New energy configuration system based on combination of light, storage and electricity

Abstract

The invention relates to the technical field of new energy configuration management, and discloses a new energy configuration system based on light, storage and electricity combination, which comprises a multi-dimensional acquisition module and an intelligent configuration module. According to the new energy configuration system based on the combination of light, energy storage and electricity, a multi-dimensional acquisition module is connected with a new energy system through a network, operation data of a photovoltaic power generation system, an energy storage system, a power grid and a production factory are obtained and divided into optimization variables, intermediate variables, constant functions and known variables according to data functions, and an intelligent configuration module is provided with an optimization model. A first constraint condition, a second constraint condition, a third constraint condition, a fourth constraint condition and a target function are analyzed and generated, the comprehensive analysis compatibility is high, and the optimization model is optimized according to the first constraint condition, the second constraint condition, the third constraint condition, the fourth constraint condition and the target function. A configuration scheme of the optimal photovoltaic capacity, the optimal energy storage capacity, the optimal charging and discharging power and the optimal charging and discharging quantity is analyzed and generated, and the intelligent configuration flexibility is high.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy configuration management, and in particular to a new energy configuration system based on a combination of light, storage and electricity. Background Art

[0002] The new energy configuration system based on the combination of light, storage and electricity achieves efficient energy utilization by integrating solar power generation, energy storage devices and power dispatching mechanisms. As the main energy source, solar energy is converted into electrical energy through photovoltaic modules. The energy storage system balances supply and demand, improves system stability, and intelligent power dispatch optimizes energy flow and reduces waste. It not only improves the utilization rate of renewable energy, but also significantly reduces carbon emissions, providing strong support for sustainable development. By scientifically configuring photovoltaic power generation systems and energy storage systems, and using operations research mathematical programming methods to obtain the optimal strategy of "peak shaving and valley filling", it can ensure that the power load of the enterprise power grid is within the normal load range, and effectively reduce the basic electricity price and electricity price at the same time.

[0003] At present, the traditional new energy configuration system based on the combination of light, storage and electricity can hardly ensure the compatibility and stability of power supply. The energy loss in the process of electricity storage and re-conversion leads to excessively high costs. There is a lack of advanced data analysis and machine learning algorithms, and it is impossible to adjust the configuration strategy in real time to adapt to changing environmental conditions and market demands. Summary of the invention

[0004] In view of the shortcomings of the existing technology, the present invention provides a new energy configuration system based on the combination of light, storage and electricity, which has the advantages of high comprehensive analysis compatibility and high flexibility of intelligent configuration. It solves the problems that the traditional new energy configuration system based on the combination of light, storage and electricity is difficult to ensure the compatibility and stability of power supply, the cost is too high, and the configuration strategy cannot be adjusted in real time.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a new energy configuration system based on the combination of light, storage and electricity, including a multi-dimensional acquisition module and an intelligent configuration module; The new energy system is composed of a photovoltaic power generation system, an energy storage system, a power grid and a production plant. The multi-dimensional acquisition module is connected to the new energy system through a network to obtain the operating data of the photovoltaic power generation system, the operating data of the energy storage system, the operating data of the power grid and the operating data of the production plant, and is divided into optimization variables, intermediate variables, constant functions and known quantities according to the data functions; The intelligent configuration module is provided with an optimization model , and then combine the optimization variables, intermediate variables, constant functions and known quantities to analyze and generate the first constraint condition, the second constraint condition, the third constraint condition, the fourth constraint condition and the objective function. The optimization model According to the first constraint, the second constraint, the third constraint, the fourth constraint and the objective function, the configuration scheme of optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power and optimal charging and discharging amount is analyzed and generated.

[0006] Preferably, the optimization variables include the photovoltaic power generation system Power generation at the moment , Photovoltaic installed capacity , Energy storage system capacity and the maximum charge and discharge power of the energy storage system ; Among them, photovoltaic installed capacity The expression is: (2.1) In the formula, It means that the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity.

[0007] Preferably, the intermediate variable includes the power when the photovoltaic surplus power is connected to the grid , the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system , Power when purchasing electricity from the grid to charge the energy storage system , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant .

[0008] Preferably, the constant function includes the power load function of the production plant , photovoltaic power generation output function per unit installed capacity and time-of-use electricity pricing function , the known quantity is the existing transformer capacity of the enterprise .

