Distributed energy scheduling method, device and equipment, readable storage medium and product

Abstract

The invention relates to a distributed energy scheduling method, device and equipment, a readable storage medium and a product. The method comprises the following steps: receiving an initial scheduling instruction corresponding to a scheduling terminal; the initial scheduling instruction is used for indicating the scheduling terminal to perform resource scheduling on at least one managed distributed energy source; acquiring power generation performance data of at least one distributed energy managed by the scheduling terminal; according to the power generation performance data of the at least one distributed energy source, adjusting the initial scheduling instruction to obtain a target scheduling instruction corresponding to each distributed energy source; and performing resource scheduling on the corresponding distributed energy according to the target scheduling instruction corresponding to each distributed energy. By adopting the method, the distributed energy scheduling accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a distributed energy scheduling method, device, equipment, readable storage medium and product. Background Art

[0002] With the development of power system technology, various types of distributed energy will be connected to the distribution network in large numbers. In the future, urban distribution networks will transform into diversified and integrated distribution networks, and the types of access resources will be more diverse. However, their access is also accompanied by new challenges to the stable operation of the power system.

[0003] In order to ensure the stable operation of the power system, a distributed energy intelligent control system has emerged. Based on the distributed energy intelligent control system, the resources of each distributed energy are dispatched. However, at present, the distributed energy intelligent control system is not accurate in its resource dispatch strategy for distributed energy, which needs to be solved urgently. Summary of the invention

[0004] Based on this, it is necessary to provide a distributed energy scheduling method, device, equipment, readable storage medium and product that can improve the accuracy of distributed energy scheduling in response to the above technical problems.

[0005] In a first aspect, the present application provides a distributed energy scheduling method, comprising:

[0006] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0007] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0008] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0009] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0010] In one embodiment, the initial dispatching instruction is adjusted according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source, including:

[0011] With the goal of maximizing the resource increment of at least one distributed energy source, adjusting the power generation performance data of at least one distributed energy source to obtain corrected power generation performance data;

[0012] According to the corrected power generation performance data of at least one distributed energy source, the initial scheduling instruction is adjusted to obtain the target scheduling instruction corresponding to each distributed energy source.

[0013] In one embodiment, with the goal of maximizing the resource increment of at least one distributed energy source, adjusting the power generation performance data of at least one distributed energy source to obtain the corrected power generation performance data includes:

[0014] Taking the maximum resource gain data of at least one distributed energy source as the goal, construct an objective function corresponding to the dispatch terminal;

[0015] Determine the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each distributed energy source;

[0016] Based on the constraint conditions, the objective function is solved to obtain the corrected power generation performance data of at least one distributed energy source.

[0017] In one embodiment, the objective function includes a first function and a second function; accordingly, taking the maximum resource gain data of at least one distributed energy source as the goal, constructing the objective function corresponding to the scheduling terminal includes:

[0018] A first function is constructed with the goal of minimizing the resource output cost of at least one distributed energy source;

[0019] A second function is constructed with the goal of maximizing resource output gain of at least one distributed energy source;

[0020] The difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

[0021] In one embodiment, at least one distributed energy source includes a first type of energy source, a second type of energy source, and a third type of energy source, and the resource output types of the first type of energy source, the second type of energy source, and the third type of energy source are different; accordingly, with the goal of minimizing the resource output cost of at least one distributed energy source, a first function is constructed, including:

[0022] Determining a first variable according to the unit resource output power of each of the first-type energy sources;

[0023] Determine a second variable according to the value attribute information, unit resource output gain and unit resource output power of each of the second-type energy sources;

[0024] Determining a third variable according to the unit resource output power of each of the third type of energy and the power transmission efficiency of each of the first receivers corresponding to the third type of energy;

[0025] The sum of the first variable, the second variable and the third variable is used as the first function.

[0026] In one embodiment, the resource output gain includes a first type of gain and a second type of gain, and the first type of gain and the second type of gain have different gain sources; accordingly, with the highest resource output gain of at least one distributed energy source as the goal, a second function is constructed, including:

[0027] Determining a fourth variable according to the unit resource output power of the energy storage unit of each of the distributed energy sources;

[0028] Determining a fifth variable according to the unit resource received power of each second receiver corresponding to each distributed energy source;

[0029] The sum of the fourth variable and the fifth variable is used as the second function.

