16 results about "Energy margin" patented technology

The invention relates to the technical field of hybrid power system power distribution, and provides a hybrid power operation platform power distribution method suitable for narrow lane operation. A state acquisition module, a fuzzy preprocessing unit, a particle filter estimation unit, a model prediction control unit and a self-adaptive control unit are designed, vehicle inclination angle, load and wheel speed data are acquired in real time, and terrain uncertainty factors are output through fuzzy logic processing; estimating hidden state variables such as the wheel slippage rate and the energy margin by adopting a particle filtering algorithm; performing multi-stage power distribution optimization by applying a model predictive control technology to realize coordinated control of the diesel engine and the electric pump; and finally, self-adaptive feedback and switching are executed, wherein the power modes are switched according to the uncertainty factors, inclination angle and load safety protection is implemented, and braking energy is recycled. The terrain adaptability, the power distribution precision and the energy utilization efficiency of the working platform in the narrow lane complex environment are effectively improved, and meanwhile the operation stability and the environment friendliness are enhanced.

The invention discloses a middle and low voltage distribution network coordinated voltage regulation method and device considering the voltage safety margin of a distribution network and the low voltage distribution network. The method comprises the steps that distribution network parameter data and distribution network historical operation data are acquired, the historical operation data are preprocessed, and abnormal data are replaced; wherein the power distribution network comprises new energy; quantizing an energy margin index of the power distribution network based on the distribution network parameter data and single machine infinite bus system equivalence; wherein an energy function method is adopted to quantify a voltage safety margin index; the nonlinear voltage safety margin constraint is converted into a linear form by adopting trajectory sensitivity analysis; and according to the preprocessed historical operation data of the power distribution network and the preprocessed real-time operation data of the power distribution network, constructing and solving a double-layer robust optimization model, cooperatively optimizing a preventive scheduling and emergency control strategy, and outputting a final voltage regulation scheme. According to the invention, an effective cooperative voltage regulation strategy can be provided, so that uncertain disturbance is dealt with, and the power supply quality and reliability are guaranteed.

The invention discloses a power grid fault risk positioning method and device based on energy margin, equipment and a medium, and the method comprises the steps: determining the basic energy margin of each node in a power grid according to the operation data of the power grid; based on a hybrid neural network of a long short-term memory network and a back propagation network, correcting the basic energy margin to obtain a corrected dynamic energy margin; constructing a graph neural network according to the power grid topology, determining node features of the graph neural network based on the dynamic energy margin, and generating a vulnerability score of each element in the power grid based on the graph neural network; and according to the dynamic energy margin and the vulnerability score, constructing a two-dimensional risk assessment matrix, and carrying out risk level determination on each element in the power grid so as to carry out risk positioning. According to the invention, the real-time performance and accuracy of power grid fault risk positioning can be improved.

The present application relates to the technical field of power system distribution network, and more particularly to a fault prediction self-healing power distribution method, which comprises the following steps: first, obtaining equivalent admittance and physical residual by controlled disturbance and synchronous phasor measurement, generating spectrum-topology co-embedded coordinates and innovation consistency index, and completing topology checking; then, fusing space evidence, time evidence and physical evidence, combining hazard rate evaluation to form control access strength value; performing bias search under the constraints of feasible domain prior, action shielding and control barrier, and obtaining self-healing operation sequence by power flow optimization with conditional value at risk as the target; finally, according to counterfactual energy margin shaping operation threshold, completing full sequence checking and generating execution package according to signal time sequence logic and satisfiability model theory, and realizing low misoperation, provable safety and rapid recovery.

The invention relates to the technical field of supervision and control, in particular to a flexible DC converter station edge node voltage stability emergency control system, which comprises a transient energy margin evaluation module used for constructing a current system operation state vector according to a flexible DC converter station edge node voltage amplitude and a phase angle parameter acquired in real time, and substituting into a preset energy function structure for operation to obtain a current system operation energy value. According to the method, the system operation state vector is constructed in real time and substituted into the preset energy function, so that the quantification of the transient stability margin is realized, a dynamically changing stability criterion is provided for subsequent decision-making instead of depending on static and lagged threshold triggering, the transient energy margin is further combined with the voltage sensitivity of the adjacent node, and the voltage sensitivity of the adjacent node is further improved. The comprehensive risk of the domino effect caused by single node disturbance can be quantitatively evaluated, and a control system is changed from paying attention to isolated node safety to maintaining systematic stability of a regional power grid.