[0009] Preferably, the analysis process of the first constraint condition is as follows: S11. Based on photovoltaic installed capacity , calculate the photovoltaic power generation system in Power generation at the moment , whose expression is: (5.1) In the formula, Represents the installed capacity of the enterprise and the photovoltaic power generation output function under unit installed capacity The product of (5.2) In the formula, Indicates the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system The power when the surplus photovoltaic power is connected to the grid The sum of S12. Since the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity, the maximum power actually output by the photovoltaic power generation system is: (5.3) S13, based on the power purchased from the grid to charge the energy storage system And the power when purchasing electricity from the grid to power the production plant , calculate the grid power supply , whose expression is: (5.4) (5.5) S14. Power generated by the photovoltaic power generation system when supplying power to the production plant , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant , calculate the power load of the production plant , whose expression is: (5.6) S15. According to the above formulas (5.2) and (5.6), the constraint inequality is: (5.7) (5.8) Since the charging and discharging power of the energy storage system at all times cannot exceed the rated maximum charging and discharging power , the constraint inequality obtained by analysis is: + (5.9) (5.10) S16, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: (5.11) In the formula, Indicates the total power of the energy storage system in the previous hour The sum of the charge and discharge within the current hour, where: represents the charging efficiency of the energy storage system, Indicates the discharge efficiency of the energy storage system; Since the real-time power of the energy storage system should be maintained within the rated capacity of the energy storage system, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: (5.12) Substituting formula (5.11) into formula (5.12), the resulting constraint inequality is the first constraint condition: (5.13) Preferably, the analysis process of the second constraint condition is as follows: Since the energy storage system cannot be charged and discharged at the same time, and cannot be charged by the photovoltaic power generation system and the grid at the same time, the second constraint condition obtained by analysis is: (6.1) (6.2) (6.3) Preferably, the analysis process of the third constraint condition is as follows: If the battery power of the energy storage system is set to 0 at the end of each day, it means that the total charge amount of the energy storage system is equal to the total discharge amount each day. The third constraint condition obtained by analysis is: (7.1) Preferably, the fourth constraint condition includes: The power of photovoltaic surplus electricity when it is connected to the grid Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.1) The power of the photovoltaic power generation system when it supplies power to the production plant Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.2) The power of the photovoltaic power generation system when charging the energy storage system Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.3) Power when purchasing electricity from the grid to charge the energy storage system Should be ≥0 and ≤power supply power of the grid , whose expression is: (8.4) Power consumption when purchasing electricity from the grid to supply power to the production plant Should be ≥0 and ≤power supply power of the grid , whose expression is: (8.5) The effective power of the energy storage system when supplying power to the production plant Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.6) The power of the photovoltaic power generation system when charging the energy storage system Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.7) Power when purchasing electricity from the grid to charge the energy storage system Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.8) Maximum charging and discharging power of energy storage system Should be ≥ 0, energy storage system capacity Should be ≥ 0, photovoltaic installed capacity Should be ≥ 0, and its expression is: ； (8.9) Preferably, the analysis process of the objective function is as follows: S21. Based on the construction cost of photovoltaic power generation system , Energy storage system construction cost , Transformer capacity upgrade cost and subsidy benefits , calculate the comprehensive cost of building a new energy system , and its calculation formula is as follows: (9.1) S22. Electricity costs saved by the production plant based on the photovoltaic output of the new energy system , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system 2. The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the power grid , the difference in electricity charges for energy storage systems and daily maintenance costs , calculate the net income of the daily operation of the new energy system for one year , and its calculation formula is as follows: S23. Based on the comprehensive cost of building a new energy system and the net income from daily operation of the new energy system for one year , calculate the payback period of new energy system construction , and its calculation formula is as follows: (9.2) S24. According to the above formula (9.2), the optimization model is obtained The objective function is: (9.3) S25. Optimization model In the objective function, the construction cost of photovoltaic power generation system PV installed capacity There should be a proportional relationship between them, and the expression is: (9.4) In the formula, Represents the construction cost per unit installed capacity in the photovoltaic power generation system; Energy storage system construction cost Energy storage system capacity There should be a positive relationship between them, and the construction cost of the energy storage system Maximum charging and discharging power of energy storage system There should be a proportional relationship between them, and the expression is: (9.5) In the formula, Represents the construction cost per unit installed capacity in the energy storage system, It represents the construction cost per unit charging and discharging power in the energy storage system; Transformer capacity upgrade cost With upgrade capacity There should be a proportional relationship between them, and the expression is: (9.6) In the formula, It represents the upgrade cost per unit capacity of the transformer; Subsidy benefits The expression is: (9.7) In the formula, Indicates the subsidy income per unit of electricity generated in the photovoltaic power generation system, Represents the subsidy income per unit installed capacity in the energy storage system, Indicates the number of years of photovoltaic subsidies, Represents the number of hours in a year; S26. According to the above formulas (9.1), (9.4), (9.5), (9.6) and (9.7), the formula is: The electricity cost saved by the production factory due to the photovoltaic output of the new energy system , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The calculation is based on the product of the unit electricity price and the amount of electricity, so the electricity cost saved by the photovoltaic output of the new energy system for the production factory is , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The expression is: (9.8) (9.9) (9.10) The difference between the electricity cost saved when the energy storage system is discharged and the electricity cost spent when charging is the electricity cost difference of the energy storage system. , get the electricity cost difference of the energy storage system The expression is: Due to routine maintenance costs Based on photovoltaic installed capacity The daily maintenance cost is obtained by The expression is: (9.11) In the formula, Represents the unit daily maintenance cost of the photovoltaic power generation system, represents the unit daily maintenance cost of the energy storage system, Represents the daily maintenance cost of the photovoltaic power generation system and the energy storage system; According to the above formula (9.8), formula (9.9), formula (9.10), formula (9.11) and the difference in electricity charges of the energy storage system , and obtain the net income of the daily operation of the new energy system for one year The formula is: Preferably, the optimization model The solution process is as follows: S31, discretizing the optimization variables, intermediate variables, constant functions, constraint conditions and objective functions in sequence; (10.1) In the formula, It means that the electricity cost saved by the production factory by collecting the photovoltaic output of the new energy system every 15 minutes is discrete values; S32, inputting the optimization variables, intermediate variables, constant functions, constraints and objective functions after discretization into the optimization model , generating initial values ​​that satisfy the first constraint condition, the second constraint condition, the third constraint condition and the fourth constraint condition; S33. Perform optimization iterations through the optimization function fmincon in MATLAB to calculate the minimum value of the objective function. If the calculation result is the minimum value, generate the configuration plan of the optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power, and optimal charging and discharging amount. If the calculation result is not the minimum value, repeat the calculation process of S32 until the calculation result is the minimum value.