[0030] In a second aspect, the present application also provides a distributed energy scheduling device, including:

[0031] An instruction receiving module is used to receive an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and

[0032] A data acquisition module, used to acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0033] An instruction adjustment module, used to adjust the initial scheduling instruction according to the power generation performance data of at least one distributed energy source, so as to obtain a target scheduling instruction corresponding to each distributed energy source;

[0034] The resource scheduling module is used to schedule the resources of the corresponding distributed energy according to the target scheduling instructions corresponding to each distributed energy.

[0035] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0036] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0037] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0038] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0039] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0040] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0041] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0042] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0043] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0044] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0045] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0046] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0047] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0048] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0049] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0050] The above-mentioned distributed energy scheduling method, device, equipment, readable storage medium and product, after the scheduling terminal receives the corresponding initial scheduling instruction, does not directly respond to the initial scheduling instruction to perform resource scheduling on at least one distributed energy managed by it, but adjusts the initial scheduling instruction according to the power generation performance data of at least one distributed energy, thereby determining the target scheduling instruction corresponding to each distributed energy. Further, according to the target scheduling instruction corresponding to each distributed energy, the corresponding distributed energy is scheduled for resources. Compared with the method of directly scheduling distributed energy resources according to the initial scheduling instruction in the prior art, the above process can make the resource scheduling of distributed energy more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A schematic diagram of a distributed energy scheduling method in one embodiment;

[0053] Figure 2 A schematic flow chart of target scheduling instruction generation steps in one embodiment;

[0054] Figure 3 It is a flowchart of the power generation performance data correction step in one embodiment;

[0055] Figure 4 It is a structural block diagram of a distributed energy scheduling device in one embodiment;

[0056] Figure 5 It is a structural block diagram of a distributed energy scheduling device in another embodiment;

[0057] Figure 6 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0059] Before introducing the distributed energy dispatching method provided by the present application, it should be noted that in the future, urban distribution networks will transform into diversified integrated distribution networks, and the types of access resources will be more diverse: from one-way uncontrollable loads to controllable demand response resources and two-way interactive energy storage, electric vehicles and distributed power generation. These two-way interactive distributed energy sources are known for their flexibility, distributed layout and efficient interaction with loads. However, their access is also accompanied by new challenges to the stable operation of the power system. The primary challenge is that the energy supply of two-way interactive distributed energy sources is uncertain and intermittent, which may pose a threat to the stable supply of power loads. Secondly, their access fundamentally changes the architecture of traditional distribution networks and adds complexity to the operation control strategy of the power grid and the parameter setting of protection equipment. Furthermore, the various power electronic conversion devices involved in the grid-connected process of two-way interactive distributed energy will generate harmonics, which will increase the harmonic level of the distribution network, thereby adversely affecting the quality of electric energy. Therefore, scientific and reasonable regulation Distributed Energy Resource (DER) is particularly important. It is not only the key to promoting efficient energy utilization, but also an important way to alleviate the current dual pressures of energy shortage and environmental protection. It has far-reaching strategic significance.

[0060] From the perspective of the distribution network system, the distributed energy intelligent control system is a kind of distributed resource that integrates distributed generation resources, energy storage equipment, electric vehicles and user-adjustable loads, which can realize the efficient use of various two-way interactive distributed energy, and at the same time realize the flexible control of the power system and the protection of the environment. In terms of renewable energy utilization, by combining various distributed generation and energy storage technologies, it is possible to achieve efficient use of various distributed energy sources and reduce dependence on traditional energy. For system costs, the design of distributed interactive resource control intelligent terminals can save the comprehensive energy cost of the power system and improve energy utilization efficiency. For electricity users, the distributed interactive resource control intelligent terminal allows users to see the data displayed on the terminal through the human-computer interaction module, and then change their own electricity usage habits, which can improve the responsiveness to user needs, thereby meeting users' different needs for electricity. In summary, the distributed energy intelligent control system plays a great role in the scientific and reasonable control of distributed energy resources. However, at present, the resource scheduling strategy that can be output by the distributed energy intelligent control system can be more accurate. This application is proposed to improve the accuracy of distributed energy resource scheduling.