The invention belongs to the technical field of operation and control of a grid-following converter, and discloses a method, a system and equipment for determining a transient synchronous stability boundary of the grid-following converter, and a medium, so as to solve the problems that an existing analysis method is limited by specific working conditions and is insufficient in universality and the like. The method comprises the following steps: a transient simulation step; an energy calculation step; an energy margin calculation step; a sensitivity calculation step; a critical value searching step; and determining a stable boundary. Aiming at the problem that an existing method is limited by specific working conditions and is poor in accuracy due to model simplification, the method comprises the following steps: establishing an accurate transient simulation model, introducing a mechanism for adaptively calculating the maximum potential energy, dynamically and intelligently selecting direct calculation, disturbance iteration or voltage adjustment paths according to a power angle track, and calculating the maximum potential energy according to the power angle track. It is ensured that the method can be applied to different power grid structures, faults and operation modes, the real stability boundary is accurately captured, and accurate evaluation of transient synchronization stability is achieved.

The embodiment of the invention relates to an online grouping equivalent modeling method for an induction motor group of a power supply and distribution network, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring power supply voltage and frequency of a power grid, acquiring parameters of a plurality of induction motors i in an induction motor group under the same power distribution bus, and obtaining high-speed force energy allowance KHSi, low-speed force energy allowance KLSi and maximum curvature Kpimax of resultant moment of each induction motor i in the induction motor group under the same power distribution bus, and obtaining a self-adaptive group of the plurality of induction motors in the induction motor group, and enabling the plurality of induction motors in each sub-cluster of the self-adaptive group to be equivalent to one induction motor. According to the embodiment of the invention, model order reduction can be realized, an induction motor dynamic load model with a more appropriate structure and more accurate parameters is established, and transient voltage stability misjudgment caused by inaccurate orders or inaccurate parameters of the dynamic load model is reduced.

This invention provides a method and system for determining emergency power supply priority based on a shared energy storage device for multiple elevators, relating to the field of power supply control technology. The method includes: acquiring emergency operating parameters for each elevator; determining the minimum energy consumption requirement of each elevator using a unified power model under bidirectional energy conditions; using the remaining power of the shared energy storage device as a state variable to establish Hamiltonian values ​​when connecting different elevators to the shared energy storage device at different power supply stages; selecting the elevator with the minimum Hamiltonian value as a candidate elevator at each power supply stage, and arranging the candidate elevators according to the power supply stage to obtain an emergency power supply sequence; calculating the energy margin of the shared energy storage device at each power supply stage; establishing an energy margin lower bound inequality based on the Cauchy inequality, and supplying power to each elevator sequentially according to the emergency power supply sequence based on the magnitude of the shared energy storage device's energy margin. This maximizes the number of elevators that can be powered while avoiding secondary interruptions caused by premature depletion of energy storage.

The application provides a supercapacitor-based nuclear power primary frequency modulation power smoothing control method and system, relates to the technical field of nuclear power unit frequency modulation control, and comprises the following steps: performing time-frequency domain analysis on a target frequency modulation power sequence, extracting power change rate and duration characteristics, combining reactor thermal inertia and control rod adjustment delay characteristics, predicting the power response boundary of the nuclear power unit, decomposing the target frequency modulation power into a nuclear power unit bearing component and a supercapacitor compensation component, and adjusting the distribution of the two components under the constraint of the energy margin of the supercapacitor, so as to smooth the power output curve of the nuclear power unit and improve the primary frequency modulation capacity of the nuclear power unit and reduce the thermal stress and safety risk of the unit.

This application discloses an optimized control method for a hybrid power system of an oil drilling rig, relating to the field of oil drilling rig technology. The method includes: acquiring high-frequency impact power data; calculating the overdraft-equivalent fuel quantity and energy margin ratio based on the high-frequency impact power data and the current available energy of the supercapacitor; extracting charging and discharging characteristic data from the high-frequency impact power data, and processing the charging and discharging characteristic data using the energy margin ratio to obtain the battery's heat-equivalent fuel quantity; acquiring the transient power difference within the current preset control cycle, and constructing allocation weights based on the overdraft-equivalent fuel quantity and the heat-equivalent fuel quantity; and allocating energy supply based on the allocation weights to the transient power difference, generating a first power command for the battery and a second power command for the supercapacitor to adjust the energy supply ratio between the battery and the supercapacitor. This application achieves the technical effect of avoiding generator stalling caused by supercapacitor overdraft.

The invention provides a multi-element flexible load scheduling method, device and equipment based on controllable margin, and relates to the technical field of power grid scheduling, and the method comprises the steps: calculating the power margin, time margin and energy margin of each flexible load in a target power grid; the flexible load comprises an air conditioning load, an electric vehicle load and an energy storage load; according to the power margin, the time margin and the energy margin of each flexible load, calculating the controllable margin of each flexible load, and screening out a plurality of adjustable flexible loads from all flexible loads of the target power grid; selecting at least one target node and a target flexible load in each target node from the plurality of nodes based on the corresponding relationship between the plurality of adjustable flexible loads and the nodes and the target adjustment power of the target power grid; and obtaining a load scheduling scheme of the target power grid according to the target adjustment power and the operation parameters of each target flexible load. According to the method, the flexible load can be quantified, stable operation of the target power grid is guaranteed, and regulation and control failure is avoided.