[0010] Compared with the prior art, the present invention provides a new energy configuration system based on the combination of light, storage and electricity, which has the following beneficial effects: 1. The present invention connects the new energy system through the network through the multi-dimensional acquisition module to obtain the operating data of the photovoltaic power generation system, the operating data of the energy storage system, the operating data of the power grid and the operating data of the production plant, and divides the data into optimization variables, intermediate variables, constant functions and known quantities according to the data function. The reasonable allocation of intermediate variables is the key point to maximize the benefits of the new energy configuration system composed of photovoltaic energy storage. The intelligent configuration module is provided with an optimization model , which is used to analyze the operating logic of the photovoltaic energy storage new energy system, so as to determine the various variables of the system optimization problem and their interrelationships. It combines the optimization variables, intermediate variables, constant functions and known quantities, comprehensively considers the initial investment cost of the photovoltaic system and energy storage system, system maintenance cost, government photovoltaic power generation subsidy, grid sales electricity price billing rules, photovoltaic grid-connected electricity price, Ningbo photovoltaic output forecast and related industrial enterprises' electricity load forecast and other factors, analyzes and generates the first constraint condition, the second constraint condition, the third constraint condition, the fourth constraint condition and the objective function, and has a high degree of compatibility for comprehensive analysis.

[0011] 2. The present invention substitutes the first constraint, the second constraint, the third constraint, the fourth constraint and the objective function into the optimization model through the intelligent configuration module , and then combine the optimization function fmincon in MATLAB to perform optimization iteration and calculate the minimum value of the objective function. If the calculation result is the minimum value, the configuration scheme of optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power and optimal charging and discharging amount is generated, and the intelligent configuration has high flexibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a schematic diagram of the system flow of the present invention; Figure 2 A schematic diagram of power supply for the new energy system of the present invention; Figure 3 This is an example diagram of the time-of-use electricity price in Zhejiang Province of the present invention; Figure 4 This is a schematic diagram of solving the optimization model of the present invention;. DETAILED DESCRIPTION

[0013] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0014] Since the traditional new energy configuration system based on the combination of light, storage and electricity is difficult to ensure the compatibility and stability of power supply, the energy loss in the process of energy storage and re-conversion leads to high costs, and the lack of advanced data analysis and machine learning algorithms makes it impossible to adjust the configuration strategy in real time to adapt to the changing environmental conditions and market demand. Therefore, a new energy configuration system based on the combination of light, storage and electricity is provided. Please refer to Figure 1 , a new energy configuration system based on the combination of light, storage and electricity, including a multi-dimensional acquisition module and an intelligent configuration module; The new energy system consists of a photovoltaic power generation system, an energy storage system, a power grid and a production plant. The multi-dimensional acquisition module connects the new energy system through the network to obtain the operating data of the photovoltaic power generation system, the energy storage system, the power grid and the production plant, and divides the data into optimization variables, intermediate variables, constant functions and known quantities according to the data function. The optimization variables include the photovoltaic power generation system in Power generation at the moment , Photovoltaic installed capacity , Energy storage system capacity and the maximum charge and discharge power of the energy storage system ; Among them, photovoltaic installed capacity The expression is: (2.1) In the formula, It means that the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity.

