Patents by Inventor Qinglai Guo

Qinglai Guo has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220195986
    Abstract: A data-driven wind farm frequency control method based on dynamic mode decomposition. The method enables a low-dimension nonlinear dynamic feature of a wind power system to perform global capturing in a high-dimension space through a state transition matrix given by a Koopman operator theory, thus fewer data samples are necessary while control requirements are satisfied with respect to a model fitting accuracy. Meanwhile, a pure linear feature of a control model also provides a favorable foundation for fast on-line dynamic response, thereby satisfying response accuracy and speed requirements simultaneously in an actual control step.
    Type: Application
    Filed: September 1, 2021
    Publication date: June 23, 2022
    Inventors: Wenchuan WU, Zizhen GUO, Hongbin SUN, Bin WANG, Qinglai GUO
  • Publication number: 20220173593
    Abstract: 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.
    Type: Application
    Filed: September 1, 2021
    Publication date: June 2, 2022
    Inventors: Wenchuan WU, Siyuan WANG, Hongbin SUN, Bin WANG, Qinglai GUO
  • Patent number: 11342753
    Abstract: The present disclosure provides a scheduling method for a power system based on flexible HVDC (high-voltage direct current) and a pumped storage power station, which belongs to a field of power system control technologies. The method is applicable in a power system having a flexible HVDC system and a pumped storage power station. By establishing a scheduling model for the power system, which contains an objective function and multiple constraints, and solving the scheduling model, a capability of the pumped storage power station is used to adjust the unstable output of the renewable energy power generator and stabilize fluctuant of the renewable energy power generation, such that a power incoming into a load center presents a stable ladder pattern and an optimal scheduling scheme can be obtained.
    Type: Grant
    Filed: September 23, 2020
    Date of Patent: May 24, 2022
    Assignees: TSINGHUA UNIVERSITY, STATE GRID JIBEI ELECTRIC POWER COMPANY, STATE GRID CORPORATION OF CHINA
    Inventors: Bin Wang, Yanling Du, Wenchuan Wu, Haitao Liu, Hongbin Sun, Weimin Sun, Zongda Mu, Chenhui Lin, Qinglai Guo
  • Patent number: 11306923
    Abstract: An intra-day rolling scheduling method for an integrated heat and electricity system including: establishing an objective function for scheduling of the integrated heat and electricity system, the objective function aiming to make operating costs of the integrated heat and electricity system to be a minimum; establishing constraints for a steady-state safe operation of the integrated heat and electricity system; and solving the objective function based on the constraints by an interior point method, to obtain an active power and a heating power of each combined heat and power unit, an active power of each thermal power unit, a heating power of each heat pump, and an active power consumed by each circulating pump.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: April 19, 2022
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Hongbin Sun, Qinglai Guo, Bin Wang, Yuwei Chen
  • Publication number: 20220114507
    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 cir
    Type: Application
    Filed: December 19, 2021
    Publication date: April 14, 2022
    Inventors: Wenchuan WU, Boming ZHANG, Zihao LI, Hongbin SUN, Bin WANG, Qinglai GUO
  • Patent number: 11262713
    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.
    Type: Grant
    Filed: April 7, 2020
    Date of Patent: March 1, 2022
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Hongbin Sun, Qinglai Guo, Bin Wang, Zhaoguang Pan
  • Publication number: 20220060028
    Abstract: The disclosure provides a method for calculating a parameter changing domain of loads under a case that guarantees a constant locational marginal price in an electricity market, which relates to the electricity market field of the power system. With the method in the disclosure, the clearing model on the locational marginal price in the general form is established, and the safe changing domain of the locational marginal price with respect to the loads may be derived and calculated based on the first-order KKT condition expansion of the clearing model on the locational marginal price in the general form. The method may quickly calculate the parameter changing domain of different nodal loads under the condition of a clear base state in the current power market. When the increment of the nodal loads is subordinate to the changing domain, the locational marginal price may remain unchanged.
    Type: Application
    Filed: May 24, 2021
    Publication date: February 24, 2022
    Inventors: Qinglai GUO, Hongbin SUN, Nianfeng TIAN, Wenchuan WU, Bin CHEN, Jianye HUANG
  • Publication number: 20220037883
    Abstract: The disclosure provides power distribution network reliability index calculation method based on mixed integer linear programming. The method includes: establishing a model for optimizing reliability indexes of a power distribution network based on a mixed integer linear programming model, wherein the model comprises an objective function and constraint conditions, the objective function is for minimizing a system average interruption duration index (SAIDI); solving the model based on the objective function and the constraint conditions to obtain reliability indexes of the power distribution network; and controlling operation of the power distribution network based on the reliability indexes.
