14 results about "Hydro energy" patented technology

The invention relates to the technical field of hydroelectric energy, and the method comprises the steps that a two-stage starting mode is adopted, an opening limit self-adaption function is configured, the starting opening degree of a speed regulator is set according to single machine operation, the speed regulator influences the load of another machine by adopting power mode closed-loop control, power is added to a global variable for memory, and the speed regulator is controlled to be in a closed-loop mode. The method is used for the stable load function condition of the speed regulator in the opening mode, automatic switching is achieved through the opening mode when a power part breaks down, and a unit operates stably. According to the method, the load fluctuation of the speed regulator under one-hole double-machine disturbance can be reduced, and the unit overload phenomenon caused by the abnormal working state of the unit is reduced. The automatic load adjusting capacity and reliability of the unit in operation are improved, and the situation that the unit is damaged due to non-planned shutdown caused by unit overload is prevented. And the phenomena of overload and slip load caused by hydraulic fluctuation and excessive active power disturbance of the unit in unit load regulation are prevented.

The present invention relates to a modular individual polygonal module grouping device of 5 to 9 sides (100) of wind or hydro energy comprising a wind or hydro block (10) with vertical axis and a cage (20) having the form of a right prism with polygonal base of 5 to 9 sides, in which said two bases (21a, 21b) are connected to each other at the level of their respective vertices (23a, 23b) by uprights (24) arranged so that each face (22) forms a panel open in its center for a passage of air through said face (22);and wherein said block (10) comprises a stage formed (11) by lower (12a) and upper (12b) plates that are superimposed in pairs, said plates (12a, 12b) being circular in shape, parallel to each other, and connected rigidly by blades (13), said block (10) being mounted for rotation inside said cage (20) such that the fluid exerts a stress on each of the blades (13) causing said block (10) to rotate about itself. Abbreviated figure: Figure 1;

The application provides a green offshore pumped storage energy, phase modulation and power generation system, which comprises a wind turbine or a wind turbine group, an offshore water tower, a water turbine, an excitation or permanent magnet synchronous generator and a water pumping pump, the excitation or permanent magnet synchronous generator is located in the offshore water tower, the wind turbine or the wind turbine group is located at the top of the offshore water tower or is distributed around the offshore water tower, the vertical excitation or permanent magnet synchronous generator is coaxially connected with the water turbine, a lower water outlet with a volute is arranged in the offshore water tower, a water storage tank is arranged above the offshore water tower, a tower water chamber, a tower water outlet channel, a sea outlet, a water inlet and corresponding valves and related circuit structures are arranged below the offshore water tower. The system can realize a novel offshore energy utilization, integrates offshore pumped storage energy, offshore power generation and offshore phase modulation into a unified structure, takes into account the operation state of the land power grid, fully utilizes offshore resources and improves the utilization rate of wind power generation.

The invention relates to the technical field of hydroelectric energy system transition process and control, in particular to a cooperative control method for a pumped storage-wind power combined operation system, and the method comprises the steps: obtaining a system multi-frequency dynamic characteristic analysis result which comprises the dynamic response of a low-frequency mass wave, an intermediate-frequency water hammer wave and a high-frequency electric wave and the coupling relation between a subsystem and a wavelet; in combination with a cooperative control theory, selecting the rotating speed and the guide vane opening of the pump turbine as key state variables, determining a macro-variable and deducing a control equation; the strategy is adopted to pertinently control the wavelets to preferentially control the intermediate-frequency water hammer waves, and system cooperative accurate control is achieved by regulating and controlling key state variables such as the water level of a surge chamber and the rotating speed of a unit. According to the method, multi-source coupling disturbance can be effectively inhibited, the stability and the adjusting performance of the system are improved, and the method is adaptive to various pumped storage-wind power combined operation scenes and is high in universality.

The invention relates to the technical field of hydroelectric energy prediction, and discloses a watershed hydroelectric generating capacity prediction method based on multi-source data fusion and deep learning, and the method comprises the steps: collecting data information of a hydropower station in a watershed, carrying out the data fusion and time-space alignment of the data information, and constructing a meteorological-hydrological-engineering coupling data set; constructing a grid scale dynamic effective rainfall coefficient model, and calculating to obtain an effective rainfall space-time sequence considering the space-time non-stationarity; according to the meteorological-hydrological-engineering coupling data set and the effective rainfall space-time sequence, carrying out multi-scale space-time characteristic engineering; establishing a multi-task physical constraint deep learning model of the shared feature extraction layer, and predicting the hydropower generation capacity; and carrying out tuning and online updating on hyper-parameters of the multi-task physical constraint deep learning model. By utilizing the scheme of the invention, the prediction precision and the model robustness are obviously improved, and reliable decision support is provided for hydropower dispatching of a complex drainage basin.

