A method and system for configuring new energy sources in a power grid

Abstract

This invention discloses a method and system for configuring renewable energy in a power grid, belonging to the field of power systems. The method comprises the following steps: first, obtaining grid power data, calculating the initial installed capacity of renewable energy and the initial capacity of the energy storage system; then, based on a preset power simulation production model, iteratively updating the installed capacity and capacity until both the number of power shortage days and the total investment cost meet preset requirements; then, outputting the current results and determining the renewable energy configuration for the power grid. Therefore, by implementing this invention, it is possible to solve the problems of insufficient power supply reliability and absorption capacity of renewable energy configurations in the prior art.

Description

Technical Field

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

[0002] In modern power systems, some regions have superior new energy resources but weak power grid structures. Due to the weather dependence of photovoltaic power, the intermittent nature of wind power, and the anti-peak characteristics of wind power, the output of new energy is misaligned with the temporal and spatial distribution of load demand, resulting in difficulties in absorption and significant pressure on the frequency stability, voltage regulation and supply and demand balance of the power grid.

[0003] In existing technologies, new energy configuration strategies for weak power grids mostly adopt a single technology-led or simply superimposed energy storage approach. Due to the lack of a quantitative evaluation system for power supply reliability, economic optimization is difficult to take into account power supply reliability. At the same time, the model lacks dynamic adaptability, so there are systemic defects. It is unable to meet the flexible regulation needs under complex operating scenarios, and it is difficult to solve the problems of power supply security in weak power grids and efficient absorption 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 absorption capacity of 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 sources in a power grid, including:

[0006] Obtaining power data of the power grid, and calculating an initial installed capacity scale of new energy and an initial capacity of the energy storage system based on the power data, and then outputting the initial installed capacity scale of new energy as a first installed capacity scale and the initial capacity of the energy storage system as a first capacity;

[0007] Iteratively updating 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 outputting 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, updating the first installed capacity and the first capacity according to the number of power shortage days and the total investment cost of the current iteration;

[0008] Determine the new energy configuration of the power grid based on the first installed capacity and first output capacity.

[0009] By calculating the initial installed capacity of new energy sources and the initial capacity of the energy storage system based on the electricity data of a weak power grid, the embodiments of the present application can closely integrate the actual power conditions of the weak power grid. This ensures that the planning of new energy sources and energy storage systems is aligned with the actual needs of the power grid from the outset, avoiding the problems of over-planning or under-planning. By inputting the first installed capacity and the first capacity into a preset power simulation production model, the number of power shortage days is obtained. During the iterative process, the first installed capacity and the first capacity are continuously adjusted using the number of power shortage days as an important evaluation indicator. In this way, the risk of power shortages in the power grid can be effectively reduced, ensuring that power demand can be met under various operating conditions, and improving the power supply reliability of the power grid. At the same time, the total investment cost is taken into consideration in the iterative optimization. By continuously adjusting the first installed capacity and the first capacity, the total investment cost is minimized while ensuring power supply reliability. In summary, by dynamically optimizing the configuration of new energy installed capacity and energy storage capacity, the present application can effectively enhance the power supply stability of the power grid in scenarios where new energy output fluctuates, improve the spatiotemporal matching efficiency of wind and solar resources with load demand, significantly improve the new energy absorption capacity, and strengthen the power supply reliability guarantee.

[0010] As a preferred example of the first aspect, the calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the electricity data includes:

[0011] The electricity data includes the total annual electricity consumption of the 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;

[0012] The initial installed capacity of new energy is calculated according to the following formula:

[0013]

[0014] in, is the photovoltaic installed capacity, is the installed capacity of wind power, is the total annual electricity consumption of the power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

[0015] In this preferred example, the initial installed capacity of new energy is calculated by using electricity data such as the total annual electricity consumption of the power grid, the photovoltaic share coefficient, the annual utilization hours of photovoltaic and wind power, etc. This application fully combines the actual electricity consumption characteristics of the power grid with the characteristics of new energy power generation, so that the determination of the installed capacity of photovoltaic and wind power is more in line with the actual needs of the power grid, avoiding the disconnection between installed capacity planning and actual electricity consumption, and ensuring a better match between new energy power generation and power grid power load.

