Power generation method based on offshore seabed power generation and energy storage integrated energy system

Abstract

The invention provides a power generation method based on an offshore seabed power generation and energy storage integrated energy system. The method comprises the following steps: acquiring historical power consumption data of all users on an island, and predicting the predicted total power consumption of a target time period according to the historical power consumption data; the predicted total electricity consumption and the power generation efficiency of the steam turbine generator are input into the depth prediction model, and the single inflation volume of each flexible constant-pressure air storage bag is output; the air compressor compresses air corresponding to the single inflation volume and stores the air in the flexible constant-pressure air storage bags. All the flexible constant-pressure air storage bags are controlled to be opened, the steam turbine generator is driven by compressed air released by the flexible constant-pressure air storage bags to rotate, and electric energy used by a user is obtained through conversion. The seabed pressure and tidal energy are utilized, renewable energy power generation and the compressed air energy storage technology are combined, the intermittent problem of island renewable energy power generation is solved, the defect that storage is not facilitated due to low energy density of compressed air energy storage is overcome, and continuous supply of energy is ensured.

Description

Technical Field

[0001] The present invention relates to the field of new energy technologies, and in particular to a power generation method based on an offshore seabed power generation and energy storage integrated energy system. Background Art

[0002] Due to the space limitations of small islands and their independence from the inland main power grid, energy is limited, making it difficult to provide long-term and stable power supply for the garrison personnel. Although traditional fossil energy can be used as a temporary energy station, it is consumed very quickly and is not conducive to long-term use. Therefore, it is urgent to find a new energy supply. Islands and their surrounding waters are rich in renewable energy resources such as solar energy, wind energy and ocean energy. However, their intermittent, unstable and unpredictable nature brings challenges to the power supply of isolated islands.

[0003] It can be seen that there is an urgent need for an offshore energy system that integrates power generation and energy storage, and the technical solution of the present invention is intended to solve this technical problem. Summary of the invention

[0004] In order to solve the technical problems existing in the above-mentioned background technology, the present invention provides a power generation method based on an offshore seabed power generation and energy storage integrated energy system, the offshore seabed power generation and energy storage integrated energy system comprises an underwater turbine generator device, an air compressor, a flexible constant pressure air storage bag, and a steam turbine generator; The underwater turbine generator device is used to convert the first electric energy from the undercurrent on the seabed; the air compressor is used to suck air from the sea level under the drive of the first electric energy, and compress the sucked air and store it in a flexible constant pressure air storage bag; the flexible constant pressure air storage bag is used to release the compressed air stored inside to the steam turbine generator on the shore; the steam turbine generator is used to rotate under the drive of the compressed air released by the flexible constant pressure air storage bag, and convert it into the second electric energy for the user; The method comprises the following steps: Obtain historical electricity consumption data of all users on the island, and predict the total electricity consumption in the target period based on the historical electricity consumption data; Inputting the predicted total power consumption and the power generation efficiency of the steam turbine generator into a deep prediction model, the deep prediction model outputting a single inflation volume of each of the flexible constant pressure air storage bags; The air compressor compresses the air corresponding to the single inflation amount based on the first electrical energy and stores the air in each of the flexible constant pressure air storage bags; Each of the flexible constant-pressure air storage bags is controlled to open, and the steam turbine generator is driven to rotate by the compressed air released by the flexible constant-pressure air storage bags, and converted into the second electric energy for use by the user.

[0005] Optionally, a plurality of the flexible constant-pressure air storage bags are provided, and the air compressor pressurizes and inflates each of the flexible constant-pressure air storage bags one by one.

[0006] Optionally, the air compressor is also used to compress the air sucked in from the sea level to a target pressure by step-by-step pressurization, and the target pressure is the inward pressure of the seawater at the depth where the flexible constant pressure air storage bag is located.

[0007] Optionally, the steam turbine generator further includes an expander, which utilizes the compressed air released by the flexible constant pressure air storage bag to drive the steam turbine to rotate.

[0008] Optionally, the offshore seabed integrated power generation and energy storage system further includes an island indoor heating and cooling system, and the island indoor heating and cooling system is respectively connected to the air compressor and the expander.

