Power grid new energy configuration method and system

Abstract

The invention discloses a power grid new energy configuration method and system, and belongs to the field of power systems, and the method comprises the steps: firstly obtaining power grid electric quantity data, and calculating the initial installation scale of new energy and the initial capacity of an energy storage system; and iteratively updating the installation scale and capacity according to a preset power simulation production simulation model until the number of days of power shortage and the total investment cost meet preset requirements, outputting a current result, and determining power grid new energy configuration. Therefore, by implementing the invention, the problems of insufficient power supply reliability and consumption capability of new energy configuration in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and particularly to a method and system for configuring new energy in a power grid. Background Art

[0002] In modern power systems, in some areas, new energy resource endowments are superior but the power grid framework is weak. The output of new energy is misaligned with the load demand in terms of time and space due to the dependence of photovoltaics on weather, the intermittency of wind power, and the reverse peak shaving characteristics, resulting in difficult consumption and significant pressure on the power grid frequency stability, voltage regulation, and supply-demand balance.

[0003] In the prior art, the new energy configuration strategies for weak power grids mostly adopt the method of single technology dominance or simple superposition of energy storage. Due to the lack of a quantitative evaluation system for power supply reliability, it is difficult to balance power supply reliability in economic optimization, and the model lacks dynamic adaptability. Therefore, there are systematic defects, unable to meet the flexible control requirements in complex operation scenarios, and difficult to solve the problems of power supply guarantee for weak power grids and efficient consumption of new energy. Summary of the Invention

[0004] The present invention provides a method and system for configuring new energy in a power grid, which can solve the problems of insufficient power supply reliability and consumption capacity in new energy configuration in the prior art.

[0005] In a first aspect, an embodiment of the present invention provides a method for configuring new energy in a power grid, including: Obtain the power quantity data of the power grid, and calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data, and then output the initial installed capacity of new energy as the first installed capacity, and the initial capacity of the energy storage system as the first capacity; According to a preset power simulation production simulation model, iteratively update the first installed capacity and the first capacity until both the power shortage days of the current iteration and the total investment cost of the current iteration meet the preset requirements, and output the first installed capacity and the first capacity of the current iteration; wherein, the power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is calculated based on the power quantity data, the first installed capacity of the current iteration, and the first capacity of the current iteration; in each iteration, update the first installed capacity and the first capacity according to the power shortage days of the current iteration and the total investment cost of the current iteration; Determine the new energy configuration of the power grid according to the output first installed capacity and first capacity.

[0006] In the embodiments of the present application, by calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data of a weak power grid, the actual power situation of the weak power grid can be closely combined. This enables the planning of new energy and the energy storage system to match the actual demands of the power grid from the very beginning, avoiding problems of over - planning or under - planning. By inputting the first installed capacity and the first capacity into a preset power simulation production simulation model, the number of power - shortage days is obtained. During the iterative process, the number of power - shortage days is used as an important evaluation index to continuously adjust the first installed capacity and the first capacity. In this way, the risk of power shortage in the power grid can be effectively reduced, ensuring that the power demand can be met under various working conditions and improving the power supply reliability of the power grid. At the same time, the total investment cost is incorporated into the considerations of iterative optimization. By continuously adjusting the first installed capacity and the first capacity, the total investment cost can be minimized on the premise of meeting the power supply reliability. In summary, through the dynamic optimization of the configuration of the new - energy installed capacity and the energy - storage capacity, the present application can effectively enhance the power supply stability of the power grid in the scenario of new - energy output fluctuations, improve the spatio - temporal matching efficiency of wind - solar resources and load demands, significantly improve the new - energy consumption capacity, and strengthen the guarantee of power supply reliability.

[0007] As a preferred example of the first aspect, the calculation of the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data includes: The power quantity data includes the annual total power consumption of the power grid, the photovoltaic proportion coefficient, the annual utilization hours of photovoltaic power, and the annual utilization hours of wind power; the initial installed capacity of new energy includes the installed capacity of photovoltaic power and the installed capacity of wind power; Calculate the initial installed capacity of new energy according to the following formula: Where, is the installed capacity of photovoltaic power, is the installed capacity of wind power, is the annual total power consumption of the power grid, is the photovoltaic proportion coefficient, is the annual utilization hours of photovoltaic power, is the annual utilization hours of wind power.

[0008] In this preferred example, by calculating the initial installed capacity of new energy using power quantity data such as the annual total power consumption of the power grid, the photovoltaic proportion coefficient, and the annual utilization hours of photovoltaic and wind power, the present application fully combines the actual power - consumption characteristics of the power grid with the new - energy power - generation characteristics, making the determination of the installed capacity of photovoltaic and wind power more in line with the real demands of the power grid, avoiding the disconnection between the installed - capacity planning and the actual power - consumption situation, and ensuring a better match between new - energy power generation and the power - grid load.

[0009] As a preferred example of the first aspect, the calculation of the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data includes: The power quantity data includes the maximum grid load, the power shortage duration during the non-light period in the evening on the day with the maximum load, and the energy storage discharge duration. Calculate the initial capacity of the energy storage system according to the following formula: Wherein, is the initial capacity of the energy storage system, is the maximum grid load, is the power shortage duration during the non-light period in the evening on the day with the maximum load, is the energy storage discharge duration.