[0016] As a preferred example of the first aspect, the calculating the initial installed capacity of new energy and the initial capacity of the energy storage system based on the electricity data includes:

[0017] The power data includes the maximum load of the power grid, the duration of power shortage during the dark period at night on the maximum load day, and the duration of energy storage discharge;

[0018] The initial capacity of the energy storage system is calculated according to the following formula:

[0019]

[0020] 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.

[0021] In this preferred example, the energy storage capacity is calculated based on the maximum load of the power grid. This application can closely focus on the peak power demand of the power grid and ensure that the energy storage system can effectively provide power support when the power grid load is peak. In addition, this application calculates the energy storage capacity based on the power shortage duration during the dark period in the evening on the maximum load day, and specifically configures energy storage for the power shortage problem of the power grid during specific dark periods, effectively responding to the power supply gap caused by the inability of new energy to generate electricity due to lack of sunlight, ensuring the continuous supply of electricity during this special period, and improving the reliability and stability of the power supply of the power grid.

[0022] As a preferred example of the first aspect, 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, including:

[0023] 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;

[0024] The total investment cost is calculated according to the following formula:

[0025]

[0026] 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

[0027] In this preferred example, the unit construction costs of photovoltaic, wind power, and energy storage are included in the total investment cost calculation, which comprehensively covers the key investment factors of grid new energy and energy storage projects and avoids the one-sidedness of single cost considerations.

[0028] 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 model, including:

[0029] The first installed capacity and the first capacity of the current iteration are input into the preset power simulation production model to obtain the power supply and demand matching situation throughout the year, and then the number of power shortage days is calculated based on the power supply and demand matching situation throughout the year.

[0030] In this preferred example, the installed capacity and capacity parameters are input into the power simulation production model and the number of power shortage days is calculated to achieve a quantitative assessment of the power supply reliability of the power grid and dynamic optimization of the configuration plan, thereby improving the ability to absorb new energy and balance power supply and demand under complex working conditions.

[0031] As a preferred example of the first aspect, the number of power shortage days calculated based on the power supply and demand matching situation throughout the year includes:

[0032] 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:

[0033]

[0034] in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

[0035] In this preferred example, based on the electricity supply and demand matching situation throughout the year, by judging whether the electricity supply is insufficient (the power shortage flag value) hour by hour and accumulating the number of power shortage days, the duration of the power grid's power supply shortage throughout the year can be accurately quantified, providing an accurate and detailed basis for evaluating power supply reliability, making the judgment of power shortage more scientific and accurate.

[0036] In a second aspect, an embodiment of the present application further provides a power grid new energy configuration system, comprising: an initial calculation module, an iterative judgment module, and a result output module;

[0037] The initial calculation module is configured to obtain power data of the power grid, and calculate an initial installed capacity scale of the new energy source and an initial capacity of the energy storage system based on the power data of the power grid, and then output the initial installed capacity scale of the new energy source as a first installed capacity scale and the initial capacity of the energy storage system as a first capacity;

[0038] 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;

[0039] 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.

[0040] As a preferred example of the second aspect, the initial calculation module includes a first calculation unit;

[0041] 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;

[0042] The first calculation unit is used to calculate the initial installed capacity of the new energy according to the following formula:

[0043]

[0044] 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.

[0045] As a preferred example of the second aspect, the initial calculation module further includes a second calculation unit;

[0046] 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;

[0047] The second calculation unit is configured to calculate the initial capacity of the energy storage system according to the following formula:

[0048]

[0049] 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.

[0050] As a preferred example of the second aspect, the iterative judgment module includes a cost calculation unit;

[0051] 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;

[0052] The cost calculation unit is used to calculate the total investment cost according to the following formula:

[0053]

[0054] 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

[0055] As a preferred example of the second aspect, the iterative judgment module further includes a power shortage days calculation unit;

[0056] 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.