[0009] Optionally, the depth prediction model is trained in the following manner: Determine a second number of collaborative training nodes based on a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and select a plurality of collaborative training nodes corresponding to the second number in the blockchain network; Sending a collaborative training request to each of the collaborative training nodes, wherein the collaborative training request includes the depth prediction model and a specified format of the training data; Each of the collaborative training nodes assembles a set of training data based on the specified format, and uses the training data to independently train the depth prediction model, and feeds back the main model parameters of the depth prediction model that meets the training standards; The received main model parameters are fused to obtain the target model parameters, the target model parameters are input into the depth prediction model, and the local training data is used to perform secondary training and testing on it until it meets the requirements.

[0010] Optionally, the format of the training data is [single gas filling amount matrix, measured power generation amount matrix, label: power quality index data]; wherein the single gas filling amount matrix includes multiple single gas filling quantum matrices.

[0011] Optionally, the determining the second number of collaborative training nodes according to the first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system includes: Determine a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and obtain a second number of collaborative training nodes based on matching the first number with corresponding positive correlation control data.

[0012] The beneficial effects of the present invention are: The present invention combines compressed air energy storage with the principle of hydrostatic pressure of Pascal's law. In the sea area near offshore islands, it utilizes seabed pressure and tidal energy to combine renewable energy power generation with compressed air energy storage technology, thereby overcoming the intermittent problem of renewable energy power generation on isolated islands and the low energy density of compressed air energy storage that is not conducive to storage, thereby ensuring a continuous supply of energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0014] Figure 1 It is a structural schematic diagram of an offshore seabed power generation and energy storage integrated energy system disclosed in an embodiment of the present invention.

[0015] Figure 2 It is a schematic diagram of the structure and principle of the flexible constant pressure air storage bag disclosed in an embodiment of the present invention.

[0016] Figure 3 It is a schematic diagram of the structure and principle of the air compressor disclosed in the embodiment of the present invention.

[0017] Figure 4 It is a flow chart of a power generation method based on an offshore seabed power generation and energy storage integrated energy system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0019] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0021] In the description of the present invention, it should be noted that if the terms "upper", "lower", "inside", "outside", etc. appear to indicate an orientation or position relationship, they are based on the orientation or position relationship shown in the accompanying drawings, or are the orientation or position relationship in which the product of the invention is usually placed when used. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0022] It should be noted that, in the absence of conflict, the features in the embodiments of the present invention may be combined with each other.

[0023] like Figure 1 , Figure 2 , Figure 3 As shown, the embodiment of the present invention discloses an offshore seabed power generation and energy storage integrated energy system, the system includes an underwater turbine generator device, an air compressor, a flexible constant pressure air storage bag, and a steam turbine generator; wherein, The underwater turbine generator device is used to convert the first electric energy from the seabed undercurrent; The air compressor is used to inhale air from the sea level under the drive of the first electrical energy, and compress the inhaled air and store it in a flexible constant pressure air storage bag; The flexible constant pressure air storage bag is used to release the compressed air stored inside to the steam turbine generator on shore; The steam turbine generator is used to rotate under the driving force of the compressed air released by the flexible constant pressure air storage bag, and convert it into a second electric energy for use by the user.

[0024] Compressed air energy storage (CAES) uses electricity as the driving energy of the air compressor, compressing a large amount of air into a pre-selected closed air storage chamber, and converting electrical energy into air pressure energy. During the energy release period, the stored air dynamic energy is converted into mechanical energy or electrical energy again by releasing high-pressure air to drive the expander. Currently, commercial air storage chambers are concentrated in abandoned underground caves or large-capacity artificially constructed closed containers, which require a large amount of land area.

[0025] The present invention transfers the air energy storage system, which was originally limited to being built on land and requires a large amount of space, to the seabed. This not only solves the defect that the land area of ​​a small island is not enough to build a traditional air energy storage system, but also overcomes the defects of intermittent, unstable and unpredictable marine new energy. Different from the traditional air energy storage technology route, the present invention uses a flexible constant pressure air storage bag as an energy storage body on the seabed, and uses the natural pressure of the seabed to apply to the air storage bag, which can greatly reduce the risk of expansion and explosion of the energy storage tank caused by the low ductility of the material; due to the blessing of the natural pressure of the seabed, the energy density of the air storage bag also increases with the deepening of the depth, which can realize a large amount of energy storage, thereby providing a steady supply of energy for the steam turbine generator, thereby ensuring the continuous supply of energy.