[0061] In one embodiment, Figure 1As shown, a distributed energy scheduling method is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0062] S110, receiving an initial scheduling instruction corresponding to the scheduling terminal.

[0063] The dispatch terminal is a distributed energy intelligent control system. The initial dispatch instruction is used to instruct the dispatch terminal to perform resource dispatch on at least one distributed energy managed by the dispatch terminal. The distributed energy in this embodiment mainly refers to bidirectional interactive distributed energy.

[0064] Specifically, in this embodiment, the dispatching terminal receives an initial dispatching instruction sent by a dispatching center corresponding to the dispatching terminal.

[0065] Exemplarily, when there is a demand for dispatching distributed energy resources, the dispatching terminal will collect the adjustable margin of each distributed energy under its jurisdiction, and feed back the adjustable margin of each distributed energy to the dispatching center corresponding to the dispatching terminal, so that the dispatching center can generate an initial dispatching instruction corresponding to the dispatching terminal based on the adjustable margin of each distributed energy managed by the dispatching terminal.

[0066] Optionally, the dispatch center can input the adjustable margin of each distributed energy managed by the dispatch terminal into a pre-trained dispatch instruction generation model to obtain an initial dispatch instruction corresponding to the dispatch terminal. Optionally, the dispatch center can pre-determine the dispatch strategies corresponding to different adjustable margins, and determine the dispatch strategies corresponding to each distributed energy according to the adjustable margin of each distributed energy managed by the dispatch terminal. Then, according to the dispatch strategies corresponding to each distributed energy, generate the initial dispatch instruction corresponding to the dispatch terminal.

[0067] It should be noted that, for a dispatch center, the number of its corresponding dispatch terminals is at least one.

[0068] S120, obtaining power generation performance data of at least one distributed energy managed by the scheduling terminal.

[0069] Among them, the distributed power generation performance data can characterize the corresponding operating conditions of the distributed energy. Exemplarily, the power generation performance data in this embodiment may include at least one of real-time operating data and distribution network monitoring data.

[0070] Exemplarily, in this embodiment, the power generation performance data of each distributed energy source can be recorded in a preset storage location. When there is a resource scheduling demand for distributed energy, or when the scheduling terminal receives an initial scheduling instruction, the scheduling terminal can obtain the power generation performance data of at least one distributed energy source it manages from the preset storage location.

[0071] S130, adjusting the initial scheduling instruction according to the power generation performance data of at least one distributed energy source to obtain a target scheduling instruction corresponding to each distributed energy source.

[0072] Among them, the target scheduling instruction is used to perform resource scheduling on the corresponding distributed energy.

[0073] In an optional embodiment, for any distributed energy, the power generation performance data corresponding to the distributed energy and the initial scheduling instructions received by the scheduling terminal corresponding to the distributed energy can be input into a pre-trained scheduling instruction generation model to obtain the target scheduling instructions corresponding to the distributed energy.

[0074] In an optional implementation, the initial scheduling instructions received by the scheduling terminal can be decomposed to obtain a resource scheduling strategy for each distributed energy source. Furthermore, for any distributed energy source, the corresponding resource scheduling strategy can be adjusted according to the power generation performance data of the distributed energy source to obtain the target scheduling instructions corresponding to the distributed energy source.

[0075] S140, performing resource scheduling for the corresponding distributed energy according to the target scheduling instructions corresponding to each distributed energy.

[0076] In the above-mentioned distributed energy scheduling method, after the scheduling terminal receives the corresponding initial scheduling instruction, it does not directly respond to the initial scheduling instruction to perform resource scheduling on at least one distributed energy managed by it, but adjusts the initial scheduling instruction according to the power generation performance data of at least one distributed energy, thereby determining the target scheduling instruction corresponding to each distributed energy. Further, according to the target scheduling instruction corresponding to each distributed energy, the corresponding distributed energy is scheduled for resources. Compared with the method of directly scheduling distributed energy resources according to the initial scheduling instruction in the prior art, the above process can make the resource scheduling of distributed energy more accurate.

[0077] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the process of adjusting the initial scheduling instruction according to the power generation performance data of at least one distributed energy source to obtain the target scheduling instruction corresponding to each distributed energy source is described in detail.

