Tsinghua University

State Grid Corporation of China

State Grid Jibei Electric Power Company Limited

Electric Power Research Institute of Guangdong Power Grid Co., Ltd.

State Grid Beijing Electric Power Company

State Grid Fujian Electric Power Research Institute

State Grid Jilinsheng Electric Power Supply Company

Guizhou Power Grid Information & Telecommunication Co., Ltd.

Qinglai Guo

Hongbin Sun

Wenchuan Wu

Bin Wang

Boming Zhang

Chenhui Lin

Zihao Li

Mingye Zhang

Zhaoguang Pan

Haitao Liu

Zhengshuo Li

Tongtian Sheng

Shujun Xin

Huaichang Ge

Guannan Wang

Guanxiong Yin

Yanling Du

Haotian Liu

Shuwei Xu

Qi Wang

Tian Xia

Yue Yang

Mingjie Li

Yuwei Chen

Fengda Xu

Luo Xu

Jun Zhang

Fei Fei Li

Xin Chen

Lei Tang

Zhigang Li

Yi Liu

Wei Zhao

Jian Lan

Binbin Chen

Yong Sun

Bin Chen

Siyuan Wang

Zizhen Guo

Zhongguan Wang

Zhuang Tian

Weiye Zheng

Yongwang Zhang

Guoying Lin

Tao Niu

Xuran Wang

Hongquan Ji

Yuntao Ju

Qing Zou

Xijuan Yu

Yajing Gao

Hongjia Miao

Yuan Ji

Mang Jiang

Qingxin Li

Weimin Sun

Jinni Dong

Nianfeng Tian

Jianye Huang

Zhengcheng Wang

Zongda Mu

Siyun Li

Mengjie Liu

Yujie Sheng

Ziang Liu

Yanzhen Zhou

An optimal scheduling method of an electricity-heat multi-energy flow system based on a heat supply phasor model is provided. The method considers a mutual influence of the electricity-heat system, establishes a constraint equation of a heat supply system in a phasor form, considers dynamic characteristics of the heat supply system, and realizes an optimal scheduling of the electricity-heat multi-energy flow system.

Optimal scheduling method for electricity-heat multi-energy flow system based on heat supply phasor model

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.

Full-distributed reactive voltage control method and device, and storage medium

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.

Data-driven wind farm frequency control method based on dynamic mode decomposition

A method for aggregating a group of EVs based on EV flexibility includes: obtaining a prediction result on a fast charging demand of each EV based on a preset model; determining a distribution area of each substation involved in an EV activity range as an aggregation area; establishing an aggregation model based on the EV fast charging demand, in which the aggregation model includes energy balance equations and various constraints; obtaining an EV fast charging load power curve and an EV energy curve of each aggregation area based on the aggregation model; determining upper and lower limits of multiple EV fast charging load power curves as a flexibility range for the EV fast charging load power, and determining upper and lower limits of multiple EV energy curves as a flexibility range for the EV energy; and aggregating a group of EVs based on the above flexibility ranges.

Method for aggregating group of electric vehicles based on electric vehicle flexibility, electronic device, and storage medium

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.

Method for multi-time scale voltage quality control based on reinforcement learning in a power distribution network

A planning method for a power distribution automation system based on a reliability constraint is provided. The method includes: defining installation states of components and principles of a fault isolation, a load transfer and a fault recovery after a branch fault occurs; establishing a reliability evaluation optimization model for a power distribution network based on a mixed integer linear programming, the reliability evaluation optimization model comprising a target function and constraint conditions; solving the reliability evaluation optimization model to obtain an optimum planning scheme; and planning the power distribution automation system based on the optimum planning scheme.

Method distribution automation system considering reliability constraints

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.

Method of accessing dynamic flexibility for virtual power plant

An online voltage control method for coordinating multi-type reactive power resources is provided. First, a linearized power flow equation of branch reactive power is established, and an online voltage control model of multi-type reactive power resources including an objective function and constraint conditions is constructed. The constraint conditions includes generator reactive power constraints, reactive power compensator constraints, transformer tap position constraints, a nodal reactive power balance constraint, and slack contained nodal voltage constraints. Then, an optimization result of voltage control is obtained by solving the model. The method makes full use of reactive voltage operation characteristics of a power grid, constructs a practical online solution model for reactive voltage control of large power grid of coordinating multiple reactive power resources, and under a condition of acceptable accuracy loss, takes in account safety of power grid operation, economy of reactive power resource actions and high reliability of online operation.

Online voltage control method for coordinating multi-type reactive power resources using reactive voltage operation characteristics of power grids

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.

Method for optimizing transformation of automation equipment in a power distribution network based on reliability constraints

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.

Method, apparatus, and storage medium for controlling heating system

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.

Transient stability assessment method for an electric power system

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.

Power distribution network reliability index calculation method and apparatus based on mixed integer linear programming, and medium

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.

Method for dynamic state estimation of natural gas network considering dynamic characteristics of natural gas pipelines

The present disclosure provides a stability criterion for time-delay of cyber-physical power systems under distributed control, which relates to a field of cyber-physical power systems technologies. The method first establishes an cyber side model of the cyber-physical power systems under distributed control and a physical power grid model of the cyber-physical power systems under distributed control respectively; then establishes simultaneous equations of the cyber side model and the physical power grid model to establish an unified differential algebraic equation model of the cyber-physical power systems under distributed control, so as to obtain a time-delay characteristic equation expression of the cyber-physical power systems under distributed control; determines a time-delay of each node, and solving the time-delay characteristic equation expression to obtain a maximum characteristic root, and performing the stability criterion for the time-delay of the cyber-physical power systems under distributed control according to a real part of the maximum characteristic root.

Stability criterion for time-delay of cyber-physical power systems under distributed control

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.

Method for planning distribution network with reliability constraints based on feeder corridor

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Beijing, China

Qinglai Guo