    Type: Application
    Filed: October 13, 2021
    Publication date: February 3, 2022
    Inventors: Wenchuan WU, Boming ZHANG, Zihao LI, Hongbin SUN, Bin WANG, Qinglai GUO
  • Patent number: 11239658
    Abstract: The present disclosure provides a dispatching method and a dispatching device for an integrated transmission and distribution network. The integrated transmission and distribution network include a transmission network and at least one distribution network. The method includes: establishing a dispatch model of the integrated transmission and distribution network; solving the dispatch model to obtain dynamic dispatch parameters for the integrated transmission and distribution network, in which the dynamic dispatch parameters comprise a boundary transferred power from the transmission network to each of the at least one distribution network, and power outputs of all generators in the transmission network and each of the at least one distribution network; and dispatching the integrated transmission and distribution network based on the boundary transferred power and the power outputs of all the generators in the transmission network and each of the at least one distribution network.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: February 1, 2022
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Wenchuan Wu, Bin Wang, Chenhui Lin, Boming Zhang, Hongbin Sun, Qinglai Guo
  • Patent number: 11228179
    Abstract: The present disclosure proposes a decomposition-coordination voltage control method for wind power to be transmitted to a nearby area via flexible DC. The method includes: initializing parameters; sending the parameters to wind power farms; for each of the wind power farms, establishing a voltage control optimization sub-model; solving the voltage control optimization sub-model to obtain a first optimal result; for the control center, establishing a voltage control optimization main model; solving the voltage control optimization main model to obtain a second optimal result; calculating a determination index based on the first optimal result and the second optimal result; and determining whether the determination index is convergent to an admissible value, if no, updating the parameters and returning to establishing the voltage control optimization sub-model.
    Type: Grant
    Filed: April 14, 2020
    Date of Patent: January 18, 2022
    Assignees: TSINGHUA UNIVERSITY, STATE GRID BEIJING ELECTRIC POWER COMPANY, STATE GRID JIBEI ELECTRIC POWER COMPANY
    Inventors: Bin Wang, Hongquan Ji, Yanling Du, Qinglai Guo, Xijuan Yu, Haitao Liu, Hongbin Sun, Guannan Wang, Mang Jiang, Huaichang Ge, Wenchuan Wu
  • Publication number: 20220006292
    Abstract: A power system dispatching method considering voltage sensitive load reserve is provided, with which a power system dispatching model constituted by a ground state operating point model of the power system, an evaluation model of the voltage sensitive load regulation range and an optimization objective of power system dispatch is established, by solving the power system dispatching model, a power system dispatching solution considering voltage sensitive load reserve is obtained.
    Type: Application
    Filed: May 27, 2021
    Publication date: January 6, 2022
    Inventors: Bin WANG, Haoran YU, Hongbin SUN, Zijin LI, Qinglai GUO, Cunping WANG, Zhaoguang PAN, Yifan SONG, Xingtao TIAN
  • Patent number: 11204590
    Abstract: A state estimation method for a heat supply network in a steady state based on a bilateral equivalent model is provided. The method includes: establishing the bilateral equivalent model based on a mass flow rate in each supply branch of the heating network, a mass flow rate in each return branch of the heating network, a mass flow rate in each connecting branch of the heating network, a pressure and a temperature of each node in the heating network, wherein each heat source is configured as a connecting branch and each heat load is configured as a connecting branch; and repeatedly performing a state estimation on the heating network based on the bilateral equivalent model, until a coverage state estimation result is acquired.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: December 21, 2021
    Assignee: TSINGHUA UNIVERSITY
    Inventors: Hongbin Sun, Qinglai Guo, Bin Wang, Tongtian Sheng, Boming Zhang, Wenchuan Wu, Mingye Zhang, Jinni Dong
  • Publication number: 20210391722
    Abstract: A reactive power-voltage control method for integrated transmission and distribution networks is provided. The reactive power-voltage control method includes: establishing a reactive power-voltage control model for a power system consisting of a transmission network and a plurality of distribution networks; performing a second order cone relaxation on a non-convex constraint of the plurality of distribution network constraints to obtain the convex-relaxed reactive power-voltage control model; solving the convex-relaxed reactive power-voltage control model to acquire control variables of the transmission network and control variables of each distribution network; and controlling the transmission network based on the control variables of the transmission network and controlling each distribution network based on the control variables of the distribution network, so as to realize coordinated control of the power system.