The application relates to the technical field of building electricity and discloses a building electricity distributed power supply access and power balance control method, which comprises the following steps: mapping a micro-grid physical topology state into a legal topology mapping hash state word before operation, and combining power grid disturbance and power supply support capacity to deduce and generate a basic action matrix and an action mask matrix. In a steady state, power supply energy margin is updated into an adequacy state word through synchronous computing power slow loop evaluation, and a dynamic boundary threshold value is deduced; meanwhile, bus electrical quantity change rates are extracted through asynchronous logic fast loop. When the change rates exceed the limit, asynchronous interrupt signals are generated and the current state words are latched, absolute addressing pointers are generated based on this, two groups of matrices are read in parallel, logical operation is carried out, discrete control words are outputted to trigger switch action and power distribution is balanced. The application converts complex software serial iteration calculation into constant time static memory addressing, reduces response delay to the level of hardware gate circuits, and effectively intercepts switching instructions exceeding physical limits.

The present application belongs to the technical field of grid-following converter operation and control, and discloses a method, system, device and medium for determining the transient synchronous stability boundary of a grid-following converter, to solve the problem of insufficient universality of existing analysis methods or being limited to specific operating conditions. The method comprises: a transient simulation step; an energy calculation step; an energy margin calculation step; a sensitivity calculation step; a critical value searching step; and a stability boundary determination step. To solve the problem of poor accuracy caused by existing methods being limited to specific operating conditions and model simplification, the present application establishes an accurate transient simulation model, introduces a mechanism for adaptively calculating the maximum potential energy, intelligently selects a direct calculation, disturbance iteration or voltage adjustment path according to the power angle trajectory dynamics, ensures that the method is applicable under different power grid structures, faults and operating modes, accurately captures the real stability boundary, and realizes accurate evaluation of transient synchronous stability.

The application relates to a modular multilevel energy storage converter cluster inter-energy dynamic balancing method and an energy storage cabinet. The method obtains operation parameters of each battery cluster, a modular multilevel converter sub-module, upper and lower bridge arms and an alternating current side in the energy storage cabinet, calculates cluster-level callable energy margin of each battery cluster according to SOC, SOH, cluster terminal voltage, cluster current, internal resistance, temperature, contactor voltage drop, insulation state, sub-module capacitor voltage and bypass state, constructs cluster inter-energy deviation based on the cluster-level callable energy margin, generates circulating current injection amount, zero sequence voltage injection amount and sub-module input priority in combination with sub-module capacitor energy deviation, bridge arm energy deviation and inter-phase energy deviation, and controls sub-module input or bypass according to the input priority, so that different battery clusters bear differentiated charging and discharging power. The application can realize dynamic balanced use of multiple battery clusters in the energy storage cabinet under the condition of considering sub-module capacitor voltage stability and bridge arm energy balance.

This invention provides a low-voltage ride-through control method and system for grid-connected direct-drive wind turbines, belonging to the field of new energy power generation grid-connected control technology. Addressing the problems of existing fault ride-through control methods, such as difficulty in simultaneously addressing DC voltage suppression and rotor operational safety, lag in post-fault feedback adjustment, and lack of safety boundaries in intelligent control, this invention determines the minimum allowable output power on the turbine side as the safety lower boundary based on the rotor's overspeed power reduction capability. The maximum value of the power balance target power and this lower boundary is used to generate the basic active power reference value. A state assessment quantity is constructed based on short-time DC voltage prediction and a square-type energy margin of rotational speed, and the power command is adaptively corrected within the safety range through fuzzy inference. This invention combines mechanistic interpretability and adaptive capability, effectively suppressing DC bus overvoltage and rotor overspeed, and improving the wind turbine's adaptability to complex faults.

The application relates to a solar camera distributed cooperative management method based on dynamic energy distribution. The method comprises the following steps: acquiring the solar cell panel power generation efficiency, the camera working load and the environmental light intensity of each solar camera node; identifying the task priority according to the camera working load; inputting the environmental light intensity into an environmental light intensity prediction model to obtain a light prediction result, and determining the predicted available energy; determining the predicted energy demand according to the camera working load, and judging the energy supply and demand state; when the target node is in a preset condition, acquiring the energy supply and demand state of the adjacent node through distributed communication, and determining the matching result of the energy gap and the energy margin; generating energy distribution parameters and power supply mode adjustment parameters according to the task priority and the matching result, and cooperatively adjusting the power supply mode of the multiple nodes. The application can improve the problem that the power supply guarantee and the power consumption adjustment matching between the distributed solar camera nodes are insufficient.