This invention relates to the field of hydropower energy optimization technology, specifically to a method, system, equipment, and medium for predicting the power generation capacity of cascade hydropower in a river basin based on the concept of energy banks and multi-dimensional feature engineering. The method first clearly defines the cascade hydropower generation capacity applicable to market analysis, defining it as an optimization problem of maximizing power generation under consideration of reservoir storage, future inflow, and multiple engineering constraints. Secondly, it establishes multi-dimensional feature engineering from four levels to provide high-quality input for subsequent accurate prediction. Finally, it establishes a TQnet model to capture the complex multiple periodicities, long-range dependencies, and key influencing factors in the power generation capacity sequence, achieving accurate prediction.

The invention relates to the technical field of hydroelectric energy system transition process and control, in particular to a stability analysis method and system for a pumped storage-wind power nonlinear coupling system, and the method comprises the steps: building a nonlinear mathematical model covering a pumped storage power station, a wind power station and a power grid, deducing a stability criterion based on a Hopf bifurcation theory, and analyzing the stability of the pumped storage-wind power nonlinear coupling system. Drawing a stability domain taking the speed regulator parameters as coordinates, and after phase space trajectory simulation verification, carrying out sensitivity analysis on key parameters based on the stability domain; the system correspondingly comprises a modeling module, a criterion derivation module, a stability domain drawing module, a verification module and a sensitivity analysis module. The method and the system can accurately identify the stability boundary of the coupling system, define the parameter influence rule, provide support for parameter optimization and accurate control of the system, guarantee cooperative stable operation of the two, and assist large-scale grid connection of renewable energy sources.

The application relates to the technical field of water and electricity energy prediction, and discloses a watershed water and electricity power generation prediction method based on multi-source data fusion and deep learning, which comprises the following steps: collecting data information of water and electricity stations in a watershed, performing data fusion and space-time alignment on the data information, and constructing a meteorology-hydrology-engineering coupled data set; a grid scale dynamic effective rainfall coefficient model is constructed, and an effective rainfall space-time sequence considering space-time non-stationarity is calculated; according to the meteorology-hydrology-engineering coupled data set and the effective rainfall space-time sequence, multi-scale space-time feature engineering is performed; a multi-task physical constraint deep learning model with a shared feature extraction layer is established to predict water and electricity power generation; and the hyperparameters of the multi-task physical constraint deep learning model are optimized and updated online. By using the application scheme, the prediction accuracy and the model robustness are significantly improved, and reliable decision support is provided for complex watershed water and electricity dispatching.

The invention relates to the technical field of hydroelectric energy system transition processes, in particular to a multi-frequency dynamic characteristic control method and system for a pumped storage-wind power combined system, and the method comprises the steps: building a 11-order nonlinear mathematical model based on a pumped storage power station, a wind power station and a power grid; decomposing the dynamic response of the power grid frequency relative deviation value by adopting a fast Fourier transform analysis method to obtain different frequency wavelets; the influence of the nine subsystem characteristic parameters on the frequency and amplitude of each wavelet is analyzed, and the coupling relation is determined. The system correspondingly comprises a model building module, a spectrum decomposition module and a coupling analysis module. According to the method, accurate splitting of the multi-frequency wavelets is achieved, the technical blank is filled, theoretical support is provided for control strategy design, and stable operation and multi-energy complementation of the system are assisted.

This invention relates to the field of hydropower control technology, specifically a method and apparatus for optimizing the configuration of parameters in a hydropower unit speed control system. The method includes: constructing a hydropower unit speed control system model; obtaining guidance indicators for the configuration of various parameters of the hydropower unit speed control system model through curve analysis; and configuring the parameters of the hydropower unit speed control system based on these guidance indicators. This invention utilizes historical data to generate curves and uses curve analysis to obtain parameter configuration guidance indicators. The analysis process is simple, effectively reducing the professional requirements for personnel. Furthermore, it allows for continuous updating and correction using historical data, effectively improving the accuracy, rationality, and adaptability of the optimized configuration of hydropower unit speed control system parameters. This plays a significant role in the stable operation of the unit and improving regulation quality, providing technical support and assurance for the safe and stable transmission of hydropower energy.

