A method and system for generating electricity based on wave kinetic energy

Abstract

The application belongs to the technical field of power generation, and discloses a method and system for generating power based on wave kinetic energy. The method comprises the following steps: obtaining the overall power generation of a wave power generation device and the power consumption demand of external power consumption equipment connected with the wave power generation device; when it is judged that the overall power generation does not meet the power consumption demand, generating an adjustment parameter, and dynamically scheduling the wave power generation device to regulate and control the power output of the wave power generation device to the external power consumption equipment. The application judges whether the overall power generation meets the power consumption demand by obtaining the overall power generation of the wave power generation device and synchronously obtaining the power consumption demand of the external power consumption equipment; when it is judged that the overall power generation does not meet the power consumption demand, an adjustment parameter is generated, and the wave power generation device is dynamically scheduled according to the adjustment parameter.

Description

Technical Field

[0001] This invention belongs to the field of power generation technology, specifically relating to a method and system for generating electricity based on wave kinetic energy. Background Technology

[0002] With the energy structure shifting towards cleaner and lower-carbon energy, the development and utilization of marine renewable energy has become an important direction for technological development. Wave energy is regarded as a promising green new energy source due to its huge reserves, wide distribution and high energy density. Wave energy can be used to provide power support for electrical equipment in offshore operating platforms, remote islands and other areas.

[0003] Current wave energy generation technologies lack the ability to perform refined monitoring and intelligent control across the entire power generation chain. Traditional power generation systems typically feed the electricity generated by wave energy generators directly into energy storage units, which then power the loads. The entire process lacks effective real-time sensing of key parameters such as the instantaneous dynamics of the waves, the real-time output power of the generators, and the actual power consumption of the external loads. This makes it impossible for the system to predict future power generation and consumption trends. When the power generation consistently falls below the load power consumption, the energy storage units run out of power, leading to unexpected power outages for the load equipment.

[0004] In addition, most existing energy management technologies use simple charge and discharge control logic based on fixed voltage thresholds, which cannot be adjusted according to dynamically changing wave conditions and load demands. This results in energy waste during periods of abundant wave energy, while intelligent scheduling is needed to ensure the continuous operation of critical loads during periods of scarce energy, leading to low overall energy conversion and utilization efficiency.

[0005] In view of this, the present invention proposes a method and system for generating electricity based on wave kinetic energy. Summary of the Invention

[0006] The present invention aims to provide a method and system for generating electricity based on wave kinetic energy that can reasonably recover wave kinetic energy and also intuitively obtain the maximum power generation of waves at different times through wave power generation devices, so as to facilitate power generation organizations to rationally plan power generation nodes.

[0007] The technical solution adopted by the present invention is as follows: A method for generating electricity based on wave kinetic energy, comprising the following steps: obtaining the overall power generation of the wave power generation device and the power consumption demand of the external power-consuming equipment connected to the wave power generation device; When it is determined that the overall power generation capacity does not meet the power demand, the following steps are executed: generating adjustment parameters; and dynamically scheduling the wave power generation device according to the adjustment parameters to regulate the power output of the wave power generation device to external power-consuming equipment. The process of generating adjustment parameters includes: obtaining a first verification parameter characterizing wave kinetic energy; determining whether the value of the first verification parameter is within the preset rated fluctuation limit range; and generating adjustment parameters based on the determination result and the rated power upper limit threshold.

[0008] Preferably, determining that the overall power generation does not meet the electricity demand includes: calculating the power balance difference between the overall power generation and the electricity demand; when the power balance difference is lower than a preset upper limit threshold of rated power, it is determined that the overall power generation does not meet the electricity demand.

[0009] Preferably, the first verification parameters include: wave frequency, wave amplitude, and the position coordinates of wave feature points.

[0010] Preferably, generating the adjustment parameter further includes: generating a second verification parameter based on the judgment result of whether the first verification parameter is within the rated fluctuation limit range; performing a pairing verification operation on the first verification parameter and the second verification parameter as source parameters based on a preset pairing rule to generate an updated verification parameter; and generating the adjustment parameter based on the updated verification parameter and the rated power upper limit threshold.

