all the predetermined failures are obtained based on the statistical result of the transient stability tags and the multi-task siamese neural network for the transient stability assessment.

公开(公告)号：US11689024B2

公开(公告)日：2023-06-27

申请号：US17383658

申请日：2021-07-23

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Shuwei Xu ,  Boming Zhang ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: H02J3/38 ,  G05B19/042

CPC classification number: H02J3/381 ,  G05B19/042 ,  G05B2219/2639 ,  H02J2203/20 ,  H02J2300/28

Abstract: The disclosure relates to a two-side stochastic dispatching method for a power grid. By analyzing historical data of wind power, the Gaussian mixture distribution is fitted by software. For certain power system parameters, a two-side chance-constrained stochastic dispatching model is established. The hyperbolic tangent function is used to analyze and approximate cumulative distribution functions of random variables in the reserve demand constraint and the power flow constraint, to convert the two-side chance constraint into a deterministic constraint. The disclosure can have the advantage of using the hyperbolic tangent function to convert the two-side chance constraint containing risk levels and random variables into the solvable deterministic convex constraint, effectively improving the solution efficiency of the model, and providing decision makers with a more reasonable dispatching basis.

公开(公告)号：US11411406B2

公开(公告)日：2022-08-09

申请号：US16664053

申请日：2019-10-25

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID JILINSHENG ELECTRIC POWER SUPPLY COMPANY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Bin Wang ,  Yong Sun ,  Hongbin Sun ,  Qinglai Guo ,  Chenhui Lin

IPC: G06F17/11 ,  H02J3/46 ,  H02J3/38 ,  H02J3/40

Abstract: The present disclosure relates to a method, an apparatus and a storage medium for controlling a combined heat and power system, belonging to the field of power system technologies. The method discloses: establishing a decision model, the decision model including an objective function aiming to minimize a total cost of the first generators and the second generators, and constraints with respect to the first generators, the second generators and the heating exchange stations; solving the decision model to acquire operation states of the first generators, operation states of the second generators, and operations states of the heating exchange stations; and controlling the combined heat and power system, based on the operation states of the first generators, the operation states of the second generators, and the operations states of the heating exchange stations.

公开(公告)号：US11262713B2

公开(公告)日：2022-03-01

申请号：US16842600

申请日：2020-04-07

Applicant: Tsinghua University

Inventor： Hongbin Sun ,  Qinglai Guo ,  Bin Wang ,  Zhaoguang Pan

IPC: G05B13/04 ,  F01K27/00 ,  G06F30/20 ,  H02J3/38

Abstract: A method for calculating control parameters of a heating supply power of a heating network, pertaining to the technical field of operation and control of a power system containing multiple types of energy. The method: establishing a heating network simulation model that simulates a thermal dynamic process of the heating network; starting an upward simulation based on the heating network simulation model to obtain first control parameters from a set of up adjustment amounts; starting a downward simulation based on the heating network simulation model, to obtain second control parameters from a set of down adjustment amounts.

公开(公告)号：US11043818B2

公开(公告)日：2021-06-22

申请号：US16542620

申请日：2019-08-16

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Bin Wang ,  Mingjie Li ,  Hongbin Sun ,  Qinglai Guo ,  Yue Yang ,  Shuwei Xu

IPC: H02J3/38 ,  G05B19/042

Abstract: The disclosure provides a stochastic look-ahead dispatch method for power system based on Newton method, belonging to power system dispatch technologies. The disclosure analyzes historical data of wind power output, and uses statistical or fitting software to perform Gaussian mixture model fitting. A dispatch model with chance constraints is established for system parameters. Newton method is to solve quantiles of random variables obeying Gaussian mixture model, so that chance constraints are transformed into deterministic linear constraints, thus transforming original problem to convex optimization problem with linear constraints. Finally, the model is solved to obtain look-ahead dispatch. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic linear constraints, which effectively improves model solution efficiency, and provides reasonable dispatch for decision makers. The disclosure is employed to the dispatch of the power system including large-scale renewable energy grid-connected.

公开(公告)号：US10923916B2

公开(公告)日：2021-02-16

申请号：US16542651

申请日：2019-08-16

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Bin Wang ,  Mingjie Li ,  Hongbin Sun ,  Qinglai Guo ,  Yue Yang ,  Shuwei Xu

IPC: H02J3/38 ,  G05B17/02

Abstract: The disclosure provides a stochastic dynamical unit commitment method for power system based on solving quantiles via Newton method, belonging to power system technologies. The method establishes a unit commitment model with chance constraints for power system parameters. Quantiles of random variables obeying mixed Gaussian distribution is solved by Newton method, and chance constraints are transformed into deterministic linear constraints, so that original problem is transformed into mixed integer linear optimization problem. Finally, the model is solved to obtain on-off strategy and active power plan of units. The disclosure employs Newton method to transform chance constraints containing risk level and random variables into deterministic mixed integer linear constraints, which effectively improves the model solution efficiency, eliminates conservative nature of conventional robust unit commitment, provides reasonable dispatch basis for decision makers. The disclosure is employed to the stochastic and dynamic unit commitment of the power system including large-scale renewable energy grid-connected.

