Planning analysis method, system, storage medium and equipment for wind-solar-hydrogen-stored diesel energy system

Abstract

The invention provides a planning analysis method and system of a wind-light-hydrogen-stored diesel energy system, a storage medium and equipment, and belongs to the technical field of energy planning. The problem that a traditional planning and designing method depends on an empirical formula and a simplified hypothesis, and consequently system design is unreasonable is solved. The method comprises the following steps: constructing a system total cost minimization mathematical model; setting constraint conditions of the mathematical model for minimizing the total cost of the system; collecting and inputting target parameters, solving the constructed system total cost minimization mathematical model in combination with set constraint conditions, and outputting a solving result; and planning and analyzing the wind-light-hydrogen storage diesel energy system according to a solving result. According to the invention, through integrating mathematical modeling and an optimization algorithm, the characteristics and interaction of various energy forms can be comprehensively considered; through deep analysis and optimization calculation of input data, a scientific basis is provided for capacity planning of the wind-light-hydrogen-storage diesel energy system.

Description

Technical Field

[0001] This application relates to the technical field of energy management, and particularly to a method, system, storage medium, and device for planning and analyzing a wind-solar-hydrogen-storage-diesel energy system. Background Art

[0002] With the increasing severity of global climate change and the gradual depletion of fossil fuel resources, renewable energy technologies have become an important way to solve the energy crisis and environmental protection. Among them, the wind-solar-hydrogen-storage-diesel energy system, as a comprehensive renewable energy system integrating wind power generation, photovoltaic power generation, hydrogen energy power generation, energy storage systems, and traditional diesel power generation, has received extensive attention because it can make full use of various energy resources, improve energy utilization efficiency, reduce environmental pollution, and operating costs.

[0003] However, in the prior art, the planning and design of a wind-solar-hydrogen-storage-diesel energy system is a complex system engineering problem, involving the capacity configuration problems of various energy forms such as wind power generation, photovoltaic power generation, energy storage systems, and diesel power generation. How to reasonably configure the capacities of these systems to achieve optimal economic and environmental benefits is a challenging problem. Traditional planning and design methods often rely on empirical formulas and simplified assumptions, and it is difficult to comprehensively consider the complexity and dynamic changes of the system, which may lead to unreasonable system design and unable to achieve the expected economic and environmental benefits. Summary of the Invention

[0004] To solve the above technical problems, this application proposes a method, system, storage medium, and device for planning and analyzing a wind-solar-hydrogen-storage-diesel energy system.

[0005] The technical solution adopted by this application is as follows: A method for planning and analyzing a wind-solar-hydrogen-storage-diesel energy system includes the following steps:

[0006] S1: Construct a mathematical model for minimizing the total system cost of the wind-solar-hydrogen-storage-diesel energy system, where the total system cost includes the investment cost of wind turbines, the cost of photovoltaic construction, the cost of electrolyzing hydrogen, the cost of fuel cells, the cost of hydrogen energy storage construction, and the cost of diesel power generation;

[0007] S2: Set the constraint conditions of the mathematical model for minimizing the total system cost, and the constraint conditions include wind power generation constraints, photovoltaic power generation constraints, hydrogen energy storage constraints, electrical energy storage constraints, diesel power generation constraints, energy balance constraints, and renewable energy ratio constraints;

[0008] S3: Solve the mathematical model for minimizing the total system cost based on the target parameters and the set constraints, and output the solution results. The target parameters include meteorological parameters, load parameters, equipment parameters, and system parameters. The solution results include the capacity configuration, power generation capacity, daily power generation, and cost energy storage status of each device such as wind turbines, photovoltaics, hydrogen energy storage, electrical energy storage, and diesel generators.

[0009] S4: Perform a planning analysis on the wind-solar-hydrogen-storage-diesel energy system based on the output solution results.

[0010] Furthermore, the expression of the mathematical model for minimizing the total system cost is as follows:

[0011] ;

[0012] In the formula: is the rated capacity of the wind turbine, is the cost per unit capacity of the wind turbine, is the designed service life of the wind turbine; is the rated capacity of the photovoltaic, is the cost per unit capacity of the photovoltaic, is the designed service life of the photovoltaic; is the capacity of the hydrogen energy storage tank, is the unit capacity of electrolyzing hydrogen from electricity, is the unit capacity of the fuel cell, is the cost per unit capacity of the hydrogen energy storage, is the cost per unit capacity of electrolyzing hydrogen from electricity, is the cost per unit capacity of the fuel cell; is the designed service life of the hydrogen energy storage; is the minimum energy capacity of the electrical energy storage, is the minimum power capacity of the electrical energy storage, is the cost per unit capacity of the electrical energy storage, is the unit cost of the energy storage inverter, is the designed service life of the electrical energy storage; is the power generation of the diesel generator at time t, is the cost of diesel power generation, is the diesel power generation efficiency, and T is the total duration in hours.