[0011] Preferably, the method further includes: constructing a power generation state model based on historical operating data; comparing real-time operating data with the predicted output of the power generation state model to generate a model correction amount, and updating the power generation state model according to the model correction amount; wherein, the step of generating adjustment parameters is to generate adjustment parameters based on the output of the updated power generation state model.

[0012] A system for generating electricity based on wave kinetic energy includes the following modules: a power generation assessment module, used to obtain the overall power generation of the wave power generation device; The power load monitoring module is used to obtain the power demand of external power-consuming equipment connected to the wave power generation device. The power generation model update module is used to build and update the power generation status model based on historical and real-time operating data. In addition, a power dispatch module is configured to generate adjustment parameters based on the power generation assessment module and the power load monitoring module in response to the output of the power generation assessment module and the power load monitoring module. When it is determined that the overall power generation does not meet the power demand, the module is configured to dynamically dispatch the wave power generation device according to the power generation status model output by the power generation model update module.

[0013] Preferably, the power generation assessment module is configured to: acquire multiple instantaneous displacement data of the wave power generation device within a preset time period; and construct multiple sampling points based on the multiple instantaneous displacement data. Centered on the time point corresponding to the instantaneous displacement data, multiple sampling time points are selected within a preset offset time range; the instantaneous power generation of the wave power generation device at multiple sampling time points is obtained; and the multiple instantaneous power generation are summarized and calculated to obtain the overall power generation.

[0014] Preferably, the power load monitoring module is configured to: collect the total power load data of external power-consuming equipment connected to the wave power generation device; and transmit the acquired power demand data to the power scheduling module.

[0015] Preferably, the power generation model update module is configured as follows: The real-time operating data is compared with the predicted output of the power generation state model to generate model corrections, and the power generation state model is updated based on the model corrections.

[0016] Preferably, the power dispatch module is configured to: calculate the power balance difference between the overall power generation and the power demand; when the power balance difference is lower than the preset rated power upper limit threshold, it is determined that the overall power generation does not meet the power demand. Beneficial effects

[0017] 1. The dynamic power generation scheduling method provided by this invention obtains the overall power generation of the wave power generation device and simultaneously obtains the power demand of external electrical equipment to determine whether the overall power generation meets the power demand. When it is determined that the overall power generation does not meet the power demand, adjustment parameters are generated, and the wave power generation device is dynamically scheduled according to the adjustment parameters. Therefore, by constructing a closed-loop control system, dynamic scheduling is actively carried out based on the power balance difference between the overall power generation and the power demand, to cope with the inherent intermittency and instability of wave kinetic energy and the dynamic changes in power demand, thereby ensuring the stability and continuity of power supply to external electrical equipment.

[0018] 2. In the process of generating adjustment parameters, this invention performs rated limit verification based on first verification parameters such as wave frequency and wave amplitude, which characterize wave kinetic energy, and generates second verification parameters; then, it performs paired verification operation on the first verification parameters and the second verification parameters to generate updated verification parameters for dynamic scheduling; and then comprehensively evaluates the real-time state of the waves and the power balance difference, avoiding reliance on a single parameter for judgment, which could lead to power fluctuations or scheduling delays.

[0019] 3. After the preset time period ends, the present invention constructs a power generation state model based on historical operating data; and in subsequent operating cycles, it uses real-time operating data to correct and update the power generation state model. The updated power generation state model will assist in generating adjustment parameters to guide the subsequent dynamic scheduling process. By introducing a self-learning mechanism, the power generation state model learns from historical operating data and continuously adjusts itself according to real-time operating data, making its predicted output and the generation of adjustment parameters closer to the real situation, improving the accuracy of adjustment parameters, and enabling the system to adapt to long-term sea state changes or equipment performance degradation. Attached Figure Description

[0020] Figure 1 This is an overall flowchart of the present invention; Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. It should be understood that the specific embodiments described herein are merely for explaining the invention and are not intended to limit the scope of protection of the invention.

[0022] Example 1

[0023] like Figure 1 As shown, this embodiment provides a method for generating electricity based on wave kinetic energy. Through a multi-level controlled energy conversion and scheduling strategy, wave kinetic energy is captured, converted, and output. According to real-time sea conditions and electricity demand, the method switches between different levels of operating modes to achieve a dynamic balance between power generation efficiency, equipment safety, and power supply stability.

