公开(公告)号：US20210365619A1

公开(公告)日：2021-11-25

申请号：US17322912

申请日：2021-05-18

Applicant: TSINGHUA UNIVERSITY

Inventor： Hongbin Sun ,  Qinglai Guo ,  Bin Wang ,  Guanxiong Yin ,  Zhaoguang Pan ,  Binbin Chen

IPC: G06F30/28 ,  G06F17/16

Abstract: Provided is a method for a dynamic state estimation of a natural gas network considering dynamic characteristics of natural gas pipelines. The method can obtain a result of the dynamic state estimation of the natural gas network by establishing an objective function of the dynamic state estimation of the natural gas network, a state quantity constraint of a compressor, a state quantity constraint of the natural gas pipeline and a topological constraint of the natural gas network, and using a Lagrange method or an interior point method to solve a state estimation model of the natural gas network. The method takes the topological constraint of the natural gas network into consideration, and employs a pipeline pressure constraint in a frequency domain to implement linearization of the pipeline pressure constraint, thereby obtain a real-time, reliable, consistent and complete dynamic operating state of the natural gas network.

公开(公告)号：US20210356923A1

公开(公告)日：2021-11-18

申请号：US17026364

申请日：2020-09-21

Applicant: TSINGHUA UNIVERSITY

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

IPC: G05B19/042 ,  G06N20/00

Abstract: A power grid reactive voltage control method and control system based on two-stage deep reinforcement learning, comprising steps of: building interactive training environment based on Markov decision process, according to a regional power grid simulation model and a reactive voltage optimization model; training a reactive voltage control model offline by using a SAC algorithm, in the interactive training environment based on Markov decision process; deploying the reactive voltage control model to a regional power grid online system; and acquiring operating state information of the regional power grid, updating the reactive voltage control model, and generating an optimal reactive voltage control policy. As compared with the existing power grid optimizing method based on reinforcement learning, the online control training according to the present disclosure has costs and safety hazards greatly reduced, and is more suitable for deployment in an actual power system.

公开(公告)号：US10291027B2

公开(公告)日：2019-05-14

申请号：US15015225

申请日：2016-02-04

Applicant: Tsinghua University

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

IPC: H02J3/38 ,  G05B17/02 ,  H02J3/06 ,  H02J3/16 ,  H02J3/48 ,  H02J3/50 ,  G05F1/66 ,  H02J3/18 ,  H02J3/00

Abstract: The present disclosure provides a method and a device for controlling an active distribution network, relating to the field of power system operation and control technology. The method includes: creating a power loss objective function; determining first power flow equations; obtaining second power flow equations by performing linearization on the first power flow equations; determining a sub-scale adjustment model of a transformer; obtaining a linearized model of the transformer by performing linearization on the sub-scale adjustment model; obtaining control parameters by solving the power loss objective function according to the second power flow equations, the linearized model of the transformer, an operation constraint of the continuous reactive power compensator, an operation constraint of the grouping switching capacitor, an operation constraint of the distributed generator and a safety operation constraint in the active distribution network, such that the active distribution network is controlled by the obtained parameters to minimize power loss.

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：US12294218B2

公开(公告)日：2025-05-06

申请号：US18188553

申请日：2023-03-23

Applicant: TSINGHUA UNIVERSITY

Inventor： Wenchuan Wu ,  Siyun Li ,  Bin Wang ,  Hongbin Sun ,  Qinglai Guo

IPC: H02J3/18 ,  G06F113/04

Abstract: A fully-distributed reactive voltage control method, includes: establishing a power grid reactive voltage optimization model of a power grid; parting the power grid reactive voltage optimization model into a plurality of area reactive voltage optimization models of a plurality of areas of the power grid; converting a power flow equation constraint in each of the plurality of area reactive voltage optimization models to a linear regression model; solving the linear regression model by using a robust recursive regression algorithm to obtain a solution result of the linear regression model; solving each of the plurality of area reactive voltage optimization models by using the solution result of the linear regression model, a gradient projection algorithm, and an alternating direction multiplier algorithm, so as to realize a reactive voltage optimization control of each of the plurality of areas.

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.