Direct current power supply system energy management method and system, and electronic device

Abstract

The application discloses a kind of direct current power supply system energy management method and system, direct current power supply system energy management method: for by photovoltaic power generation system, wind power generation system, water production system is composed of direct current power supply water production system, establishes fluctuation analytical model;Establish the wind light water optimal search function considering power fluctuation, power balance, water production efficiency optimization;Design hierarchical energy management matrix controller to calculate control quantity, use the control quantity to control solar energy and wind energy's use situation, realize the energy management of direct current power supply system.The application can improve the energy comprehensive utilization rate of photovoltaic power generation system, wind power generation system, water production system, reduce water production cost, improve the stable operation ability of direct current power supply system, realize the reliable and efficient operation of photovoltaic power generation system, wind power generation system, water production system by fluctuation analytical model, wind light water efficient function, hierarchical energy management matrix.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of direct current power supply, in particular to a direct current power supply water production system energy management method and system and an electronic device. BACKGROUND

[0002] The seawater desalination system on islands or near the sea is crucial for maintaining daily production and life. The method of generating power and producing water based on traditional energy is theoretically simple, but it is difficult to implement in practice for islands scattered around the coast. Since there are abundant wind power and photovoltaic resources on islands, and photovoltaic power generation and wind power generation are new energy that is easy to obtain and widely distributed, by organically integrating the wind power generation system, the photovoltaic power generation system and the water production system, a flexible function, water supply direct current power supply water production system can be formed. However, the existing seawater desalination water production technology based on distributed photovoltaic, wind power and other new energy cannot reasonably arrange the power generation plan of wind and light, is affected by the power fluctuation of the direct current power supply water production system, and is not conducive to the stable power supply of the water production system. In addition, the existing method also cannot consider the loss factor, and with the gradual accumulation of the use time, the operation and maintenance cost, equipment depreciation and power loss of the wind power generation system, the photovoltaic power generation system and the water production system will also increase, which will cause the direct current power supply water production system to be unable to operate stably and economically for a long time. SUMMARY

[0003] In view of this, the embodiments of the present application provide a direct current power supply water production system energy management method and system and an electronic device to solve the problems in the background art.

[0004] According to a first aspect of the embodiments of the present application, a direct current power supply water production system energy management method is provided, comprising:

[0005] For a direct current power supply water production system composed of a photovoltaic power generation system, a wind power generation system and a water production system, a fluctuation analysis model is established, and the power matrix and the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system are obtained through iterative calculation;

[0006] According to the calculated power matrix and cost matrix, and the initial values of the power matrix and the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system, a wind-light-water optimal search function considering power fluctuation, power balance and optimal water production efficiency is established;

[0007] According to the structural characteristics of the wind-light-water system and the mechanism characteristics of the wind-light-water optimal search function, a hierarchical energy management matrix controller is designed;

[0008] The intermediate regulation amount of the photovoltaic power generation system, the wind power generation system and the water production system is optimized and calculated by using the hierarchical energy management matrix controller, and the control amount of the photovoltaic power generation system, the wind power generation system and the water production system is obtained.

[0009] The control quantity is used to control the use of solar energy and wind energy, and energy management of the direct current power supply system is realized.

[0010] Optionally, the fluctuation analysis model is represented as follows:

[0011]

[0012] In the formula, x = [x1, x2, x3] T represents a power matrix; x1 represents the power output by the photovoltaic power generation system; x2 represents the power output by the wind power generation system; x3 represents the power consumed by the water production system; p1 represents the price of the photovoltaic power generation system; p2 represents the price of the wind power generation system; p3 represents the price of the water production system; q1 represents the profit of the photovoltaic power generation system; q2 represents the profit of the wind power generation system; q3 represents the profit of the water production system; r1 represents the loss price of the photovoltaic power generation system; r2 represents the loss price of the wind power generation system; r3 represents the loss price of the water production system; y = [y1, y2, y3] T represents a cost matrix; y1 represents the cost of the photovoltaic power generation system; y2 represents the cost of the wind power generation system; y3 represents the cost of the water production system; t represents time; S represents the intensity of illumination; T represents temperature; k1 represents the intensity of illumination coefficient; k2 represents the temperature coefficient; W1 represents the long-term wind power prediction value; W2 represents the medium-term wind power prediction value; W3 represents the short-term wind power prediction value; W represents the measured value of the wind power; η represents the efficiency of the water production system; E represents the energy consumption of the water production system.