The invention relates to the technical field of hydroelectric energy automation control, in particular to a small hydropower station water level prediction and double-loop control method based on an improved LSTM (Long Short Term Memory) model, which comprises the following steps of: acquiring dam front water level, reservoir inflow, reservoir outflow and generator active power data in real time, and performing filtering and synchronous processing to form an input data set; reinforcing the reservoir flow characteristic weight through an improved LSTM model embedded with an attention mechanism, and outputting a water level prediction sequence; the outer ring takes the maximization of the total power generation income as a target, and generates a power setting instruction in combination with security constraint optimization; the inner ring drives the guide vane opening degree to be adjusted through a parameter self-tuning fuzzy PID controller so as to realize accurate power tracking; and updating data through closed-loop feedback, and circularly executing prediction, optimization and control. The water level prediction precision and the control response speed are improved, the operation safety and the power generation income are considered, and the automatic and intelligent operation requirements of the small hydropower station are met.

The application discloses a kind of monthly power generation capacity evaluation methods of hydropower station based on typical year optimization.The method comprises the following steps: constructing the total objective function of cascade hydropower station;The initial operation scheme of power generation of cascade hydropower station in wet, flat and dry typical year is optimized, and the optimized operation scheme of power generation of cascade hydropower station in wet, flat and dry typical year is obtained;The minimum monthly power generation capacity of hydropower station, the maximum theoretical monthly power generation output and the maximum monthly operation power generation output of hydropower station are obtained, and the maximum monthly power generation capacity of hydropower station is obtained based on the maximum theoretical monthly power generation output and the maximum monthly operation power generation output of hydropower station, to evaluate the monthly power generation capacity of hydropower station.The application uses the dynamic coupling check of theoretical value and practical value, so that the obtained monthly power generation capacity evaluation result of hydropower station covers the extreme working condition of hydropower station operation, and also considers the optimization operation experience of hydropower station, has engineering practicability and theoretical completeness, and can more effectively guide the optimization scheduling work of hydropower energy.

According to the compressed air pressurization pumped storage system and method, pressure containers are arranged in a layered mode from top to bottom, and each layer comprises one or more communicated pressure containers. A liquid level sensor is arranged in the pressure container, a pressure detection device is arranged in the pressure container located on the lowermost layer, and the liquid level sensor and the pressure detection device are in signal connection with the controller. The pressure container is connected with an external water source through a water conveying pipeline, and water driving equipment is arranged on the water conveying pipeline. The top of the inner cavity of the pressure container is communicated through a gas pipeline, and a valve for controlling on-off of a gas path is arranged on the pipeline. The method comprises an energy storage stage and an energy release stage, the pressure container is filled with water from top to bottom in the energy storage stage, and the pressure container is drained from bottom to top in the energy release stage. According to the system and method provided by the invention, the energy storage density in unit space is improved, and the total pressure fluctuation at the inlet of the water turbine can be effectively stabilized.

This invention discloses an underground hydrogen storage system coupled with pumped hydro storage, belonging to the field of underground hydrogen storage technology. The system includes a hydrogen production and compression unit, a pumped hydro storage-underground hydrogen storage geological pressure dual control unit, a hydrogen dissolution separation-heat closed-loop unit, an adsorption purification-regeneration unit, and a main controller. Each unit is controlled by the main controller to achieve system-wide adaptive regulation; the main controller incorporates a geological stress-hydrogen storage pressure dual-closed-loop PID control algorithm. This invention achieves deep coupling of pumped hydro storage and underground hydrogen storage through hydrogen-water coordinated flow matching, a graded geological buffer-sealed integrated structure, heat closed-loop recovery, and adsorbent recycling. It solves the problems of high geological risk, large pressure fluctuations, residual hydrogen extraction, and low energy utilization in existing underground hydrogen storage systems. It enables complete hydrogen extraction with no residue, and the system's heat closed-loop is self-sufficient, adapting to the intermittent power generation characteristics of renewable energy, and is suitable for large-scale green hydrogen storage and grid peak shaving.