A fusion type supply area level new energy consumption rate calculation method and device

Abstract

The present application relates to a kind of fusion supply area level new energy consumption rate calculation method, comprising: the power balance analysis of provincial, municipal and supply area level power grid, determine whether there is new energy power abandonment risk in corresponding level power grid;Build power grid time sequence production simulation model;Actual wind and light output condition of province level is calculated;Optimize municipal theoretical wind and light output condition;Actual wind and light output condition of municipal considering provincial power abandonment is calculated;Optimize supply area level theoretical wind and light output condition;Actual wind and light output condition of supply area level considering provincial and municipal power abandonment is calculated;Get supply area level new energy consumption rate.The present application realizes the layer-by-layer refinement calculation from provincial, municipal to supply area level, realizes the analysis accuracy of consumption rate to be implemented to specific supply area range;Power balance analysis is placed in each level time sequence simulation simulation, quickly filters out the area without power abandonment risk, simplifies iterative optimization process, significantly improves new energy consumption rate measurement efficiency.

Description

Technical Field

[0001] This invention relates to the field of new energy consumption analysis technology, and in particular to a fusion-type regional-level new energy consumption rate calculation method and equipment. Background Technology

[0002] Due to the resource characteristics of wind and solar power, the output of new energy sources exhibits strong randomness and volatility. The power system's generation, supply, and consumption occur simultaneously, maintaining a dynamic balance at all times. With a high proportion of new energy sources integrated into the power system, the system's regulation burden has increased significantly, and the pressure on the grid to absorb new energy has become increasingly prominent. Wind and solar curtailment has evolved from a localized phenomenon to a widespread problem. Influenced by differences in regional load, resource endowment, and lifestyle habits, the new energy absorption rate varies significantly between power supply areas. Therefore, calculating the new energy absorption rate at the power supply area level has always been a key focus for all parties. It can support the optimized layout of regional new energy sources and guide investors in making rational decisions regarding new energy construction plans, resulting in significant socio-economic benefits.

[0003] Currently, the calculation of renewable energy absorption rates mainly relies on time-series production simulation technology. Existing calculation methods suffer from two significant drawbacks: inaccurate location and excessively long computation times. The former stems from the fact that conventional methods typically employ a single-level, full-network scanning model, resulting in overly macroscopic calculations that often only pinpoint regional (e.g., East China, Central China) or provincial levels. This fails to reflect the actual absorption differences between different power supply areas (e.g., 500kV, 220kV supply areas), making it impossible to accurately locate specific areas of absorption bottlenecks and meet the demands of more refined and differentiated absorption analysis for larger-scale renewable energy integration. The latter is primarily due to the difficulties in solving problems arising from uncertain variables such as generating units and energy storage within the 8760-hour time-series production simulation throughout the year. In the future, as the number of uncertain variables increases, computation time will further increase, severely impacting the efficiency of renewable energy absorption analysis and hindering the high-quality construction and development of future efficient, green, and intelligent new power systems. Summary of the Invention

[0004] To address the two major problems of existing technologies—the inability to achieve precise positioning and the long calculation time—the primary objective of this invention is to provide a fusion-based method for calculating the renewable energy absorption rate at the regional level.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for calculating the renewable energy absorption rate at the integrated supply area level, the method comprising the following sequential steps:

[0006] (1) Based on the provincial boundary conditions, municipal boundary conditions and supply area boundary conditions, conduct power balance analysis on the provincial power grid, municipal power grid and supply area power grid respectively, and determine whether there is a risk of new energy curtailment in the corresponding level of power grid; the provincial boundary conditions, municipal power grid boundary conditions and supply area boundary conditions all include load boundary conditions, power source boundary conditions, power grid boundary conditions and economic indicators, and the power source boundary conditions include theoretical wind and solar power output;

[0007] (2) Build a power grid time-series production simulation model; if there is a risk of power curtailment in the provincial power grid, input the provincial boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the province; if there is no risk of power curtailment in the provincial power grid, then set the actual wind and solar power output of the province to be equal to the theoretical wind and solar power output of the province; the actual wind and solar power output of the province includes the actual wind and solar 8760 power output curve of the province and the actual annual utilization hours of the province; the theoretical wind and solar power output of the province includes the theoretical wind and solar 8760 power output curve of the province and the theoretical annual utilization hours of the province.

[0008] (3) Optimize the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the provincial level; if there is a risk of curtailment of power in the city-level power grid, input the optimized city-level boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level; if there is no risk of curtailment of power in the city-level power grid, then let the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level be equal to the optimized theoretical wind and solar power output of the city-level power; the actual wind and solar power output of the city-level power includes the actual wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the actual wind and solar power in the city-level power; the theoretical wind and solar power output of the city-level power includes the theoretical wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the theoretical wind and solar power in the city-level power.

[0009] (4) Optimize the theoretical wind and solar power output of the supply area in the boundary conditions of the supply area based on the actual wind and solar power output of the provincial and municipal levels; if there is a risk of curtailment of power in the supply area power grid, input the optimized supply area boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels; if there is no risk of curtailment of power in the supply area power grid, then let the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels be equal to the optimized theoretical wind and solar power output of the supply area; the actual wind and solar power output of the supply area includes the actual wind and solar power output curve of the supply area and the annual utilization hours of the actual wind and solar power in the supply area; the theoretical wind and solar power output of the supply area includes the theoretical wind and solar power output curve of the supply area and the annual utilization hours of the theoretical wind and solar power in the supply area.

[0010] (5) Based on the theoretical wind and solar power output of the power supply area and the actual wind and solar power output of the power supply area after considering the curtailment of provincial and municipal power, the renewable energy consumption rate ξ of the power supply area is obtained. 供区 .

