公开(公告)号：US10235340B2

公开(公告)日：2019-03-19

申请号：US14858861

申请日：2015-09-18

Applicant: Tsinghua University

Inventor： Hongbin Sun ,  Qinglai Guo ,  Bin Wang ,  Boming Zhang ,  Wenchuan Wu ,  Lei Tang

IPC: H02P9/02 ,  G06F17/10 ,  H02J3/00 ,  H02P9/00

Abstract: A method and apparatus for controlling a reactive power of a generator in a power plant are provided. The method includes: S1, dividing a plurality of power plants into a plurality of plant-plant coordination groups; S2, dividing generators into a first generator and a second generator set; S3, calculating a deviation between a measured voltage and a preset voltage of a central bus; S4, comparing the deviation with a control dead band threshold; S5, establishing a reactive power tracking model if the deviation is greater than the control dead band threshold; S6, establishing a reactive power keeping model; and S7, obtaining sum reactive power adjustments of the generators according to the first reactive power adjustments and the second reactive power adjustments, and obtaining voltage adjustments of buses according to the sum reactive power adjustments.

公开(公告)号：US10001762B2

公开(公告)日：2018-06-19

申请号：US14601390

申请日：2015-01-21

Applicant: Tsinghua University

Inventor： Hongbin Sun ,  Qinglai Guo ,  Bin Wang ,  Boming Zhang ,  Xuran Wang ,  Huaichang Ge ,  Wenchuan Wu

IPC: G05B15/02 ,  H02J3/16

CPC classification number: G05B15/02 ,  H02J3/16 ,  Y02E40/34

Abstract: A voltage control method and apparatus of a central bus in a power system are provided. The method comprises: S1: obtaining a predetermined voltage and a current voltage; S2: obtaining a first voltage adjustment of the generator and a second voltage adjustment of the dynamic reactive power compensation device; S3: sending the first voltage adjustment and the second voltage adjustment; S4: judging whether a current reactive power of the dynamic reactive power compensation device is between a first predetermined reactive power and a second predetermined reactive power; S5: if yes, obtaining a third voltage adjustment of the generator and a fourth voltage adjustment of the dynamic reactive power compensation device; S6: sending the third voltage adjustment and the fourth voltage adjustment; repeating steps S1-S7 after a predetermined period of time; S7: if no, repeating steps S1-S7 after the predetermined period of time.

公开(公告)号：US09886010B2

公开(公告)日：2018-02-06

申请号：US14839943

申请日：2015-08-29

Applicant: Tsinghua University

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

IPC: G05B13/04 ,  H02J3/00 ,  H02J3/18 ,  H02J3/36 ,  F03D7/02 ,  F03D7/04

CPC classification number: G05B13/048 ,  F03D7/028 ,  F03D7/045 ,  H02J3/00 ,  H02J3/18 ,  H02J3/36 ,  H02J2003/003 ,  H02J2003/007 ,  Y02E10/723 ,  Y02E40/30 ,  Y02E60/60 ,  Y02E60/76 ,  Y04S10/54 ,  Y04S40/22

Abstract: The present disclosure relates to a method and an apparatus for controlling a voltage in a near direct current area. The method includes: collecting measured values of parameters as initial values of prediction values of the parameters; inputting the initial values into a preset control model for optimizing a model predictive control; solving the preset control model to obtain a solution sequence of the terminal voltage setting values of the generators participating in the voltage control within a time window; and sending first values in the solution sequence to the generators, such that the voltage control in the near direct current area is realized.

公开(公告)号：US09248755B2

公开(公告)日：2016-02-02

申请号：US14072203

申请日：2013-11-05

Applicant: Tsinghua University

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

IPC: H02J7/00 ,  H02J7/14 ,  H02J7/06 ,  B60L11/18

CPC classification number: B60L11/184 ,  B60L11/1844 ,  Y02E60/721 ,  Y02T10/7005 ,  Y02T10/7072 ,  Y02T90/121 ,  Y02T90/128 ,  Y02T90/14 ,  Y02T90/163 ,  Y02T90/169 ,  Y04S10/126 ,  Y04S30/14

Abstract: Method and system for charging electric vehicles in an aggregation is provided. The method includes: obtaining a plurality of first charge power curves of a plurality of electric vehicles in the aggregation; obtaining a coordinating information of each of the plurality of electric vehicles from the plurality of first charge power curves; obtaining a first feedback charge power curve of each of the plurality of electric vehicles from the coordinating information and a charging cost curve of each of the plurality of electric vehicles; judging whether the first feedback charge power curve is same with the first charge power curve of each of the plurality of electric vehicles; if yes, charging each of the plurality of electric vehicles in accordance with the first charge power curve.