[0026] like Figure 4 As shown, based on the above-mentioned offshore seabed power generation and energy storage integrated energy system, the present invention provides a power generation method based on the above-mentioned system, based on the offshore seabed power generation and energy storage integrated energy system including an underwater turbine generator device, an air compressor, a flexible constant pressure air storage bag, and a steam turbine generator; The underwater turbine generator device is used to convert the first electric energy from the undercurrent on the seabed; the air compressor is used to suck air from the sea level under the drive of the first electric energy, and compress the sucked air and store it in a flexible constant pressure air storage bag; the flexible constant pressure air storage bag is used to release the compressed air stored inside to the steam turbine generator on the shore; the steam turbine generator is used to rotate under the drive of the compressed air released by the flexible constant pressure air storage bag, and convert it into the second electric energy for the user; The method comprises the following steps: Obtain historical electricity consumption data of all users on the island, and predict the total electricity consumption in the target period based on the historical electricity consumption data; Inputting the predicted total power consumption and the power generation efficiency of the steam turbine generator into a deep prediction model, the deep prediction model outputting a single inflation volume of each of the flexible constant pressure air storage bags; The air compressor compresses the air corresponding to the single inflation amount based on the first electrical energy and stores the air in each of the flexible constant pressure air storage bags; Each of the flexible constant-pressure air storage bags is controlled to open, and the steam turbine generator is driven to rotate by the compressed air released by the flexible constant-pressure air storage bags, and converted into the second electric energy for use by the user.

[0027] In this embodiment, the amount of compressed air stored in the flexible constant pressure air storage bag will directly affect the amount of electricity it can generate (the amount of compressed air and the amount of power generated are not a simple linear relationship), and the amount of power generated is preferably matched with the total power consumption of all users on the island, so as to avoid power shortages and reduce the processing operations of excess electricity (such as pumped storage).

[0028] In this regard, the present invention is configured to predict the total power consumption in the target period based on the historical power consumption data of all users on the island where the offshore seabed power generation and energy storage integrated energy system is deployed. The target period can be in hours, and of course it can also be other time units (such as half a day). The present invention is not specifically limited. The predicted total power consumption and the power generation efficiency of the steam turbine generator are input into a pre-constructed deep prediction model, and the single inflation volume of each flexible constant pressure air storage bag is predicted by the deep prediction model, and then the air compressor is controlled to compress the air corresponding to the single inflation volume and store it in the flexible constant pressure air storage bag. Such a configuration can ensure that the power generation of the offshore seabed power generation and energy storage integrated energy system in the target period is closest to the actual total power consumption.

[0029] Specifically, the expected power generation is obtained according to the input predicted total power consumption and the power generation efficiency of the steam turbine generator, and the expected power generation is input into the trained deep prediction model, which can predict the optimal single inflation volume of each flexible constant pressure air storage bag of the offshore seabed power generation and energy storage integrated energy system. By setting the inflation volume of each flexible constant pressure air storage bag of the offshore seabed power generation and energy storage integrated energy system to the single inflation volume obtained by the above prediction, it can be achieved that while ensuring that the steam turbine generator generates the expected amount of power, the power quality index is also within a reasonable range.

[0030] It should be noted that the depth prediction model can be a model based on a neural network algorithm such as Transformer and Resnet, and the present invention does not limit its specific structure.

[0031] Optionally, a plurality of the flexible constant-pressure air storage bags are provided, and the air compressor pressurizes and inflates each of the flexible constant-pressure air storage bags one by one.

[0032] Optionally, the air compressor is also used to compress the air sucked in from the sea level to a target pressure by step-by-step pressurization, and the target pressure is the inward pressure of the seawater at the depth where the flexible constant pressure air storage bag is located.

[0033] Optionally, the steam turbine generator further includes an expander, which utilizes the compressed air released by the flexible constant pressure air storage bag to drive the steam turbine to rotate.

[0034] Optionally, the offshore seabed integrated power generation and energy storage system further includes an island indoor heating and cooling system, and the island indoor heating and cooling system is respectively connected to the air compressor and the expander.