[0015] See also Figure 2 The intermediate variables include the power of the photovoltaic surplus power when it is connected to the grid , the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system , Power when purchasing electricity from the grid to charge the energy storage system , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant ,The reasonable allocation of these six intermediate variables is the key point to maximize the benefits of the new energy configuration system consisting of PV and energy storage; Constant functions include the power load function of the production plant , photovoltaic power generation output function per unit installed capacity and time-of-use electricity pricing function , the known quantity is the existing transformer capacity of the enterprise ; Intelligent configuration module is set with optimization model , and then combined with the optimization variables, intermediate variables, constant functions and known quantities, the first constraint condition, the second constraint condition, the third constraint condition, the fourth constraint condition and the objective function are analyzed and generated, and the comprehensive analysis has high compatibility; In actual use, the intelligent configuration module is mainly used to analyze the operation logic of the photovoltaic energy storage new energy system, so as to determine the various variables of the system optimization problem and their interrelationships. Then, a nonlinear mathematical programming model is constructed by comprehensively considering the initial investment cost of the photovoltaic system and the energy storage system, the system maintenance cost, the government photovoltaic power generation subsidy, the grid sales electricity price billing rules, the photovoltaic grid-connected electricity price, the Ningbo photovoltaic output forecast, and the electricity load forecast of related industrial enterprises. Finally, the optimal photovoltaic power generation installed capacity, energy storage installed capacity and power and the optimal charging and discharging strategy of the energy storage system are determined through the optimization algorithm software and programs such as Cplex and fmincon in MATLAB, so as to construct a photovoltaic power supply enterprise composed of "photovoltaic + energy storage", photovoltaic power generation access, photovoltaic power generation energy storage, grid power supply energy storage, energy storage power supply enterprise, and grid power supply enterprise. The optimized configuration plan of new energy coordinated power supply in multiple ways ensures that the basic electricity price and electricity price of the enterprise are effectively reduced under the premise that the enterprise's electricity load is within the normal load range, and the economic goal of reducing costs and increasing efficiency of the enterprise is achieved, while realizing the social value of low-carbon environmental protection. The analysis process of the first constraint is as follows: S11. Based on photovoltaic installed capacity , calculate the photovoltaic power generation system in Power generation at the moment , whose expression is: (5.1) In the formula, Represents the installed capacity of the enterprise and the photovoltaic power generation output function under unit installed capacity The product of (5.2) In the formula, Indicates the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system The power when the surplus photovoltaic power is connected to the grid The sum of S12. Since the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity, the maximum power actually output by the photovoltaic power generation system is: (5.3) S13, based on the power purchased from the grid to charge the energy storage system And the power when purchasing electricity from the grid to power the production plant , calculate the grid power supply , whose expression is: (5.4) (5.5) S14. Power generated by the photovoltaic power generation system when supplying power to the production plant , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant , calculate the power load of the production plant , whose expression is: (5.6) S15. According to the above formulas (5.2) and (5.6), the constraint inequality is: (5.7) (5.8) Since the charging and discharging power of the energy storage system at all times cannot exceed the rated maximum charging and discharging power , the constraint inequality obtained by analysis is: + (5.9) (5.10) S16, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: (5.11) In the formula, Indicates the total power of the energy storage system in the previous hour The sum of the charge and discharge within the current hour, where: represents the charging efficiency of the energy storage system, Indicates the discharge efficiency of the energy storage system, usually taken as ; Since the real-time power of the energy storage system should be maintained within the rated capacity of the energy storage system, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: (5.12) Substituting formula (5.11) into formula (5.12), the resulting constraint inequality is the first constraint condition: (5.13) The analysis process of the second constraint is as follows: Since the energy storage system cannot be charged and discharged at the same time, and cannot be charged by the photovoltaic power generation system and the grid at the same time, the second constraint condition obtained by analysis is: (6.1) (6.2) (6.3) The analysis process of the third constraint is as follows: In order to prevent the remaining power of the energy storage system from affecting the next day's planning, the battery power of the energy storage system at the end of each day is set to 0, which means that the total charge amount of the energy storage system is equal to the total discharge amount. The third constraint condition obtained by analysis is: (7.1) The fourth constraint condition includes: The power of photovoltaic surplus electricity when it is connected to the grid Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.1) The power of the photovoltaic power generation system when it supplies power to the production plant Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.2) The power of the photovoltaic power generation system when charging the energy storage system Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: (8.3) Power when purchasing electricity from the grid to charge the energy storage system Should be ≥0 and ≤power supply power of the grid , whose expression is: (8.4) Power consumption when purchasing electricity from the grid to supply power to the production plant Should be ≥0 and ≤power supply power of the grid , whose expression is: (8.5) The effective power of the energy storage system when supplying power to the production plant Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.6) The power of the photovoltaic power generation system when charging the energy storage system Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.7) Power