[0010] In this preferred example, by calculating the energy storage capacity based on the maximum grid load, this application can closely focus on the peak electricity demand of the grid, ensuring that the energy storage system can effectively provide power support during the grid load peak; in addition, this application combines the power shortage duration during the non-light period in the evening on the day with the maximum load to calculate the energy storage capacity, specifically configuring energy storage for the power shortage problem of the grid during a specific non-light period, effectively coping with the power supply gap caused by the inability of new energy to generate electricity due to the lack of light, ensuring the continuous power supply during this special period, and improving the reliability and stability of the grid power supply.

[0011] As a preferred example of the first aspect, the total investment cost is obtained by calculating according to the power quantity data, the first installed capacity of the current iteration, and the first capacity of the current iteration, and includes: The power quantity data of the grid includes the unit construction cost of photovoltaic, the unit construction cost of wind power, and the unit construction cost of energy storage. Calculate the total investment cost according to the following formula: Wherein, is the total investment cost, and are the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic, is the unit construction cost of wind power, is the unit construction cost of energy storage.

[0012] In this preferred example, incorporating the unit construction costs of photovoltaic, wind power, and energy storage into the calculation of the total investment cost comprehensively covers the key investment elements of the grid new energy and energy storage projects, avoiding the one-sidedness of single-cost consideration.

[0013] As a preferred example of the first aspect, the number of power shortage days is obtained by inputting the first installed capacity and the first capacity of the current iteration into a preset power simulation production simulation model, and includes: Input the first installed capacity and the first capacity of the current iteration into a preset power simulation production simulation model to obtain the annual power supply-demand matching situation, and then calculate the power shortage days based on the annual power supply-demand matching situation.

[0014] In this preferred example, by inputting the installed capacity and capacity parameters into the power simulation production simulation model and calculating the power shortage days, the quantitative evaluation of the power grid power supply reliability and the dynamic optimization of the configuration scheme are realized, and the new energy consumption and power supply-demand balance ability under complex working conditions are improved.

[0015] As a preferred example of the first aspect, calculating the power shortage days based on the annual power supply-demand matching situation includes: The specific calculation formula for calculating the power shortage days based on the annual power supply-demand matching situation is as follows: Where, is the annual power shortage days, is the power shortage flag for the i-th hour. If the power supply is insufficient in this hour, then = 1, otherwise = 0.

[0016] In this preferred example, based on the annual power supply-demand matching situation, by judging hour by hour whether the power supply is insufficient (the value of the power shortage flag) and accumulating and calculating the power shortage days, the duration of the annual power supply shortage of the power grid can be accurately quantified, providing an accurate and detailed basis for evaluating the power supply reliability, and making the judgment of the power shortage situation more scientific and accurate.

[0017] In the second aspect, the embodiment of the present application also provides a power grid new energy configuration system, including: an initial calculation module, an iterative judgment module, and a result output module; The initial calculation module is used to obtain the power quantity data of the power grid, calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data of the power grid, and then output the initial installed capacity of new energy as the first installed capacity and the initial capacity of the energy storage system as the first capacity; The iterative judgment module is used to iteratively update the first installed capacity and the first capacity according to a preset power simulation production simulation model until the power shortage days and the total investment cost of the current iteration both meet the preset requirements, and output the first installed capacity and the first capacity of the current iteration; where, the power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is calculated based on the power quantity data, the first installed capacity of the current iteration and the first capacity of the current iteration; each time of iteration, the first installed capacity and the first capacity are updated according to the power shortage days and the total investment cost of the current iteration; The result output module is used to determine the new energy configuration of the power grid according to the output first installed capacity and first capacity.

[0018] As a preferred example of the second aspect, the initial calculation module includes a first calculation unit; The electricity data of the power grid includes the total annual electricity consumption of the weak power grid, the photovoltaic power ratio, the annual photovoltaic power utilization hours, and the annual wind power utilization hours; the initial installed capacity of new energy includes the photovoltaic power installed capacity and the wind power installed capacity; The first calculation unit is used to calculate the initial installed capacity of the new energy according to the following formula: in, is the photovoltaic installed capacity, is the installed capacity of wind power, is the total annual electricity consumption of the weak power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

[0019] As a preferred example of the second aspect, the initial calculation module further includes a second calculation unit; The power data of the power grid includes the maximum load of the power grid, the duration of power shortage during the dark period in the evening on the maximum load day, and the duration of energy storage discharge; The second calculation unit is configured to calculate the initial capacity of the energy storage system according to the following formula: in, is the initial capacity of the energy storage system, is the maximum load of the power grid, The duration of power shortage during the dark period at night on the day with the maximum load. is the energy storage discharge time.

