13results about How to "Reduce load loss" patented technology

This invention discloses a collaborative optimization method for power supply guarantee of distribution networks before and during floods, comprising: obtaining the water depth change process of each distribution node; introducing drainage vehicles to proactively drain water in advance and dynamically correcting the water depth at the nodes; establishing pre-disaster deployment constraints for drainage vehicles and mobile energy storage vehicles and dynamic scheduling constraints during the disaster; constructing a two-stage collaborative optimization model before and during the disaster, including load reduction, drainage vehicle operation, mobile energy storage vehicle operation, distributed power output, and distribution network power flow and network reconfiguration, and transforming the model into a mixed integer second-order cone programming problem for solution. This invention fully utilizes the process characteristic of "gradual water accumulation" in floods, avoids the shutdown of critical equipment by proactively draining water in advance, and combines mobile energy storage, distributed power sources, and network reconfiguration to achieve collaborative optimization of power supply guarantee of the distribution network throughout the entire process of floods, effectively reducing load loss and shortening the duration of power outages.

The utility model belongs to the technical field of transformers, and discloses a transformer shielding assembly and a transformer. The transformer shielding assembly comprises a clamping structure assembly and a shielding unit, the clamping structure assembly comprises a first pull rod, a second pull rod and at least two clamping pieces, a silicon steel sheet group is placed between the two clamping pieces, the two ends of the first pull rod penetrate through the clamping pieces, and a first fastener is used for locking the first pull rod and the clamping pieces; the two ends of the second pull rod penetrate through the corresponding drawstring bases, and the second fastener is used for locking the second pull rod and the drawstring bases. And the shielding unit is connected with the clamping structure assembly and is used for shielding leakage magnetic flux generated by winding leads of the silicon steel sheet group. According to the utility model, the influence of leakage magnetic flux generated by the lead on the clamping structure assembly of the transformer can be shielded, the temperature rise of the clamping structure assembly is reduced, and the energy-saving operation of the transformer is facilitated.

The invention relates to a temperature measuring module and system for a handcart circuit breaker plum blossom contact, the temperature measuring module comprises a temperature measuring assembly and a plum blossom contact, the temperature measuring assembly comprises a ceramic shell, a temperature measuring chip and a metal bracket, the rear end of a contact finger of the plum blossom contact is lengthened, the lengthened part of the contact finger is used for fixing the temperature measuring assembly, and the temperature measuring chip is used for measuring the temperature of the plum blossom contact. The touch panel of the tulip contact is designed in a manufacturing mode, it is guaranteed that the influence of the temperature measuring module on a high-voltage electric field is minimized, the temperature measuring chip, the metal bracket and the ceramic shell are manufactured through an integrated technology, and the metal bracket extends into the ceramic shell so that temperature measurement can be more accurate; the temperature measurement system comprises a sensor layer, a receiving layer and a user layer, data are sent to the receiving layer from the sensor layer, processed and analyzed by the receiving layer and uploaded to the user layer, so that the user layer analyzes online temperature data in real time and can monitor and give an alarm on real-time temperature.

The application discloses a kind of multi-stage toughness promotion method and terminal of electric heat comprehensive energy system, with minimum load loss as target to establish objective function, in combination with the constraint condition of network topology of electric heat comprehensive energy system in multi-stage, the constraint condition of distribution system operation model, determine the constraint condition of regional heating system operation model, solve the multi-stage toughness promotion scheme of electric heat comprehensive energy system, realize the multi-stage collaborative toughness promotion of distribution system and regional heating system.Compared with the isolated consideration of distribution network reconstruction in the prior art, the collaborative reconstruction in the application not only redistributes the heat load between heat sources to improve the toughness of the regional heating system, but also optimizes and adjusts the heating structure of the regional heating system to match the network topology changes of the distribution system, effectively controls the fault spread between systems, improves the toughness of the park-level electric heat comprehensive energy system, and is beneficial to reducing the overall load loss of the system, ensuring safe and stable operation of the system.

