Abstract:
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.
Abstract:
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 comprises 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 comprising 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.
Abstract:
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.
Abstract:
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.
Abstract:
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.
Abstract:
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.