[0020] As a preferred example of the second aspect, the iterative judgment module includes a cost calculation unit; The power data of the power grid includes the unit cost of photovoltaic power, the unit cost of wind power and the unit cost of energy storage; The cost calculation unit is used to calculate the total investment cost according to the following formula: in, is the total investment cost, and is the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic is the unit construction cost of wind power is the unit construction cost of energy storage

[0021] As a preferred example of the second aspect, the iterative judgment module further includes a power shortage days calculation unit; The power shortage days calculation unit is configured to input the first installed capacity and the first capacity of the current iteration into a preset power simulation production simulation model to obtain the annual power supply-demand matching situation, and then calculate the power shortage days based on the annual power supply-demand matching situation.

[0022] As a preferred example of the second aspect, calculating the power shortage days based on the annual power supply-demand matching situation includes: The calculation formula for calculating the power shortage days based on the annual power supply-demand matching situation is as follows: where is the annual power shortage days is the power shortage flag for the i-th hour. If the power supply is insufficient in this hour, then = 1, otherwise = 0.

[0023] In summary, in the embodiments of the present application, by calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data of the weak power grid, it can be closely combined with the actual power situation of the weak power grid. This enables the planning of new energy and the energy storage system to match the actual needs of the power grid from the very beginning, avoiding the problems of over-planning or under-planning. By inputting the first installed capacity and the first capacity into the preset power simulation production simulation model to obtain the power shortage days, during the iterative process, using the power shortage days as an important evaluation index, continuously adjusting the first installed capacity and the first capacity. In this way, the risk of power shortage in the power grid can be effectively reduced, ensuring that the power demand can be met under various working conditions and improving the power supply reliability of the power grid. At the same time, incorporating the total investment cost into the consideration factors of iterative optimization, by continuously adjusting the first installed capacity and the first capacity, while meeting the power supply reliability, the total investment cost is minimized as much as possible. In addition, during the optimization process, the total investment cost is also taken into account, so that the new energy configuration of the power grid can not only ensure the reliability of power supply but also achieve the optimal economy. Through continuous optimization and adjustment, ultimately, while meeting the stability of power supply, the new energy and the energy storage system achieve the optimal control of the investment cost and realize the balance of cost-benefit. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] To more clearly illustrate the technical solutions of this application, the accompanying drawings required for the implementation will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of this application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can be obtained based on these drawings.

[0025] Figure 1 It is a schematic flowchart of a power grid new energy configuration method provided by some embodiments of this application; Figure 2 It is a schematic logical diagram of a power grid new energy configuration method provided by some embodiments of this application; Figure 3 It is a schematic structural diagram of a power grid new energy configuration system provided by some embodiments of this application. Detailed implementation manners

[0026] To make the objectives, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are some, but not all, of the embodiments of this application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of this application without creative efforts fall within the scope of protection of this application.

[0027] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this application belongs; the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification and claims of this application and the above accompanying drawing descriptions are intended to cover non-exclusive inclusion.

[0028] In the description of the embodiments of this application, technical terms such as "first" and "second" are only used to distinguish different objects and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity, specific order or primary-secondary relationship of the indicated technical features. In the description of the embodiments of this application, "a plurality of" means two or more unless otherwise specifically defined.

[0029] Referring to "embodiments" herein means that specific features, structures or characteristics described in connection with the embodiments can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0030] In the description of the embodiments of the present application, the term "and / or" is merely an association relationship describing associated objects, indicating that there can be three relationships. For example, A and / or B can represent three situations: A exists alone, A and B exist simultaneously, and B exists alone. Additionally, in this text, the character " / " generally indicates an "or" relationship between the preceding and following associated objects.

[0031] In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two). Similarly, "multiple groups" refers to two or more groups (including two groups), and "multiple pieces" refers to two or more pieces (including two pieces).

[0032] In the description of the embodiments of the present application, unless otherwise clearly specified and limited, technical terms such as "installation", "connection", "linkage", "fixation", etc. should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or integrated; it can also be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and can be the communication inside two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0033] Some regions are endowed with superior wind and solar energy resources and have great potential for large-scale development. However, this area is sparsely populated, the demand for energy and electricity is significantly lower than that of the load center, and the grid network structure is weak. The construction of conventional power sources is limited by natural conditions and investment costs, resulting in an increasingly prominent contradiction in power supply guarantee. At the same time, new energy power generation has inherent characteristics. The output of photovoltaic power generation is significantly affected by weather fluctuations, with midday peaks, sudden drops at dawn and dusk, and irregular fluctuations; the intermittency and anti-peaking characteristics of wind power output are stronger, the peak and trough periods of output are random, and the output at night is generally higher than that during the day, with an obvious spatio-temporal mismatch with the load demand. This uncertainty makes it difficult to consume new energy and causes significant pressure on the grid frequency stability, voltage regulation, and power supply and demand balance.

[0034] To solve the above problems, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0035] Embodiment 1 See Figure 1 and Figure 2 , to solve the problems of insufficient power supply reliability and consumption capacity in the existing new energy configuration, a method for configuring new energy in a power grid provided by an embodiment of the present invention includes: S1. Obtain the power consumption data of the power grid, calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data, and then output the initial installed capacity of new energy as the first installed capacity and the initial capacity of the energy storage system as the first capacity. Further, in some embodiments of the present application, the calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data includes: The power consumption data includes the total annual power consumption of the power grid, the photovoltaic proportion coefficient, the annual utilization hours of photovoltaic power, and the annual utilization hours of wind power; the initial installed capacity of new energy includes the installed capacity of photovoltaic power and the installed capacity of wind power. Calculate the initial installed capacity of new energy according to the following formula: Wherein, is the installed capacity of photovoltaic power, is the installed capacity of wind power, is the total annual power consumption of the power grid, is the photovoltaic proportion coefficient, is the annual utilization hours of photovoltaic power, is the annual utilization hours of wind power.