[0035] The air compressor generates heat energy when compressing air, and the expander generates cold energy when releasing air. Connecting the island's indoor heating and cooling system with the compressor and expander can achieve higher "energy utilization efficiency".

[0036] Optionally, the depth prediction model is trained in the following manner: Determine a second number of collaborative training nodes based on a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and select a plurality of collaborative training nodes corresponding to the second number in the blockchain network; Sending a collaborative training request to each of the collaborative training nodes, wherein the collaborative training request includes the depth prediction model and a specified format of the training data; Each of the collaborative training nodes assembles a set of training data based on the specified format, and uses the training data to independently train the depth prediction model, and feeds back the main model parameters of the depth prediction model that meets the training standards; The received main model parameters are fused to obtain the target model parameters, the target model parameters are input into the depth prediction model, and the local training data is used to perform secondary training and testing on it until it meets the requirements.

[0037] In this embodiment, the present invention uses a distributed training method to train the deep prediction model. First, the second number of collaborative training nodes is determined based on the first number of flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and then the second number of multiple collaborative training nodes are screened in the blockchain network. Then, the specified format of the deep prediction model to be trained and the training data are sent to each collaborative node, and these collaborative nodes collect the training data according to the specified format, and use the collected training data to train the deep prediction model, so as to obtain the main model parameters of the deep prediction model after the training meets the standards. The local node then fuses these main model parameters, such as performing mean calculation, to obtain the target model parameters. The target model parameters are input into the deep prediction model, and the local training data is used to perform secondary training and testing on it until it meets the standards.

[0038] Among them, the main model parameters vary depending on the algorithm adopted by the deep prediction model. For example, if the deep prediction model is built based on Transformer, its main model parameters include but are not limited to weights, biases, hyperparameters (input and output sequence length, vocabulary size, hidden layer size, number of attention heads, feedforward network width, training batch size, etc.); if the deep prediction model is built based on Resnet, its main model parameters include but are not limited to the weights and biases of each layer such as convolutional layer, batch normalization layer, fully connected layer, learning rate, the number of samples used in each training iteration, the number of training rounds, etc.

[0039] Optionally, the format of the training data is [single gas filling amount matrix, measured power generation amount matrix, label: power quality index data]; wherein the single gas filling amount matrix includes multiple single gas filling quantum matrices.

[0040] In this embodiment, the format of the training data for each collaborative training node to train the deep prediction model is [single inflation volume matrix, measured power generation matrix, label: power quality index data]. The single inflation volume matrix includes the single inflation volume of all flexible constant pressure air storage bags included in the offshore seabed power generation and energy storage integrated energy system, and the single inflation volume of each flexible constant pressure air storage bag is different; and the power quality index data is used as the label data of the training data, and the power quality index data is, for example, voltage deviation, total harmonic distortion rate, etc.

[0041] Optionally, the determining the second number of collaborative training nodes according to the first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system includes: Determine a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and obtain a second number of collaborative training nodes based on matching the first number with corresponding positive correlation control data.

[0042] In this embodiment, when the first number of flexible constant pressure air storage bags arranged in the system is larger, the structure of the energy system is more complex and the control difficulty is greater. At this time, the second number of collaborative training nodes is correspondingly larger, that is, more collaborative training nodes are used to train the deep prediction model, which can improve the prediction accuracy of the deep prediction model. When the first number of flexible constant pressure air storage bags arranged in the system is smaller, the structure of the energy system is relatively simpler and the control difficulty is relatively smaller. At this time, the second number of collaborative training nodes is correspondingly smaller, that is, fewer collaborative training nodes are used to train the deep prediction model, which can improve the training efficiency.

[0043] When the above system of the present invention is in operation, the underwater turbine generator device obtains electrical energy from the undercurrent of the seabed, and then the electrical energy drives the air compressor to suck air from the sea level, and then gradually pressurizes it to the inward pressure of the seawater on the air storage bag at the current depth (the inward pressure at a depth of about 700m is about 7MP). When one air storage bag is full, the next air storage bag is pressurized and inflated. When the pressurized air is released, the air quickly rushes from the seabed to the expander on the shore to drive the steam turbine generator to start, providing a continuous supply of electricity. The energy conversion process can be simply divided into tidal energy → electrical energy → potential energy → electrical energy.