[0057] As a preferred example of the second aspect, the number of power shortage days calculated based on the power supply and demand matching situation throughout the year includes:

[0058] 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:

[0059]

[0060] in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

[0061] In summary, the embodiments of the present application calculate the initial installed capacity of new energy sources and the initial capacity of the energy storage system based on power data from a weak power grid, closely integrating with the actual power conditions of the weak power grid. This ensures that the planning of new energy sources and energy storage systems is aligned with the actual needs of the power grid from the outset, avoiding the problems of over-planning or under-planning. By inputting the first installed capacity and first capacity into a preset power simulation production model, the number of power shortage days is obtained. During the iterative process, the first installed capacity and first capacity are continuously adjusted using the number of power shortage days as an important evaluation indicator. This approach effectively reduces the risk of power shortages in the power grid, ensures that power demand can be met under various operating conditions, and improves the power supply reliability of the power grid. Furthermore, the total investment cost is factored into the iterative optimization process. By continuously adjusting the first installed capacity and first capacity, the total investment cost is minimized while ensuring power supply reliability. Furthermore, the total investment cost is also taken into account during the optimization process, ensuring that the configuration of new energy sources in the power grid can both ensure power supply reliability and achieve economic optimization. Through continuous optimization and adjustment, the investment cost of the new energy and energy storage systems is optimally controlled while ensuring power supply stability, achieving a cost-effective balance. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solution of the present application, the following is a brief introduction to the drawings required for use in the implementation. Obviously, the drawings described below are only some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0063] Figure 1 This is a flow chart of a method for configuring new energy sources for a power grid provided in some embodiments of the present application;

[0064] Figure 2 This is a logical diagram of a method for configuring new energy sources for a power grid provided in some embodiments of the present application;

[0065] Figure 3 This is a structural diagram of a power grid new energy configuration system provided in some embodiments of the present application. DETAILED DESCRIPTION

[0066] To make the objectives, technical solutions, and advantages of this application more clear, 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 only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative efforts are within the scope of protection of this application.

[0067] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art 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-mentioned figure descriptions are intended to cover non-exclusive inclusions.

[0068] In the description of the embodiments of this application, the technical terms "first" and "second" are used only to distinguish different objects and should not be understood to indicate or imply relative importance or implicitly specify the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise clearly and specifically defined.

[0069] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute an independent or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0070] In the description of the embodiments of this application, the term "and / or" is simply a description of the association relationship between associated objects, indicating that three relationships can exist. For example, A and / or B can represent the following three situations: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this document generally indicates that the associated objects are in an "or" relationship.

[0071] In the description of the embodiments of the present application, the term "multiple" refers to more than two (including two). Similarly, "multiple groups" refers to more than two groups (including two groups), and "multiple pieces" refers to more than two pieces (including two pieces).

[0072] In the description of the embodiments of the present application, unless otherwise expressly specified or limited, technical terms such as "installed," "connected," "connected," and "fixed" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integration; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; internal connections between two components or interactions between two components. Those skilled in the art can understand the specific meanings of the above terms in the embodiments of the present application based on specific circumstances.

[0073] Some regions possess superior wind and solar energy resources and offer potential for large-scale development. However, these regions are vast and sparsely populated, with energy and electricity demand significantly lower than that of load centers. Furthermore, the grid structure is weak, and the construction of conventional power sources is constrained by natural conditions and investment costs, leading to increasingly prominent conflicts over power supply security. Furthermore, renewable energy generation has inherent characteristics. Photovoltaic output is significantly affected by weather fluctuations, with midday peaks, sudden drops at dawn and dusk, and irregular fluctuations. Wind power output is more intermittent and exhibits anti-peak characteristics, with peak and trough periods being highly random, and nighttime output generally higher than daytime output, significantly misaligned with load demand in terms of time and space. This uncertainty makes it difficult to absorb renewable energy, placing significant pressure on grid frequency stability, voltage regulation, and the balance of power supply and demand.

[0074] To address the above issues, the following will provide a clear and complete description of the technical solutions in the embodiments of this application in conjunction with the accompanying drawings. Obviously, the described embodiments are only a portion of the embodiments of this application, not all of them. All other embodiments derived by persons of ordinary skill in the art based on the embodiments of this application without creative effort fall within the scope of protection of this application.