    Type: Application
    Filed: June 14, 2021
    Publication date: December 16, 2021
    Inventors: Bin WANG, Yanling DU, Wenchuan WU, Haitao LIU, Hongbin SUN, Guannan WANG, Qinglai GUO, Qi WANG, Chenhui LIN
  • Publication number: 20210365619
    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.
    Type: Application
    Filed: May 18, 2021
    Publication date: November 25, 2021
    Inventors: Hongbin Sun, Qinglai Guo, Bin Wang, Guanxiong Yin, Zhaoguang Pan, Binbin Chen
  • Publication number: 20210359517
    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.
    Type: Application
    Filed: September 18, 2020
    Publication date: November 18, 2021
    Inventors: Wenchuan WU, Haotian LIU, Hongbin SUN, Bin WANG, Qinglai GUO, Tian XIA
  • Publication number: 20210356923
    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.
    Type: Application
    Filed: September 21, 2020
    Publication date: November 18, 2021
    Inventors: Wenchuan Wu, Haotian Liu, Hongbin Sun, Bin Wang, Qinglai Guo, Tian Xia
  • Publication number: 20210344196
    Abstract: Provided are method and device for adjusting a power flow based on operation constraints. The method includes: establishing a power flow adjusting model comprising an objective function and constraints; acquiring active power and reactive power of each node by using a two-stage optimization of active and reactive powers. In this method, the power flow adjusting model is divided into the active power optimization sub-model and the reactive power optimization sub-model. The active power optimization sub-model, where the linearized power flow constraint and the tie line section active power constraint are considered, may be regarded as quadratic programming. The reactive power flow optimization sub-model is solved on the basis of the active sub-model, and the AC power flow constraint, the grid voltage range constraint, and the pilot bus voltage setting value constraint are considered.
    Type: Application
    Filed: April 26, 2021
    Publication date: November 4, 2021
    Inventors: Bin WANG, Hongbin SUN, Wenchuan WU, Qinglai GUO, Zongda MU
  • Publication number: 20210334429
    Abstract: The present disclosure provides a method for planning a distribution network with reliability constraints based on a feeder corridor, including determining installation states of respective elements in the distribution network; determining an objective function, the objective function being an objective function of minimizing a total investment cost of the distribution network; obtaining fault-isolation-and-load-transfer time and fault recovery time in a case where the feeder segment of each feeder line that is contained in each feeder corridor fails; determining constraint conditions including reliability constraints; building a distribution network planning model according to the objective function and the constraints; and solving the distribution network planning model built to obtain optimal solutions as planning states and reliability indexes to plan the distribution network.
    Type: Application
    Filed: July 2, 2021
    Publication date: October 28, 2021
    Inventors: Wenchuan WU, Boming ZHANG, Zihao LI, Hongbin SUN, Bin WANG, Qinglai GUO
  • Patent number: 11043818
    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.
    Type: Grant
    Filed: August 16, 2019
    Date of Patent: June 22, 2021
    Assignees: TSINGHUA UNIVERSITY, STATE GRID CORPORATION OF CHINA
    Inventors: Wenchuan Wu, Bin Wang, Mingjie Li, Hongbin Sun, Qinglai Guo, Yue Yang, Shuwei Xu
  • Publication number: 20210141405
    Abstract: The disclosure provides a method, an apparatus, and a storage medium for controlling heating system. The method includes: establishing an objective function and constraints for estimating system parameters of the heating system, in which the heating system includes nodes, pipelines and equivalent branches, the equivalent branch is configured to represent a heating resource or a heating load in the heating system, the system parameters include a resistance coefficient of each of the pipelines and equivalent branches, and a heat dissipation coefficient of each of the pipelines; solving the objective function based on the constraints to obtain the system parameters; modeling the heating system based on the obtained system parameters to obtain control parameters of the heating system; and controlling the heating system based on the control parameters.
    Type: Application
    Filed: January 19, 2021
    Publication date: May 13, 2021
    Inventors: Hongbin SUN, Qinglai GUO, Bin WANG, Guanxiong YIN, Tongtian SHENG, Zhaoguang PAN