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。

公开(公告)号：US20150088470A1

公开(公告)日：2015-03-26

申请号：US14143474

申请日：2013-12-30

Applicant: Tsinghua University

Inventor： Wenchuan Wu ,  Boming Zhang ,  Hongbin Sun ,  Zhigang Li ,  Qinglai Guo

IPC: G06F17/50

CPC classification number: G06Q50/06 ,  G06F17/11

Abstract: A method and a device for identifying a feasibility of a transmission interface constraint in an online rolling dispatching are provided. The method comprises: S1, establishing an online rolling dispatching model including a transmission interface constraint; S2, establishing a Lagrangian relaxation dual problem of the online rolling dispatching model; and S3, identifying a feasibility of the transmission interface constraint by solving the Lagrangian relaxation dual proble

Abstract translation: 提供了一种用于在线滚动调度中识别传输接口约束的可行性的方法和装置。 该方法包括：S1，建立包含传输接口约束的在线滚动调度模型; S2，建立了在线滚动调度模型的拉格朗日松弛双重问题; 和S3，通过解决拉格朗日松弛双重问题来识别传输接口约束的可行性

公开(公告)号：US20140172298A1

公开(公告)日：2014-06-19

申请号：US14109431

申请日：2013-12-17

Applicant: Tsinghua University

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

IPC: G01C21/34

CPC classification number: G01C21/3469 ,  B60L11/1824 ,  B60L11/1838 ,  B60L11/1861 ,  B60L2240/622 ,  B60L2240/68 ,  B60L2240/70 ,  B60L2240/72 ,  B60L2240/80 ,  B60L2260/52 ,  B60L2260/54 ,  Y02T10/7005 ,  Y02T10/7044 ,  Y02T10/705 ,  Y02T10/7072 ,  Y02T10/7291 ,  Y02T90/121 ,  Y02T90/128 ,  Y02T90/14 ,  Y02T90/16 ,  Y02T90/161 ,  Y02T90/162 ,  Y02T90/163

Abstract: A method and a device for navigating an electric vehicle in charging are provided. The method comprises: S1, obtaining a navigation area, wherein the navigation area comprises a plurality of charging stations; S2, receiving a charging request from an electric vehicle in the navigation area; S3, obtaining a plurality of first time periods according to the electric vehicle and the plurality of charging stations; S4, selecting a minimum first time period from the plurality of first time periods; and S5, navigating the electric vehicle to a charging station corresponding to the minimum first time period.

Abstract translation: 提供了一种用于在充电中导航电动车辆的方法和装置。 该方法包括：S1，获得导航区域，其中导航区域包括多个充电站; S2，在导航区域中接收来自电动车辆的收费请求; S3，根据电动车辆和多个充电站获得多个第一时间段; S4，从多个第一时间段中选择最小的第一时间段; 和S5，将电动车辆导航到对应于最小第一时间段的充电站。

公开(公告)号：US12136817B2

公开(公告)日：2024-11-05

申请号：US17446642

申请日：2021-09-01

Applicant: TSINGHUA UNIVERSITY

Inventor： Wenchuan Wu ,  Siyuan Wang ,  Hongbin Sun ,  Bin Wang ,  Qinglai Guo

IPC: H02J3/28 ,  G06F17/11 ,  H02J3/38

Abstract: The present invention relates to a method of assessing dynamic flexibility for a virtual power plant, which belongs to the technical field of operating and controlling a power system. The method equals a virtual power plant to an equivalent energy storage device and an equivalent generator and decouples a network constraint condition between the two types of devices through a Robust optimization method. Subsequently, by using a two-stage Robust optimization algorithm, parameters of the equivalent energy storage device and the equivalent generator are calculated and finally accurate depiction is realized on adjusting ability of a distributed resource, so as to provide a scientific decision basis for the virtual power plant to participate in grid control, such that it has a great value in an actual application.

公开(公告)号：US11689021B2

公开(公告)日：2023-06-27

申请号：US17025154

申请日：2020-09-18

Applicant: TSINGHUA UNIVERSITY

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

IPC: H02J3/18 ,  G06F30/20

CPC classification number: H02J3/18 ,  G06F30/20 ,  H02J2203/20

Abstract: A power grid reactive voltage control model training method. The method comprises: establishing a power grid simulation model; establishing a reactive voltage optimization model, according to a power grid reactive voltage control target; building interactive training environment based on Adversarial Markov Decision Process, in combination with the power grid simulation model and the reactive voltage optimization model; training the power grid reactive voltage control model through a joint adversarial training algorithm; and transferring the trained power grid reactive voltage control model to an online system. The power grid reactive voltage control model trained by using the method according to the present disclosure has transferability as compared with the traditional method, and may be directly used for online power grid reactive voltage control.