[0075] Example 1

[0076] See also Figure 1 and Figure 2 To solve the problems of insufficient power supply reliability and absorption capacity of new energy configuration in the existing technology, an embodiment of the present invention provides a method for configuring new energy in a power grid, including:

[0077] S1. Obtaining power data of the power grid, and calculating an initial installed capacity scale of new energy and an initial capacity of the energy storage system based on the power data, and then outputting the initial installed capacity scale of new energy as a first installed capacity scale and the initial capacity of the energy storage system as a first capacity;

[0078] Furthermore, in some embodiments of the present application, the calculating of the initial installed capacity of new energy and the initial capacity of the energy storage system based on the electricity data includes:

[0079] The electricity data includes the total annual electricity consumption of the 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;

[0080] The initial installed capacity of new energy is calculated according to the following formula:

[0081]

[0082] in, is the photovoltaic installed capacity, is the installed capacity of wind power, is the total annual electricity consumption of the power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

[0083] Specifically, the annual photovoltaic utilization hours and the annual wind power utilization hours can be obtained in the following ways:

[0084] Historical meteorological data, including years of information on sunshine and wind speed, forms the basis for calculating utilization hours. This data is collected from at least the past 5-10 years of local meteorological data, including key data such as daily sunshine duration, sunshine intensity, and wind speed. This data is then input into professional energy simulation software, such as PVsyst (for photovoltaic system simulation) and WindPRO (for wind power system simulation). PVsyst simulates the PV system's power generation and total annual power generation under different meteorological conditions, based on parameters such as PV module type, mounting angle, and local latitude. This data is then used to determine the annual utilization hours (ts) for photovoltaic power generation. For wind power generation, WindPRO combines information such as turbine technical parameters, hub height, and wind shear index to simulate wind turbine power generation at different wind speeds. This calculation calculates the total annual power generation and, therefore, the annual utilization hours (tw).

[0085] In this way, by using electricity data such as the total annual electricity consumption of the power grid, the photovoltaic share coefficient, the annual utilization hours of photovoltaic and wind power, etc. to calculate the initial installed capacity of new energy, this application fully combines the actual electricity consumption characteristics of the power grid with the characteristics of new energy power generation, so that the determination of the installed capacity of photovoltaic and wind power is more in line with the actual needs of the power grid, avoiding the disconnection between installed capacity planning and actual electricity consumption, and ensuring a better match between new energy power generation and power grid power load.

[0086] Furthermore, in some embodiments of the present application, the calculating of the initial installed capacity of new energy and the initial capacity of the energy storage system based on the electricity data includes:

[0087] The power data includes the maximum load of the power grid, the duration of power shortage during the dark period at night on the maximum load day, and the duration of energy storage discharge;

[0088] The initial capacity of the energy storage system is calculated according to the following formula:

[0089]

[0090] 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.

[0091] Specifically, the duration of power shortage during the dark period in the evening on the maximum load day can be obtained in the following way:

[0092] Collect at least three to five years of historical load data for the local power grid, including load power values ​​for each time period of each day. Also, obtain renewable energy (photovoltaic and wind) output data for the corresponding time periods. From this data, select the data for the day with the highest grid load each year. For the day with the highest load, determine the evening dark period. Since photovoltaic output is zero during this dark period, focus on analyzing the difference between wind power output and load demand during this period. If wind power output is less than the load demand, a power gap exists. Time is counted from the moment wind power output falls below the load demand until wind power output meets the load demand or another power source fills the gap. The cumulative total of these power gap periods provides the duration of the power gap (T) during the evening dark period on the day with the highest load. For example, on the peak load day of a certain year, there is no sunlight from 20:00 to 23:00 in the evening. From 20:00 to 21:30, the wind power output 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 wind power output is again less than the load demand. Then Tpower shortage = 1.5 + 1 = 2.5 hours.