[0024] The method specifically includes the following steps: Wave kinetic energy is collected using a wave kinetic energy harvesting device installed above the horizontal plane. During the wave kinetic energy harvesting process, the parameters characterizing the wave kinetic energy are acquired in real time by sensors installed on the wave kinetic energy harvesting device, and the parameters are defined as the first verification parameters. Specifically, the first verification parameters include: wave frequency, wave amplitude, and the position coordinates of wave feature points; among them, wave frequency and wave amplitude reflect the intensity and periodicity of incident wave energy; while wave feature points, such as the real-time three-dimensional coordinates of wave crests or troughs, are used to accurately determine the propagation direction and phase of the waves, providing key decision-making basis for coordinated power generation among multiple devices or adjusting the wave-facing attitude of a single device.

[0025] Furthermore, the first verification parameter is input into the energy conversion and analysis module to convert the collected wave kinetic energy into electrical energy; the energy conversion and analysis module calculates the overall power generation of the wave power generation device based on the first verification parameter; through this data processing flow, a stable power value that can represent the true power generation capacity is obtained, avoiding inaccurate power assessment due to instantaneous and drastic changes in waves; Specifically, within a preset time period, multiple instantaneous displacement data of the wave power generation device are acquired through displacement sensors; and the initial operating temperature of the wave power generation device at startup is recorded to compensate for sensor drift or changes in the efficiency of power generation components caused by heat generated during equipment operation or changes in ambient temperature. Then, based on multiple instantaneous displacement data and the initial operating temperature, a set of reference states associated with the specific displacement state and temperature benchmark of the equipment are established; the time points corresponding to the instantaneous displacement data are added to the set of time points to be processed to smooth the instantaneous fluctuations; taking each time point in the set of time points to be processed as the center, multiple sampling time points are selected within a preset offset time range, and the instantaneous power generation of the wave power generation device at multiple sampling time points is obtained. Finally, the instantaneous power generation data collected at each central time point will be aggregated and calculated. Through weighted averaging or integration, a stable and reliable overall power generation will be obtained. High-frequency noise and abnormal data points will be filtered out, so that the calculated overall power generation can accurately reflect the average power generation level within a short time window.

[0026] Furthermore, while calculating the power generation, the power of the external electrical equipment connected to the wave power generation device is collected to obtain the real-time power of the external electrical equipment; and the external power is calculated based on the accumulation of the real-time power over a time period; then, based on the preset rated power upper limit threshold and combined with the overall power generation and external power, it is determined whether the power demand is met, so as to ensure the safe and stable operation of the wave power generation device or the external electrical equipment. The above judgment process adopts an energy balance-based strategy to enhance the robustness of the decision. Specifically, a preset data collection period is set, and the external power consumed by the external electrical equipment during the preset data collection period is obtained. During the same preset data collection period, the overall power generation of the wave power generation device is obtained synchronously, and the total power generation is calculated. Then, the difference between the total power generation and the external power consumption during the period is calculated to obtain the power balance difference, which represents the energy surplus or deficit state during the period. Finally, the power balance difference is compared with the preset rated power upper limit threshold, and the comparison result is used to determine whether the power demand is met. If the power balance difference is positive and the overall power generation does not reach the preset rated power upper limit threshold, the power demand is met. If the power balance difference is negative, the power demand is not met. This judgment method avoids system misjudgment and unnecessary scheduling intervention caused by short-term peak impacts of external loads.

[0027] Furthermore, if the judgment result is that the power demand is met, the wave power generation device will continuously supply power to the external power-consuming equipment to maintain the current operating state; if the judgment result is that the power demand is not met, it is determined that the current power generation capacity does not match the power demand, and the dynamic scheduling process needs to be initiated and the next step executed.