[0036] Specifically, the annual utilization hours of photovoltaic power and the annual utilization hours of wind power can be obtained in the following way: Historical meteorological data contains information such as sunlight and wind speed over the years and is the basis for calculating the utilization hours. By collecting meteorological data for at least the past 5 - 10 years in the local area, including key data such as daily sunshine duration, light intensity, and wind speed. Use professional energy simulation software, such as PVsyst (for photovoltaic system simulation) and WindPRO (for wind power system simulation), and input the historical meteorological data into the software. In the PVsyst software, according to parameters such as the type of photovoltaic modules, installation angle, and local geographical latitude, simulate and calculate the power generation power and total annual power generation of the photovoltaic system under different meteorological conditions, and then obtain the annual utilization hours of photovoltaic power (ts). For wind power, in the WindPRO software, combine information such as the technical parameters of the wind turbine, hub height, and wind shear index, simulate the power generation of the wind turbine at different wind speeds, and calculate the total annual power generation of wind power, thereby obtaining the annual utilization hours of wind power (tw).

[0037] In this way, by using power consumption data such as the total annual power consumption of the power grid, the photovoltaic proportion coefficient, and the annual utilization hours of photovoltaic and wind power to calculate the initial installed capacity of new energy, the present application fully combines the actual power consumption characteristics of the power grid with the new energy generation characteristics, making the determination of the installed capacity of photovoltaic and wind power more in line with the real needs of the power grid, avoiding the disconnection between the installed capacity plan and the actual power consumption situation, and ensuring a better match between new energy generation and the power grid load.

[0038] Further, in some embodiments of the present application, calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data includes: The power consumption data includes the maximum load of the power grid, the power shortage duration during the lightless period at night on the day with the maximum load, and the energy storage discharge duration; Calculate the initial capacity of the energy storage system according to the following formula: Wherein, is the initial capacity of the energy storage system, is the maximum load of the power grid, is the power shortage duration during the lightless period at night on the day with the maximum load, is the energy storage discharge duration.

[0039] Specifically, the power shortage duration during the lightless period at night on the day with the maximum load can be obtained in the following way: Collect the historical load data of the local power grid for at least the past 3 - 5 years, including the load power values at each time period of each day. At the same time, obtain the output data of new energy (photovoltaic, wind power) for the corresponding time period. From these data, screen out the data of the days with the maximum load of the power grid each year. For the days with the maximum load, determine the lightless period at night. Since the output of photovoltaic is zero when there is no light at night, focus on analyzing the difference between the output of wind power and the load demand during this period. If the output of wind power is less than the load demand, there is a power gap. Start timing from the moment when the output of wind power is less than the load demand until the output of wind power can meet the load demand or other power sources supplement the power gap, and stop timing. Add up these power shortage time periods to obtain the power shortage duration (T power shortage) during the lightless period at night on the day with the maximum load. For example, on the day with the maximum load in a certain year, the lightless period at night is from 20:00 to 23:00. During the period from 20:00 to 21:30, the output of wind power is less than the load demand. From 21:30 to 22:00, other power sources supplement the power gap. From 22:00 to 23:00, the output of wind power is less than the load demand again. Then T power shortage = 1.5 + 1 = 2.5 hours.

[0040] By calculating the energy storage capacity based on the maximum load of the power grid in this way, the present application can closely focus on the peak power consumption demand of the power grid and ensure that the energy storage system can effectively provide power support during the peak load of the power grid; in addition, the present application combines the power shortage duration during the lightless period at night on the day with the maximum load to calculate the energy storage capacity, specifically configures energy storage for the power shortage problem of the power grid during a specific lightless period, effectively responds to the power supply gap caused by the inability of new energy to generate electricity due to the lack of light, ensures the continuous power supply during this special period, and improves the reliability and stability of the power grid power supply.

[0041] S2. According to the preset power simulation production simulation model, iteratively update the first installed capacity and the first capacity until both the power shortage days of the current iteration and the total investment cost of the current iteration meet the preset requirements, and output the first installed capacity and the first capacity of the current iteration; wherein, the power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is calculated based on the electricity quantity data, the first installed capacity of the current iteration, and the first capacity of the current iteration; in each iteration, update the first installed capacity and the first capacity according to the power shortage days of the current iteration and the total investment cost of the current iteration. Further, in some embodiments of the present application, calculating the total investment cost according to the electricity quantity data includes: The total investment cost is calculated based on the electricity quantity data, the first installed capacity of the current iteration, and the first capacity of the current iteration, including: Calculate the total investment cost according to the following formula: Wherein, is the total investment cost, and is the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic, is the unit construction cost of wind power, is the unit construction cost of energy storage.