[0093] In this way, by calculating the energy storage capacity based on the maximum load of the power grid, this application can closely focus on the peak power demand of the power grid and ensure that the energy storage system can effectively provide power support when the power grid load is peak. In addition, this application calculates the energy storage capacity based on the power shortage duration during the dark period in the evening on the maximum load day, and specifically configures energy storage for the power shortage problem of the power grid during specific dark periods, effectively responding to the power supply gap caused by the inability of new energy to generate electricity due to lack of sunlight, ensuring the continuous supply of electricity during this special period, and improving the reliability and stability of the power supply of the power grid.

[0094] S2. 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 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; in 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;

[0095] Furthermore, in some embodiments of the present application, the calculating of the total investment cost based on the electricity data includes:

[0096] 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, and includes:

[0097] The total investment cost is calculated according to the following formula:

[0098]

[0099] 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

[0100] Specifically, the final investment cost can be calculated as follows:

[0101] The final investment cost includes the sum of the total investment cost, the present value of operation and maintenance costs, and the present value of equipment depreciation costs. The present value of operation and maintenance costs and the present value of equipment depreciation costs can be calculated as follows:

[0102] ① Operation and maintenance cost calculation method: Operation and maintenance costs include daily maintenance costs, inspection costs, labor costs, etc. For photovoltaic power stations, operation and maintenance costs can be estimated based on 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 that the photovoltaic installed capacity is , then the annual operation and maintenance cost of the photovoltaic power station is RMB. For the wind farm, the operation and maintenance cost is about RMB 50-80 / kW per year. If the installed capacity of wind power is , then the annual operation and maintenance cost of the wind farm is RMB. For the energy storage system, the operation and maintenance cost is relatively high, about 80-120 yuan / kWh per year. Assuming the energy storage capacity is , then the annual operation and maintenance cost of the energy storage system is RMB. During the economic evaluation period of the project (e.g. 20 years), the annual operation and maintenance costs are cumulatively discounted, taking into account the time value of money. The discount rate can refer to the industry benchmark rate of return or the local market interest rate. Assuming the discount rate is The project economic evaluation cycle is years, then the present value of operation and maintenance costs.

[0103] ② Equipment depreciation cost calculation method: Equipment depreciation cost is usually calculated using the straight-line depreciation method. For photovoltaic modules, their service life is generally about 25 years. Assuming that the initial investment cost of photovoltaic modules is (million yuan), then the annual depreciation cost The calculation method is as follows:

[0104]

[0105] For fans, the service life is generally about 20 years. If the initial investment cost of the fan is (million yuan), then the annual depreciation cost The calculation method is as follows:

[0106]

[0107] For energy storage systems, the service life is generally 10-15 years. Assuming the initial investment cost of the energy storage system is (million yuan), then the annual depreciation cost The calculation method is as follows:

[0108]

[0109] Similarly, during the project economic evaluation period, the annual equipment depreciation cost is cumulatively discounted and the present value of the equipment depreciation cost is calculated. The calculation method is as follows:

[0110]

[0111] In this way, the unit construction costs of photovoltaic, wind power and energy storage are included in the total investment cost calculation, which comprehensively covers the key investment factors of new energy and energy storage projects in the power grid and avoids the one-sidedness of single cost considerations.

[0112] Furthermore, 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 model, including:

[0113] The first installed capacity and the first capacity of the current iteration are input into the preset power simulation production model to obtain the power supply and demand matching situation throughout the year, and then the number of power shortage days is calculated based on the power supply and demand matching situation throughout the year.

[0114] In this way, by inputting the installed capacity and capacity parameters into the power simulation production model and calculating the number of days of power shortage, we can achieve a quantitative assessment of the power supply reliability of the power grid and dynamic optimization of the configuration plan, thereby improving the ability to absorb new energy and balance power supply and demand under complex working conditions.

