Northeastern University

Other

Huaguang Zhang

Qiuye Sun

Zhenwei Liu

Tieyan Zhang

Xiangping Meng

Qingqi Zhao

Jianguo Zhou

Jun Yang

Dazhong Ma

Yan Zhao

Xinrui Liu

Jing Guo

Dongsheng Yang

Zhiliang Wang

Yingchun Wang

Gang Wang

Yanhong Luo

Bonan Huang

Zhanshan Wang

Jian Feng

Guotao Hui

Fei Teng

Bin Jiang

Le Li

Bowen Zhou

Xintong Li

Zhiqiang He

Yang Jiao

Rijiang Wang

Guangru Zhang

Xue Liang

Feiye Wu

Jie Bai

Zhenao Sun

Xueqing Ni

Daqian Wang

Shuowei Jin

Yushuai Li

Junsheng Liang

Jin Cui

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

The present invention relates to an energy resource-grid-load automatic control system of smart microgrid and control methods thereof, which belong to the field of microgrid control and electrical technology. The energy resource-grid-load automatic control system includes a distributed renewable energy power generation module, a distributed renewable energy inverter module, a conventional power generation module, a user load module, a bidirectional grid-connected control module, a distributed renewable energy intelligent optimizing power generation control module, an energy storage module, an intelligent energy storage unit adjuster and a storage battery pack. Compared with the conventional microgrid including a distributed renewable energy power generation system, the present invention guarantees the stability and the high energy utilization of the power generation system and effectively solves the problem of non-uniform frequency of use of storage batteries to unify the service life of the storage battery pack.

Energy resource-grid-load automatic control system of smart microgrid and control methods thereof

An H-bridge micro inverter grid-connected device is invented to solve the problem that failure of any photovoltaic panel on the existing solar photovoltaic system cascade can cause efficiency reduction of the whole photovoltaic panel module. The H-bridge micro inverter grid-connected device comprises a single-chip microcomputer controller, a CPLD controller, a MOSFET full-bridge circuit, a high-frequency transformer, a half-bridge rectifying circuit, an SCR full-bridge circuit and a filter circuit, wherein the MOSFET full-bridge circuit is in the full-bridge type, the high-frequency transformer is a single-phase transformer with a central tap, and the SCR full-bridge circuit is applied. The integral structure above is characterized by the decreasing number of components, the reduction of power switches, and the simplification of the control circuits and driving circuits, so as to decrease the number of full-control switch components, improve the system reliability and reduce the system costs.

H-bridge micro inverter grid-connected device

An automatic three-phase unbalanced load compensation experimental device includes an automatic compensation device, a load simulation part, and detection, display and control parts. The automatic compensation device includes power capacitors and intelligent grouping compound switches. The detection, display and control part includes a plurality of current transformers, molded case circuit breakers, a three-phase digital display ammeter, a three-phase electric power monitoring instrument, a protocol conversion module, RS-485 buses, Ethernet cables and an upper computer. The load simulation part includes phase A, B and C loads which are in star connection and are same in component and circuit connection, an analog output module and a relay output module. A power monitoring instrument and digital ammeter are connected to the grid by circuit breaker and the plurality of current transformers. The automatic compensation device and load simulation part are connected to the grid in parallel.

Automatic three-phase unbalanced load compensation experimental device and its control method

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Shenyang, China

Xinrui Liu