when purchasing electricity from the grid to charge the energy storage system Should be ≥0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: (8.8) Maximum charging and discharging power of energy storage system Should be ≥ 0, energy storage system capacity Should be ≥ 0, photovoltaic installed capacity Should be ≥ 0, and its expression is: ； (8.9) The analysis process of the objective function is as follows: S21. Based on the construction cost of photovoltaic power generation system , Energy storage system construction cost , Transformer capacity upgrade cost and subsidy benefits Due to local regulations, the government provides short-term or one-time subsidies to photovoltaic and energy storage. That is, to reduce costs, calculate the comprehensive cost of building a new energy system , and its calculation formula is as follows: (9.1) S22. Electricity costs saved by the production plant based on the photovoltaic output of the new energy system , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system 2. The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the power grid , the difference in electricity charges for energy storage systems and daily maintenance costs , calculate the net income of the daily operation of the new energy system for one year , and its calculation formula is as follows: S23. Based on the comprehensive cost of building a new energy system and the net income from daily operation of the new energy system for one year , calculate the payback period of new energy system construction , and its calculation formula is as follows: (9.2) S24. According to the above formula (9.2), the optimization model is obtained The objective function is: (9.3) S25. Optimization model In the objective function, the construction cost of photovoltaic power generation system PV installed capacity There should be a proportional relationship between them, and the expression is: (9.4) In the formula, Represents the construction cost per unit installed capacity in the photovoltaic power generation system; Energy storage system construction cost Energy storage system capacity There should be a positive relationship between them, and the construction cost of the energy storage system Maximum charging and discharging power of energy storage system There should be a proportional relationship between them, and the expression is: (9.5) In the formula, Represents the construction cost per unit installed capacity in the energy storage system, It represents the construction cost per unit charging and discharging power in the energy storage system; Transformer capacity upgrade cost With upgrade capacity There should be a proportional relationship between them, and the expression is: (9.6) In the formula, It represents the upgrade cost per unit capacity of the transformer; Subsidy benefits The expression is: (9.7) In the formula, Indicates the subsidy income per unit of electricity generated in the photovoltaic power generation system, Represents the subsidy income per unit installed capacity in the energy storage system, Indicates the number of years of photovoltaic subsidies, Represents the number of hours in a year; S26. According to the above formulas (9.1), (9.4), (9.5), (9.6) and (9.7), the formula is: The electricity cost saved by the production factory due to the photovoltaic output of the new energy system , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The calculation is based on the product of the unit electricity price and the amount of electricity, so the electricity cost saved by the photovoltaic output of the new energy system for the production factory is , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The expression is: (9.8) (9.9) (9.10) See also Figure 3 The difference between the electricity cost saved when the energy storage system is discharged and the electricity cost spent when charging is the electricity cost difference of the energy storage system. , get the electricity cost difference of the energy storage system The expression is: in, Represents the time-of-use unit electricity price function of the power grid. This function is a piecewise function. The specific numerical examples are: In the formula, They are the unit electricity price during off-peak hours, the unit electricity price during peak hours, and the unit electricity price during peak hours; Due to routine maintenance costs Based on photovoltaic installed capacity The daily maintenance cost is obtained by The expression is: (9.11) In the formula, Represents the unit daily maintenance cost of the photovoltaic power generation system, represents the unit daily maintenance cost of the energy storage system, Represents the daily maintenance cost of the photovoltaic power generation system and the energy storage system; According to the above formula (9.8), formula (9.9), formula (9.10), formula (9.11) and the difference in electricity charges of the energy storage system , and obtain the net income of the daily operation of the new energy system for one year The formula is: Optimizing the model According to the first constraint, the second constraint, the third constraint, the fourth constraint and the objective function, analyze and generate the configuration scheme of the optimal photovoltaic capacity, the optimal energy storage capacity, the optimal charging and discharging power and the optimal charging and discharging amount; Optimizing the model The solution process is as follows: S31. Considering that the photovoltaic output function and enterprise power load function obtained by the collection and prediction are all discrete values, the past values ​​are usually collected every 15 minutes, and the future values ​​are predicted based on them. The time-of-use electricity price is also a piecewise function. Therefore, in the optimization model In the specific calculation, the optimization variables, intermediate variables, constant functions, constraints and objective functions are discretized in turn; (10.1) In the formula, It means that the electricity cost saved by the production factory by collecting the photovoltaic output of the new energy system every 15 minutes is discrete values; S32, inputting the optimization variables, intermediate variables, constant functions, constraints and objective functions after discretization into the optimization model , generating initial values ​​that satisfy the first constraint condition, the second constraint condition, the third constraint condition and the fourth constraint condition; S33. Perform optimization iterations through the optimization function fmincon in MATLAB to calculate the minimum value of the objective function. If the calculation result is the minimum value, generate the configuration plan of the optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power, and optimal charging and discharging amount. If the calculation result is not the minimum value, repeat the calculation process of S32 until the calculation result is the minimum value. The intelligent configuration has high flexibility.