[0115] Furthermore, in some embodiments of the present application, the number of power shortage days calculated based on the power supply and demand matching situation throughout the year includes:

[0116] 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:

[0117]

[0118] in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

[0119] Specifically, the preset power production simulation model includes grid operation constraints and energy storage system parameters, which can be implemented in the following ways:

[0120] (1) Power grid operation constraints

[0121] ① Line transmission capacity limit: Line transmission capacity depends on line parameters, such as conductor type, cross-sectional area, length, line reactance, resistance, etc., as well as relevant safety standards. Based on 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 conductor, its thermal stability limit current is It can be calculated by the following formula:

[0122]

[0123] in, is the maximum heating energy allowed for the conductor (related to the material properties of the conductor), is the wire resistance, The permissible heating time. In actual operation, allowing for a certain safety margin, the actual transmission capacity of a line is typically the thermal stability limit current multiplied by a safety factor less than 1 (e.g., 0.8-0.9). When power transmission in a power system exceeds the line's transmission capacity limit, the line will be overloaded, potentially causing heating, increased losses, and even line failure.

[0124] ② Node voltage constraints: The voltage at each node in the power grid must be maintained within a certain allowable fluctuation range to ensure the normal operation of power equipment. Generally speaking, for high-voltage power grids of 110kV and above, the allowable node voltage fluctuation range is ±10% of the rated voltage; for medium- and low-voltage power grids of 35kV and below, the allowable node voltage fluctuation range is ±7% of the rated voltage. For example, in a power grid with a rated voltage of 110kV, the node voltage should be maintained between 99kV and 121kV. If the node voltage exceeds this range, the performance of power equipment will be affected, such as increasing transformer iron losses and reducing motor efficiency. In severe cases, it may even cause equipment damage. In the power production simulation model, it is necessary to monitor each node voltage in real time and maintain the node voltage within the allowable range by adjusting the power output and switching reactive power compensation equipment.

[0125] (2) Energy storage system parameters

[0126] 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, the common lithium-ion battery energy storage system has a charge efficiency of generally between 90% and 95%, and a discharge efficiency of between 85% and 90%. In actual calculations, it is assumed that the charge efficiency of the energy storage system is , the discharge efficiency is When the energy storage system is charging, the input power and stored electricity The relationship between ;When the energy storage system discharges, the amount of power output and stored electricity The relationship between In the power production simulation model, considering the charging and discharging efficiency can more accurately simulate the actual operation of the energy storage system and calculate its ability to regulate the power supply and demand balance of the power grid.

[0127] ② Charge and discharge power limit: The charge and discharge power limit is determined according to the technical specifications of the energy storage device. Different types and capacities of energy storage devices have different charge and discharge power limits. For example, the maximum charge power of a certain type of energy storage battery pack is , the maximum discharge power is In the power 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 limitation is very important when simulating the regulation of energy storage systems on the power grid. If the charge and discharge power limits are not taken into account, the simulation results may deviate significantly from the actual situation, making it impossible to accurately evaluate the performance of the energy storage system in the power grid.

[0128] In this way, based on the electricity supply and demand matching situation throughout the year, by judging whether the power supply is insufficient (the power shortage flag value) on an hourly basis and accumulating the number of power shortage days, the duration of the power grid's power supply shortage throughout the year can be accurately quantified, providing an accurate and detailed basis for evaluating power supply reliability, making the judgment of power shortage more scientific and accurate.

[0129] S3. Determine the new energy configuration of the power grid based on the output first installed capacity and first installed capacity.

[0130] In summary, the embodiments of the present application calculate the initial installed capacity of renewable energy and the initial capacity of the energy storage system based on the electricity data of a weak power grid, closely integrating the actual power conditions of the weak power grid. This ensures that the planning of renewable energy and energy storage systems is aligned with the actual needs of the power grid from the outset, avoiding the problems of over-planning or under-planning. By inputting the first installed capacity and first capacity into a preset power simulation production model, the number of power shortage days is obtained. During the iterative process, the first installed capacity and first capacity are continuously adjusted using the number of power shortage days as an important evaluation indicator. In this way, the risk of power shortages in the power grid can be effectively reduced, ensuring that power demand can be met under various operating conditions, and improving the power supply reliability of the power grid. At the same time, the total investment cost is taken into consideration during the iterative optimization. By continuously adjusting the first installed capacity and first capacity, the total investment cost is minimized while ensuring power supply reliability. In summary, by dynamically optimizing the configuration of renewable energy installed capacity and energy storage capacity, the present application can effectively enhance the power supply stability of the power grid in scenarios where renewable energy output fluctuates, improve the spatiotemporal matching efficiency of wind and solar resources with load demand, significantly improve the renewable energy absorption capacity, and strengthen the power supply reliability guarantee.