[0078] See also Figure 2The target scheduling instruction generation steps shown include:

[0079] S210, adjusting the power generation performance data of at least one distributed energy source with the goal of maximizing the resource increment of at least one distributed energy source to obtain corrected power generation performance data.

[0080] In an optional embodiment, the power generation performance data of at least one distributed energy source may be adjusted based on manual experience, and the purpose of the adjustment is to maximize the resource increment of at least one distributed energy source.

[0081] In an optional embodiment, the power generation performance data of each distributed energy source may be adjusted according to a predetermined power generation performance data adjustment strategy to obtain the corrected power generation performance data. The power generation performance data adjustment strategy may be determined based on manual experience or a large number of experiments.

[0082] S220, adjusting the initial scheduling instruction according to the corrected power generation performance data of at least one distributed energy source to obtain a target scheduling instruction corresponding to each distributed energy source.

[0083] It should be noted that since the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy resource it manages, it is understandable that the instruction content of the initial scheduling instruction may be such as: controlling how much power distributed energy resource A generates at a certain time. In other words, the initial scheduling instruction is essentially an instruction to adjust the power generation performance data of each distributed energy resource.

[0084] Based on this, in this embodiment, the revised power generation performance data of each distributed energy source may replace the scheduling content in the corresponding scheduling strategy in the initial scheduling instruction, thereby obtaining the target scheduling instruction corresponding to each distributed energy source.

[0085] In the above embodiment, the process of adjusting the initial scheduling instruction according to the power generation performance data of at least one distributed energy source to obtain the target scheduling instruction corresponding to each distributed energy source is described in detail, making the process of generating the target scheduling instruction more rigorous and clear.

[0086] Based on the technical solutions of the above embodiments, the present application also provides an optional embodiment. In this optional embodiment, the process of adjusting the power generation performance data of the at least one distributed energy source with the goal of maximizing the resource increment of the at least one distributed energy source to obtain the corrected power generation performance data is refined.

[0087] See also Figure 3 The steps for correcting the power generation performance data shown include:

[0088] S310, constructing an objective function corresponding to the scheduling terminal with the goal of maximizing the resource gain data of at least one distributed energy source.

[0089] It is understandable that in order to maximize the resource gain data of distributed energy, it is necessary to minimize the difference between the resource output cost and resource output gain of distributed energy. Among them, the resource output cost is the total operating cost of each distributed energy; the resource output gain is the total income of each distributed energy.

[0090] Based on this, with the goal of maximizing the resource gain data of at least one distributed energy, the objective function corresponding to the scheduling terminal is constructed, which can be decomposed into: with the goal of minimizing the resource output cost of at least one distributed energy, a first function is constructed; with the goal of maximizing the resource output gain of at least one distributed energy, a second function is constructed; the difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

[0091] Optionally, at least one distributed energy source includes a first type of energy, a second type of energy and a third type of energy, and the resource output types of the first type of energy, the second type of energy and the third type of energy are different; accordingly, with the goal of minimizing the resource output cost of at least one distributed energy source, a first function is constructed, including: determining a first variable based on the unit resource output power of each first type of energy; determining a second variable based on the value attribute information, unit resource output gain and unit resource output power of each second type of energy; determining a third variable based on the unit resource output power of each third type of energy and the power transmission efficiency of each first receiver corresponding to the third type of energy; and taking the sum of the first variable, the second variable and the third variable as the first function.

[0092] Among them, the first recipient may be an electric car.

[0093] Among them, the first type of energy can be non-renewable distributed energy; the second type of energy can be renewable distributed energy; and the third type of energy can be distributed energy that interacts bidirectionally with electric vehicles.

[0094] For example, the first function may be as follows:

[0095] ;

[0096] In the formula, represents the first variable, i.e., the total power generation cost of the i-th first-type energy source at time t; represents the second variable, i.e., the power generation cost of the i-th second-type energy source at time t; represents the third variable, i.e., the charging cost of the i-th third energy source at time t; Indicates the total number of the first type of energy managed by the dispatch terminal; Indicates the total number of the second type of energy managed by the dispatch terminal; Indicates the total number of third-category energy managed by the dispatching terminal.