[0016] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A new energy configuration system based on the combination of light, storage and electricity, characterized by: Including multi-dimensional acquisition module and intelligent configuration module; The new energy system is composed of a photovoltaic power generation system, an energy storage system, a power grid and a production plant. The multi-dimensional acquisition module is connected to the new energy system through a network to obtain the operating data of the photovoltaic power generation system, the operating data of the energy storage system, the operating data of the power grid and the operating data of the production plant, and is divided into optimization variables, intermediate variables, constant functions and known quantities according to the data functions; The intelligent configuration module is provided with an optimization model , and then combine the optimization variables, intermediate variables, constant functions and known quantities to analyze and generate the first constraint condition, the second constraint condition, the third constraint condition, the fourth constraint condition and the objective function. The optimization model According to the first constraint, the second constraint, the third constraint, the fourth constraint and the objective function, the configuration scheme of optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power and optimal charging and discharging amount is analyzed and generated.

2. The new energy configuration system based on the combination of light, storage and electricity according to claim 1 is characterized in that: The optimization variables include the photovoltaic power generation system Power generation at the moment , Photovoltaic installed capacity , Energy storage system capacity and the maximum charge and discharge power of the energy storage system ; Among them, photovoltaic installed capacity The expression is: （2.1） In the formula, It means that the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity.

3. The new energy configuration system based on the combination of light, storage and electricity according to claim 2 is characterized in that: The intermediate variables include the power when the photovoltaic surplus electricity is connected to the grid , the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system , Power when purchasing electricity from the grid to charge the energy storage system , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant .

4. The new energy configuration system based on the combination of light, storage and electricity according to claim 3 is characterized by: The constant function includes the power load function of the production plant , photovoltaic power generation output function per unit installed capacity and time-of-use electricity pricing function , the known quantity is the existing transformer capacity of the enterprise .

5. The new energy configuration system based on the combination of light, storage and electricity according to claim 4 is characterized in that: The analysis process of the first constraint condition is as follows: S11. Based on photovoltaic installed capacity , calculate the photovoltaic power generation system in Power generation at the moment , whose expression is: （5.1） In the formula, Represents the installed capacity of the enterprise and the photovoltaic power generation output function under unit installed capacity The product of （5.2） In the formula, Indicates the power of the photovoltaic power generation system when it supplies power to the production plant , the power of the photovoltaic power generation system charging the energy storage system The power when the surplus photovoltaic power is connected to the grid The sum of S12. Since the maximum power actually output by the photovoltaic power generation system should be 80% of the installed capacity, the maximum power actually output by the photovoltaic power generation system is: （5.3） S13, based on the power purchased from the grid to charge the energy storage system And the power when purchasing electricity from the grid to power the production plant , calculate the grid power supply , whose expression is: （5.4） （5.5） S14. Power generated by the photovoltaic power generation system when supplying power to the production plant , Power when purchasing electricity from the power grid to supply power to the production plant The effective power when the energy storage system supplies power to the production plant , calculate the power load of the production plant , whose expression is: （5.6） S15. According to the above formulas (5.2) and (5.6), the constraint inequality is: （5.7） （5.8） Since the charging and discharging power of the energy storage system at all times cannot exceed the rated maximum charging and discharging power , the constraint inequality obtained by analysis is: + （5.9） （5.10） S16, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: （5.11） In the formula, Indicates the total power of the energy storage system in the previous hour The sum of the charge and discharge within the current hour, where: represents the charging efficiency of the energy storage system, Indicates the discharge efficiency of the energy storage system; Since the real-time power of the energy storage system should be maintained within the rated capacity of the energy storage system, during the charging and discharging process of the energy storage system, Real-time power at all times Should meet: （5.12） Substituting formula (5.11) into formula (5.12), the resulting constraint inequality is the first constraint condition: （5.13）。 6. The new energy configuration system based on the combination of light, storage and electricity according to claim 5 is characterized in that: The analysis process of the second constraint condition is as follows: Since the energy storage system cannot be charged and discharged at the same time, and cannot be charged by the photovoltaic power generation system and the grid at the same time, the second constraint condition obtained by analysis is: （6.1） （6.2） （6.3）。 7. The new energy configuration system based on the combination of light, storage and electricity according to claim 6 is characterized in that: The analysis process of the third constraint condition is as follows: If the battery power of the energy storage system is set to 0 at the end of each day, it means that the total charge amount of the energy storage system is equal to the total discharge amount each day. The third constraint condition obtained by analysis is: （7.1）。 8. The new energy configuration system based on the combination of light, storage and electricity according to claim 7 is characterized in that: The fourth constraint condition includes: Power when photovoltaic surplus electricity is connected to the grid Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: （8.1） The power of the photovoltaic power generation system when it supplies power to the production plant Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: （8.2） The power of the photovoltaic power generation system when charging the energy storage system Should be ≥0 and ≤ the photovoltaic power generation system Power generation at the moment , whose expression is: （8.3） Power when purchasing electricity from the grid to charge the energy storage system Should be ≥0 and ≤power supply power of the grid , whose expression is: （8.4） Power consumption when purchasing electricity from the grid to supply power to the production plant Should be ≥0 and ≤power supply power of the grid , whose expression is: （8.5） The effective power of the energy storage system when supplying power to the production plant Should be ≥ 0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: （8.6） The power of the photovoltaic power generation system when charging the energy storage system Should be ≥ 0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: （8.7） Power when purchasing electricity from the grid to charge the energy storage system Should be ≥ 0 and ≤ the maximum charging and discharging power of the energy storage system , whose expression is: （8.8） Maximum charging and discharging power of energy storage system Should be ≥ 0, energy storage system capacity Should be ≥ 0, photovoltaic installed capacity Should be ≥ 0, and its expression is: ； （8.9）。 