The invention relates to the technical field of transformer substations, in particular to an ultra-high voltage transformer substation GIS air chamber discharge fault positioning method. Comprising the following steps: S1, determining a fault range point according to a protection tripping range; s2, collecting current data of each switch in a trip fault range point, comparing the current data to obtain the maximum current data in the range, and narrowing the range of a fault air chamber; s3, measuring the information of the fault gas chamber, and if the information of the fault gas chamber is different from the information of the normal gas chamber, preliminarily judging the fault gas chamber; and S4, based on the fault gas chamber preliminarily judged in the step S3, carrying out test verification according to the SF6 decomposer, and confirming the fault gas chamber. Compared with a traditional strategy, the method provided by the invention has the advantages that the fault point positioning time is greatly shortened, the working efficiency is improved, and the non-planned power failure time and the load loss are reduced.

This invention discloses a power communication routing optimization method considering fault risk. The method establishes a primary and backup routing model for the communication system; correlates the importance of load control services in the power system with the information flow, proposing a communication link importance evaluation index; then, combined with a conditional risk measurement model, it proposes a power communication routing optimization method; it treats communication service losses in each fault scenario as risk values, aiming to minimize the losses of important services across all fault scenarios, and considers constraints such as node constraints, bandwidth constraints, and routing constraints to solve for the primary and backup routing paths of the power communication network. This invention flexibly formulates communication routing paths based on changes in the fault area, and the route selection can proactively avoid fault risk areas, effectively reducing load losses during fault processes; it can be used to formulate power communication routing schemes, improving the resilience of power communication systems in responding to faults.

The invention relates to an anti-deflagration and anti-explosion surface combustion gas burner (1). The burner is characterized in that it comprises a burner body (2) perforated by a series of apertures (21), each aperture extending through a rim (22), these apertures (21) being arranged in rows (24) of aligned apertures (21), and a gas distributor (5) comprising a distributor body (50) equipped with a plurality of longitudinal gas distribution branches (52), each branch (52) is perforated by a series of apertures surrounded by a rim (59). Furthermore, the distributor body (50) is located inside the burner body (2) such that each orifice of the distributor body (50) is coaxial with the orifice (21) of the burner body (2) such that air and gas mix only at the rim (22) of the burner body (2) when the burner body (2) is coupled to an air supply and the distributor body (50) is coupled to a gas supply.

This invention discloses a nano-silicon-based special transformer cooling oil and its preparation method. The cooling oil comprises the following components by mass percentage: 85%–90% modified silicone oil base oil, 2%–3% spherical nano-silicon particles, 1%–5% composite antioxidant, 0.5%–2% polyether-modified silicone oil dispersant and stabilizer, and the balance being functional additives. This invention constructs a three-dimensional thermally conductive network using surface-modified nano-silicon, synergistically combining composite antioxidants, low-temperature flow improvers, and anti-cavitation additives. This allows the cooling oil to maintain high insulation performance while achieving a thermal conductivity increase of ≥50%, good low-temperature fluidity at -80℃, partial discharge ≤5pC, cavitation inhibition rate ≥78%, overload capacity up to 200%, and service life extended to 40 years. This product is particularly suitable for extreme environments with altitudes ≥5000 meters and temperature differences ranging from -80℃ to +120℃, meeting the requirements of ultra-high voltage DC converter transformers and intelligent substations in cold regions for efficient heat dissipation and long-term stable operation.

The application discloses a rotor surface electromagnetic force mapping loading method and system of a double-rotor single-stator axial flux motor, and comprises the following steps: an auxiliary rotor surface grid covering a circumferential area of the rotor is established, and rotor surface electromagnetic force data is obtained through an external grid mapping mode; node grouping is performed according to the axial, radial and circumferential positions of auxiliary grid load nodes and actual rotor permanent magnet surface nodes; a mapping relationship between the actual rotor permanent magnet surface nodes and the auxiliary grid load nodes is determined according to the rotor mechanical rotation angle at each calculation time; electromagnetic force on the auxiliary grid load nodes is mapped and loaded to the actual rotor permanent magnet surface nodes, thereby forming electromagnetic force load considering the position change caused by the rotation of the rotor. The method can avoid load loss and incorrect mapping caused by the gap between the permanent magnets, and provides load input for electromagnetic noise analysis.