[0011] Step (1) specifically includes the following steps:

[0012] (1a) Collect historical and planning data on boundary conditions such as electricity load, various types of power sources, and power grid structure at the provincial, municipal, and district levels. The historical data includes the scale values ​​of electricity load, various types of power sources, and power grid structure, as well as the annual 8760 operation values. The planning data includes the scale values ​​of electricity load, various types of power sources, and power grid structure. The economic indicators include the operating costs of various types of power sources, the start-up and shutdown costs of thermal power units, the wind and solar curtailment penalty costs, and the load adjustment penalty costs.

[0013] (1b) The probability distribution statistical method was used to process the annual 8760 operating values ​​of electricity load and various types of power sources to obtain the load coefficient and output coefficient of each type of power source with a 95% confidence level for each time period. The most severe period of new energy consumption in the power grid was selected in combination with the actual dispatching operation.

[0014] (1c) Based on provincial, municipal, and district boundary conditions, as well as the obtained load factor and output factor of various types of power sources, a power balance analysis is conducted on the period when the grid's new energy consumption is most severe, and the surplus power E of the grid is obtained. 盈余 :

[0015] E 盈余 =∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 -P 负荷 ;

[0016] In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower; P 间歇 For the output of intermittent power sources such as wind and solar power; P 区外 For AC and DC power supplied from outside the area; P 调节 The charging power for pumped storage and other regulated power sources; P 负荷 For power grid load;

[0017] (1d) Based on the power grid structure at the provincial, municipal, and district levels, the regional power transmission capacity limit is obtained through power flow simulation calculation. The regional power transmission capacity limit includes the power transmission capacity limit P caused by the main transformer constraint. 外送，主变 The transmission capacity limit P caused by line constraints 外送，线路 ;

[0018] (1e) Determine whether there is a risk of renewable energy curtailment in the corresponding level of the power grid, specifically:

[0019] If E 盈余 Greater than P 外送，主变 and P外送，线路 The smaller of the values ​​indicates that the corresponding level of the power grid faces the risk of curtailment of renewable energy.

[0020] If E 盈余 Less than or equal to P 外送，主变 and P 外送，线路 If the smaller value is among the values, then there is no risk of new energy curtailment in the corresponding level of the power grid.

[0021] In step (2), the power grid time-series production simulation model includes constraints and an objective function;

[0022] The constraints include power balance constraints, reserve capacity constraints, and unit start-up and shutdown constraints, wherein the formula for the power balance constraint is:

[0023] ∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 =P 负荷 ;

[0024] In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower; P 间歇 For the output of intermittent power sources such as wind and solar power; P 区外 For AC and DC power supplied from outside the area; P 调节 The charging power for pumped storage and other regulated power sources; P 负荷 For power grid load;

[0025] The formula for the reserve capacity constraint is:

[0026] -∑P max火 -C 间歇 ≤-P 负荷 -S 正 ;

[0027] ∑P min火 +C 间歇 ≤P 负荷 -S 负 ;

[0028] In the formula, ∑P min火 The sum of the minimum technical output of coal-fired and gas-fired power units, ∑P max火 C is the sum of the maximum technical output of thermal power units. 间歇 For the reliable capacity of intermittent power sources such as wind and solar power, S 正 and S 负 These are the system's positive spin-off reserve capacity and the system's negative spin-off reserve capacity, respectively.

[0029] The formula for the unit start-up and shutdown constraints is:

[0030] Pmin火 ·X≤P 火 ≤P max火 ·X;

[0031] In the formula, P 火 P represents the output of the thermal power unit; X is a binary variable representing the operating status of the thermal power unit, where 0 represents the unit is in a stopped state and 1 represents the unit is in an operating state; min火 For the minimum technical output of thermal power units, P max火 To contribute the maximum technical strength to thermal power units;

[0032] The objective function is the total social operating cost F. 全社会 The lowest, specifically:

[0033] F 全社会 =min(∑F 电源 +F 启停 +F 弃电 +F 负荷 );

[0034] In the formula, F 全社会 For the total operating costs of society, ∑F 电源 F is the sum of the operating costs of all types of power supplies. 启停 For the start-up and shutdown costs of thermal power units, F 弃电 For the cost of wind and solar power curtailment, F 负荷 Costs for load adjustment.

[0035] In step (3), the optimization of the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the province specifically refers to:

[0036] Based on the provincial actual wind power output curve (8760), the municipal theoretical wind power output curve (8760) is optimized to obtain the optimized municipal theoretical wind power output curve. The municipal wind power output coefficient is then proportionally adjusted according to the changes in the provincial wind power output coefficient.

[0037] p 省实光i / p 省理光i =p 优市理光i / p 市理光i ;

[0038] p 省实风i / p 省理风i =p 优市理风i / p 市理风i ;

[0039] In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风i Let p be the provincial actual wind power output coefficient at time i. 省理光iLet p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风i Let p be the optimized theoretical wind power output coefficient for the city at time i. 市理光i Let p be the city-level theoretical photovoltaic power output coefficient at time i. 市理风i Let i be the city-level theoretical wind power output coefficient;

[0040] Based on the optimized city-level theoretical wind and solar power output curve of 8760 kilowatts, the optimized city-level theoretical annual photovoltaic utilization hours h are calculated. 优市理光 And the optimized city-level theoretical annual wind power utilization hours (h) 优市理风 :

[0041] h 优市理光 =∫ 全年 p 优市理光i dt;

[0042] h 优市理风 =∫ 全年 p 优市理风i dt;

[0043] In step (4), the theoretical wind and solar power output at the supply area level in optimizing the supply area boundary conditions based on the actual wind and solar power output at the provincial and municipal levels specifically refers to:

[0044] Based on the provincial actual wind and solar power output curve (8760 kW) and the municipal actual wind and solar power output curve (8760 kW) considering provincial curtailment, the district-level theoretical wind and solar power output curve (8760 kW) is optimized to obtain the district-level wind and solar power output curve (8760 kW). The district-level wind and solar power output coefficient is then proportionally adjusted based on changes in the provincial and municipal wind and solar power output coefficients.