[0013] Optionally, the wind-solar-water optimal search function is represented as follows:

[0014]

[0015] In the formula, J represents the wind-solar-water optimal search function; α represents the first optimization gain; β represents the second optimization gain; k represents the optimization gain; τ represents the optimization time; x0 represents the initial value of x; y0 represents the initial value of y; v i represents an intermediate adjustment amount, i = 1, 2, 3, v1 represents the intermediate adjustment amount of the photovoltaic power generation system, v2 represents the intermediate adjustment amount of the wind power generation system, and v3 represents the intermediate adjustment amount of the water production system; d i represents an intermediate adjustment amount gain, d1 represents the intermediate adjustment amount gain of the photovoltaic power generation system, d2 represents the intermediate adjustment amount gain of the wind power generation system, and d3 represents the intermediate adjustment amount gain of the water production system.

[0016] Optionally, the hierarchical energy management matrix controller is represented as follows:

[0017]

[0018] In the formula, u1, u2, u3 respectively represent a control quantity of the photovoltaic power generation system, a control quantity of the wind power generation system, and a control quantity of the water production system; H represents a power control matrix, and L represents a cost feedback matrix.

[0019] According to a second aspect of the embodiment of the present application, a direct-current power supply water production system energy management system is provided, comprising:

[0020] a fluctuation analysis module configured to establish a fluctuation analysis model for a direct-current power supply water production system composed of a photovoltaic power generation system, a wind power generation system, and a water production system, and to obtain a power matrix and a cost matrix of the photovoltaic power generation system, the wind power generation system, and the water production system through iterative calculation;

[0021] a wind-solar-water optimal search module configured to establish a wind-solar-water optimal search function considering power fluctuation, power balance, and water production efficiency optimization according to the calculated power matrix and cost matrix and initial values of the power matrix and cost matrix of the photovoltaic power generation system, the wind power generation system, and the water production system;

[0022] a design module configured to design a hierarchical energy management matrix controller according to structural characteristics of the wind-solar-water system and mechanism characteristics of the wind-solar-water optimal search function;

[0023] a control quantity calculation module configured to use the hierarchical energy management matrix controller to perform optimization calculation on intermediate regulation quantities of the photovoltaic power generation system, the wind power generation system, and the water production system, and to obtain control quantities of the photovoltaic power generation system, the wind power generation system, and the water production system;

[0024] a control module configured to use the control quantities to control the use of solar energy and wind energy, and to realize energy management of the direct-current power supply system.

[0025] According to a third aspect of the embodiment of the present application, an electronic device is provided, comprising:

[0026] one or more processors;

[0027] a memory configured to store one or more programs;

[0028] When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to the first aspect.

[0029] According to a third aspect of the embodiment of the present application, a computer readable storage medium is provided, which stores computer instructions, and the instructions are executed by a processor to implement the steps of the method according to the first aspect.

[0030] The technical scheme provided by the embodiment of the present application can have the following beneficial effects:

[0031] From the above examples, the application is directed to a direct current power water system composed of a photovoltaic power generation system, a wind power generation system and a water production system, and creatively proposes a fluctuation analysis model, a wind-solar-water optimal search function and a hierarchical energy management matrix controller. Through the synergistic effect of the three, the photovoltaic power generation system, the wind power generation system and the water production system can be efficiently managed, the voltage of the direct current power water system can be stabilized, the power balance level of the direct current power water system can be enhanced, and the economic and stable operation of the direct current power water system can be realized, so that the direct current power water system containing new energy power generation can be widely applied.

[0032] By establishing the fluctuation analysis model, the accurate description of at least power and cost is realized, which lays a foundation for efficient, economic and stable control of the direct current power water system containing the photovoltaic power generation system, the wind power generation system and the water production system.

[0033] By establishing the wind-solar-water optimal search function considering power balance and optimal operation cost, the optimal calculation of the intermediate regulation quantity of the photovoltaic power generation system, the wind power generation system and the water production system is realized, thereby providing an important basis for the final confirmation and optimal control of the control quantity of the three.

[0034] By designing the hierarchical energy management matrix controller, the intermediate regulation quantity of the photovoltaic power generation system, the wind power generation system and the water production system is optimized and calculated, and the control quantity of the photovoltaic power generation system, the wind power generation system and the water production system is obtained, thereby realizing the economic optimal control of the direct current power water system on the basis of power balance and improving the stable and economic operation ability of the micro-grid.

