Abstract: Provided is an intelligent inversion method for pipeline defects based on heterogeneous field signals.

Abstract: A multiple objective optimization route selection method based on a step ring grid network for a power transmission line is configured to use multiple data for regional classification and to select virtual topological nodes to construct a virtual topology map. An overall route is planed according to the shortest and optimization route selection method. After selecting the virtual topology route, a semi annular domain of a step ring grid map is constructed through the connections of the topological nodes. After the segmentation of the semi-annular domain to form a plurality of grids, the grids are numbered. The grid attributes of the grids are used for optimizing the route. The multiple objective optimization function is constructed according to a distance function, a cost objective function and an angle cornering objective function, in order to collaboratively optimize the transmission line route.

Abstract: The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

Abstract: The present invention relates to an energy router for an energy internet, which comprises a three-phase three-level bi-directional rectifying unit, a six-phase interleaved DC/DC bi-directional conversion unit, a self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, a three-phase resonant soft switching bi-directional inversion unit, a single-phase full-bridge bi-directional inversion unit, a high-voltage DC bus and a low-voltage DC bus. The three-phase three-level bi-directional rectifying unit, the six-phase interleaved DC/DC bi-directional conversion unit, the self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, the three-phase resonant soft switching bi-directional inversion unit and the single-phase full-bridge bi-directional inversion unit each have three energy flow operating modes: a forward conduction, a reverse conduction and a non-conduction.

Abstract: The present invention relates to an energy router for an energy internet, which comprises a three-phase three-level bi-directional rectifying unit, a six-phase interleaved DC/DC bi-directional conversion unit, a self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, a three-phase resonant soft switching bi-directional inversion unit, a single-phase full-bridge bi-directional inversion unit, a high-voltage DC bus and a low-voltage DC bus. The three-phase three-level bi-directional rectifying unit, the six-phase interleaved DC/DC bi-directional conversion unit, the self-excitation soft start push-pull full-bridge DC/DC bi-directional conversion unit, the three-phase resonant soft switching bi-directional inversion unit and the single-phase full-bridge bi-directional inversion unit each have three energy flow operating modes: a forward conduction, a reverse conduction and a non-conduction.

Abstract: The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.

Abstract: Disclosed is a transformer control device and method based on a three-dimensional zone diagram policy. The method includes: setting transformers, including a transformer A and a transformer B; collecting three-phase voltage data and three-phase current data in a power system; rectifying the collected three-phase voltage data and the three-phase current data; transferring the data to the latches in a time-transfer method; transferring the data to an A/D converter of a processor to convert analog signals to digital signals; constructing a three-dimensional zone diagram in the processor; determining transformer operating conditions according to positions of points formed by voltage, reactive power factor and substation load; and adjusting the transformers.

Abstract: 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.

Abstract: Disclosed is a transformer control device and method based on a three-dimensional zone diagram policy. The method includes: setting transformers, including a transformer A and a transformer B; collecting three-phase voltage data and three-phase current data in a power system; rectifying the collected three-phase voltage data and the three-phase current data; transferring the data to the latches in a time-transfer method; transferring the data to an A/D converter of a processor to convert analog signals to digital signals; constructing a three-dimensional zone diagram in the processor; determining transformer operating conditions according to positions of points formed by voltage, reactive power factor and substation load; and adjusting the transformers.

Abstract: Disclosed are an automatic three-phase unbalanced load compensation experimental device and its control method. The experimental device comprises an automatic compensation device, a load simulation part, and detection, display and control parts. The automatic compensation device comprises power capacitors and intelligent grouping compound switches; the detection, display and control part comprises current transformers, molded case circuit breakers, a three-phase digital display ammeter, a three-phase electric power monitoring instrument, a protocol conversion module, 485 buses, Ethernet cables and an upper computer; the load simulation part comprises 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. Power monitoring instrument and digital ammeter are connected to the grid by circuit breaker and current transformer.