[0045] (p 省实光i / p 省理光i )·(p 考市实光i / p 优市理光i )=p 优供区理光i / p 供区理光i ;

[0046] (p 省实风i / p 省理风i )·(p 考市实风i / p 优市理风i )=p 优供区理风i / p 供区理风i ;

[0047] In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风iLet p be the provincial actual wind power output coefficient at time i. 省理光i Let p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 考市实光i Let p be the actual photovoltaic output coefficient of the city after provincial curtailment at time i. 考市实风i Let p be the actual wind power output coefficient of the city after provincial curtailment at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风i Let p be the optimized theoretical wind power output coefficient for the city at time i. 优供区理光i Let p be the optimized theoretical photovoltaic output coefficient for the power supply area at time i. 优供区理风i p is the optimized theoretical wind power output coefficient for the power supply area at time i. 供区理光i Let p be the theoretical photovoltaic output coefficient of the power supply area at time i. 供区理风i Let i be the theoretical wind power output coefficient of the district level;

[0048] Based on the optimized theoretical wind and solar power output curve at the power supply level (8760 MW), the optimized theoretical annual photovoltaic utilization hours (h) at the power supply level are calculated. 优供区理光 And the optimized theoretical annual utilization hours of wind power at the supply area level (h) 优供区理风 :

[0049] h 优供区理光 =∫ 全年 p 优供区理光i dt;

[0050] h 优供区理风 =∫ 全年 p 优供区理风i dt.

[0051] Step (5) specifically refers to: the regional-level new energy consumption rate ξ 供区 The formula is:

[0052] ξ 供区 =E 考供区实际 / E 供区理论 ;

[0053] E 考供区实际 =W 供区风 ·h 考供区实风 + W 供区光 ·h 考供区实光 ;

[0054] E 供区理论 = W 供区风 ·h 供区理风 + W 供区光 ·h 供区理光 ;

[0055] In the formula, E 考供区实际To account for the actual power generation of district-level renewable energy sources after provincial and municipal curtailment; E 供区理论 To supply the theoretical power generation of new energy sources at the district level; W 供区风 For the installed capacity of wind power in the supply area; W 供区光 For the photovoltaic installation scale of the supply area; h 考供区实风 To account for the actual annual utilization hours of wind power in the supply area after provincial and municipal curtailment; h 考供区实光 To account for the actual annual utilization hours of photovoltaic power in the supply area after provincial and municipal curtailment; h 供区理风 To provide the theoretical wind power utilization hours for the district level; h 供区理光 This refers to the theoretical photovoltaic utilization hours at the district level.

[0056] Another object of the present invention is to provide an electronic device comprising:

[0057] Processor; and

[0058] The memory stores computer program instructions, which, when executed by the processor, cause the processor to perform the integrated regional renewable energy consumption rate calculation method as described above.

[0059] The present invention also provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the integrated regional renewable energy consumption rate calculation method as described above.

[0060] As can be seen from the above technical solution, the beneficial effects of this invention are as follows: First, it constructs a multi-level iterative optimization calculation system for new energy absorption rate, realizing a progressively refined recursive calculation from the provincial macro-region, the municipal meso-network to the supply area micro-unit. It achieves a key breakthrough in accurately locating the analysis accuracy from the regional macro level to the specific supply area unit, enabling precise positioning of weak links in the power transmission and bottlenecks in absorption in the power system. This provides more refined, scientific, and rational decision support for power grid planning and layout, dispatching and operation management, and efficient utilization of new energy, significantly improving the power grid's adaptability to the continuous increase in new energy penetration rate. Second, it innovatively proposes a logical architecture that integrates traditional power balance analysis methods with cutting-edge digital twin technology. It places efficient and rapid power balance analysis in the time-series simulation of power grids at each level, quickly screening out areas without the risk of new energy curtailment, thereby effectively simplifying the iterative optimization process, significantly improving the efficiency of supply area-level new energy absorption rate calculation, and greatly saving the human and computing resources required for absorption analysis. Attached Figure Description

[0061] Figure 1 This is a flowchart of the method of the present invention;

[0062] Figure 2This is a schematic diagram of the power grid time-series production simulation model in this invention;

[0063] Figure 3 This is a schematic diagram of the city-level wind and solar power output curves before and after optimization based on provincial calculation results in this invention. Detailed Implementation

[0064] like Figure 1 As shown, a method for calculating the renewable energy absorption rate at the integrated supply area level is proposed. This method includes the following steps in sequence:

[0065] (1) Based on the provincial boundary conditions, municipal boundary conditions and supply area boundary conditions, conduct power balance analysis on the provincial power grid, municipal power grid and supply area power grid respectively, and determine whether there is a risk of new energy curtailment in the corresponding level of power grid; the provincial boundary conditions, municipal power grid boundary conditions and supply area boundary conditions all include load boundary conditions, power source boundary conditions, power grid boundary conditions and economic indicators, and the power source boundary conditions include theoretical wind and solar power output;

[0066] (2) Build a power grid time-series production simulation model; if there is a risk of power curtailment in the provincial power grid, input the provincial boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the province; if there is no risk of power curtailment in the provincial power grid, then set the actual wind and solar power output of the province to be equal to the theoretical wind and solar power output of the province; the actual wind and solar power output of the province includes the actual wind and solar 8760 power output curve of the province and the actual annual utilization hours of the province; the theoretical wind and solar power output of the province includes the theoretical wind and solar 8760 power output curve of the province and the theoretical annual utilization hours of the province.

[0067] (3) Optimize the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the provincial level; if there is a risk of curtailment of power in the city-level power grid, input the optimized city-level boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level; if there is no risk of curtailment of power in the city-level power grid, then let the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level be equal to the optimized theoretical wind and solar power output of the city-level power; the actual wind and solar power output of the city-level power includes the actual wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the actual wind and solar power in the city-level power; the theoretical wind and solar power output of the city-level power includes the theoretical wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the theoretical wind and solar power in the city-level power.