Abstract translation: 提供了一种在聚合中为电动汽车充电的方法和系统。 该方法包括：获得聚合中的多个电动车辆的多个第一充电功率曲线; 从所述多个第一充电功率曲线获取所述多个电动车辆中的每一个的协调信息; 从所述多个电动车辆的协调信息和充电成本曲线获得所述多个电动车辆中的每一个的第一反馈充电功率曲线; 判断所述第一反馈充电功率曲线是否与所述多个电动车辆中的每一个的所述第一充电功率曲线相同; 如果是，则根据第一充电功率曲线对多个电动车辆中的每一个进行充电。

公开(公告)号：US20140046501A1

公开(公告)日：2014-02-13

申请号：US13965332

申请日：2013-08-13

Applicant: Tsinghua University

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

IPC: G05B11/01

CPC classification number: G05B11/01 ,  G06F2217/78 ,  H02J3/16 ,  H02J2003/007 ,  Y02E40/34

Abstract: A security and economy coordinated automatic voltage control method based on a cooperative game theory is provided. The method includes: establishing a multi-objective reactive voltage optimizing model of a power system; resolving the multi-objective reactive voltage optimizing model into an economy model and a security model; solving the economy model and the security model based on the cooperative game theory to obtain the automatic voltage control instruction; and performing an automatic voltage control for the power system according to the automatic voltage control instruction.

Abstract translation: 提供了一种基于合作博弈理论的安全经济协调自动电压控制方法。 该方法包括：建立电力系统的多目标无功电压优化模型; 将多目标无功电压优化模型解决为经济模型和安全模型; 基于合作博弈理论解决经济模型和安全模型，获得自动电压控制指令; 并根据自动电压控制指令对电力系统进行自动电压控制。

公开(公告)号：US12254385B2

公开(公告)日：2025-03-18

申请号：US17389558

申请日：2021-07-30

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Haotian Liu ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: G06N20/00

Abstract: A method for multi-time scale reactive voltage control based on reinforcement learning in a power distribution network is provided, which relates to the field of power system operation and control. The method includes: constituting an optimization model for multi-time scale reactive voltage control in a power distribution network based on a reactive voltage control object of a slow discrete device and a reactive voltage control object of a fast continuous device in the power distribution network; constructing a hierarchical interaction training framework based on a two-layer Markov decision process based on the model; setting a slow agent for the slow discrete device and setting a fast agent for the fast continuous device; and deciding action values of the controlled devices by each agent based on measurement information inputted, so as to realize the multi-time scale reactive voltage control while the slow agent and the fast agent perform continuous online learning.

公开(公告)号：US12124978B2

公开(公告)日：2024-10-22

申请号：US17555498

申请日：2021-12-19

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Boming Zhang ,  Zihao Li ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: G06Q10/04 ,  G05B19/042 ,  G06Q50/06 ,  H02J3/00

CPC classification number: G06Q10/04 ,  G05B19/042 ,  G06Q50/06 ,  H02J3/0012 ,  G05B2219/2639 ,  H02J2203/20

Abstract: The present disclosure provides a method for optimizing transformation of automation equipment in a power distribution network based on reliability, including determining installation states of respective components in the power distribution network and operation criterions for fault isolation, load transfer and fault recovery after a fault occurred in a feeder segment; determining a target function which is a target function for minimizing a total transformation cost of the power distribution network; determining constraint conditions including reliability constraints; establishing an optimization model for evaluating the reliability of the power distribution network based on the reliability constraints in accordance with the target function and the constraints; and solving the established optimization model for evaluating the reliability of the power distribution network based on the reliability constraints to obtain optimal solutions as optimization results of the automation transformation state of the circuit breaker and the switch and the reliability index.

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：US11837871B2

公开(公告)日：2023-12-05

申请号：US17372977

申请日：2021-07-12

Applicant: TSINGHUA UNIVERSITY ,  STATE GRID CORPORATION OF CHINA

Inventor： Wenchuan Wu ,  Yue Yang ,  Bin Wang ,  Mingjie Li

IPC: H02J3/46 ,  H02J3/38 ,  G06Q50/06

CPC classification number: H02J3/466 ,  G06Q50/06 ,  H02J3/381 ,  H02J2203/20 ,  H02J2300/20

Abstract: A method for dispatching a power grid is disclosed. The method includes: obtaining a whole power generation interval scheduled for a cluster of renewable energy stations from a power grid dispatching center; establishing a decomposition model that includes an objection function and constraint conditions; decomposing the whole power generation interval with the decomposition model to obtain each power generation interval of each renewable energy station; and controlling each renewable energy station to generate powers based on each power generation interval. The objection function minimizes a total operating cost in the power grid and includes a renewable energy randomness indicating an actual power generation amount of each renewable energy station. The constraint conditions include a constraint from an installed capacity of each renewable energy station to each power generation interval and a constraint from the whole power generation interval to a sum of power generation intervals of renewable energy stations.

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.