[0028] Furthermore, based on the first verification parameters, such as wave frequency and wave amplitude, which characterize wave kinetic energy, a rated limit verification is performed, and the first verification parameters are input to the control and management module. By comparing the values ​​of each component of the first verification parameters with the preset rated fluctuation limit range, it is determined whether the current sea state is within the safe operating envelope of the equipment. This limit range defines the safe upper limit of wave amplitude and wave frequency to prevent extreme wave conditions from causing irreversible damage to the equipment structure. The control and management module generates a second verification parameter based on the judgment result. If the first verification parameter is within the limit range, the second verification parameter can be set as a normal status indicator; if it exceeds the range, the second verification parameter can be set as a specific quantitative value that represents the degree of exceedance.

[0029] Furthermore, before generating the final adjustment command, a pairing verification mechanism is introduced; specifically, the first verification parameter is defined as the source parameter, and based on a set of preset pairing rules, the source parameter and the second verification parameter are paired and verified to generate the updated verification parameter. The preset pairing rule is to balance power generation potential and equipment safety. When the source parameter such as the amplitude indicates that the current wave energy is greater than the preset high energy threshold, but the second verification parameter indicates that the equipment has reached the preset cumulative operating fatigue threshold, the pairing verification calculation will output an updated verification parameter containing a specific attenuation coefficient. This attenuation coefficient will be used to actively reduce the capture intensity of the energy harvesting system to ensure the long-term reliability of the equipment.

[0030] Furthermore, the updated verification parameters and the preset rated power upper limit threshold are input to the control management module; if the pairing verification operation is not performed, under normal operating conditions, the second verification parameter is used instead of the updated verification parameter for subsequent processing; the control management module generates adjustment parameters based on the input parameters and with reference to the internally stored control strategy set. Among them, the adjustment parameters are physical control commands that can be executed directly, such as the target speed of the generator set, the working pressure setting value of the hydraulic transmission system, or the pulse width modulation duty cycle of the power electronic converter.

[0031] Furthermore, the optimization cycle based on historical data enables the scheduling decision to be adaptive and forward-looking. After the system operation cycle ends, a power generation state model is established based on the historical operation data recorded during the cycle, including wave parameters, control commands, equipment status and actual power generation. This power generation state model is essentially a correlation data table describing the mapping relationship between wave conditions, control commands and power generation efficiency. In the next operating cycle, real-time operating data is acquired and used as query input to find or interpolate the corresponding expected power generation efficiency in the power generation state model. This expected efficiency is compared with the actual measured power generation efficiency to generate a model correction value. This model correction value is used to correct the power generation state model, for example by adjusting the weight of data points or adding new data records, thereby continuously improving the accuracy of the mapping relationship. When generating regulation parameters, the regulation and management module can query the updated power generation state model to predict the power generation effect of different regulation parameters under the current sea state, thereby selecting the optimal regulation parameters and realizing the performance evolution of the system from passive response to active prediction.

[0032] Furthermore, based on the final generated adjustment parameters, the wave power generation device is dynamically scheduled to precisely control the power output of the wave power generation device to external power-consuming equipment; to achieve a dynamic balance between power generation efficiency, equipment safety and power supply stability, and to ensure the safe operation of the wave power generation device under complex and ever-changing sea conditions.

[0033] Example 2

[0034] like Figure 2 As shown, this embodiment provides a dynamic power generation scheduling system based on wave kinetic energy. When the wave energy generation power does not match the power demand, the system dynamically schedules the wave power generation device by executing precise adjustment parameters to ensure the stability of the power supply.

[0035] In its implementation, this system can be a standalone power generation control terminal or integrated into a distributed offshore energy management platform. The power generation control terminal may include hardware such as a processor, memory, and communication interfaces, and connects to various sensors and actuators deployed on the wave power generation device via a data bus or wireless communication network. The system specifically includes the following modules: The power generation assessment module obtains the overall power generation of the wave power generation device, providing accurate power generation data for subsequent power balance judgment. In the specific execution process, statistical methods are used to assess the power level, avoiding the limitations of using a single instantaneous power reading. Specifically, within a preset time period, multiple instantaneous displacement data are continuously acquired from displacement sensors installed on the float or swing arm of the wave power generation device; based on these instantaneous displacement data, multiple sampling points are constructed, which can correspond to key positions in the device's motion trajectory, such as wave crests, troughs, or equilibrium positions. Then, taking the time point corresponding to the instantaneous displacement data as the center, multiple sampling time points are selected within a preset offset time range to capture the power change characteristics around the key motion state; then, the instantaneous power generation at multiple sampling time points is obtained from the power output terminal of the generator, and all the obtained instantaneous power generation is summarized and calculated, for example, by using a weighted average or arithmetic average method, so as to obtain the overall power generation that can smooth short-term fluctuations and better represent the current sea state.