[0035] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the present application. BRIEF DESCRIPTION OF DRAWINGS

[0036] The accompanying drawings, which are incorporated into and form part of the specification, illustrate embodiments consistent with the present application and, together with the specification, serve to explain the principles of the application.

[0037] Figure 1 is a flow chart of a direct current power water system energy management method according to an exemplary embodiment.

[0038] Figure 2 is a curve diagram of the power and operation cost of a direct current power water system changing with time according to an exemplary embodiment.

[0039] Figure 3 is a curve diagram of the voltage of a direct current power water system changing with time according to an exemplary embodiment.

[0040] Figure 4 is a block diagram of a direct current powered water production system energy management device according to an example embodiment. DETAILED DESCRIPTION

[0041] The example embodiments will be described in detail with reference to the drawings, of which example embodiments are shown. The following description is made in connection with the drawings, where like numbers are used to designate like elements throughout. The embodiments described in the following example embodiments are not meant to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the appended claims.

[0042] The terminology used in this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the present application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0043] Figure 1 is a flow chart of a direct current powered water production system energy management method according to an example embodiment, as shown in Figure 1 the method can include the following steps:

[0044] S1: for a direct current powered water production system composed of a photovoltaic power generation system, a wind power generation system, and a water production system, a fluctuation analysis model is established, and power matrices and cost matrices of the photovoltaic power generation system, the wind power generation system, and the water production system are obtained through iterative calculation;

[0045] Specifically, the photovoltaic power generation system, the wind power generation system, and the water production system constitute a direct current powered water production system, the output power of the photovoltaic and wind power generation systems is combined with the input and output power of the water production system, and a multi-variable time series comprehensive input is established considering the cost loss factor. Considering the mutual influence of each system, a multi-variable regression model is used to predict the behavior of the comprehensive system, and a fluctuation analysis model is established. The fluctuation analysis model identifies the coupling effect and mutual influence between systems and analyzes the mutual fluctuation relationship between systems, understands and predicts the behavior of the photovoltaic power generation, wind power generation, and water production system under different conditions, and helps to optimize and manage the energy of the photovoltaic power generation, wind power generation, and water production system.

[0046] The fluctuation analysis model is represented as follows:

[0047]

[0048] In the formula, x = [x1, x2, x3] Trepresent the power matrix; x1 represents the power output of the photovoltaic power generation system; x2 represents the power output of the wind power generation system; x3 represents the power consumed by the water production system; p1 represents the price of the photovoltaic power generation system; p2 represents the price of the wind power generation system; p3 represents the price of the water production system; q1 represents the profit of the photovoltaic power generation system; q2 represents the profit of the wind power generation system; q3 represents the profit of the water production system; r1 represents the loss price of the photovoltaic power generation system; r2 represents the loss price of the wind power generation system; r3 represents the loss price of the water production system; y = [y1, y2, y3] T represent the cost matrix; y1 represents the cost of the photovoltaic power generation system; y2 represents the cost of the wind power generation system; y3 represents the cost of the water production system; t represents time; S represents the intensity of light; T represents temperature; k1 represents the light intensity coefficient; k2 represents the temperature coefficient; W1 represents the long-term wind power prediction value; W2 represents the medium-term wind power prediction value; W3 represents the short-term wind power prediction value; W represents the measured value of wind power; η represents the efficiency of the water production system; E represents the energy consumption of the water production system.

[0049] Some main parameters of the preferred embodiment are: p1 = 0.5 + cos1.5t, p2 = 0.7 + cos1.3t, p3 = 0.4 + cos1.6t, q1 = 0.1 + sin1.5t, q2 = 0.14 + sin1.3t, q3 = 0.07 + sin1.6t, r1 = 0.02 + sin1.5t, r2 = 0.03 + sin1.3t, r3 = 0.01 + sin1.6t; the units of the above p1, p2, p3, q1, q2, q3, r1, r2, r3 are all units of "yuan" of RMB; k1 = 0.35, k2 = 0.65; η = 0.95.

[0050] The power matrix and the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system are obtained through iterative calculation; the power matrix x = [x1, x2, x3] T ; the cost matrix y = [y1, y2, y3] T .

[0051] The fluctuation analysis model has advantages in calculation efficiency and is suitable for large-scale data analysis. The power matrix and the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system involve a large amount of data, and the fluctuation analysis model can significantly reduce the amount of data while maintaining important features.

