16 results about "Wind power penetration" patented technology

The present application relates to the technical field of cogeneration system optimization, in particular to a heat and electricity decoupling system based on geothermal long-time energy storage and a control method. By constructing a low-temperature underground aquifer energy storage unit (ATES), combined with an electric heat pump unit (EHP) to recover the waste heat of a cogeneration unit (CHP), the CHP is deeply decoupled from heat and electricity through collaborative operation. Through intelligent scheduling strategy, the heat supply ratio is dynamically allocated, the power generation adjustment range of the cogeneration unit (CHP) is improved, the wind power consumption capacity is improved, the wind power curtailment rate is reduced, and it is suitable for centralized heating scenarios with high wind power penetration rate.

The invention discloses a power grid state prediction method under high wind power permeability based on multi-source data fusion, and the method comprises the steps: firstly analyzing the correlation between variables through feature engineering and a Pearson's correlation coefficient, and expanding a data set through a sliding time window to mine time domain information; establishing a graph convolution network model of an adaptive adjacency matrix, dynamically capturing the relationship between fans, and extracting spatial features through multilayer convolution to realize information transmission; and carrying out probability density analysis on the wind power prediction error by adopting a kernel density estimation method, determining an error interval boundary value, and realizing interval prediction by combining a deterministic prediction result. The system based on the method comprises a data preprocessing module, a model building module and an uncertainty analysis module which are matched with a processor and a memory to operate. According to the scheme, the accuracy and stability of power grid state prediction in a high wind power permeability scene can be effectively improved, the certainty and the interval prediction result are considered, and a reliable basis is provided for power grid dispatching and optimized operation.

The invention discloses a wind power bearing limit analytical calculation method considering dynamic frequency stability and energy storage fast frequency support. The method comprises the following steps: firstly, constructing a system frequency response model containing energy storage fast frequency support, and deriving an accurate analytical expression of a maximum frequency change rate, a maximum frequency deviation and a quasi-steady-state frequency deviation; secondly, calculating corresponding wind power permeability by taking the three types of dynamic frequency safety indexes as constraint conditions; then, taking the minimum permeability under the three types of constraints as a system wind power bearing limit, and establishing an analytical calculation framework of a wind power bearing domain; and finally, outputting wind power bearing limit results under different frequency constraint boundaries and power disturbance. According to the method, the fast frequency supporting capacity of the energy storage system is fully fused, a complete frequency dynamic characteristic evaluation system is constructed, the maximum wind power access capacity is efficiently and accurately evaluated under the multi-frequency safety constraint, and the system frequency stability and the new energy consumption capacity are effectively improved.

The invention discloses a wind turbine generator multi-stage self-adaptive droop control method considering rotor kinetic energy constraint and frequency change rate, which comprises the following steps: 1, constructing a rotation speed influence factor based on a Logistic function, mapping a rotor rotation speed into a frequency modulation contribution coefficient, and quantitatively evaluating a rotor kinetic energy releasable range of a fan under different operation conditions; 2, designing a self-adaptive droop control strategy based on a segmented frequency change rate, adjusting a droop coefficient in real time by identifying a frequency change rate interval, forming a hierarchical response mechanism, providing strong active support in a sharp frequency drop stage to quickly suppress frequency drop, and converting into moderate support in a frequency recovery stage to maintain stability and prevent secondary drop; and 3, building a wind-fire combined system simulation model, and verifying the effectiveness of the provided strategy in the aspects of improving the frequency response characteristic of the system and improving the frequency stability through a multi-scene contrast experiment. According to the method, the frequency regulation capability of the power system under the high wind power permeability can be remarkably enhanced.

The application discloses a power grid scheduling method and device considering wind power uncertainty and a medium, and the method comprises the following steps: constructing an opportunity constraint model based on alternating current flow according to wind power uncertainty; using a sensitivity factor and a first-order Taylor expansion to analyze the opportunity constraint model, and converting the opportunity constraint in the opportunity constraint model into a linear constraint; using an improved double-description method to calculate an original feasible region of the power grid according to the linear constraint; constructing a local nonlinear adjustment optimization model based on the original feasible region, and using a deep learning method to solve the local nonlinear adjustment optimization model to obtain a final feasible region, so as to schedule the power grid according to the feasible region. The application can quickly and accurately calculate the system feasible region under high wind power penetration, and provide early warning information for real-time scheduling of the power grid.