公开(公告)号：US10222815B2

公开(公告)日：2019-03-05

申请号：US15331876

申请日：2016-10-23

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Boming Zhang ,  Hongbin Sun ,  Weiye Zheng ,  Qinglai Guo ,  Bin Wang

IPC: G06F17/50 ,  G05F1/66 ,  G05B23/02 ,  G06F17/11

Abstract: A method and a device for estimating a state of a power system are provided. The method includes: dividing the power system into a plurality of sub-systems; establishing a first linear model of the power system for a first stage; solving the first linear model by an alternating direction multiplier method to obtain the intermediate state variables of each sub-system; performing a nonlinear transformation at a second stage on the intermediate state variables to obtain intermediate measured values; establishing a second linear model of the power system for a third stage according to the intermediate measured values; and solving the third linear model by the alternating direction multiplier method to obtain the final state variables of each sub-system.

公开(公告)号：US10218176B2

公开(公告)日：2019-02-26

申请号：US15009770

申请日：2016-01-28

Applicant: Tsinghua University ,  ELECTRIC POWER RESEARCH INSTITUTE OF GUANGDONG POWER GRID CO., LTD.

Inventor： Qinglai Guo ,  Hongbin Sun ,  Boming Zhang ,  Wenchuan Wu ,  Huaichang Ge ,  Mingye Zhang ,  Yongwang Zhang ,  Wei Zhao ,  Guoying Lin

IPC: H02J4/00 ,  H02J3/14 ,  B60L11/18

Abstract: A method and a device for controlling a local voltage are provided. The method includes: obtaining a first voltage value of a high-voltage side bus in a local transformer substation; determining a control strategy according to a starting threshold value for a voltage enhancement control, a starting threshold value for an under-voltage load shedding and the first voltage value of the high-voltage side bus; and performing the control strategy to control a charging power of an electric vehicle charging station corresponding to the local transformer substation, so as to control the local voltage of the local transformer substation.

公开(公告)号：US09625929B2

公开(公告)日：2017-04-18

申请号：US14292022

申请日：2014-05-30

Applicant: Tsinghua University ,  Guizhou Power Grid Information & Telecommunication Co., Ltd.

Inventor： Wenchuan Wu ,  Boming Zhang ,  Qing Zou ,  Hongbin Sun ,  Fei Li ,  Qinglai Guo ,  Yi Liu ,  Yajing Gao ,  Hongjia Miao ,  Yuan Ji

IPC: G06F7/32 ,  G05F1/66 ,  G01R19/25 ,  G01R27/02 ,  G01R31/02

CPC classification number: G05F1/66 ,  G01R19/2513 ,  G01R27/02 ,  G01R31/027

Abstract: A method for obtaining a three-phase power flow of a power distribution network and a device for obtaining a three-phase power flow of a power distribution network are provided. The method includes steps of: selecting a three-phase power transformer in the power distribution network and configuring a secondary side of the three-phase power transformer with an ungrounded neutral connection, such that the three-phase power transformer satisfies a preset voltage-current relationship; adding a constraint condition to the preset voltage-current relationship to correct a three-phase admittance matrix of the three-phase power transformer; and applying the three-phase admittance matrix to a preset algorithm to obtain a three-phase power flow of the power distribution network.

公开(公告)号：US09573477B2

公开(公告)日：2017-02-21

申请号：US14461339

申请日：2014-08-15

Applicant: Tsinghua University

Inventor： Hongbin Sun ,  Qinglai Guo ,  Boming Zhang ,  Wenchuan Wu ,  Zhengshuo Li ,  Shujun Xin

IPC: H02J7/00 ,  B60L11/18

CPC classification number: B60L11/1816 ,  B60L11/1844 ,  B60L11/1846 ,  B60L11/1861 ,  B60L2240/80 ,  B60L2250/14 ,  B60L2260/50 ,  Y02E60/721 ,  Y02T10/7005 ,  Y02T10/7044 ,  Y02T10/705 ,  Y02T10/7072 ,  Y02T90/121 ,  Y02T90/128 ,  Y02T90/14 ,  Y02T90/163 ,  Y02T90/169 ,  Y04S10/126 ,  Y04S30/14

Abstract: A method and a device for charging an electric vehicle in a power system are provided. The method includes: obtaining a plurality of electric vehicles connected to the power system at a dispatching time, and obtaining a rated charging power and a charging requirement at the dispatching time; determining a charging period corresponding to the plurality of electric vehicles; determining a forecast period, and obtaining a charging requirement, a remaining charging energy capacity and a maximum charging power; establishing a charging model of the plurality of electric vehicles, establishing a first constraint of the charging model, and establishing a second constraint of the charging model; and solving the charging model under the first constraint and the second constraint to obtain an optimal charging power of each electric vehicle at each charging time in the charging period so as to charge each electric vehicle under the optimal charging power.

Abstract translation: 提供了一种用于为电力系统中的电动车辆充电的方法和装置。 该方法包括：在调度时间内获得连接到电力系统的多个电动车辆，并在调度时获得额定充电电力和充电要求; 确定对应于所述多个电动车辆的充电时段; 确定预测期间，获得充电要求，剩余充电能量容量和最大充电功率; 建立多个电动车辆的充电模型，建立充电模型的第一约束，建立充电模型的第二约束; 并且在第一约束和第二约束条件下解决计费模型，以在充电期间的每个充电时间获得每个电动车辆的最佳充电功率，以便以最佳充电功率对每个电动车充电。