Northeastern University

Yanhong Luo

Jun Yang

Huaguang Zhang

Dongsheng Yang

Zhiliang Wang

Jian Feng

Bonan Huang

Guotao Hui

Gang Wang

Bo Yang

Qiuye Sun

Xinrui Liu

Zhenwei Liu

Nan Wang

Yingchun Wang

Zhanshan Wang

XuanZhe Peng

Jie Bai

Xue Liang

Bowen Zhou

Feiye Wu

Zhenao Sun

Xueqing Ni

Daqian Wang

Shuowei Jin

The invention provides an electric grid state estimation system and method based on a boundary fusion. The system includes an electric grid data acquisition module, a communication module including a local data unit and a state estimation unit, and a data fusion module, wherein the state estimation unit includes a memory storing a state estimation program and a display displaying a program running and outputting a state variable; the state estimation program is performed to realize an electric grid state estimation; the estimation method includes the following steps of dividing a regional electric grid, then establishing a measurement equation for each region, solving an internal quantity and a boundary quantity, fusing the boundary quantities of two regions, correcting the boundary quantity, performing a non-linear transformation on the intermediate variable, solving the estimated values of the state variable by the least square method, and performing outputting.

Electric grid state estimation system and method based on boundary fusion

The invention provides a reactive power optimization system and a method of a power grid based on a double-fish-swarm algorithm. The system includes a power grid state data acquiring module, a reactive power regulating module and a reactive power executing module. The power grid state data acquiring module includes a power grid state data acquiring processor and a relay transmitter. The reactive power regulating module is a control terminal. The reactive power executing module includes generator terminal voltage regulators, transformer tap regulators and reactive power compensation regulators. The method is used for acquiring the initial data to be optimized in the current network; and optimizing the initial data to be optimized in the current network based on a double-fish-swarm algorithm so as to obtain optimal value of control variables in the power grid. According to the method, the distribution network to be optimized can realize reasonable reactive power flow distribution.

Reactive power optimization system and method of power grid based on the double-fish-swarm algorithm

Provided are a bypass type 220V grid voltage sag prevention device and a control method therefor. The bypass type 220V grid voltage sag prevention device comprises an AC-to-DC energy storage unit, a Single Chip Microcomputer (SCM) control and display unit, and an inverter output unit. The AC-to-DC energy storage unit comprises a rectifier circuit, an energy storage control circuit and a quick tank circuit; the SCM control and display unit comprises an SCM, a DC step-down module circuit and an energy storage voltage detecting circuit; and the inverter output unit comprises a high-frequency PWM generating circuit, a high-frequency transformer output circuit, a transformer output full-bridge rectifier circuit, a PWM generating circuit, a PWM driving and full-bridge inverter circuit, a 220V grid zero-cross point detecting circuit, a 220V grid voltage detecting circuit, a 220V grid and inversion AC converting circuit, and a signal interface circuit.

Bypass type 220V grid voltage sag prevention device and control method therefor

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Shenyang, China

Yanhong Luo