[0042] Specifically, the calculation method of the final investment cost can be: The final investment cost includes the sum of the total investment cost, the present value of the operation and maintenance cost, and the present value of the equipment depreciation cost. Among them, the calculation methods of the present value of the operation and maintenance cost and the present value of the equipment depreciation cost can be as follows: ① Calculation method of operation and maintenance cost: The operation and maintenance cost includes the daily maintenance cost, overhaul cost, labor cost, etc. of the equipment. For a photovoltaic power station, the operation and maintenance cost can be estimated according to the cost per kilowatt of installed capacity per year. Generally speaking, the operation and maintenance cost of a photovoltaic power station is about 30 - 50 yuan / kW per year. Assuming the photovoltaic installed capacity is , then the annual operation and maintenance cost of the photovoltaic power station is yuan. For a wind farm, the operation and maintenance cost is about 50 - 80 yuan / kW per year. If the wind power installed capacity is , then the annual operation and maintenance cost of the wind farm is yuan. For an energy storage system, the operation and maintenance cost is relatively high, about 80 - 120 yuan / kWh per year. Assuming the energy storage capacity is , the annual operation and maintenance cost of the energy storage system is yuan. During the economic evaluation period of the project (such as 20 years), the annual operation and maintenance costs are cumulatively discounted. Considering the time value of funds, the discount rate can refer to the industry benchmark yield or the local market interest rate. Assume the discount rate is , and the economic evaluation period of the project is years, then the present value of the operation and maintenance cost.

[0043] ② Calculation method of equipment depreciation cost: The equipment depreciation cost is usually calculated by the straight-line depreciation method. For photovoltaic modules, their service life is generally about 25 years. Assume the initial investment cost of the photovoltaic modules is (ten thousand yuan), then the annual depreciation expense is calculated as follows: For wind turbines, the service life is generally about 20 years. If the initial investment cost of the wind turbine is (ten thousand yuan), then the annual depreciation expense is calculated as follows: For the energy storage system, the service life is generally 10 - 15 years. Assume the initial investment cost of the energy storage system is (ten thousand yuan), then the annual depreciation expense is calculated as follows: Similarly, during the economic evaluation period of the project, the annual equipment depreciation costs are cumulatively discounted. The present value of the equipment depreciation cost is calculated as follows: In this way, the unit construction cost of photovoltaic, wind power, and energy storage is incorporated into the total investment cost calculation, comprehensively covering the key investment elements of the power grid new energy and energy storage projects, and avoiding the one-sidedness of single-cost consideration.

[0044] Further, in some embodiments of the present application, the number of power shortage days is obtained by inputting the first installed capacity and the first capacity of the current iteration into a preset power simulation production simulation model, including: Input the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model to obtain the annual power supply and demand matching situation, and then calculate the number of power shortage days based on the annual power supply and demand matching situation.

[0045] In this way, by inputting the installed capacity and capacity parameters into the power simulation production simulation model and calculating the number of power shortage days, the quantitative evaluation of the power grid power supply reliability and the dynamic optimization of the configuration scheme are realized, and the new energy consumption and power supply and demand balance capabilities under complex working conditions are improved.

[0046] Further, in some embodiments of the present application, calculating the power shortage days based on the annual power supply-demand matching situation includes: The formula for calculating the power shortage days based on the annual power supply-demand matching situation is as follows: Wherein, is the annual power shortage days, is the power shortage flag for the i-th hour. If the power supply is insufficient in this hour, then = 1; otherwise = 0.

[0047] Specifically, the preset power simulation production simulation model includes power grid operation constraint conditions and energy storage system parameters, which can be realized in the following ways: (1) Power grid operation constraint conditions ① Line transmission capacity limit: The line transmission capacity depends on the parameters of the line, such as wire type, cross-sectional area, length, line reactance, resistance, etc., as well as relevant safety standards. According to the physical parameters of the line, the transmission capacity limit is determined by calculating the thermal stability limit current of the line. For example, for a specific type of wire, its thermal stability limit current can be calculated by the following formula: Wherein, is the maximum allowable heating energy of the wire (related to the wire material characteristics), is the wire resistance, and is the allowable heating time. In actual operation, considering a certain safety margin, the actual transmission capacity of the line is usually the thermal stability limit current multiplied by a safety factor less than 1 (such as 0.8 - 0.9). When the power transmission in the power system exceeds the line transmission capacity limit, the line will be overloaded, which may cause the line to heat up, increase losses, and even lead to line failures.

[0048] ② Node voltage constraint: The voltage of each node in the power grid needs to be maintained within a certain allowable fluctuation range to ensure the normal operation of power equipment. Generally speaking, for high-voltage power grids of 110 kV and above, the allowable fluctuation range of node voltage is ±10% of the rated voltage; for medium- and low-voltage power grids of 35 kV and below, the allowable fluctuation range of node voltage is ±7% of the rated voltage. For example, in a power grid with a rated voltage of 110 kV, the node voltage should be maintained between 99 kV and 121 kV. If the node voltage exceeds this range, it will affect the performance of power equipment, such as increasing the iron loss of transformers and reducing the efficiency of motors. In severe cases, it may cause equipment damage. In the power simulation production simulation model, it is necessary to monitor the voltage of each node in real time and maintain the node voltage within the allowable range by adjusting the power output of power sources, switching reactive power compensation equipment, etc.