This invention provides a primary frequency regulation method for a wind-storage integrated system based on multivariable fuzzy logic control, comprising: establishing a wind-storage integrated system model, dividing wind speed regions, and establishing a multivariable fuzzy logic control method. The primary frequency regulation method for a wind-storage integrated system based on multivariable fuzzy logic control provided by this invention can realize power allocation for wind power and energy storage participating in primary frequency regulation, fully leverage the frequency regulation advantages of DFIG and energy storage, and improve the frequency stability of power systems with high wind power penetration.

The invention belongs to the technical field of power system monitoring and maintenance, and relates to a high wind power permeability power system critical thermal power proportion determination method, which comprises the following steps: 1, establishing a wind turbine generator inertia evaluation model considering wind speed fluctuation; 2, deducing a system critical thermal power proportion based on RoCoF constraint; 3, simulation verification; by comparing the output of the wind turbine generator with inertia response control and the output of the wind turbine generator only containing MPPT control when system disturbance occurs and the frequency change conditions of the two systems influenced by the disturbance, it is proved that the fan participates in system frequency modulation under inertia response control by means of the kinetic energy of the rotor of the fan, and the positive effect on the system frequency stability is achieved.

This application discloses a method, device, terminal, and medium for evaluating the stability characteristics of high-proportion renewable energy systems. The solution provided in this application constructs a model of a high-proportion renewable energy penetration system based on grid-connected energy storage and performs multi-parameter fault simulation and iterative adjustment, which can realistically reflect the voltage dynamic characteristics of the system under high wind power penetration. Therefore, this method provides a unified simulation platform for voltage stability issues in high wind power penetration systems, enabling quantitative evaluation of the voltage support effect of grid-connected energy storage. This solution helps to form criteria that can be directly used for engineering capacity configuration, providing a basis for the planning and design of grid-connected energy storage in high wind power penetration grids, thereby effectively improving the system's dynamic reactive power support capability and solving voltage stability problems.

The invention discloses a wind power generation prediction and scheduling method and system, and the method comprises the steps: firstly constructing a probability wind power generation prediction model based on a self-adaptive federal learning framework which integrates self-adaptive clustering and an elastic weight consolidation mechanism, generating a calibration prediction interval of quantization uncertainty, and carrying out the prediction of the prediction of the probability wind power generation; the data heterogeneity is overcome and the prediction precision is improved on the premise of protecting the data privacy of each power generation field. And then, taking generated power uncertainty information provided by the prediction interval as key input, embedding the generated power uncertainty information into a load side distributed optimization model based on an alternating direction multiplier method, converting the optimization problem into a standard form, and constructing an augmented Lagrange function to carry out distributed iterative solution. Therefore, decentralized economic dispatching of each load agent is realized, and abnormal load behaviors are identified in real time by monitoring the deviation between the state of each agent and the global consensus in the process. According to the method, a robust, efficient and safe intelligent power grid operation scheme capable of coping with high wind power permeability challenges is formed.

The invention discloses a wind power plant frequency cooperative control method and device, and the method comprises the following steps: building a frequency modulation capability evaluation model of wind turbine groups based on a Koopman operator, and obtaining a limit droop coefficient of each wind turbine group; based on a consistency algorithm, carrying out self-adaptive correction on the droop control coefficient of each fan in the group to obtain a corrected dynamic droop control coefficient of each fan; when it is judged that the frequency of the wind power plant fluctuates, each fan adjusts and outputs active power according to the dynamic droop control coefficient, active output is increased when the frequency is reduced, active output is reduced when the frequency is increased, and overall frequency modulation response of the wind power plant is achieved through collaborative optimization of the fans in the group. The method accurately evaluates the frequency modulation capability through a data driving mode, dynamically corrects the droop parameters, can prevent the fan rotating speed from exceeding the limit and quitting the frequency modulation, remarkably improves the frequency modulation response precision of the wind power plant and the frequency stability of the power system, and is suitable for the primary frequency modulation optimization of the power system under the high wind power permeability.

The invention discloses a virtual inertia control method for a doubly-fed wind generating set and related equipment. The method comprises the following steps: acquiring a frequency deviation and a frequency change rate of the doubly-fed wind generating set; inputting the frequency deviation and the frequency change rate into a variable coefficient Bang-bang controller, and performing variable coefficient control to obtain a self-adaptive virtual inertia coefficient; calculating virtual inertia power based on the adaptive virtual inertia coefficient and the frequency change rate; calculating droop power according to the frequency deviation and the droop coefficient; superposing the virtual inertia power, the droop power and the maximum power tracking reference value to obtain an active power instruction; and transmitting the active power instruction to a rotor side converter of the doubly-fed wind generating set, thereby realizing virtual inertia and primary frequency modulation support of a power grid. According to the method, dynamic self-adaptive virtual inertia support can be realized, and the frequency stability level of a power system under high wind power permeability is improved.