[0131] Example 2

[0132] like Figure 3 As shown, based on the above method embodiment, a corresponding system embodiment is provided;

[0133] An embodiment of the present invention provides a new energy configuration system for a power grid, comprising: an initial calculation module 11, an iterative judgment module 12, and a result output module 13;

[0134] Furthermore, in some embodiments of the present application, the initial calculation module 11 is used to obtain the electricity data of the power grid, and calculate the initial installed capacity scale of new energy and the initial capacity of the energy storage system based on the electricity data of the power grid, and then output the initial installed capacity scale of new energy as the first installed capacity scale, and the initial capacity of the energy storage system is output as the first capacity; the iterative judgment module 12 is used to iteratively update the first installed capacity scale and the first capacity according to the preset power simulation production simulation model until the number of 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 scale and the first capacity of the current iteration; wherein the number of power shortage days is obtained by inputting the first installed capacity scale and the first capacity of the current iteration into the preset power simulation production simulation model, and the total investment cost is obtained by calculating the electricity data, the first installed capacity scale of the current iteration and the first capacity of the current iteration; in each iteration, the first installed capacity scale and the first capacity are updated according to the number of power shortage days of the current iteration and the total investment cost of the current iteration; the result output module 13 is used to determine the new energy configuration of the power grid based on the output first installed capacity scale and first capacity.

[0135] Furthermore, in some embodiments of the present application, the initial calculation module 11 includes a first calculation unit;

[0136] 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;

[0137] The first calculation unit is used to calculate the initial installed capacity of the new energy according to the following formula:

[0138]

[0139] in, is the photovoltaic installed capacity, is the installed capacity of wind power, is the total annual electricity consumption of the power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

[0140] Furthermore, in some embodiments of the present application, the initial calculation module 11 further includes a second calculation unit;

[0141] 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;

[0142] The second calculation unit is configured to calculate the initial capacity of the energy storage system according to the following formula:

[0143]

[0144] 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.

[0145] Furthermore, in some embodiments of the present application, the iteration determination module 12 includes a cost calculation unit;

[0146] The electricity data includes the unit cost of photovoltaic power, the unit cost of wind power and the unit cost of energy storage;

[0147] The cost calculation unit is used to calculate the total investment cost according to the following formula:

[0148]

[0149] 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

[0150] Furthermore, in some embodiments of the present application, the iterative determination module 12 further includes a power shortage days calculation unit;

[0151] 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.

[0152] Furthermore, in some embodiments of the present application, the number of power shortage days calculated based on the power supply and demand matching situation throughout the year includes:

[0153] 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:

[0154]

[0155] in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

[0156] In summary, the embodiments of the present application calculate the initial installed capacity of renewable energy and the initial capacity of the energy storage system based on the electricity data of a weak power grid, closely integrating the actual power conditions of the weak power grid. This ensures that the planning of renewable energy and energy storage systems is aligned with the actual needs of the power grid from the outset, avoiding the problems of over-planning or under-planning. By inputting the first installed capacity and first capacity into a preset power simulation production model, the number of power shortage days is obtained. During the iterative process, the first installed capacity and first capacity are continuously adjusted using the number of power shortage days as an important evaluation indicator. In this way, the risk of power shortages in the power grid can be effectively reduced, ensuring that power demand can be met under various operating conditions, and improving the power supply reliability of the power grid. At the same time, the total investment cost is taken into consideration during the iterative optimization. By continuously adjusting the first installed capacity and first capacity, the total investment cost is minimized while ensuring power supply reliability. In summary, by dynamically optimizing the configuration of renewable energy installed capacity and energy storage capacity, the present application can effectively enhance the power supply stability of the power grid in scenarios where renewable energy output fluctuates, improve the spatiotemporal matching efficiency of wind and solar resources with load demand, significantly improve the renewable energy absorption capacity, and strengthen the power supply reliability guarantee.