[0013] Furthermore, the wind power generation constraint is the wind power generation power constraint, the photovoltaic power generation constraint is the photovoltaic power generation power constraint, and the diesel power generation constraint is the diesel power generation power constraint.

[0014] Furthermore, the expression of the hydrogen energy storage constraint is as follows:

[0015] ;

[0016] In the formula: , are the minimum and maximum values of the remaining power state in hydrogen energy storage respectively, is the hydrogen storage amount at time t;

[0017] is the electrolyzer power at time t, is the fuel cell power at time t;

[0018] M is a constant, is the hydrogen energy storage mode at time t;

[0019] is the electrolyzer operation state at time t, is the lower limit of the fuel cell design capacity, is the upper limit of the fuel cell design capacity;

[0020] is the fuel cell operation state, is the lower limit of the electrolyzer design capacity, is the upper limit of the electrolyzer design capacity;

[0021] is the power of the electrical energy storage discharging at time t, is the load power at time t, is the power of the electrical energy storage charging at time t, and ε is a positive number;

[0022] is the electrolyzer working efficiency, is the fuel cell working efficiency;

[0023] is the minimum design capacity of hydrogen energy storage, is the maximum design capacity of hydrogen energy storage.

[0024] Furthermore, the expression of the electrical energy storage constraint is as follows:

[0025] ;

[0026] In the formula: , are the minimum and maximum values of the remaining power state in the electrical energy storage respectively, is the electrical energy storage amount at time t;

[0027] is the charging operation state, is the discharging operation state, is the upper limit of the pcs design capacity;

[0028] , are the minimum values of the electrical energy storage charging and discharging powers respectively,

[0029] is the charge and discharge efficiency of electrical energy storage.

[0030] Furthermore, the expression of the energy balance constraint is as follows:

[0031] ;

[0032] In the formula: is the wind power generation power at time t, is the photovoltaic power generation power at time t, is the diesel power generation power at time t, is the load power at time t, is a load factor greater than zero.

[0033] Furthermore, the expression of the renewable energy ratio constraint is as follows:

[0034] ;

[0035] In the formula: is the total diesel power generation, is the requirement for the proportion of green electricity, is the total electricity consumption of the load.

[0036] A planning analysis system for a wind-solar-hydrogen-storage-diesel energy system, which is used to implement the planning analysis method of the wind-solar-hydrogen-storage-diesel energy system, is characterized in that: the system includes: a mathematical model construction module, a constraint condition setting module, a mathematical model solving module, and a planning analysis module;

[0037] The mathematical model construction module is used to construct a mathematical model for minimizing the total system cost;

[0038] The constraint condition setting module is used to set constraint conditions for the constructed mathematical model for minimizing the total system cost;

[0039] The mathematical model solving module is used to collect target parameters, and combine the set constraint conditions to solve the mathematical model for minimizing the total system cost, and output the solution result;

[0040] The planning analysis module is used to perform planning analysis on the wind-solar-hydrogen-storage-diesel energy system according to the output solution result.

[0041] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the steps of the planning analysis method of the wind-solar-hydrogen-storage-diesel energy system.

[0042] An electronic device includes a processor, a communication interface, a memory, and a communication bus. Among them, the processor, the communication interface, and the memory complete communication with each other through the communication bus;

[0043] The memory is used to store computer programs;

[0044] When the processor is used to execute the program stored on the memory, the steps of the planning and analysis method of the wind-solar-hydrogen-storage-diesel energy system are realized.

[0045] The beneficial effects of this application compared with the prior art are as follows:

[0046] 1. Through in-depth analysis and optimization calculation of the input data, this application provides a scientific basis for the capacity planning of the wind-solar-hydrogen-storage-diesel energy system.

[0047] 2. By integrating mathematical modeling and optimization algorithms, it is possible to comprehensively consider the characteristics of various energy forms such as wind power generation, photovoltaic power generation, energy storage systems, and diesel generators, as well as their interactions.

[0048] 3. By optimizing the capacity and operation strategies of each device, the wind and solar resources are developed and utilized to the greatest extent. At the same time, by reasonably allocating the energy storage system, energy waste and the phenomenon of abandoning wind and light are reduced, the overall energy utilization efficiency is improved, and the maximum utilization of renewable energy is realized.