The application discloses a low-frequency load shedding optimization method, device and equipment of a new energy power system and a medium, and is used for solving the problem that when a low-frequency load shedding scheme is solved, it is easy to fall into local optimization too early, the convergence speed is slow and the like, and an optimal load shedding scheme that is adapted to the dynamic working condition of the new energy power system cannot be quickly output. The new energy power system comprises multiple dispatching areas; an inertia change rate of the new energy power system, a system frequency and wind power and photovoltaic power of each dispatching area are acquired; when the inertia change rate meets a preset inertia imbalance condition, for each dispatching area, a multi-time scale prediction model is constructed based on the wind power and the photovoltaic power; when the system frequency is less than a preset frequency threshold, a low-frequency load shedding optimization model that simultaneously considers multi-source load shedding amount and inertia imbalance degree is constructed in combination with each multi-time scale prediction model; and the optimization model is solved by improving the eagle fish optimization algorithm to obtain an optimal load shedding optimization scheme.

The application relates to the field of vehicle data communication, in particular to a power management method and device, a vehicle and a storage medium. The method is applied to a processor of a vehicle; the processor comprises a trained power management model; the method comprises the following steps: obtaining driving data of a target user; inputting the driving data of the target user into the power management model to determine the identification of a first load which needs to be subjected to power management and the power management operation corresponding to the first load; generating a power management operation instruction based on the identification of the first load and the power management operation corresponding to the first load, and sending the power management operation instruction to a controller, so that the controller executes the power management operation on the first load according to the power management operation instruction. Thus, the problem that, in the related art, when a domain controller is used to perform power management on a vehicle, the awakening demand of a user for various loads in the vehicle in the actual driving process of the vehicle is ignored, and the user has a poor use experience can be solved.

The invention discloses an electric control system of a fracturing truck. The system comprises a fracturing truck electric control room and a fracturing truck control unit in remote communication connection with the fracturing truck electric control room. The fracturing truck electric control room is connected with a fracturing motor on the fracturing truck frame through a high-voltage cable; the fracturing truck electric control room is used for controlling a fracturing motor according to the fracturing truck displacement adjusting instruction and the fracturing truck set total displacement adjusting instruction so as to realize self-adaptive control of the fracturing truck set; the fracturing truck control unit is used for generating a fracturing truck displacement adjusting instruction and a fracturing truck set total displacement adjusting instruction according to the maximum capacity of the high-voltage power grid of the fracturing truck set in combination with the multi-path power grid load distribution problem and the high-load-rate tripping problem in the fracturing construction process. According to the invention, not only are automatic control and remote operation of the fracturing truck set realized, but also automatic intervention and self-adaptive control of the power grid capacity and the fracturing truck set are realized by combining a multi-path power grid load distribution problem and a high-load-rate tripping problem in the fracturing construction process.

The invention provides a scheduling method of a virtual power plant and related equipment. Specifically, the scheduling method comprises the following steps: acquiring price constraint conditions, load demand data and state data of the power generation units; according to the state data and the load demand data, determining first output power of each power generation unit by using a trained deep Q network; according to the first output power and a price constraint condition, determining second output power of each power generation unit by using a trained deep Q network; wherein the deep Q network comprises a first deep Q network and a second deep Q network; wherein the first deep Q network is configured to determine a first output power; the second deep Q network is configured to determine a second output power. The deep Q network is used to fully analyze the load demand data, the operation state of the power generation unit and the price constraint condition, thereby facilitating the reduction of the load loss, and promoting the application and development of the virtual power plant in the energy field.