[0052] S2: According to the calculated power matrix and cost matrix, and the initial value of the power matrix and the initial value of the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system, a wind-solar-water optimal search function considering power fluctuation, power balance and optimal water production efficiency is established;

[0053] Specifically, the power matrix initial value x0 = [500 kW, 1500 kW, 1300 kW] is set T , the cost matrix initial value y0 = [10000 yuan, 20000 yuan, 15000 yuan] T .

[0054] The wind-solar-water optimal search function is represented as follows:

[0055]

[0056] In the formula, J represents the wind-solar-water optimal search function, a represents the first optimization gain, β represents the second optimization gain, k represents the optimization gain, τ represents the optimization time, x0 represents the initial value of x, y0 represents the initial value of y, v i represents the intermediate adjustment amount, i = 1, 2, 3, v1 represents the intermediate adjustment amount of the photovoltaic power generation system, v2 represents the intermediate adjustment amount of the wind power generation system, and v3 represents the intermediate adjustment amount of the water production system; d i represents the intermediate adjustment amount gain, d1 represents the intermediate adjustment amount gain of the photovoltaic power generation system, d2 represents the intermediate adjustment amount gain of the wind power generation system, and d3 represents the intermediate adjustment amount gain of the water production system.

[0057] Some main parameters of the preferred embodiment are: x0 = [500 kW, 1500 kW, 1300 kW] T , y0 = [10000 yuan, 20000 yuan, 15000 yuan] T , d1 = 0.23, d2 = 0.31, d3 = 0.47, and k = 0.81.

[0058] The optimal search function design can find the target result with the least time and resources, maximizing the search efficiency. This is particularly important when dealing with large-scale data sets or complex problems.

[0059] S3: According to the structural characteristics of the wind-solar-water system and the mechanism characteristics of the wind-solar-water optimal search function, a hierarchical energy management matrix controller is designed;

[0060] Specifically, according to the structural characteristics of the wind-solar-water system and the mechanism characteristics of the wind-solar-water optimal search function,

[0061] The hierarchical energy management matrix controller is represented as follows:

[0062]

[0063] In the formula, u1, u2, and u3 represent the control amount of the photovoltaic power generation system, the control amount of the wind power generation system, and the control amount of the water production system, respectively; H represents the power control matrix, and L represents the cost feedback matrix.

[0064] Some main parameters of the preferred embodiment are: H = [1.4, 2.1, 6.2] T , L = [5.5, 8.4, 1.6] T .

[0065] The hierarchical energy management matrix controller can optimize system performance at different levels through the hierarchical structure, from local to global, to ensure the optimization of overall energy utilization. The modular structure of the hierarchical energy management matrix control makes each level can be independently designed and debugged, which is convenient for system maintenance and expansion.

[0066] S4: using the hierarchical energy management matrix controller, the intermediate regulation quantity of the photovoltaic power generation system, the wind power generation system and the water production system is optimized and calculated to obtain the control quantity of the photovoltaic power generation system, the wind power generation system and the water production system;

[0067] Specifically, the intermediate regulation quantity of the photovoltaic power generation system, the wind power generation system and the water production system is input to the hierarchical energy management matrix controller, and the final control quantity of the photovoltaic power generation system, the wind power generation system and the water production system is calculated by considering energy utilization and cost factors. Using the hierarchical energy management matrix controller can separate global optimization and local control, thereby effectively managing the complexity of the system and responding to real-time changes more quickly.

[0068] S5: using the control quantity to control the use of solar and wind energy to realize energy management of the direct current power supply system;

[0069] Specifically, the final control quantity of the photovoltaic power generation system and the wind power generation system is used as a reference value to adjust the power generation of photovoltaic and wind power, thereby managing the input and output energy of the direct current power supply water production system. The adjustment process is direct and efficient. The direct current power supply system energy management can more efficiently schedule and distribute electric energy, ensuring that the power flow between the water production system and the new energy power generation equipment is optimized, further improving system efficiency.

[0070] As shown in Figure 2 , through the direct current power supply water production system energy management method described in the embodiment, it can be seen that the power of the direct current power supply water production system reaches balance within 0.8s, indicating that the method described in the embodiment can realize fast, accurate and stable control of the power of the direct current power supply water production system; in addition, the operation cost of the direct current power supply water production system is also minimized within 0.8s, indicating that the method described in the embodiment can realize optimal economic operation of the direct current power supply water production system.