9. The new energy configuration system based on the combination of light, storage and electricity according to claim 8 is characterized in that: The analysis process of the objective function is as follows: S21. Based on the construction cost of photovoltaic power generation system , Energy storage system construction cost , Transformer capacity upgrade cost and subsidy benefits , calculate the comprehensive cost of building a new energy system , and its calculation formula is as follows: （9.1） S22. Electricity costs saved by the production plant based on the photovoltaic output of the new energy system , The electricity cost saved by the photovoltaic output of the new energy system for the energy storage system 2. The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the power grid , the difference in electricity charges for energy storage systems and daily maintenance costs , calculate the net income of the daily operation of the new energy system for one year , and its calculation formula is as follows: S23. Based on the comprehensive cost of building a new energy system and the net income from daily operation of the new energy system for one year , calculate the payback period of new energy system construction , and its calculation formula is as follows: （9.2） S24. According to the above formula (9.2), the optimization model is obtained The objective function is: （9.3） S25. Optimization model In the objective function, the construction cost of photovoltaic power generation system PV installed capacity There should be a proportional relationship between them, and the expression is: （9.4） In the formula, Represents the construction cost per unit installed capacity in the photovoltaic power generation system; Energy storage system construction cost Energy storage system capacity There should be a positive relationship between them, and the construction cost of the energy storage system Maximum charging and discharging power of energy storage system There should be a proportional relationship between them, and the expression is: （9.5） In the formula, Represents the construction cost per unit installed capacity in the energy storage system, It represents the construction cost per unit charging and discharging power in the energy storage system; Transformer capacity upgrade cost With upgrade capacity There should be a proportional relationship between them, and the expression is: （9.6） In the formula, It represents the upgrade cost per unit capacity of the transformer; Subsidy benefits The expression is: （9.7） In the formula, Indicates the subsidy income per unit of electricity generated in the photovoltaic power generation system, Represents the subsidy income per unit installed capacity in the energy storage system, Indicates the number of years of photovoltaic subsidies, Represents the number of hours in a year; S26. According to the above formulas (9.1), (9.4), (9.5), (9.6) and (9.7), the formula is: The electricity cost saved by the production factory due to the photovoltaic output of the new energy system , the electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The calculation is based on the product of the unit electricity price and the amount of electricity, so the electricity cost saved by the photovoltaic output of the new energy system for the production factory is , the electricity cost saved by the photovoltaic output of the new energy system for the energy storage system The electricity fee income obtained when the surplus power of photovoltaic power generation system is connected to the grid The expression is: （9.8） （9.9） （9.10） The difference between the electricity cost saved when the energy storage system is discharged and the electricity cost spent when charging is the electricity cost difference of the energy storage system. , get the electricity cost difference of the energy storage system The expression is: Due to routine maintenance costs Based on photovoltaic installed capacity The daily maintenance cost is obtained by The expression is: （9.11） In the formula, Represents the unit daily maintenance cost of the photovoltaic power generation system, represents the unit daily maintenance cost of the energy storage system, Represents the daily maintenance cost of the photovoltaic power generation system and the energy storage system; According to the above formula (9.8), formula (9.9), formula (9.10), formula (9.11) and the difference in electricity charges of the energy storage system , and obtain the net income of the daily operation of the new energy system for one year The formula is: 。 10. The new energy configuration system based on the combination of light, storage and electricity according to claim 9 is characterized in that: The optimization model The solution process is as follows: S31, discretizing the optimization variables, intermediate variables, constant functions, constraint conditions and objective functions in sequence; （10.1） In the formula, It means that the electricity cost saved by the production factory by collecting the photovoltaic output of the new energy system every 15 minutes is discrete values; S32, inputting the optimization variables, intermediate variables, constant functions, constraints and objective functions after discretization into the optimization model , generating initial values ​​that satisfy the first constraint condition, the second constraint condition, the third constraint condition and the fourth constraint condition; S33. Perform optimization iterations through the optimization function fmincon in MATLAB to calculate the minimum value of the objective function. If the calculation result is the minimum value, generate the configuration plan of the optimal photovoltaic capacity, optimal energy storage capacity, optimal charging and discharging power, and optimal charging and discharging amount. If the calculation result is not the minimum value, repeat the calculation process of S32 until the calculation result is the minimum value.

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