[0157] It can be understood that the above-mentioned device embodiment corresponds to the method embodiment of the present invention, which can implement any one of the above-mentioned method embodiments of the present invention to provide a new energy configuration method for the power grid.

[0158] It should be noted that the device embodiments described above are merely illustrative, and some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment. Furthermore, in the drawings of the device embodiments provided by the present invention, the connection relationship between modules indicates that they have a communication connection, which may be implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement the present invention without inventive effort.

[0159] Example 3

[0160] Based on the above-mentioned embodiment 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.

[0161] For example, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0162] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0163] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0164] Example 4

[0165] Based on the above-mentioned method embodiments, another embodiment of the present invention provides a computer-readable storage medium, including a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the power grid new energy configuration method described in any one of the above-mentioned method embodiments of the present invention.

[0166] If the module / unit integrated into the device / terminal equipment is implemented as a software functional unit and sold or used as a standalone product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention can also implement all or part of the process steps in the above-mentioned method embodiments by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When executed by a processor, the computer program can implement the steps of each of the above-mentioned method embodiments. The computer program includes computer program code, which can be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium can include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium.

[0167] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for configuring new energy in a power grid, characterized in that: include: Obtaining power data of the power grid, and calculating an initial installed capacity scale of new energy and an initial capacity of the energy storage system based on the power data, and then outputting the initial installed capacity scale of new energy as a first installed capacity scale and the initial capacity of the energy storage system as a first capacity; Iteratively updating 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 outputting 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, updating the first installed capacity and the first capacity according to the number of power shortage days and the total investment cost of the current iteration; Determine the new energy configuration of the power grid based on the output first installed capacity and first capacity; 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 model, including: Inputting 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 calculating the number of power shortage days based on the power supply and demand matching situation throughout the year; 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: in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

2. A method for configuring new energy sources for a power grid according to claim 1, characterized in that: The calculating of the initial installed capacity scale of new energy and the initial capacity of the energy storage system based on the electricity data includes: The electricity data 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 initial installed capacity of new energy is calculated 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 power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

3. A method for configuring new energy sources for a power grid according to claim 2, characterized in that: The calculating of the initial installed capacity scale of new energy and the initial capacity of the energy storage system based on the electricity data includes: The power data includes the maximum load of the power grid, the duration of power shortage during the dark period at night on the maximum load day, and the duration of energy storage discharge; The initial capacity of the energy storage system is calculated 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.

4. A method for configuring new energy sources for a power grid according to claim 3, characterized in that: 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, and includes: The electricity data includes the unit cost of photovoltaic power, the unit cost of wind power and the unit cost of energy storage; The total investment cost is calculated 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

5. A new energy configuration system for a power grid, characterized in that: include: Initial calculation module, iterative judgment module and result output module; The initial calculation module is configured to obtain power data of the power grid, and calculate an initial installed capacity scale of the new energy and an initial capacity of the energy storage system based on the power data of the power grid, and then output the initial installed capacity scale of the new energy as a first installed capacity scale and the initial capacity of the energy storage system as a 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; 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 model, including: Inputting 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 calculating the number of power shortage days based on the power supply and demand matching situation throughout the year; 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: in, The number of days with power shortage in the whole year, is the power shortage mark of the ith hour. If the power supply is insufficient in that hour, =1, otherwise =0.

6. A new energy configuration system for a power grid according to claim 5, 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: in, is the photovoltaic installed capacity, is the installed capacity of wind power, is the total annual electricity consumption of the power grid, is the photovoltaic ratio, is the annual photovoltaic utilization hours, is the annual utilization hours of wind power.

7. A new energy configuration system for a power grid according to claim 6, 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: 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.

8. A new energy configuration system for a power grid according to claim 7, 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: 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 cost of photovoltaics, is the unit cost of wind power, is the unit cost of energy storage.

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