[0068] (4) Optimize the theoretical wind and solar power output of the supply area in the boundary conditions of the supply area based on the actual wind and solar power output of the provincial and municipal levels; if there is a risk of curtailment of power in the supply area power grid, input the optimized supply area boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels; if there is no risk of curtailment of power in the supply area power grid, then let the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels be equal to the optimized theoretical wind and solar power output of the supply area; the actual wind and solar power output of the supply area includes the actual wind and solar power output curve of the supply area and the annual utilization hours of the actual wind and solar power in the supply area; the theoretical wind and solar power output of the supply area includes the theoretical wind and solar power output curve of the supply area and the annual utilization hours of the theoretical wind and solar power in the supply area.

[0069] (5) Based on the theoretical wind and solar power output of the power supply area and the actual wind and solar power output of the power supply area after considering the curtailment of provincial and municipal power, the renewable energy consumption rate ξ of the power supply area is obtained. 供区 .

[0070] Step (1) specifically includes the following steps:

[0071] (1a) Collect historical and planning data on boundary conditions such as electricity load, various types of power sources, and power grid structure at the provincial, municipal, and district levels. The historical data includes the scale values ​​of electricity load, various types of power sources, and power grid structure, as well as the annual 8760 operation values. The planning data includes the scale values ​​of electricity load, various types of power sources, and power grid structure. The economic indicators include the operating costs of various types of power sources, the start-up and shutdown costs of thermal power units, the wind and solar curtailment penalty costs, and the load adjustment penalty costs.

[0072] (1b) The probability distribution statistical method was used to process the annual 8760 operating values ​​of electricity load and various types of power sources to obtain the load coefficient and output coefficient of each type of power source with a 95% confidence level for each time period. Based on the actual dispatch operation, the most severe period of new energy consumption of the power grid was selected. Among them, the most severe period of new energy consumption of the power grid dominated by wind power mostly occurred during the nighttime low period in spring and autumn, the most severe period of the power grid dominated by photovoltaic power mostly occurred during the midday low period in spring and autumn, and the most severe period of the power grid dominated by hydropower may also occur during the flood season.

[0073] (1c) Based on provincial, municipal, and district boundary conditions, as well as the obtained load factor and output factor of various types of power sources, a power balance analysis is conducted on the period when the grid's new energy consumption is most severe, and the surplus power E of the grid is obtained. 盈余 :

[0074] E 盈余 =∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 -P负荷 ;

[0075] In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower, P 常规 The value of P is equal to the scale of a conventional controllable power supply multiplied by the output coefficient of the conventional controllable power supply; 间歇 For the output of intermittent power sources such as wind and solar power, P 间歇 The value of P is equal to the intermittent power source scale multiplied by the intermittent power source output coefficient; 区外 For the output of AC and DC power from outside the area, P 区外 The value of P is selected based on the actual operating data or power supply curve of the power supply project outside the area; 调节 For the charging power of regulated power sources such as pumped storage and energy storage, P 调节 The value of P is equal to the scale of the regulating power source multiplied by the output coefficient of the regulating power source; 负荷 For the power grid load, P 负荷 The value is equal to the maximum annual load multiplied by the load factor;

[0076] (1d) Based on the power grid structure at the provincial, municipal, and district levels, the regional power transmission capacity limit is obtained through power flow simulation calculation. The regional power transmission capacity limit includes the power transmission capacity limit P caused by the main transformer constraint. 外送，主变 The transmission capacity limit P caused by line constraints 外送，线路 ;

[0077] (1e) Determine whether there is a risk of renewable energy curtailment in the corresponding level of the power grid, specifically:

[0078] If E 盈余 Greater than P 外送，主变 and P 外送，线路 The smaller of the values ​​indicates that the corresponding level of the power grid faces the risk of curtailment of renewable energy.

[0079] If E 盈余 Less than or equal to P 外送，主变 and P 外送，线路 If the smaller value is among the values, then there is no risk of new energy curtailment in the corresponding level of the power grid.

[0080] In step (2), as Figure 2 As shown, the power grid time-series production simulation model includes constraints and an objective function;

[0081] The constraints include power balance constraints, reserve capacity constraints, and unit start-up and shutdown constraints, wherein the formula for the power balance constraint is:

[0082] ∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 =P 负荷 ;

[0083] In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower, P 常规 The value of P is equal to the scale of a conventional controllable power supply multiplied by the output coefficient of the conventional controllable power supply; 间歇 For the output of intermittent power sources such as wind and solar power, P 间歇 The value of P is equal to the intermittent power source scale multiplied by the intermittent power source output coefficient; 区外 For the output of AC and DC power from outside the area, P 区外 The value of P is selected based on the actual operating data or power supply curve of the power supply project outside the area; 调节 For the charging power of regulated power sources such as pumped storage and energy storage, P 调节 The value of P is equal to the scale of the regulating power source multiplied by the output coefficient of the regulating power source; 负荷 For the power grid load, P 负荷 The value is equal to the maximum annual load multiplied by the load factor;

[0084] The formula for the reserve capacity constraint is:

[0085] -∑P max火 -C 间歇 ≤-P 负荷 -S 正 ;

[0086] ∑P min火 +C 间歇 ≤P 负荷 -S 负 ;

[0087] In the formula, ∑P min火 The sum of the minimum technical output of coal-fired and gas-fired power units, ∑P max火 The sum of the maximum technical output of thermal power units; C 间歇 The reliable capacity of intermittent power sources such as wind and solar power is obtained by evaluating historical operating data of these intermittent power sources; S 正 and S 负 These are the system's positive spinning reserve capacity and negative spinning reserve capacity, respectively, and are taken as a certain percentage of the maximum power load according to the regional dispatch and operation regulations;

[0088] The formula for the unit start-up and shutdown constraints is:

[0089] P min火 ·X≤P 火 ≤P max火 ·X;

[0090] In the formula, P 火P represents the output of the thermal power unit; X is a binary variable representing the operating status of the thermal power unit, where 0 represents the unit is in a stopped state and 1 represents the unit is in an operating state; min火 For the minimum technical output of thermal power units, P max火 To contribute the maximum technical strength to thermal power units;

[0091] The objective function is the total social operating cost F. 全社会 The lowest, specifically:

[0092] F 全社会 =min(∑F 电源 +F 启停 +F 弃电 +F 负荷 );

[0093] In the formula, F 全社会 For the total operating costs of society, ∑F 电源 F is the sum of the operating costs of all types of power supplies. 启停 For the start-up and shutdown costs of thermal power units, F 弃电 For the cost of wind and solar power curtailment, F 负荷 Costs for load adjustment.

