8 results about "Random response" patented technology

This invention discloses a robust design method for gas turbine performance based on multi-source stochastic response coordination, relating to the field of gas turbine performance design. The method sequentially performs three types of stochastic influence analysis: design model, manufacturing, and usage process, constructing probability density functions for core performance parameters respectively. Based on the task phase, it determines the risk levels and weights of various stochastic factors, fusing them to generate a comprehensive probability density function. With the goal of minimizing the dispersion and optimizing the expected value of the comprehensive probability density function, it combines the constraints of component thermodynamic state parameters to solve the optimization model, obtaining the optimal combination of performance parameters. This invention achieves multi-source stochastic coordinated quantification and characterization, improving the robustness of gas turbine performance, solving the problems of conservative design and poor adaptability to operating conditions in traditional methods, and enhancing its operational safety and reliability.

This invention provides a local differential privacy collaborative sampling data collection method and system resistant to poisoning attacks, belonging to the field of information security and privacy protection technology. The scheme compares the single-dimensional probability distribution reported by the user terminal with the median probability distribution to identify and eliminate abnormal reported data, thereby effectively suppressing data poisoning attacks initiated by malicious user terminals. Subsequently, under the constraint of local differential privacy, combined with a generalized random response mechanism and a collaborative sampling strategy, multidimensional data is sampled differentially to achieve more accurate frequency estimation. The scheme of this invention improves the privacy protection strength and the accuracy of statistical results in multidimensional data collection without relying on a trusted third party.

This invention discloses a local differential privacy trajectory publishing algorithm oriented towards regions of interest, comprising the following steps: Step 1, extracting a set of safe regions from the original user trajectory; Step 2, traversing each trajectory point in the original user trajectory in chronological order, and further dividing the trajectory points falling into the safe regions to obtain discrete candidate domains and nearest candidate points; Step 3, performing distance-layered restricted random response within the discrete candidate domains to generate perturbation points, wherein the perturbation points and trajectory points not falling into any safe regions constitute the published trajectory. This invention features a finer-grained trade-off between privacy strength and trajectory availability.

This invention belongs to the field of power system demand-side management technology and discloses a probabilistic assessment method for load adjustability potential considering dual uncertainties. The method includes: constructing adjustability potential models for five load types: air conditioning, cold chain, energy storage, electric vehicles, and data centers; determining the random parameters of external influences on each load and quantifying their probability distribution based on historical data; introducing random execution variables for each load type to describe the uncertainty of execution behavior with probability distributions, thus obtaining a more realistic adjustability potential; performing random sampling calculations on the above models and parameters using the Monte Carlo method to aggregate and generate a total adjustability potential sample; and performing fitting analysis on the sample to obtain the probability function of the system's adjustability potential and conduct multi-dimensional evaluation. This invention achieves the quantification of load adjustability potential uncertainty through a three-layer probabilistic modeling of "physical behavior - random influence - random response," providing decision support for optimized power grid operation.

The application discloses a non-smooth system random response calculation method based on improved generalized cell mapping. The method firstly establishes a random differential equation of a target non-smooth system and defines a collision condition; then selects a region of interest on a collision constraint surface, discretizes the region of interest into a cell state space and establishes a mapping relationship with an original space; then constructs a collision-to-collision mapping on the collision constraint surface, and establishes a one-step transition probability matrix of the generalized cell mapping method; finally, based on Markov chain theory, transient and steady-state probability distributions on the cell state space are calculated, and are restored to the original continuous state space. The application can accurately calculate transient and steady-state responses of a non-smooth system, and is suitable for long-term response analysis.

The application discloses a personalized differential privacy protection method for wedge-shaped counting of graph data and belongs to the technical field of data privacy protection. The application fuses a double privacy amplification mechanism of sampling amplification and shuffle amplification, constructs a two-stage framework of personalized sampling and shuffle counting, and relates to an independent third party, a local client, a shuffler and a data collector; node-level non-uniform sampling is completed through node sensitive level division, personalized privacy budget allocation and optimal sampling threshold solving, and then unbiased estimation of a wedge-shaped total number is realized through local random response disturbance, shuffler anonymization and statistical debiasing. The application is free from dependence on a trusted data collector, takes into account node personalized privacy demand and counting precision, reduces noise overhead, and is suitable for graph data privacy protection scenes such as social networks and financial transactions.

The application relates to the technical field of data privacy protection, and provides a sketch-based low-frequency item frequency estimation method under local differential privacy, which comprises the following steps: a user constructs a multi-layer sketch structure based on a local data set, a generalized random response mechanism is applied to disturb column coordinates of each layer of the sketch, so that a local differential privacy constraint is met; a server receives disturbed row coordinate and column coordinate pairs uploaded by all users, aggregates the disturbed row coordinate and column coordinate pairs into a global multi-layer sketch, constructs a global multi-layer sketch matrix, calibrates observation counts of each layer of the global multi-layer sketch matrix, estimates real frequencies of each layer of the global multi-layer sketch matrix, and based on the calibrated frequency estimation of each layer, a query item is calculated to obtain a global frequency estimation of the query item. By introducing the local differential privacy mechanism and optimizing the sketch structure, the application can significantly improve the frequency estimation precision of low-frequency data items while strictly protecting the individual privacy of the user.

The embodiment of the application provides a power distribution network-multi-microgrid collaborative optimization method and related equipment, and belongs to the field of power system optimization scheduling. The method comprises the following steps: each operation subject constructs a chaotic polynomial proxy model of operation cost based on a random response surface method, and quantitatively obtains an expected independent operation cost of each subject considering uncertainty risk; the cost is used to reconstruct a negotiation breakdown point of a cooperative game; a Nash bargaining model is established based on a new benchmark, and is decomposed into power and price optimization sub-problems, distributed iterative solution is carried out by using an alternating direction multiplier method, and an optimal collaborative transaction strategy is obtained; and finally, the strategy is executed and dynamically updated under an intra-day rolling framework. The application realizes endogenous quantification and fair allocation of risk cost by deeply integrating the random response surface method and the game theory, overcomes the defects of the traditional "risk-game separation" paradigm, and effectively improves the overall economy, operation stability and benefit distribution fairness of the system.