[0097] Exemplarily, the determination formula of the first variable may be as follows:

[0098] ;

[0099] In the formula, represents the first variable, i.e., the total power generation cost of the i-th first-type energy source at time t; It represents the power generation of the i-th first-class energy source at time t, that is, the output power per unit resource; , , is the coefficient of the cost function of each distributed generation.

[0100] Exemplarily, the determination formula of the second variable may be as follows:

[0101] ;

[0102] in, represents the second variable, i.e., the power generation cost of the i-th second-type energy source at time t; The electricity price for selling 1kW·h for each second type of energy, i.e., the value attribute information; is the benefit of the excess output of the i-th type II energy source at time t, i.e., the unit resource output gain; It represents the power generation of the i-th renewable distributed generation at time t, that is, the output power per unit resource.

[0103] Exemplarily, the determination formula of the third variable may be as follows:

[0104] ;

[0105] in, The third variable is the charging cost of the i-th third-type energy source at time t; The cost function coefficient representing the i-th electric vehicle participating in the optimal scheduling can be determined based on manual experience; represents the charging power of the i-th electric vehicle at time t, that is, the unit resource output gain; It represents the maximum charging power of the i-th electric vehicle, that is, the power transmission efficiency of the i-th first receiver.

[0106] Furthermore, the sum of the first variable, the second variable and the third variable is taken as the first function.

[0107] Optionally, the resource output gain includes a first type of gain and a second type of gain, and the first type of gain and the second type of gain have different gain sources; accordingly, with the highest resource output gain of at least one distributed energy as the goal, a second function is constructed, including: determining a fourth variable based on the unit resource output power of the energy storage unit of each distributed energy; determining a fifth variable based on the unit resource receiving power of each second receiver corresponding to each distributed energy; and taking the sum of the fourth variable and the fifth variable as the second function.

[0108] The first type of gain may represent the gain of the energy storage unit; the second type of gain may represent the gain obtained by the user by improving the existing adjustable load.

[0109] For example, the second function may be as follows:

[0110] ;

[0111] In the formula, represents the first type of gain generated by the j-th energy storage unit at time t, i.e., the fourth variable; represents the second type of gain generated by the j-th user at time t, i.e., the fifth variable; is the total number of energy storage units; The total number of users.

[0112] Exemplarily, the determination formula of the fourth variable may be as follows:

[0113] ;

[0114] In the formula, represents the first type of gain generated by the j-th energy storage unit at time t, i.e., the fourth variable; The coefficient representing the revenue function of the j-th energy storage unit can be determined based on manual experience; It represents the power emitted by the jth energy storage unit at time t, that is, the output power per unit resource.

[0115] Exemplarily, the determination formula of the fifth variable may be as follows:

[0116] ;

[0117] In the formula, represents the second type of gain generated by the j-th user at time t, i.e., the fifth variable; represents the power consumed by the jth user at time t, that is, the unit resource receiving power of the i-th second receiver, represents the cost parameter of the jth user; represents the revenue parameter of the jth user, and All can be determined based on manual experience.

[0118] S320, determining the constraint conditions of the objective function.

[0119] Among them, the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each distributed energy source.

[0120] For example, in this embodiment, the constraint condition is used to limit the upper limit of the output power of each distributed energy at a unit time. This value can be determined based on manual experience, for example, according to the type and usage time limit of the distributed energy, and this application does not impose any limitation on this.

[0121] S330, solving the objective function based on the constraint conditions to obtain corrected power generation performance data of at least one distributed energy source.

[0122] Optionally, in this embodiment, the objective function may be solved under the constraints of the constraint conditions, and the solution result may be used as the corrected power generation performance data of at least one distributed energy source.

[0123] It should be noted that there are many ways to solve the objective function, for example, it can be solved based on a particle swarm algorithm. This application does not impose any limitation on the way to solve the objective function.

[0124] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0125] Based on the same inventive concept, the embodiment of the present application also provides a distributed energy scheduling device for implementing the above-mentioned distributed energy scheduling method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more distributed energy scheduling device embodiments provided below can refer to the above-mentioned limitations on the distributed energy scheduling method, and will not be repeated here.