[0094] In step (3), the optimization of the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the province specifically refers to:

[0095] Based on the provincial actual wind power output curve (8760), the municipal theoretical wind power output curve (8760) is optimized to obtain the optimized municipal theoretical wind power output curve. The municipal wind power output coefficient is then proportionally adjusted according to the changes in the provincial wind power output coefficient.

[0096] p 省实光i / p 省理光i =p 优市理光i / p 市理光i ;

[0097] p 省实风i / p 省理风i =p 优市理风i / p 市理风i ;

[0098] In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风i Let p be the provincial actual wind power output coefficient at time i. 省理光i Let p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风iLet p be the optimized theoretical wind power output coefficient for the city at time i. 市理光i Let p be the city-level theoretical photovoltaic power output coefficient at time i. 市理风i Let i be the city-level theoretical wind power output coefficient;

[0099] Based on the optimized city-level theoretical wind and solar power output curve of 8760 kilowatts, the optimized city-level theoretical annual photovoltaic utilization hours h are calculated. 优市理光 And the optimized city-level theoretical annual wind power utilization hours (h) 优市理风 :

[0100] h 优市理光 =∫ 全年 p 优市理光i dt;

[0101] h 优市理风 =∫ 全年 p 优市理风i dt;

[0102] In step (4), the theoretical wind and solar power output at the supply area level in optimizing the supply area boundary conditions based on the actual wind and solar power output at the provincial and municipal levels specifically refers to:

[0103] Based on the provincial actual wind and solar power output curve (8760 kW) and the municipal actual wind and solar power output curve (8760 kW) considering provincial curtailment, the district-level theoretical wind and solar power output curve (8760 kW) is optimized to obtain the district-level wind and solar power output curve (8760 kW). The district-level wind and solar power output coefficient is then proportionally adjusted based on changes in the provincial and municipal wind and solar power output coefficients.

[0104] (p 省实光i / p 省理光i )·(p 考市实光i / p 优市理光i )=p 优供区理光i / p 供区理光i ;

[0105] (p 省实风i / p 省理风i )·(p 考市实风i / p 优市理风i )=p 优供区理风i / p 供区理风i ;

[0106] In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风i Let p be the provincial actual wind power output coefficient at time i. 省理光i Let p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 考市实光iLet p be the actual photovoltaic output coefficient of the city after provincial curtailment at time i. 考市实风i Let p be the actual wind power output coefficient of the city after provincial curtailment at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风i Let p be the optimized theoretical wind power output coefficient for the city at time i. 优供区理光i Let p be the optimized theoretical photovoltaic output coefficient for the power supply area at time i. 优供区理风i p is the optimized theoretical wind power output coefficient for the power supply area at time i. 供区理光i Let p be the theoretical photovoltaic output coefficient of the power supply area at time i. 供区理风i Let i be the theoretical wind power output coefficient of the district level;

[0107] Based on the optimized theoretical wind and solar power output curve at the power supply level (8760 MW), the optimized theoretical annual photovoltaic utilization hours (h) at the power supply level are calculated. 优供区理光 And the optimized theoretical annual utilization hours of wind power at the supply area level (h) 优供区理风 :

[0108] h 优供区理光 =∫ 全年 p 优供区理光i dt;

[0109] h 优供区理风 =∫ 全年 p 优供区理风i dt.

[0110] Step (5) specifically refers to: the regional-level new energy consumption rate ξ 供区 The formula is:

[0111] ξ 供区 =E 考供区实际 / E 供区理论 ;

[0112] E 考供区实际 =W 供区风 ·h 考供区实风 + W 供区光 ·h 考供区实光 ;

[0113] E 供区理论 = W 供区风 ·h 供区理风 + W 供区光 ·h 供区理光 ;

[0114] In the formula, E 考供区实际 To account for the actual power generation of district-level renewable energy sources after provincial and municipal curtailment; E 供区理论 To supply the theoretical power generation of new energy sources at the district level; W 供区风 For the installed capacity of wind power in the supply area; W 供区光 For the photovoltaic installation scale of the supply area; h考供区实风 To account for the actual annual utilization hours of wind power in the supply area after provincial and municipal curtailment; h 考供区实光 To account for the actual annual utilization hours of photovoltaic power in the supply area after provincial and municipal curtailment; h 供区理风 To provide the theoretical wind power utilization hours for the district level; h 供区理光 This refers to the theoretical photovoltaic utilization hours at the district level.

[0115] To verify the effectiveness of this invention, the following uses a regional power grid as an example, with specific data and analysis results as follows:

[0116] Power balance analysis was conducted to determine whether there is a risk of renewable energy curtailment in Province A, City B, and Power Supply Area C. The detailed analysis is as follows:

[0117] Table 1. Boundary Conditions of Power Supply Areas in Province A, City B, and Area C (Unit: 10,000 kilowatts)

[0118]

[0119] Using probability distribution statistics, the load factor and power output factor of each type of power source with a 95% confidence level were obtained for each time period. Combined with the actual dispatching and operation situation, it was identified that the most severe period for new energy consumption in Province A, City B, and Power Supply Area C is midday in spring and autumn.