[0049] (2) Energy storage system parameters ① Charge and discharge efficiency: The charge and discharge efficiency of the energy storage system can refer to the actual equipment parameters or industry standards. For example, in a common lithium-ion battery energy storage system, its charging efficiency is generally between 90% - 95%, and the discharge efficiency is between 85% - 90%. In actual calculations, assume that the charging efficiency of the energy storage system is , and the discharge efficiency is . When the energy storage system is charging, the relationship between the input power and the stored power is ; when the energy storage system is discharging, the relationship between the output power and the stored power is . In the power simulation production simulation model, considering the charge and discharge efficiency can more accurately simulate the actual operation of the energy storage system and calculate its regulation ability for the power supply and demand balance of the power grid.

[0050] ② Charge and discharge power limit: The charge and discharge power limit is determined according to the technical specifications of the energy storage equipment. Different types and capacities of energy storage equipment have different charge and discharge power limits. For example, for a certain model of energy storage battery pack, its maximum charging power is , and the maximum discharge power is . In the power simulation production simulation model, when the energy storage system is charging, the charging power cannot exceed ; when the energy storage system is discharging, the discharge power cannot exceed . This limit is very important when simulating the regulation effect of the energy storage system on the power grid. Because if the charge and discharge power limit is not considered, it may lead to a large deviation between the simulation results and the actual situation, and it is impossible to accurately evaluate the performance of the energy storage system in the power grid.

[0051] Based on the annual power supply-demand matching situation, by judging hour by hour whether the power supply is insufficient (the value of the power shortage flag) and accumulating the number of power shortage days, it is possible to accurately quantify the duration of insufficient power supply of the power grid throughout the year, providing an accurate and detailed basis for evaluating power supply reliability, and making the judgment of power shortage situations more scientific and accurate.

[0052] S3. Determine the new energy configuration of the power grid according to the output first installed capacity and the first capacity.

[0053] In summary, in the embodiment of the present application, by calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data of the weak power grid, it is possible to closely combine with the actual power condition of the weak power grid. This enables the planning of new energy and the energy storage system to match the actual needs of the power grid from the very beginning, avoiding problems of over-planning or under-planning. By inputting the first installed capacity and the first capacity into the preset power simulation production simulation model, the number of power shortage days is obtained. During the iteration process, the number of power shortage days is used as an important evaluation index to continuously adjust the first installed capacity and the first capacity. In this way, the risk of power shortage in the power grid can be effectively reduced, ensuring that the power demand can be met under various working conditions and improving the power supply reliability of the power grid. At the same time, the total investment cost is incorporated into the consideration factors of iterative optimization. By continuously adjusting the first installed capacity and the first capacity, the total investment cost can be minimized on the premise of meeting the power supply reliability. In summary, through the dynamic optimization of the new energy installed capacity and the energy storage capacity configuration, the present application can effectively enhance the power supply stability of the power grid in the scenario of new energy output fluctuations, improve the spatio-temporal matching efficiency of wind-solar resources and load demands, significantly improve the new energy consumption capacity, and strengthen the guarantee of power supply reliability.

[0054] Embodiment 2 As Figure 3 shown, based on the above method item embodiment, a corresponding system item embodiment is provided; An embodiment of the present invention provides a power grid new energy configuration system, including: an initial calculation module 11, an iterative judgment module 12, and a result output module 13; Further, in some embodiments of the present application, the initial calculation module 11 is configured to obtain the power consumption data of the power grid, calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data of the power grid, and then output the initial installed capacity of new energy as the first installed capacity and the initial capacity of the energy storage system as the first capacity; the iterative judgment module 12 is configured to iteratively update the first installed capacity and the first capacity according to a preset power simulation production simulation model until both the power shortage days of the current iteration and the total investment cost of the current iteration meet the preset requirements, and output the first installed capacity and the first capacity of the current iteration; wherein, the power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is calculated based on the power consumption data, the first installed capacity of the current iteration, and the first capacity of the current iteration; each time of iteration, the first installed capacity and the first capacity are updated according to the power shortage days of the current iteration and the total investment cost of the current iteration; the result output module 13 is configured to determine the new energy configuration of the power grid according to the output first installed capacity and first capacity.

[0055] Further, in some embodiments of the present application, the initial calculation module 11 includes a first calculation unit; The power consumption data of the power grid includes the annual total power consumption of the power grid, the photovoltaic proportion coefficient, the annual utilization hours of photovoltaic power, and the annual utilization hours of wind power; the initial installed capacity of new energy includes the photovoltaic installed capacity and the wind power installed capacity; The first calculation unit is configured to calculate the initial installed capacity of new energy according to the following formula: Wherein, is the photovoltaic installed capacity, is the wind power installed capacity, is the annual total power consumption of the power grid, is the photovoltaic proportion coefficient, is the annual utilization hours of photovoltaic power, is the annual utilization hours of wind power.