[0071] As shown in Figure 3As shown, by the direct current power supply water system energy management method described in the embodiment, it can be seen that the voltage of the direct current power supply water system reaches stability within 0.9s, indicating that the method described in the embodiment can realize stable control of the direct current power supply water system, avoiding the influence of the fluctuation of the output power of the photovoltaic power generation system and the wind power generation system on the direct current power supply water system.

[0072] From the above embodiment, it can be seen that, aiming at the unstable characteristics of island wind power photovoltaic, the direct current power supply water system energy management method makes the power and voltage of the direct current power supply water system quickly reach balance, realizing flexible and stable operation of the direct current power supply water system.

[0073] Corresponding to the foregoing embodiment of the direct current power supply water system energy management method, the application also provides an embodiment of a direct current power supply water system energy management device.

[0074] Figure 4 is a direct current power supply water system energy management device block diagram according to an exemplary embodiment. Referring to Figure 4 , the device comprises:

[0075] The fluctuation analysis module 1 is configured to establish a fluctuation analysis model for the direct current power supply water system composed of the photovoltaic power generation system, the wind power generation system and the water production system, and to obtain the power matrix and the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system through iterative calculation;

[0076] The wind-solar-water optimal search module 2 is configured to establish a wind-solar-water optimal search function considering power fluctuation, power balance and water production efficiency optimization according to the calculated power matrix and cost matrix, and the initial value of the power matrix and the initial value of the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system;

[0077] The design module 3 is configured to design a hierarchical energy management matrix controller according to the structural characteristics of the wind-solar-water system and the mechanism characteristics of the wind-solar-water optimal search function;

[0078] The control amount calculation module 4 is configured to use the hierarchical energy management matrix controller to optimize the intermediate adjustment amount of the photovoltaic power generation system, the wind power generation system and the water production system, and obtain the control amount of the photovoltaic power generation system, the wind power generation system and the water production system;

[0079] The control module 5 is configured to use the control amount to control the use of solar energy and wind energy, and realize energy management of the direct current power supply system.

[0080] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0081] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to in the description of the method embodiments. The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this application according to actual needs. Those skilled in the art can understand and implement this without creative effort.

[0082] Accordingly, this application also provides an electronic device, comprising: one or more processors; a memory for storing one or more programs; and when the one or more programs are executed by the one or more processors, causing the one or more processors to implement the energy management method for a DC-powered water production system as described above.

[0083] Accordingly, this application also provides a computer-readable storage medium storing computer instructions thereon, which, when executed by a processor, implement the energy management method of the DC-powered water production system as described above.

[0084] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and embodiments are to be considered exemplary only, and the true scope and spirit of this application are indicated by the claims.

[0085] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. An energy management method for a DC-powered water production system, characterized in that, Comprising: For the direct current power supply water system composed of photovoltaic power generation system, wind power generation system, water production system, a fluctuation analysis model is established, and the power matrix and cost matrix of the photovoltaic power generation system, wind power generation system and water production system are obtained through iterative calculation; According to the calculated power matrix and cost matrix, and the initial value of the power matrix and the initial value of the cost matrix of the photovoltaic power generation system, wind power generation system and water production system, a wind-solar-water optimal search function considering power fluctuation, power balance and optimal water production efficiency is established; According to the structural characteristics of the wind-solar-water system and the mechanism characteristics of the wind-solar-water optimal search function, a hierarchical energy management matrix controller is designed; The intermediate regulation amount of the photovoltaic power generation system, wind power generation system and water production system is optimized and calculated by using the hierarchical energy management matrix controller, and the control amount of the photovoltaic power generation system, wind power generation system and water production system is obtained; The use of solar and wind energy is controlled by using the control amount, and the energy management of the direct current power supply system is realized. The wind-solar-water optimal search function is represented as follows: ； In the formula: J represents a wind-sun-water optimal search function; α represents a first optimization gain; β represents a second optimization gain; k represents an optimization gain; The hierarchical energy management matrix controller is represented as follows: represents an optimization time; x 0 represents x The initial value; y 0 represents y The initial value; v i Represents the intermediate adjustment amount. i =1,2,3 v 1 represents the intermediate adjustment value of the photovoltaic power generation system. v 2 represents the intermediate adjustment value of the wind power generation system. v 3 represents the intermediate adjustment amount of the water treatment system; d i Represents the intermediate adjustment gain. d 1 represents the intermediate adjustment gain of the photovoltaic power generation system. d 2 represents the intermediate adjustment gain of the wind power generation system. d 3 represents the intermediate adjustment gain of the water treatment system; The fluctuation analysis model is represented as follows: ； In the formula: u 1、 u 2、 u 3 respectively represent the control quantity of the photovoltaic power generation system, the control quantity of the wind power generation system, and the control quantity of the water production system; H represents a power control matrix, L represents a cost feedback matrix.