[0120] Based on the boundary conditions and the obtained load factor and power output factor, a power balance analysis was conducted on the period when the consumption of new energy in the region was most severe. The results showed that the surplus power in Province A, City B, and Power Supply Area C during this period was 20.2 million kilowatts, 3.9 million kilowatts, and 280,000 kilowatts, respectively.

[0121] Based on the power grid structure, power flow simulation calculations show that the transmission capacity limit of Province A is mainly constrained by external transmission lines at 17 million kilowatts, the transmission capacity limit of City B is mainly constrained by main transformers at 3.4 million kilowatts, and the transmission capacity limit of Power Supply Area C is mainly constrained by main transformers at 290,000 kilowatts. Comparing the surplus power of each region with its transmission capacity limit, it is found that Province A and City B face the risk of renewable energy curtailment, while Power Supply Area C does not face the risk of renewable energy curtailment.

[0122] A power grid time-series production simulation model was built based on constraints and objective functions. Through power balance analysis, there is a risk of new energy curtailment in Province A. The provincial boundary conditions were input into the power grid time-series production simulation model to calculate the actual wind and solar power output of the province, namely the actual output curves of wind power and photovoltaic power in the province, the actual annual utilization hours of wind power in the province (2017.1 hours), and the actual annual utilization hours of photovoltaic power in the province (986.1 hours).

[0123] Based on the calculation results of Province A, the theoretical wind and solar power output of the city was optimized. A comparison of the wind and solar power output curves before and after optimization is shown below. Figure 3As shown (only portions for April and May are shown), it can be seen that the city-level government implemented a proportional correction for curtailment at the time of provincial-level wind and solar power curtailment. Integrating the output curves yields the annual utilization hours, with wind power before and after optimization at 2151.5 hours and 2124.3 hours respectively, and photovoltaic power before and after optimization at 1149.7 hours and 1071.6 hours respectively. Power balance analysis results indicate that City B faces the risk of renewable energy curtailment. Inputting the optimized city-level boundary conditions into the grid time-series production simulation model, the actual wind and solar power output of the city-level government after considering provincial-level curtailment is calculated, namely the actual output curves of city-level wind and photovoltaic power (8760), the actual annual utilization hours of city-level wind power (2123.0 hours), and the actual annual utilization hours of city-level photovoltaic power (1069.4 hours).

[0124] Based on the calculation results of Province A and City B, the theoretical wind and solar power output of the power supply area was optimized, resulting in the optimized theoretical wind and solar power output curves. Integrating these curves yielded the annual utilization hours, which were 2150.4 hours and 2121.4 hours for wind power before and after optimization, respectively, and 1150.3 hours and 1071.3 hours for photovoltaic power before and after optimization, respectively. Power balance analysis results show that there is no risk of renewable energy curtailment in power supply area C, therefore, no corresponding time-series production simulation is required. The optimized theoretical wind and solar power output curves for the power supply area are the actual wind and solar power output curves for the power supply area after considering provincial and municipal curtailment, and the optimized theoretical annual utilization hours for wind and solar power for the power supply area are the actual utilization hours for wind and solar power for the power supply area (2121.4 hours and 1071.3 hours).

[0125] Based on the region's renewable energy resource endowment, the theoretical annual wind / solar utilization hours for the supply area were selected as 2150.4 hours and 1150.3 hours, respectively. Through three rounds of time-series simulations with progressive iterative optimization at the provincial, municipal, and supply area levels, the actual annual wind / solar utilization hours for the supply area were calculated to be 2121.4 hours and 1071.3 hours, respectively. Inputting the installed capacity of wind and solar power in the supply area, the renewable energy consumption rate of supply area C was found to be 95.2%.

[0126] To verify the computational efficiency improvement brought about by this invention, the specific data and analysis results are as follows:

[0127] A survey of several consulting firms and commonly used time-series production simulation software revealed that the time difference for power balance analysis at the provincial, municipal, and district levels is approximately 10 minutes; the time for time-series production simulation at the provincial, municipal, and district levels is approximately 90 minutes, 60 minutes, and 30 minutes, respectively. Table 2 summarizes the workload for time-series simulation under eight possible scenarios. Calculations show that the average time for direct time-series simulation is 180 minutes, while the average time for this invention is 120 minutes, representing an efficiency improvement of approximately 33.3%.

[0128] Table 2. Workload Statistics for Timing Simulation

[0129]

[0130] In summary, this invention constructs a multi-level iterative optimization calculation system for renewable energy absorption rate, achieving a progressively refined recursive calculation from the provincial macro-region, the municipal meso-network, to the supply area micro-unit. It achieves a key breakthrough in precisely targeting the analysis accuracy from the regional macro level to specific supply area units, accurately locating weak links in the power transmission and bottlenecks limiting absorption in the power system. This provides more refined, scientific, and rational decision support for power grid planning and layout, dispatching and operation management, and efficient utilization of renewable energy, significantly improving the power grid's adaptability to the continuously rising renewable energy penetration rate. Furthermore, it innovatively proposes a logical architecture that integrates traditional power balance analysis methods with cutting-edge digital twin technology, placing efficient and rapid power balance analysis beforehand in the time-series simulation of each level of the power grid. This quickly identifies areas without renewable energy curtailment risk, effectively simplifying the iterative optimization process, significantly improving the efficiency of supply area-level renewable energy absorption rate calculation, and greatly saving the human and computing resources required for absorption analysis.