[0126] In an exemplary embodiment, Figure 4As shown, a distributed energy scheduling device is provided, including: an instruction receiving module 410, a data acquisition module 420, an instruction adjustment module 430 and a resource scheduling module 440, wherein:

[0127] The instruction receiving module 410 is used to receive the initial scheduling instruction corresponding to the scheduling terminal.

[0128] The initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by it; and

[0129] The data acquisition module 420 is used to acquire power generation performance data of at least one distributed energy managed by the scheduling terminal.

[0130] The instruction adjustment module 430 is used to adjust the initial scheduling instruction according to the power generation performance data of at least one distributed energy source to obtain the target scheduling instruction corresponding to each distributed energy source.

[0131] The resource scheduling module 440 is used to perform resource scheduling on the corresponding distributed energy according to the target scheduling instructions corresponding to each distributed energy.

[0132] In one embodiment, Figure 5 As shown, the instruction adjustment module 430 includes a data correction unit 4301, which is used to adjust the power generation performance data of at least one distributed energy with the goal of maximizing the resource increment of at least one distributed energy, so as to obtain the corrected power generation performance data; the instruction adjustment unit 4302 is used to adjust the initial scheduling instruction according to the corrected power generation performance data of at least one distributed energy, so as to obtain the target scheduling instruction corresponding to each distributed energy.

[0133] In one embodiment, the data correction unit includes a function construction subunit, which is used to construct an objective function corresponding to the scheduling terminal with the resource gain data of at least one distributed energy as the maximum goal; a constraint determination subunit, which is used to determine the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical size of the power generation performance data corresponding to each distributed energy; and a data correction subunit, which is used to solve the objective function based on the constraint conditions to obtain the corrected power generation performance data of at least one distributed energy.

[0134] In one embodiment, the objective function includes a first function and a second function; accordingly, the function construction subunit is specifically used to construct the first function with the goal of minimizing the resource output cost of at least one distributed energy; to construct the second function with the goal of maximizing the resource output gain of at least one distributed energy; and to use the difference between the first function and the second function as the objective function corresponding to the scheduling terminal.

[0135] In one embodiment, at least one distributed energy includes a first type of energy, a second type of energy and a third type of energy, and the resource output types of the first type of energy, the second type of energy and the third type of energy are different; accordingly, the function construction subunit is specifically used to determine the first variable according to the unit resource output power of each first type of energy; determine the second variable according to the value attribute information, unit resource output gain and unit resource output power of each second type of energy; determine the third variable according to the unit resource output power of each third type of energy and the power transmission efficiency of each first receiver corresponding to the third type of energy; and use the sum of the first variable, the second variable and the third variable as the first function.

[0136] In one embodiment, the resource output gain includes a first type of gain and a second type of gain, and the gain sources of the first type of gain and the second type of gain are different; accordingly, the function construction subunit is specifically used to determine the fourth variable according to the unit resource output power of the energy storage unit of each distributed energy; determine the fifth variable according to the unit resource receiving power of each second receiver corresponding to each distributed energy; and use the sum of the fourth variable and the fifth variable as the second function.

[0137] Each module in the above-mentioned distributed energy dispatching device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0138] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, near field communication (NFC) or other technologies. When the computer program is executed by the processor, a distributed energy scheduling method is realized. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0139] Those skilled in the art will understand that Figure 6 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0140] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0141] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0142] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0143] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0144] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0145] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0146] With the goal of maximizing the resource increment of at least one distributed energy source, adjusting the power generation performance data of at least one distributed energy source to obtain corrected power generation performance data;

[0147] According to the corrected power generation performance data of at least one distributed energy source, the initial scheduling instruction is adjusted to obtain the target scheduling instruction corresponding to each distributed energy source.

[0148] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0149] Taking the maximum resource gain data of at least one distributed energy source as the goal, construct an objective function corresponding to the dispatch terminal;

[0150] Determine the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each distributed energy source;

[0151] Based on the constraint conditions, the objective function is solved to obtain the corrected power generation performance data of at least one distributed energy source.