[0049] 4. By accurately calculating the optimal capacity configuration of each device, not only can the overall construction and operation costs of the system be significantly reduced, but also the utilization rate of renewable energy can be maximized, and the dependence on traditional fossil fuels is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The following further describes this application with reference to the drawings:

[0051] Figure 1 It is a schematic flow chart of a planning and analysis method for a wind-solar-hydrogen-storage-diesel energy system provided by an embodiment of this application;

[0052] Figure 2 It is a schematic module diagram of a planning and analysis system for a wind-solar-hydrogen-storage-diesel energy system provided by an embodiment of this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0053] As Figure 1 and Figure 2 shown, this application provides a planning and analysis method for a wind-solar-hydrogen-storage-diesel energy system, which mainly includes the following steps:

[0054] S1: Construct a mathematical model for minimizing the total system cost of a wind-solar-hydrogen-storage-diesel energy system. The total system cost includes the investment cost of wind turbines, the cost of photovoltaic power generation, the cost of electrohydrogen production, the cost of fuel cells, the cost of hydrogen storage, the cost of energy storage, and the cost of diesel power generation. In the following text, wind turbines (wind) will be abbreviated as wd; photovoltaic (photovoltaic) will be abbreviated as pv; electrohydrogen (electrohydrogen) will be abbreviated as e2h; fuel cells (hydrogen electrolysis) will be abbreviated as h2e; hydrogen storage (hydrogen storage) will be abbreviated as hs; energy storage (energy storage system) will be abbreviated as ess; energy storage inverter (power conversion system) will be abbreviated as pcs; diesel (diesel generator) will be abbreviated as dgen.

[0055] The model expression is as follows:

[0056] (1);

[0057] In the formula: is the rated capacity of the wind turbine, is the cost per unit capacity of the wind turbine, is the designed service life of the wind turbine; is the rated capacity of the photovoltaic, is the cost per unit capacity of the photovoltaic, is the designed service life of the photovoltaic; is the capacity of the hydrogen storage tank, is the electrohydrogen production per unit capacity, is the fuel cell per unit capacity, is the cost per unit capacity of hydrogen storage, is the cost per unit capacity of electrohydrogen production, is the cost per unit capacity of the fuel cell, is the designed service life of hydrogen storage; is the minimum energy capacity of the electrical energy storage, is the minimum power capacity of the electrical energy storage, is the cost per unit capacity of the electrical energy storage, is the unit cost of the energy storage inverter, is the designed service life of the electrical energy storage; is the power generation of the diesel generator at time t, is the cost of diesel power generation, is the diesel power generation efficiency, and T is the total duration in hours.

[0058] S2: Set the constraint conditions for the mathematical model of minimizing the total system cost. The constraint conditions mainly include:

[0059] S2.1: Wind power generation constraint, and its expression is:

[0060] (2-1);

[0061] Wherein: is the wind power generation power at time t, is the wind power generation characteristic coefficient at time t (between 0 and 1).

[0062] S2.2: Photovoltaic power generation constraint, and its expression is:

[0063] (2-2);

[0064] Wherein: is the photovoltaic power generation power at time t, is the photovoltaic power generation characteristic coefficient at time t (between 0 and 1).

[0065] S2.3: Hydrogen energy storage constraint, and its expression is:

[0066] (2-3);

[0067] Wherein: and are respectively the minimum and maximum values of the state of charge (SOC) of the remaining power in the hydrogen energy storage, is the hydrogen storage amount at time t (kg);

[0068] is the electrolyzer power at time t, is the fuel cell power at time t;

[0069] M is a constant, is the hydrogen energy storage mode at time t (0 or 1, 0 represents the discharge mode, 1 represents the charge mode);

[0070] is the electrolyzer operation state at time t (0 or 1, 0 represents stopped, 1 represents running), is the lower limit of the fuel cell design capacity, is the upper limit of the fuel cell design capacity;

[0071] is the fuel cell operation state at time t (0 or 1, 0 represents stopped, 1 represents running), is the lower limit of the electrolyzer design capacity, is the upper limit of the electrolyzer design capacity;

[0072] is the electrical energy storage discharge power at time t, is the load power at time t, is the charging power of the electrical energy storage at time t, and ε is a positive number;

[0073] is the working efficiency of electrolysis hydrogen production; is the working efficiency of the fuel cell;

[0074] is the minimum design capacity of the hydrogen energy storage; is the maximum design capacity of the hydrogen energy storage.