[0131] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for calculating the renewable energy absorption rate at the integrated supply area level, characterized in that: The method includes the following steps in sequence: (1) Based on the provincial boundary conditions, municipal boundary conditions and supply area boundary conditions, conduct power balance analysis on the provincial power grid, municipal power grid and supply area power grid respectively, and determine whether there is a risk of new energy curtailment in the corresponding level of power grid; the provincial boundary conditions, municipal power grid boundary conditions and supply area boundary conditions all include load boundary conditions, power source boundary conditions, power grid boundary conditions and economic indicators, and the power source boundary conditions include theoretical wind and solar power output; (2) Establish a power grid time-series production simulation model; If there is a risk of power curtailment in the provincial power grid, the provincial boundary conditions are input into the power grid time-series production simulation model to calculate the actual wind and solar power output of the province; if there is no risk of power curtailment in the provincial power grid, the actual wind and solar power output of the province is set equal to the theoretical wind and solar power output of the province; the actual wind and solar power output of the province includes the actual wind and solar 8760 power output curve and the actual annual utilization hours of the province; the theoretical wind and solar power output of the province includes the theoretical wind and solar 8760 power output curve and the theoretical annual utilization hours of the province. (3) Optimize the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the provincial level; if there is a risk of curtailment of power in the city-level power grid, input the optimized city-level boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level; if there is no risk of curtailment of power in the city-level power grid, then let the actual wind and solar power output of the city-level after considering the curtailment of power in the provincial level be equal to the optimized theoretical wind and solar power output of the city-level power; the actual wind and solar power output of the city-level power includes the actual wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the actual wind and solar power in the city-level power; the theoretical wind and solar power output of the city-level power includes the theoretical wind and solar power output curve of the city-level power and solar power and the annual utilization hours of the theoretical wind and solar power in the city-level power. (4) Optimize the theoretical wind and solar power output of the supply area in the boundary conditions of the supply area based on the actual wind and solar power output of the provincial and municipal levels; if there is a risk of curtailment of power in the supply area power grid, input the optimized supply area boundary conditions into the power grid time-series production simulation model to calculate the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels; if there is no risk of curtailment of power in the supply area power grid, then let the actual wind and solar power output of the supply area after considering the curtailment of power at the provincial and municipal levels be equal to the optimized theoretical wind and solar power output of the supply area; the actual wind and solar power output of the supply area includes the actual wind and solar power output curve of the supply area and the annual utilization hours of the actual wind and solar power in the supply area; the theoretical wind and solar power output of the supply area includes the theoretical wind and solar power output curve of the supply area and the annual utilization hours of the theoretical wind and solar power in the supply area. (5) Based on the theoretical wind and solar power output of the power supply area and the actual wind and solar power output of the power supply area after considering the curtailment of provincial and municipal power, the renewable energy consumption rate ξ of the power supply area is obtained. 供区 .

2. The method for calculating the integrated regional renewable energy absorption rate according to claim 1, characterized in that: Step (1) specifically includes the following steps: (1a) Collect historical and planning data on boundary conditions such as electricity load, various types of power sources, and power grid structure at the provincial, municipal, and district levels. The historical data includes the scale values ​​of electricity load, various types of power sources, and power grid structure, as well as the annual 8760 operation values. The planning data includes the scale values ​​of electricity load, various types of power sources, and power grid structure. The economic indicators include the operating costs of various types of power sources, the start-up and shutdown costs of thermal power units, the wind and solar curtailment penalty costs, and the load adjustment penalty costs. (1b) The probability distribution statistical method was used to process the annual 8760 operating values ​​of electricity load and various types of power sources to obtain the load coefficient and output coefficient of each type of power source with a 95% confidence level for each time period. The most severe period of new energy consumption in the power grid was selected in combination with the actual dispatching operation. (1c) Based on provincial, municipal, and district boundary conditions, as well as the obtained load factor and output factor of various types of power sources, a power balance analysis is conducted on the period when the grid's new energy consumption is most severe, and the surplus power E of the grid is obtained. 盈余 : AND 盈余 =∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 -P 负荷 ; In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower; P 间歇 For the output of intermittent power sources such as wind and solar power; P 区外 For AC and DC power supplied from outside the area; P 调节 The charging power for pumped storage and other regulated power sources; P 负荷 For power grid load; (1d) Based on the power grid structure at the provincial, municipal, and district levels, the regional power transmission capacity limit is obtained through power flow simulation calculation. The regional power transmission capacity limit includes the power transmission capacity limit P caused by the main transformer constraint. 外送，主变 The transmission capacity limit P caused by line constraints 外送，线路 ; (1e) Determine whether there is a risk of renewable energy curtailment in the corresponding level of the power grid, specifically: If E 盈余 Greater than P 外送，主变 and P 外送，线路 The smaller of the values ​​indicates that the corresponding level of the power grid faces the risk of curtailment of renewable energy. If E 盈余 Less than or equal to P 外送，主变 and P 外送，线路 If the smaller value is among the values, then there is no risk of new energy curtailment in the corresponding level of the power grid.

3. The method for calculating the integrated regional renewable energy absorption rate according to claim 1, characterized in that: In step (2), the power grid time-series production simulation model includes constraints and an objective function; The constraints include power balance constraints, reserve capacity constraints, and unit start-up and shutdown constraints, wherein the formula for the power balance constraint is: ∑P 常规 +∑P 间歇 +∑P 区外 -∑P 调节 =P 负荷 ; In the formula, P 常规 For the output of conventional controllable power sources such as thermal power, nuclear power, and hydropower; P 间歇 For the output of intermittent power sources such as wind and solar power; P 区外 For AC and DC power supplied from outside the area; P 调节 The charging power for pumped storage and other regulated power sources; P 负荷 For power grid load; The formula for the reserve capacity constraint is: -∑P max火 -C 间歇 ≤-P 负荷 -S 正 ; ∑P min火 +C 间歇 ≤P 负荷 -S 负 ; In the formula, ∑P min火 The sum of the minimum technical output of coal-fired and gas-fired power units, ∑P max火 C is the sum of the maximum technical output of thermal power units. 间歇 For the reliable capacity of intermittent power sources such as wind and solar power, S 正 and S 负 These are the system's positive spin-off reserve capacity and the system's negative spin-off reserve capacity, respectively. The formula for the unit start-up and shutdown constraints is: P min火 ·X≤P 火 ≤P max火 ·X; In the formula, P 火 P represents the output of the thermal power unit; X is a binary variable representing the operating status of the thermal power unit, where 0 represents the unit is in a stopped state and 1 represents the unit is in an operating state; min火 For the minimum technical output of thermal power units, P max火 To contribute the maximum technical strength to thermal power units; The objective function is the total social operating cost F. 全社会 The lowest, specifically: F 全社会 =min(∑F 电源 +F 启停 +F 弃电 +F 负荷 ); In the formula, F 全社会 For the total operating costs of society, ∑F 电源 F is the sum of the operating costs of all types of power supplies. 启停 For the start-up and shutdown costs of thermal power units, F 弃电 For the cost of wind and solar power curtailment, F 负荷 Costs for load adjustment.