The invention discloses a multi-region power system controller design method based on a reconstruction method. The method comprises the steps of S1, constructing a power system load frequency control model under high-permeability wind power and multi-delay delay coupling; s2, introducing a reconstruction technology, and dynamically dividing the power system load frequency control model in the S1; s3, constructing a Lyapunov-Krasovskii functional containing multiple pieces of time delay information on the basis of the step S2, and accurately solving an integral term in the Lyapunov-Krasovskii functional by applying a novel integral inequality; and S4, formulating a non-fragile dissipation controller design and performance evaluation mechanism considering the disturbance term based on S3. The invention provides a non-fragile dissipative load frequency control (LFC) method for an interconnected multi-region power system under the influence of high wind power permeability (HPW) and multi-time-varying delay (MTD). According to the method, firstly, an LFC model fusing HPW and MTD is established, and stability analysis efficiency is improved by adopting a reconstruction technology based on time delay dynamic division.

The invention belongs to the technical field of high-proportion wind power systems, and particularly relates to a high-proportion wind power system-oriented reactive power margin rapid evaluation method, which comprises the following steps of: S1, establishing an electromechanical transient model of a double-fed induction wind turbine generator; the representative wind turbine generator set comprises a WTL and a WTH; s2, constructing a state mapping relation between the WTL and the WTH about voltage, and obtaining a high-dimensional differential algebraic equation of a representative wind turbine generator; obtaining a corresponding approximate expression equation by adopting a target-oriented dimensionality reduction approximation method; s3, taking the electromechanical transient models of all wind turbine generators in the wind power plant in the S1 as transient stability constraints, and embedding an optimal power flow OPF framework to form a pre-dimensionality-reduction TSC-OPF model; in the same way, a dimension-reduced TSC-OPF model is formed; s4, coefficient vectors of all the approximate expression equations are optimized and substituted into the dimension-reduced TSC-OPF model; and S5, the optimized TSC-OPF model is used to solve the dynamic reactive power margin in the actual working condition. According to the method, the reactive power margin of the high wind power penetration power system can be quickly evaluated on the basis of ensuring the accuracy.

This invention discloses a stochastic programming method and related apparatus that considers demand-side factors and wind power penetration. The method includes: constructing a generator set model, a wind farm output model, and a demand-side resource aggregator flexible resource model; introducing conditional value of risk (VoV) and combining the generator set model, wind farm output model, and demand-side resource aggregator flexible resource model to construct an objective function that minimizes the total expected cost while considering system operating constraints, thus obtaining a market clearing model; determining the first-stage and second-stage constraints of the market clearing model and constructing associated constraints; and solving the market clearing model based on the above constraints to obtain the scheduling result. This invention's method allows for more flexible scheduling of different types of demand-side resources, better adapting to the volatile characteristics of renewable energy; it proactively manages uncertainty during scheduling, reducing the negative impact of wind power output fluctuations on system stability.

The present application relates to a kind of wind power penetration power limit calculation method, device and storage medium, comprising: according to the first disturbance power expression of pre-set and offshore oilfield group power grid equivalent frequency response transfer function, the wind power penetration power limit under transient frequency safety constraint is calculated;According to the second disturbance power expression of pre-set and offshore oilfield group power grid equivalent frequency response transfer function, the wind power penetration power limit under steady-state frequency safety constraint is calculated;Select the smaller value in the wind power penetration power limit under transient frequency safety constraint and steady-state frequency safety constraint as the wind power penetration power limit of power grid.The present application can comprehensively consider the influence of fan low inertia, volatility on power grid transient, steady-state frequency safety and quickly solve offshore oilfield group power grid wind power penetration power limit, better meet the safety and stability demand of offshore oilfield group power grid.

The application provides a wind turbine generator improved frequency modulation control method and system considering energy storage output mode, and comprises the following steps: acquiring the frequency of a wind turbine generator; if the frequency is less than a preset frequency threshold, performing wind turbine generator frequency modulation control and energy storage system control; wherein the wind turbine generator frequency modulation control comprises: controlling the wind turbine generator to perform rotor kinetic energy frequency modulation control and pitch angle standby control according to the wind speed and the rotating speed of the wind turbine generator, and the application improves the frequency modulation capacity of the wind turbine generator and improves the frequency stability of the power grid under high wind power penetration rate through improvement of the frequency modulation mode of the wind turbine generator and the battery energy storage participation system.