2. The method of claim 1, wherein the DC powered water system energy management method further comprises: The wind-solar-water optimal search function is represented as follows: ； In the formula: x= [ x 1 , x 2 , x 3] T represents the power matrix; x 1 represents the power output of the photovoltaic power generation system; x 2 represents the power output of the wind power generation system; x 3 represents the power consumption of the water production system; p 1 represents the price of the photovoltaic power generation system; p 2 represents the price of the wind power generation system; p 3 represents the price of the water production system; q 1 represents the profit of the photovoltaic power generation system; q 2 represents the profit of the wind power generation system; q 3 represents the profit of the water production system; r 1 represents the loss price of the photovoltaic power generation system; r 2 represents the loss price of the wind power generation system; r 3 represents the loss price of the water production system; y= [ y 1, y 2, y 3] T represents the cost matrix; y 1 represents the cost of the photovoltaic power generation system; y 2 represents the cost of the wind power generation system; y 3 represents the cost of the water production system; t represents time; S represents the intensity of light; T represents temperature; k 1 represents the light intensity coefficient; k 2 represents the temperature coefficient; W 1 represents the long-term wind power prediction value; W 2 represents the medium-term wind power prediction value; W 3 represents the short-term wind power prediction value; W represents the measured value of wind power; Comprising: represents the efficiency of the water production system; E represents the energy consumption of the water production system.

3. A DC powered water system energy management system, characterized by, A fluctuation analysis module configured to establish a fluctuation analysis model for a direct current power supply water system composed of a photovoltaic power generation system, a wind power generation system and a water production system, and to obtain a power matrix and a cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system through iterative calculation; A wind-solar-water optimal search module configured to establish a wind-solar-water optimal search function considering power fluctuation, power balance and optimal water production efficiency according to the calculated power matrix and cost matrix, and the initial value of the power matrix and the initial value of the cost matrix of the photovoltaic power generation system, the wind power generation system and the water production system; A design module configured to design a hierarchical energy management matrix controller according to the structural characteristics of the wind-solar-water system and the mechanism characteristics of the wind-solar-water optimal search function; A control amount calculation module configured to optimize and calculate the intermediate regulation amount of the photovoltaic power generation system, the wind power generation system and the water production system by using the hierarchical energy management matrix controller, and to obtain the control amount of the photovoltaic power generation system, the wind power generation system and the water production system; A control module configured to control the use of solar and wind energy by using the control amount, and to realize the energy management of the direct current power supply system. The wind-solar-water optimal search function is represented as follows: The hierarchical energy management matrix controller is represented as follows: ； In the formula: J represents a wind-sun-water optimal search function; α represents a first optimization gain; β represents a second optimization gain; k represents an optimization gain; Comprising: represents an optimization time; x 0 represents an initial value of the intermediate regulation amount of the photovoltaic power generation system; x 0 represents an initial value of the intermediate regulation amount of the wind power generation system; y 0 represents an initial value of the intermediate regulation amount of the water production system; y 0 represents an initial value of the intermediate regulation amount of the photovoltaic power generation system; v i represents the intermediate regulation amount, i = 1, 2, 3, v 1 represents the intermediate regulation amount of the photovoltaic power generation system, v 2 represents the intermediate regulation amount of the wind power generation system, v 3 represents the intermediate regulation amount of the water production system; d i represents the intermediate regulation amount gain, d 1 represents the intermediate regulation amount gain of the photovoltaic power generation system, d 2 represents the intermediate regulation amount gain of the wind power generation system, d 3 represents the intermediate regulation amount gain of the water production system; One or more processors; ； In the formula: u 1、 u 2、 u 3 respectively represent the control quantity of the photovoltaic power generation system, the control quantity of the wind power generation system, and the control quantity of the water production system; H represents a power control matrix, L represents a cost feedback matrix.

4. An electronic device, comprising: Memory for storing one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1-2. The instructions are executed by the processor to implement the steps of the method of any one of claims 1-2. ​ 5. A computer readable storage medium having stored thereon computer instructions, wherein, ​

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