[0036] The power load monitoring module acquires the power demand of external electrical equipment connected to the wave power generation device. It communicates with smart meters, current transformers, or load management centers on the side of the external electrical equipment to collect total power load data in real time or periodically. The power demand can be an instantaneous value or a short-term demand value predicted based on historical data and the current state. The acquired power demand data is transmitted to the power scheduling module as another key input for power balance judgment.

[0037] The power generation model update module constructs and continuously updates the power generation state model based on historical and real-time operating data to characterize the complex nonlinear relationship between wave input, such as wave amplitude, wave frequency and power output of the power generation device. It can use neural network model, support vector machine model or physical mechanism model. During the system initialization phase, a power generation state model is constructed based on a large amount of historical operational data, including wave parameters and corresponding power generation records under different sea conditions. During system operation, real-time collected operational data is used as input, such as real-time first verification parameters and the actual overall power generation calculated by the power generation assessment module. The real-time first verification parameters are input into the current power generation state model to obtain the predicted power generation output. By comparing this predicted output with the actual overall power generation, a model correction amount is generated. Then, based on the model correction, the model weights are adjusted through the backpropagation algorithm to update the power generation state model online; this ensures that the power generation state model can adapt to the drift of device performance and changes in environmental conditions, providing a more accurate decision-making basis for power dispatch.

[0038] The power scheduling module is the core of the entire system's decision-making and control. It integrates the outputs of other modules and is responsible for judging the supply and demand status, generating adjustment parameters, and executing dynamic scheduling. Its function can be decomposed into the following consecutive steps: The system performs a power balance assessment by receiving the overall power generation and electricity demand from the aforementioned modules and calculating the power balance difference between them. If the power balance difference is lower than the preset rated power upper limit threshold, the system determines that the overall power generation does not meet the electricity demand and triggers the subsequent parameter generation and scheduling process. If the power balance difference is lower than the preset upper limit of the rated power, such as when the power generation is significantly lower than the electricity demand, or when the power generation exceeds the demand by too much, it may lead to energy storage overload. Then, when the triggering conditions are met, the adjustment parameters are generated based on the updated power generation state model output by the power generation model update module. The model is used to perform deduction to determine the need to apply adjustment to the wave power generation device so that its output power reaches the desired target value.

[0039] To improve the robustness and accuracy of the adjustment, additional real-time first verification parameters characterizing the current wave kinetic energy will be acquired. These parameters include wave frequency, wave amplitude, and the position coordinates of wave feature points, which can be obtained from equipment such as wave radar or buoys. The values ​​of these first verification parameters will be determined to be within the preset rated fluctuation limits in order to assess the stability of the current sea state.

[0040] In one implementation, a second verification parameter is generated based on the above judgment result; then, based on a preset pairing rule, a pairing verification operation is performed between the first verification parameter, which is the source parameter, and the second verification parameter to generate an updated verification parameter; the original wave parameter is corrected or weighted according to the stability of the sea state, and the dependence weight on the instantaneous wave parameter is reduced when the sea state is unstable; then, based on the updated verification parameter, and combined with the output of the power generation state model and the power balance difference, the final adjustment parameter is generated.

[0041] Finally, dynamic scheduling is executed, and the generated adjustment parameters are transformed into specific control commands for the wave power generation device. Adjustments are made to the damping coefficient of the energy capture unit, the valve opening of the hydraulic system is changed, or the excitation current of the generator is switched. These commands are sent to the actuator of the wave power generation device through the control interface, thereby enabling precise and closed-loop control of the power output of the device to external electrical equipment.