4. The method for calculating the integrated supply area-level renewable energy absorption rate according to claim 1, characterized in that: In step (3), the optimization of the theoretical wind and solar power output of the city-level boundary conditions based on the actual wind and solar power output of the province specifically refers to: Based on the provincial actual wind power output curve (8760), the municipal theoretical wind power output curve (8760) is optimized to obtain the optimized municipal theoretical wind power output curve. The municipal wind power output coefficient is then proportionally adjusted according to the changes in the provincial wind power output coefficient. p 省实光i / p 省理光i =p 优市理光i / p 市理光i ; p 省实风i / p 省理风i =p 优市理风i / p 市理风i ; In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风i Let p be the provincial actual wind power output coefficient at time i. 省理光i Let p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风i Let p be the optimized theoretical wind power output coefficient for the city at time i. 市理光i Let p be the city-level theoretical photovoltaic power output coefficient at time i. 市理风i Let i be the city-level theoretical wind power output coefficient; Based on the optimized city-level theoretical wind and solar power output curve of 8760 kilowatts, the optimized city-level theoretical annual photovoltaic utilization hours h are calculated. 优市理光 And the optimized city-level theoretical annual wind power utilization hours (h) 优市理风 : h 优市理光 =∫ 全年 p 优市理光i dt; h 优市理风 =∫ 全年 p 优市理风i dt。 5. The method for calculating the integrated regional renewable energy absorption rate according to claim 1, characterized in that: In step (4), the theoretical wind and solar power output at the supply area level in optimizing the supply area boundary conditions based on the actual wind and solar power output at the provincial and municipal levels specifically refers to: Based on the provincial actual wind and solar power output curve (8760 kW) and the municipal actual wind and solar power output curve (8760 kW) considering provincial curtailment, the district-level theoretical wind and solar power output curve (8760 kW) is optimized to obtain the district-level wind and solar power output curve (8760 kW). The district-level wind and solar power output coefficient is then proportionally adjusted based on changes in the provincial and municipal wind and solar power output coefficients. (p 省实光i / p 省理光i )·(p 考市实光i / p 优市理光i )=p 优供区理光i / p 供区理光i ; (p 省实风i / p 省理风i )·(p 考市实风i / p 优市理风i )=p 优供区理风i / p 供区理风i ; In the formula, p 省实光i Let p be the actual provincial photovoltaic power output coefficient at time i. 省实风i Let p be the provincial actual wind power output coefficient at time i. 省理光i Let p be the provincial theoretical photovoltaic power output coefficient at time i. 省理风i Let p be the provincial theoretical wind power output coefficient at time i. 考市实光i Let p be the actual photovoltaic output coefficient of the city after provincial curtailment at time i. 考市实风i Let p be the actual wind power output coefficient of the city after provincial curtailment at time i. 优市理光i p is the optimized theoretical photovoltaic output coefficient of the city at time i. 优市理风i Let p be the optimized theoretical wind power output coefficient for the city at time i. 优供区理光i Let p be the optimized theoretical photovoltaic output coefficient for the power supply area at time i. 优供区理风i p is the optimized theoretical wind power output coefficient for the power supply area at time i. 供区理光i Let p be the theoretical photovoltaic output coefficient of the power supply area at time i. 供区理风i Let i be the theoretical wind power output coefficient of the district level; Based on the optimized theoretical wind and solar power output curve at the power supply level (8760 MW), the optimized theoretical annual photovoltaic utilization hours (h) at the power supply level are calculated. 优供区理光 And the optimized theoretical annual utilization hours of wind power at the supply area level (h) 优供区理风 : h 优供区理光 =∫ 全年 p 优供区理光i dt; h 优供区理风 =∫ 全年 p 优供区理风i dt。 6. The method for calculating the integrated regional renewable energy absorption rate according to claim 1, characterized in that: Step (5) specifically refers to: the regional-level new energy consumption rate ξ 供区 The formula is: ξ 供区 =E 考供区实际 / AND 供区理论 ; HAVE BEEN 考供区实际 =W 供区风 h 考供区实风 +W 供区光 h 考供区实光 ; HAVE BEEN 供区理论 = W 供区风 h 供区理风 +W 供区光 h 供区理光 ; In the formula, E 考供区实际 To account for the actual power generation of district-level renewable energy sources after provincial and municipal curtailment; E 供区理论 To supply the theoretical power generation of new energy sources at the district level; W 供区风 For the installed capacity of wind power in the supply area; W 供区光 For the photovoltaic installation scale of the supply area; h 考供区实风 To account for the actual annual utilization hours of wind power in the supply area after provincial and municipal curtailment; h 考供区实光 To account for the actual annual utilization hours of photovoltaic power in the supply area after provincial and municipal curtailment; h 供区理风 To provide the theoretical wind power utilization hours for the district level; h 供区理光 This refers to the theoretical photovoltaic utilization hours at the district level.

7. An electronic device, comprising: processor; as well as A memory storing computer program instructions, which, when executed by the processor, cause the processor to perform the integrated regional renewable energy consumption rate calculation method as described in any one of claims 1-6.

8. A computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, cause the processor to perform the integrated regional renewable energy consumption rate calculation method as described in any one of claims 1-6.

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