[0152] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0153] A first function is constructed with the goal of minimizing the resource output cost of at least one distributed energy source;

[0154] A second function is constructed with the goal of maximizing resource output gain of at least one distributed energy source;

[0155] The difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

[0156] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0157] Determining a first variable according to the unit resource output power of each first type of energy;

[0158] Determine a second variable according to the value attribute information, unit resource output gain and unit resource output power of each second type of energy;

[0159] Determine a third variable according to the unit resource output power of each third type of energy and the power transmission efficiency of each first receiver corresponding to the third type of energy;

[0160] The sum of the first variable, the second variable and the third variable is taken as the first function.

[0161] In one embodiment, when the processor executes the computer program, the processor further implements the following steps:

[0162] Determining a fourth variable according to the unit resource output power of the energy storage unit of each distributed energy source;

[0163] Determining a fifth variable according to the unit resource receiving power of each second receiver corresponding to each distributed energy source;

[0164] The sum of the fourth variable and the fifth variable is used as the second function.

[0165] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0166] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0167] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0168] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0169] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0170] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0171] With the goal of maximizing the resource increment of at least one distributed energy source, adjusting the power generation performance data of at least one distributed energy source to obtain corrected power generation performance data;

[0172] According to the corrected power generation performance data of at least one distributed energy source, the initial scheduling instruction is adjusted to obtain the target scheduling instruction corresponding to each distributed energy source.

[0173] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0174] Taking the maximum resource gain data of at least one distributed energy source as the goal, construct an objective function corresponding to the dispatch terminal;

[0175] Determine the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each distributed energy source;

[0176] Based on the constraint conditions, the objective function is solved to obtain the corrected power generation performance data of at least one distributed energy source.

[0177] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0178] A first function is constructed with the goal of minimizing the resource output cost of at least one distributed energy source;

[0179] A second function is constructed with the goal of maximizing resource output gain of at least one distributed energy source;

[0180] The difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

[0181] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0182] Determining a first variable according to the unit resource output power of each first type of energy;

[0183] Determine a second variable according to the value attribute information, unit resource output gain and unit resource output power of each second type of energy;

[0184] Determine a third variable according to the unit resource output power of each third type of energy and the power transmission efficiency of each first receiver corresponding to the third type of energy;

[0185] The sum of the first variable, the second variable and the third variable is taken as the first function.

[0186] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0187] Determining a fourth variable according to the unit resource output power of the energy storage unit of each distributed energy source;

[0188] Determining a fifth variable according to the unit resource receiving power of each second receiver corresponding to each distributed energy source;

[0189] The sum of the fourth variable and the fifth variable is used as the second function.

[0190] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0191] receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and,

[0192] Acquire power generation performance data of at least one distributed energy source managed by the dispatching terminal;

[0193] Adjusting the initial dispatching instruction according to the power generation performance data of at least one distributed energy source to obtain the target dispatching instruction corresponding to each distributed energy source;

[0194] According to the target dispatching instructions corresponding to each distributed energy source, the corresponding distributed energy source is dispatched.

[0195] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0196] With the goal of maximizing the resource increment of at least one distributed energy source, adjusting the power generation performance data of at least one distributed energy source to obtain corrected power generation performance data;

[0197] According to the corrected power generation performance data of at least one distributed energy source, the initial scheduling instruction is adjusted to obtain the target scheduling instruction corresponding to each distributed energy source.

[0198] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0199] Taking the maximum resource gain data of at least one distributed energy source as the goal, construct an objective function corresponding to the dispatch terminal;

[0200] Determine the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each distributed energy source;

[0201] Based on the constraint conditions, the objective function is solved to obtain the corrected power generation performance data of at least one distributed energy source.

[0202] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0203] A first function is constructed with the goal of minimizing the resource output cost of at least one distributed energy source;

[0204] A second function is constructed with the goal of maximizing resource output gain of at least one distributed energy source;

[0205] The difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

[0206] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0207] Determining a first variable according to the unit resource output power of each first type of energy;

[0208] Determine a second variable according to the value attribute information, unit resource output gain and unit resource output power of each second type of energy;

[0209] Determine a third variable according to the unit resource output power of each third type of energy and the power transmission efficiency of each first receiver corresponding to the third type of energy;

[0210] The sum of the first variable, the second variable and the third variable is taken as the first function.