[0056] Further, in some embodiments of the present application, the initial calculation module 11 further includes a second calculation unit; The power consumption data of the power grid includes the maximum load of the power grid, the power shortage duration during the lightless period at night on the day with the maximum load, and the energy storage discharge duration; The second calculation unit is used to calculate the initial capacity of the energy storage system according to the following formula: Wherein, is the initial capacity of the energy storage system, is the maximum load of the power grid, is the power outage duration during the dark period in the evening on the peak load day. is the energy storage discharge duration.

[0057] Further, in some embodiments of the present application, the iterative judgment module 12 includes a cost calculation unit; The power quantity data includes the unit construction cost of photovoltaic power, the unit construction cost of wind power, and the unit construction cost of energy storage. The cost calculation unit is used to calculate the total investment cost according to the following formula: Where, is the total investment cost, and is the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic power, is the unit construction cost of wind power, is the unit construction cost of energy storage.

[0058] Further, in some embodiments of the present application, the iterative judgment module 12 further includes a power outage days calculation unit; The power outage days calculation unit is used to input the first installed capacity and the first capacity of the current iteration into a preset power simulation production simulation model to obtain the annual power supply and demand matching situation, and then calculate the power outage days based on the annual power supply and demand matching situation.

[0059] Further, in some embodiments of the present application, calculating the power outage days based on the annual power supply and demand matching situation includes: The specific calculation formula for calculating the power outage days based on the annual power supply and demand matching situation is as follows: Where, is the annual power outage days, is the power outage flag for the i-th hour. If the power supply is insufficient in this hour, then = 1, otherwise = 0.

[0060] In summary, in the embodiments of the present application, by calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power quantity data of a weak power grid, the actual power condition of the weak power grid can be closely combined. This enables the planning of new energy and the energy storage system to match the actual demands of the power grid from the very beginning, avoiding problems of over-planning or under-planning. By inputting the first installed capacity and the first capacity into a preset power simulation production simulation model, the number of power shortage days is obtained. During the iterative process, the number of power shortage days is used as an important evaluation index to continuously adjust the first installed capacity and the first capacity. In this way, the risk of power shortage in the power grid can be effectively reduced, ensuring that the power demand can be met under various working conditions and improving the power supply reliability of the power grid. At the same time, the total investment cost is incorporated into the considerations of iterative optimization. By continuously adjusting the first installed capacity and the first capacity, the total investment cost can be minimized as much as possible on the premise of meeting the power supply reliability. In summary, through the dynamic optimization of the configuration of the new energy installed capacity and the energy storage capacity, the present application can effectively enhance the power supply stability of the power grid in the scenario of new energy output fluctuations, improve the spatio-temporal matching efficiency of wind and light resources and load demands, significantly improve the new energy consumption capacity, and strengthen the guarantee of power supply reliability.

[0061] It can be understood that the above device item embodiments correspond to the method item embodiments of the present invention, and can implement the power grid new energy configuration method provided by any one of the above method item embodiments of the present invention.

[0062] It should be noted that the above-described device embodiments are merely illustrative. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative work.

[0063] Embodiment III Based on the above embodiments of the power grid new energy configuration method, another embodiment of the present invention provides a terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the power grid new energy configuration method of any embodiment of the present invention is implemented.

[0064] Exemplarily, in this embodiment, the computer program can be divided into one or more modules. The one or more modules are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the terminal device.

[0065] The terminal device may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0066] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device, and connects various parts of the entire terminal device through various interfaces and lines.

[0067] Embodiment 4 Based on the above method embodiment, another embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the power grid new energy configuration method described in any one of the above method embodiments of the present invention.

[0068] Among them, if the modules / units integrated in the device / terminal device are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above method embodiments of the present invention, it can also be completed by instructing related hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, computer memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0069] The above are the preferred embodiments of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A method for configuring new energy in a power grid, characterized in that, Including: Obtain the power consumption data of the power grid, calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data, and then output the initial installed capacity of new energy as the first installed capacity and the initial capacity of the energy storage system as the first capacity; According to a preset power simulation production simulation model, iteratively update the first installed capacity and the first capacity until both the power shortage days of the current iteration and the total investment cost of the current iteration meet the preset requirements, and output the first installed capacity and the first capacity of the current iteration; wherein, the power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is calculated based on the power consumption data, the first installed capacity of the current iteration, and the first capacity of the current iteration; during each iteration, update the first installed capacity and the first capacity according to the power shortage days of the current iteration and the total investment cost of the current iteration; Determine the new energy configuration of the power grid according to the output first installed capacity and first capacity.

2. The method for configuring new energy in a power grid according to claim 1, wherein The calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data includes: The power consumption data includes the annual total power consumption of the power grid, the photovoltaic proportion coefficient, the annual utilization hours of photovoltaic, and the annual utilization hours of wind power; the initial installed capacity of new energy includes the installed capacity of photovoltaic and the installed capacity of wind power; Calculate the initial installed capacity of new energy according to the following formula: Among them, is the photovoltaic installed capacity, is the wind power installed capacity, is the total annual electricity consumption of the power grid, is the photovoltaic proportion coefficient, is the annual utilization hours of photovoltaic, is the annual utilization hours of wind power.