[0075] S2.4: Electrical energy storage constraint, and its expression is as follows:

[0076] (2-4);

[0077] In the formula: , are respectively the minimum and maximum values of the state of the remaining power in the electrical energy storage, is the stored energy of the electrical energy storage at time t;

[0078] is the charging operation state (0 or 1, 0 means stop, 1 means charging), is the discharging operation state (0 or 1, 0 means stop, 1 means discharging), is the upper limit of the pcs design capacity;

[0079] , are respectively the minimum values of the charging and discharging powers of the electrical energy storage;

[0080] is the charge-discharge efficiency of the electrical energy storage.

[0081] S2.5: Diesel power generation constraint, and its expression is as follows:

[0082] (2-5);

[0083] In the formula: is the diesel power generation power at time t, is the minimum power of diesel power generation per hour, is the maximum power of the diesel generator, is the operation state of the diesel engine at time t (0 or 1, 0 means stop, 1 means charging operation).

[0084] S2.6: Energy balance constraint, and its expression is as follows:

[0085] (2-6);

[0086] In the formula: is a load factor greater than zero.

[0087] S2.7: Renewable energy ratio constraint, and its expression is as follows:

[0088] (2 - 7);

[0089] In the formula: is the total power of diesel power generation, is the proportion requirement of green electricity (all energies except diesel power generation), is the total load power consumption (kWh).

[0090] S3: Collect the target parameters, and combine the set constraint conditions to solve the mathematical model of minimizing the total system cost, specifically including:

[0091] S3.1: Collect and obtain the target parameters: The target parameters include: meteorological parameters, load parameters, equipment parameters, and system parameters.

[0092] The meteorological parameters include wind speed, temperature, solar radiation, etc.;

[0093] The load parameters include the user's power consumption;

[0094] The equipment parameters include the costs, service lives, efficiencies, etc. of equipment such as wind turbines, photovoltaic panels, energy storage systems, and diesel generators;

[0095] The system parameters include the proportion requirement of green electricity, the independent power supply duration of electrical energy storage, the independent power supply days of hydrogen energy storage, etc.

[0096] S3.2: Under the condition of meeting the constraint conditions, input the target parameters into the mathematical model of minimizing the total system cost and solve it, and output the optimization results.

[0097] When solving the mathematical model of minimizing the total system cost, a convex optimization library (such as CVXPY, etc.) and a solver (CPLEX, MOSEK, SCIPY, etc.) can be used.

[0098] S4: According to the output solution results, conduct a planning analysis on the wind-solar-hydrogen-storage-diesel energy system to achieve the minimization of cost or the maximization of energy efficiency.

[0099] The solution results include the capacity configuration, power generation capacity, daily power generation and cost, and energy storage status of each device such as wind turbines, photovoltaics, hydrogen energy storage, electrical energy storage, and diesel generators.

[0100] As Figure 2 shown, this application also proposes a planning analysis system for a wind-solar-hydrogen-storage-diesel energy system, which includes: a mathematical model construction module, a constraint condition setting module, a mathematical model solving module, and a planning analysis module.

[0101] The mathematical model construction module is used to construct a mathematical model for minimizing the total system cost as shown in formula (1);

[0102] The constraint condition setting module is used to set constraint conditions for the constructed mathematical model for minimizing the total cost.

[0103] The mathematical model solving module is used to collect target parameters, and in combination with the set constraint conditions, solve the constructed mathematical model for minimizing the total system cost, and output the solution result.

[0104] The planning and analysis module is used to perform planning and analysis on the wind-solar-hydrogen-storage-diesel energy system according to the output solution result, so as to achieve the minimization of cost or the maximization of energy efficiency.

[0105] Based on the above disclosed content, correspondingly, the present application also provides an electronic device. The electronic device of the embodiment of the present application includes at least one processor and at least one storage medium that are electrically connected. Among them, the storage medium stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method as described above.

[0106] Based on the same inventive concept, the present application also provides a storage medium, and the storage medium stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method as described above.

[0107] The above description and drawings fully illustrate the embodiments of the present application, so that those skilled in the art can practice them. Other embodiments may include structural and other changes. Embodiments only represent possible variations. Unless explicitly required, individual components and functions are optional, and the order of operations can vary. Parts and features of some embodiments can be included in or replaced with parts and features of other embodiments.

[0108] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A planning and analysis method for a wind-solar-hydrogen-storage-diesel energy system, characterized by: The following steps are involved: S1: Construct a mathematical model to minimize the total system cost of the wind-solar-hydrogen-storage-diesel energy system, where the total system cost includes wind turbine investment cost, photovoltaic cost, electricity-to-hydrogen cost, fuel cell cost, hydrogen storage cost and diesel power generation cost; S2: setting constraints for a mathematical model for minimizing the total system cost, wherein the constraints include wind power generation constraints, photovoltaic power generation constraints, hydrogen energy storage constraints, electric energy storage constraints, diesel power generation constraints, energy balance constraints, and renewable energy proportion constraints; S3: Solve the constructed mathematical model for minimizing the total system cost according to the target parameters and set constraints, and output the solution results; the target parameters include meteorological parameters, load parameters, equipment parameters and system parameters; the solution results include the capacity configuration, power generation capacity, daily power generation and cost storage status of each device including wind turbines, photovoltaics, hydrogen energy storage, electric energy storage and diesel generators; S4: Based on the output solution results, plan and analyze the wind, solar, hydrogen, storage and diesel energy system.

2. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 1 is characterized by: The expression of the mathematical model for minimizing the total system cost is as follows: ； Where: is the rated capacity of the fan, is the unit capacity cost of the fan, Design service life of the fan; is the photovoltaic rated capacity, is the unit capacity cost of photovoltaic power generation, Design service life for photovoltaics; is the capacity of the hydrogen storage tank, is the unit capacity of hydrogen produced by electricity, is the unit capacity of the fuel cell, is the unit capacity cost of hydrogen energy storage, The unit capacity cost of hydrogen production from electricity is: is the unit capacity cost of the fuel cell, Designing a useful life for hydrogen energy storage; is the minimum energy capacity of electric energy storage, is the minimum power capacity of the electric energy storage, is the unit capacity cost of electric energy storage, is the unit cost of the energy storage inverter, Designing the service life of electric energy storage; is the power generation of the diesel generator at time t, is the diesel power generation cost, is the diesel power generation efficiency, T is the total duration in hours.

3. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 2 is characterized by: The wind power generation constraint is the wind power generation power constraint, the photovoltaic power generation constraint is the photovoltaic power generation power constraint, and the diesel power generation constraint is the diesel power generation power constraint.

4. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 2 is characterized by: The expression of hydrogen storage constraint is as follows: ； Where: , are the minimum and maximum values ​​of the remaining power in hydrogen energy storage, is the hydrogen storage capacity at time t; is the hydrogen production power at time t, is the fuel cell power at time t; M is a constant, is the hydrogen energy storage mode at time t; is the operating state of hydrogen production by electricity at time t, The lower limit of fuel cell design capacity is Designing a capacity cap for fuel cells; is the fuel cell operating state, The lower limit of the design capacity of hydrogen production from electricity is Designing a capacity cap for hydrogen production from electricity; is the energy storage discharge power at time t, is the load power at time t, is the energy storage charging power at time t, ε is a positive number; For the efficiency of hydrogen production from electricity, For fuel cell working efficiency; The minimum design capacity for hydrogen energy storage, The maximum design capacity for hydrogen energy storage.

5. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 4 is characterized by: The expression of the electric energy storage constraint is as follows: ； Where: , are the minimum and maximum values ​​of the state of the remaining power in the electric energy storage, The energy stored in the electric energy storage at time t; In charging operation state, In the discharge operation state, Design capacity cap for pcs; , are the minimum values ​​of charging and discharging power of the electric energy storage, respectively; It is the charging and discharging efficiency of electrical energy storage.

6. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 5 is characterized by: The expression of the energy balance constraint is as follows: ； Where: is the wind power generation at time t, is the photovoltaic power generation power at time t, is the diesel generator power at time t, is the load power at time t, is a load factor greater than zero.

7. The planning and analysis method of a wind-solar-hydrogen-storage-diesel energy system according to claim 5 is characterized by: The expression of renewable energy proportion constraint is as follows: ； Where: is the total diesel generator power, The requirement for the proportion of green electricity is: is the total load power consumption.

8. A planning and analysis system for a wind-solar-hydrogen-diesel storage energy system, used to implement the planning and analysis method for a wind-solar-hydrogen-diesel storage energy system as claimed in any one of claims 1 to 7, characterized in that: The system includes: a mathematical model building module, a constraint condition setting module, a mathematical model solving module and a planning analysis module; The mathematical model building module is used to build a mathematical model for minimizing the total cost of the system; The constraint condition setting module is used to set constraint conditions for the constructed system total cost minimization mathematical model; The mathematical model solving module is used to collect target parameters, and solve the mathematical model for minimizing the total cost of the system in combination with the set constraints, and output the solution results; The planning and analysis module is used to plan and analyze the wind-solar-hydrogen-storage-diesel energy system according to the output solution results.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the planning and analysis method steps of the wind-solar-hydrogen-storage-diesel energy system are implemented as described in any one of claims 1-7.

10. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory is used to store computer programs; When the processor is used to execute the program stored in the memory, it implements the planning and analysis method steps of the wind-solar-hydrogen-storage-diesel energy system as described in any one of claims 1-7.

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