State Grid Corporation of China

Gansu Electric Power Corporation Wind Power Technology Center

Nr Electric Co., Ltd

Southeast University

Nr Engineering Co., Ltd

State Grid Jiangsu Electric Power Company

State Grid Jiangsu Electric Power Company Research Institute

State Grid Gansu Eletric Power Corporation

State Grid Gansu Electric Power Corporation

North China Electric Power University

Nr Electric Engineering Co., Ltd.

Qiang Zhou

Long Zhao

Ningbo Wang

Yanhong Ma

Jin Li

Dan Jin

Bin Yang

Kun Ding

Shiyuan Zhou

Jifeng Wen

Tianen Zhao

Guanghua Li

Wenying Liu

Gang Chen

Liang Lu

Ming Ma

Feng Wang

Jijun Yin

Xiao Chen

Shihai Yang

Qifeng Huang

Shuangshuang Zhao

Zhixin Li

Hongjun Chen

Rong Huang

Qingquan Lv

Jianmei Zhang

Peng Xu

Dingmei Wang

Jiaming Wang

Cai Liang

Rundong Ge

Haowei Zhang

Mingfeng Xue

Lingying Huang

Qingshan Xu

Minrui Xu

Wenguang Chen

Shufeng Lu

Dongfang Xu

Dewen Li

Guangtu Liu

Wei Liu

Yong Chen

Xiang Li

Zhenyu Chen

Haifeng Li

Xiao Lu

Yan Li

Lin Liu

Yaohong Li

Lei Zhou

Tao Yuan

Yefeng Jiang

Yadong Feng

Ming Yuan

Zhongyi Liu

Yi Ding

Chongru Liu

Dan Wang

Xiaodan Wu

Zilan Zhao

Yucan Zhao

Jing Wen

Yalong Li

Jinping Zhang

Xiaoyong Wang

Hongquan Xu

Xushan Han

Shien He

Yuhong Zhang

Duo Wang

Kejin Liu

Zongguang Xu

Feng Ye

Jiuhu Li

Zuofeng Li

Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

User side load response method based on adjustment and control on temperature of load clusters

Disclosed by the present invention are a running method for an embedded type virtual device and a system, an embedded type device being divided into a managing process, a plurality of real-time modules and a plurality of non-real-time modules. The managing process reading a configuration file, loading real-time and non-real-time module libraries of each processor and completing initialization interaction by means of a virtual controller area network (CAN) bus and first in, first out (FIFO) communication. The managing process starting a real-time thread and serially scheduling real-time task according to a task period setting relation. The managing process starting a plurality of non-real-time threads, calling a period task of a non-real-time module and carrying out parallel communication with a plurality of debugging clients. The real-time modules exchange data with each other by means of a virtual data bus, and the real-time modules exchange data with the non-real-time modules by means of a sharing memory.

Development of embedded type devices and running method for embedded type virtual device and system

Provided is a power grid adjustment method based on a load of a variable frequency air conditioner. The method includes: establishing a mathematical simulation model of a virtual synchronous motor in a variable frequency air conditioner controller; establishing a virtual inertia control segment and a droop control segment of power grid adjustment according to the mathematical simulation model; obtaining a reference value &#x394;&#x3c9; of rotation speed variation of a compressor by the virtual inertia control segment; obtaining a reference value &#x3c9;of rotational angular frequency of the compressor by the droop control segment; and inputting a sum of the reference value &#x3c9;of rotational angular frequency of the compressor and the reference value &#x394;&#x3c9; of rotation speed variation of the compressor into a field-oriented controller (FOC) to control rotation of a motor.

Power grid adjustment method based on loads of variable frequency air conditioner

An apparatus and method for ensuring the reliability of a trip protection of an intelligent substation. The apparatus comprises a main CPU and an auxiliary CPU connected together, and a main FPGA and an auxiliary FPGA connected together. The main FPGA and the auxiliary FPGA are connected to a physical layer of a protection apparatus, and the main CPU and the auxiliary CPU are connected to a state monitoring data output end of a protected device. The main CPU sends a processing result to the main FPGA, the auxiliary CPU sends the processing result to the auxiliary FPGA, and the auxiliary FPGA synchronizes current information with the main FPGA after receiving information sent by the auxiliary CPU. When the main FPGA receives trip information, the main FPGA comparing the consistency of current trip information obtained from the main CPU with current trip information obtained from the auxiliary FPGA.