3. A method for configuring new energy in a power grid according to claim 2, characterized in that, The calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data includes: The power consumption data includes the maximum load of the power grid, the power shortage duration during the non-light period at night on the day with the maximum load, and the discharge duration of the energy storage; Calculate the initial capacity of the energy storage system according to the following formula: Among them, is the initial capacity of the energy storage system, is the maximum load of the power grid, is the power shortage duration during the period without light in the evening on the day with the maximum load, is the energy storage discharge duration.

4. The method for configuring new energy in a power grid according to claim 3, wherein The total investment cost is calculated based on the power consumption data, the first installed capacity of the current iteration, and the first capacity of the current iteration, including: The power consumption data includes the unit construction cost of photovoltaic, the unit construction cost of wind power, and the unit construction cost of energy storage; Calculate the total investment cost according to the following formula: Among them, is the total investment cost, and is the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic, is the unit construction cost of wind power, is the unit construction cost of energy storage.

5. The method for configuring new energy in a power grid according to claim 1, characterized in that, The power shortage days are obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model, including: Input the first installed capacity and the first capacity of the current iteration into the preset power simulation production simulation model to obtain the annual power supply and demand matching situation, and then calculate the power shortage days based on the annual power supply and demand matching situation.

6. The method for configuring new energy in a power grid according to claim 5, characterized in that The calculating the power shortage days based on the annual power supply and demand matching situation includes: The specific calculation formula for calculating the power shortage days based on the annual power supply and demand matching situation is as follows: Among them, is the number of power outage days throughout the year, is the power outage flag for the i-th hour. If the power supply is insufficient in that hour, then = 1, otherwise = 0.

7. A power grid new energy configuration system, characterized in that Including: An initial calculation module, an iterative judgment module, and a result output module; The initial calculation module is used to obtain the power consumption data of the power grid, calculate the initial installed capacity of new energy and the initial capacity of the energy storage system based on the power consumption data of the power grid, and then output the initial installed capacity of new energy as the first installed capacity and the initial capacity of the energy storage system as the first capacity; The iterative judgment module is configured to iteratively update the first installed capacity and the first capacity according to a preset power simulation production model until the number of power shortage days and the total investment cost of the current iteration both meet preset requirements, and output the first installed capacity and the first capacity of the current iteration; wherein the number of power shortage days is obtained by inputting the first installed capacity and the first capacity of the current iteration into the preset power simulation production model, and the total investment cost is calculated based on the electricity data, the first installed capacity of the current iteration, and the first capacity of the current iteration; during each iteration, the first installed capacity and the first capacity are updated based on the number of power shortage days and the total investment cost of the current iteration; The result output module is used to determine the new energy configuration of the power grid according to the output first installed capacity and first capacity.

8. A new energy configuration system for a power grid as described in claim 7, characterized in that, The initial calculation module includes a first calculation unit; The electricity data of the power grid includes the total annual electricity consumption of the power grid, the photovoltaic power share coefficient, the annual photovoltaic power utilization hours and the annual wind power utilization hours; the initial installed capacity of new energy includes the photovoltaic power installed capacity and the wind power installed capacity; The first calculation unit is used to calculate the initial installed capacity of the new energy according to the following formula: Among them, is the photovoltaic installed capacity, is the wind power installed capacity, is the total annual electricity consumption of the power grid, is the photovoltaic proportion coefficient, is the annual utilization hours of photovoltaic, is the annual utilization hours of wind power.

9. A power grid new energy configuration system as claimed in claim 8, characterized in that, The initial calculation module further includes a second calculation unit; The power data of the power grid includes the maximum load of the power grid, the duration of power shortage during the dark period in the evening on the maximum load day, and the duration of energy storage discharge; The second calculation unit is configured to calculate the initial capacity of the energy storage system according to the following formula: Among them, is the initial capacity of the energy storage system, is the maximum load of the power grid, is the power shortage duration during the period without light in the evening on the day of the maximum load, is the energy storage discharge duration.

10. A power grid new energy configuration system as described in claim 9, characterized in that, The iterative judgment module includes a cost calculation unit; The electricity data includes the unit cost of photovoltaic power, the unit cost of wind power and the unit cost of energy storage; The cost calculation unit is used to calculate the total investment cost according to the following formula: Among them, is the total investment cost, and is the first installed capacity of the current iteration, is the first capacity of the current iteration, is the unit construction cost of photovoltaic, is the unit construction cost of wind power, is the unit construction cost of energy storage.

11. A power grid new energy configuration system according to claim 7, characterized in that, The iterative judgment module also includes a power shortage days calculation unit; The power shortage days calculation unit is used to input the first installed capacity and the first capacity of the current iteration into a preset power simulation production model to obtain the power supply and demand matching situation throughout the year, and then calculate the power shortage days based on the power supply and demand matching situation throughout the year.

12. A power grid new energy configuration system according to claim 11, characterized in that, The number of power shortage days calculated based on the power supply and demand matching situation throughout the year includes: The power shortage days are calculated based on the power supply and demand matching situation throughout the year. The specific calculation formula is as follows: Among them, is the number of power shortage days in a year, is the power shortage flag for the i-th hour. If the power supply is insufficient in this hour, then = 1, otherwise = 0.

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