[0044] According to current theoretical data, assuming that the turbine generator runs for 4 hours a day, all the electricity generated will be input into the air compressor to the flexible air storage bag. If the air storage bag is at a depth of 700m, the theoretical internal pressure reaches 7MP. When released, the theoretical released air pressure is 7MPa. According to laboratory data, when the 7MPa air storage tank releases pressure, the turbine speed can be stabilized at 1500rpm, which can drive a megawatt-class turbine generator. A 10MW compressed air system can generate about 40,000 kWh of electricity a day, which can meet the daily electricity needs of 3,000 households.

[0045] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A power generation method based on an offshore seabed power generation and energy storage integrated energy system, characterized in that: The offshore seabed power generation and energy storage integrated energy system includes an underwater turbine generator device, an air compressor, a flexible constant pressure air storage bag, and a steam turbine generator; The underwater turbine generator device is used to convert the first electric energy from the undercurrent on the seabed; the air compressor is used to suck air from the sea level under the drive of the first electric energy, and compress the sucked air and store it in a flexible constant pressure air storage bag; the flexible constant pressure air storage bag is used to release the compressed air stored inside to the steam turbine generator on the shore; the steam turbine generator is used to rotate under the drive of the compressed air released by the flexible constant pressure air storage bag, and convert it into the second electric energy for the user; The method comprises the following steps: Obtain historical electricity consumption data of all users on the island, and predict the total electricity consumption in the target period based on the historical electricity consumption data; Inputting the predicted total power consumption and the power generation efficiency of the steam turbine generator into a deep prediction model, the deep prediction model outputting a single inflation volume of each of the flexible constant pressure air storage bags; The air compressor compresses the air corresponding to the single inflation amount based on the first electrical energy and stores the air in each of the flexible constant pressure air storage bags; Each of the flexible constant-pressure air storage bags is controlled to open, and the steam turbine generator is driven to rotate by the compressed air released by the flexible constant-pressure air storage bags, and converted into the second electric energy for use by the user.

2. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to claim 1, characterized in that: A plurality of the flexible constant-pressure air storage bags are provided, and the air compressor pressurizes and inflates each of the flexible constant-pressure air storage bags one by one.

3. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to claim 2, characterized in that: The air compressor is also used to compress the air sucked in from the sea level to a target pressure by step-by-step pressurization, and the target pressure is the inward pressure of the seawater at the depth where the flexible constant pressure air storage bag is located.

4. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to claim 3, characterized in that: The steam turbine generator also includes an expander, which uses the compressed air released by the flexible constant pressure air storage bag to drive the steam turbine to rotate.

5. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to any one of claims 1 to 4, characterized in that: The offshore seabed power generation and energy storage integrated energy system also includes an island indoor heating and cooling system, and the island indoor heating and cooling system is respectively connected to the air compressor and the expander.

6. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to claim 5, characterized in that: The depth prediction model is trained in the following way: Determine a second number of collaborative training nodes based on a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and select a plurality of collaborative training nodes corresponding to the second number in the blockchain network; Sending a collaborative training request to each of the collaborative training nodes, wherein the collaborative training request includes the depth prediction model and a specified format of the training data; Each of the collaborative training nodes assembles a set of training data based on the specified format, and uses the training data to independently train the depth prediction model, and feeds back the main model parameters of the depth prediction model that meets the training standards; The received main model parameters are fused to obtain the target model parameters, the target model parameters are input into the depth prediction model, and the local training data is used to perform secondary training and testing on it until it meets the requirements.

7. A power generation method based on an offshore seabed power generation and energy storage integrated energy system according to claim 6, characterized in that: The format of the training data is [single gas filling amount matrix, measured power generation amount matrix, label: power quality index data]; wherein the single gas filling amount matrix includes multiple single gas filling quantum matrices.

8. The power generation method based on the offshore seabed power generation and energy storage integrated energy system according to claim 6, characterized in that: The method of determining the second number of collaborative training nodes according to the first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system includes: Determine a first number of the flexible constant pressure air storage bags deployed in the offshore seabed power generation and energy storage integrated energy system, and obtain a second number of collaborative training nodes based on matching the first number with corresponding positive correlation control data.

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