Apparatus and method for ensuring reliability of trip protection of intelligent substation

The present invention discloses a maintenance schedule optimization method for an electric power system including large-scale wind power to build objective function to make it get optimal results, then constrain the objective function, constraint conditions include: constrain according to maintenance natural environment; constrain according to maintenance time of wind power plant; constrain according to maintenance site of wind power plant; constrain according to system reliability at wind power plant; constrain according to maintenance continuity of generator unit. Under the above constraint conditions, the electric power system is modeled with heuristic algorithm according to the above objective function. Through modeling the electric power system including large-scale wind power, optimize maintenance time of wind turbines in electric power system through modeling under a certain constraint conditions to maintain the wind power equipment properly while ensuring maximum efficiency of wind power generation at the same time.

Maintenance schedule optimization method for electric power system including large-scale wind power

A signal name based method for automatic signal exchange between multiple embedded CPU boards, includes: dividing CPU boards into master board and slave board, where each slave board sends signal registration information to the master board; reading an exchange relationship between an output signal and an input signal that is represented by a connection line between signal names, calculating and allocating a data bus address to which the output signal and the input signal are mapped, and sending memory addresses, data types, and bus addresses of signals to each slave board; saving these as output signal tables and input signal tables; and writing, by a signal sender, a value of an output signal into a corresponding bus address according to the output signal tables, and reading, by a receiver, a value of an input signal from a corresponding bus address according to the input signal tables.

Method and apparatus for automatic signal exchange between multiple embedded CPU boards

The present invention discloses a testing method for dynamic model parameters of a wind power plant, wherein under testing conditions including stable running of wind turbine generators and reactive-load compensation equipment, stable wind speed between a cut-in wind speed and a rated wind speed, and the wind power plant output smaller than a rated output, finishes a wind speed transient disturbance test, a wind power plant unit tripping and inputting disturbance test, a wind power plant power change test, a disturbance test for reactive-load compensation equipment of the wind power plant, a tripping disturbance test for hydroelectric power plant and thermal power plant near the wind power plant and a manual single-phase ground short circuit test at the outgoing line part of the wind power plant, and records running curves of the wind power plant under each condition to finish the parameter test. The present invention realizes the advantage of providing precise measurement data for the stability analysis of an electric power system and the production dispatching of a power grid.

Method for testing dynamic model parameters of wind power plant

The present invention has disclosed an optimal control method for reactive voltage of wind power and photovoltaic power centralized grid connection in the field of wind power and photovoltaic power grid connection control technology, comprising: setting actuating stations used to control single wind power plant/photovoltaic power plant, setting substations used to control actuating stations and set master station used to control all the substations; master station calculates setting voltage reference Uof each substation; adopting 3&#x3c3; method to process set voltage reference Uto obtain set voltage reference interval; regulating high-side voltage of substation to make it fall in set voltage reference interval; if high-side voltage of substation does not fall in set voltage reference interval, then regulating the equipment in wind power plant/photovoltaic power plant via actuating station. The present invention guides the actual operations of electric power system.

Optimal control method for reactive voltage of wind power and photovoltaic power centralized grid connection

A method for improving system small disturbance stability after double-fed unit gets access to the system belongs to the field of electric power system operation and control technology. A sensitivity analysis is adopted to optimize parameter, through making sensitivity analysis on the non-ideal dominant mode happens to the system to find out several nonzero elements that are most sensitive to this mode in system matrix; elements of state matrix is adopted to replace the elements of system matrix to make analysis so as to find out the most relevant parameter set; setting parameters change in the interval to observe track for the change of eigenvalues of corresponding mode and then balancing and optimizing system parameters comprehensively according to the change of eigenvalues. Without adding other control means, the present invention can improve dominant modal damping caused by selecting improper controller parameters or system parameters after double-fed unit gets access to the system without increasing cost; as this method is also highly targeted, exhaustive efforts for all the adjustable parameters of the system can be avoided, which not only greatly decreases workload, but also improves computational efficiency, so that it is very instructive.

Method for improving small disturbance stability after double-fed unit gets access to the system

The present invention has disclosed a wind power bundling control method after wind power and thermal power are connected to a power grid in the field of electric power system security technology, including regulating wind power output and thermal power output forward or backward; calculating the transient stability margin of the grid, load level index of element and voltage out-of-limit index of busbar after regulating wind power output and thermal power output respectively; calculating wind power/thermal power paying value according to the transient stability margin of the grid, load level index of element and voltage out-of-limit index of busbar after regulating wind power output and thermal power output; if wind power/thermal power paying value is larger than set threshold value, regulating wind power output and thermal power output backward/forward; if wind power/thermal power paying value is smaller than set threshold value, regulating wind power output and thermal power output forward/backward. The present invention provides a wind power bundling control method after wind power and thermal power are connected to the power grid to ensure reasonable output of wind power and thermal power, so as to guarantee the power grid operates normally.

Wind power bundling control method after wind power and thermal power are connected to grid

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Jiangsu, China

Qiang Zhou