[0042] Through the collaborative work of the above modules, the system in this embodiment can perceive the status of both power generation and power consumption in real time, make intelligent decisions using a dynamically updated model, and achieve precise dynamic control of the output power of the wave power generation device through a multi-parameter verification mechanism.

Claims

1. A method for generating electricity based on wave kinetic energy, characterized in that, The steps include: obtaining the overall power generation capacity of the wave power generation device and the power demand of the external electrical equipment connected to the wave power generation device; When it is determined that the overall power generation capacity does not meet the electricity demand, execute the following: Generate adjustment parameters; And based on the adjustment parameters, the wave power generation device is dynamically scheduled to regulate the power output of the wave power generation device to external electrical equipment; The process of generating adjustment parameters includes: obtaining a first verification parameter characterizing wave kinetic energy; determining whether the value of the first verification parameter is within the preset rated fluctuation limit range; and generating adjustment parameters based on the determination result and the rated power upper limit threshold.

2. The method for generating electricity based on wave kinetic energy according to claim 1, characterized in that, Determining whether the overall power generation capacity does not meet the electricity demand includes: calculating the power balance difference between the overall power generation capacity and the electricity demand; when the power balance difference is lower than the preset upper limit threshold of the rated power, it is determined that the overall power generation capacity does not meet the electricity demand.

3. The method for generating electricity based on wave kinetic energy according to claim 1, characterized in that, The first verification parameters include: Wave frequency, wave amplitude, and the coordinates of the location of wave feature points.

4. The method for generating electricity based on wave kinetic energy according to claim 1, characterized in that, The generation of adjustment parameters further includes: generating a second verification parameter based on the judgment result of whether the first verification parameter is within the rated fluctuation limit range; Based on preset pairing rules, the first verification parameter and the second verification parameter, which are used as source parameters, are paired and verified to generate updated verification parameters; and based on the updated verification parameters and the rated power upper limit threshold, adjustment parameters are generated.

5. A method for generating electricity based on wave kinetic energy according to claim 1, characterized in that, The method also includes: constructing a power generation state model based on historical operating data; comparing real-time operating data with the predicted output of the power generation state model to generate model correction values, and updating the power generation state model according to the model correction values; wherein, the step of generating adjustment parameters is to generate adjustment parameters based on the output of the updated power generation state model.

6. A system for generating electricity based on wave kinetic energy, characterized in that, It includes the following modules: Power generation assessment module, used to obtain the overall power generation of the wave power generation device; The power load monitoring module is used to obtain the power demand of external power-consuming equipment connected to the wave power generation device. The power generation model update module is used to build and update the power generation status model based on historical and real-time operating data. In addition, a power dispatch module is configured to generate adjustment parameters based on the power generation assessment module and the power load monitoring module in response to the output of the power generation assessment module and the power load monitoring module. When it is determined that the overall power generation does not meet the power demand, the module is configured to dynamically dispatch the wave power generation device according to the power generation status model output by the power generation model update module.

7. A system for generating electricity based on wave kinetic energy according to claim 6, characterized in that, The power generation assessment module is configured to: acquire multiple instantaneous displacement data of the wave power generation device within a preset time period; and construct multiple sampling points based on the multiple instantaneous displacement data. Centered on the time point corresponding to the instantaneous displacement data, multiple sampling time points are selected within a preset offset time range; the instantaneous power generation of the wave power generation device at multiple sampling time points is obtained; and the multiple instantaneous power generation are summarized and calculated to obtain the overall power generation.

8. A system for generating electricity based on wave kinetic energy according to claim 6, Its features are, The power load monitoring module is configured to: collect the total power load data of external power devices connected to the wave generator; and transmit the acquired power demand data to the power dispatch module.

9. A system for generating electricity based on wave kinetic energy according to claim 6, characterized in that, The power generation model update module is configured as follows: The real-time operating data is compared with the predicted output of the power generation state model to generate model corrections, and the power generation state model is updated based on the model corrections.

10. A system for generating electricity based on wave kinetic energy according to claim 6, characterized in that, The power scheduling module is configured as follows: Calculate the power balance difference between the overall power generation and the power demand; when the power balance difference is lower than the preset upper limit threshold of the rated power, it is determined that the overall power generation does not meet the power demand.

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