[0211] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0212] Determining a fourth variable according to the unit resource output power of the energy storage unit of each distributed energy source;

[0213] Determining a fifth variable according to the unit resource receiving power of each second receiver corresponding to each distributed energy source;

[0214] The sum of the fourth variable and the fifth variable is used as the second function.

[0215] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0216] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0217] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A distributed energy scheduling method, characterized in that: Applied to a dispatching terminal, the method comprises: receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and, Acquiring power generation performance data of at least one distributed energy source managed by the dispatching terminal; According to the power generation performance data of the at least one distributed energy source, the initial scheduling instruction is adjusted to obtain a target scheduling instruction corresponding to each distributed energy source; According to the target scheduling instructions corresponding to each of the distributed energy sources, resources of the corresponding distributed energy sources are scheduled.

2. The method according to claim 1, characterized in that The adjusting the initial scheduling instruction according to the power generation performance data of the at least one distributed energy source to obtain the target scheduling instruction corresponding to each distributed energy source includes: With the goal of maximizing the resource increment of the at least one distributed energy source, adjusting the power generation performance data of the at least one distributed energy source to obtain corrected power generation performance data; The initial scheduling instruction is adjusted according to the corrected power generation performance data of the at least one distributed energy source to obtain a target scheduling instruction corresponding to each distributed energy source.

3. The method according to claim 2, characterized in that The step of adjusting the power generation performance data of the at least one distributed energy source with the goal of maximizing the resource increment of the at least one distributed energy source to obtain the corrected power generation performance data includes: Taking the resource gain data of the at least one distributed energy source as the maximum as the goal, constructing an objective function corresponding to the scheduling terminal; Determining the constraint conditions of the objective function; wherein the constraint conditions are used to constrain the numerical value of the power generation performance data corresponding to each of the distributed energy sources; Based on the constraint conditions, the objective function is solved to obtain the corrected power generation performance data of the at least one distributed energy source.

4. The method according to claim 3, characterized in that The objective function includes a first function and a second function; accordingly, taking the resource gain data of the at least one distributed energy source as the maximum as the goal, constructing the objective function corresponding to the scheduling terminal includes: Constructing the first function with the goal of minimizing the resource output cost of the at least one distributed energy source; constructing the second function with the goal of maximizing the resource output gain of the at least one distributed energy source; The difference between the first function and the second function is used as the objective function corresponding to the scheduling terminal.

5. The method according to claim 4, characterized in that The at least one distributed energy source includes a first type of energy, a second type of energy, and a third type of energy, and the resource output types of the first type of energy, the second type of energy, and the third type of energy are different; accordingly, the first function is constructed with the goal of minimizing the resource output cost of the at least one distributed energy source, including: Determining a first variable according to the unit resource output power of each of the first-type energy sources; Determine a second variable according to the value attribute information, unit resource output gain and unit resource output power of each of the second-type energy sources; Determining a third variable according to the unit resource output power of each of the third type of energy and the power transmission efficiency of each of the first receivers corresponding to the third type of energy; The sum of the first variable, the second variable and the third variable is used as the first function.

6. The method according to claim 4, characterized in that The resource output gain includes a first type of gain and a second type of gain, and the first type of gain and the second type of gain have different gain sources; accordingly, the second function is constructed with the highest resource output gain of the at least one distributed energy source as the goal, including: Determining a fourth variable according to the unit resource output power of the energy storage unit of each of the distributed energy sources; Determining a fifth variable according to the unit resource received power of each second receiver corresponding to each distributed energy source; The sum of the fourth variable and the fifth variable is used as the second function.

7. A distributed energy dispatching device, characterized in that: Configured at the dispatching terminal, the device includes: An instruction receiving module, used for receiving an initial scheduling instruction corresponding to the scheduling terminal; the initial scheduling instruction is used to instruct the scheduling terminal to perform resource scheduling on at least one distributed energy managed by the scheduling terminal; and A data acquisition module, used to acquire power generation performance data of at least one distributed energy managed by the dispatching terminal; An instruction adjustment module, configured to adjust the initial scheduling instruction according to the power generation performance data of the at least one distributed energy source, so as to obtain a target scheduling instruction corresponding to each of the distributed energy sources; The resource scheduling module is used to perform resource scheduling on the corresponding distributed energy according to the target scheduling instructions corresponding to each of the distributed energy sources.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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