Inter-provincial power dispatching method and device, computer equipment and readable storage medium

Abstract

The invention discloses an inter-provincial power dispatching method and device, computer equipment and a readable storage medium, which can improve the utilization efficiency and safety of regional power resources and guarantee the stability of power supply. The method comprises the following steps: calculating a first total power generation amount and a first total power consumption amount corresponding to a first target province by adopting a power supply structure model and a power consumption characteristic model, and calculating a second total power generation amount and a second total power consumption amount corresponding to a second target province; inputting the first total power generation amount, the second total power generation amount, the first total power consumption amount and the second total power consumption amount into an inter-province power mutual aid demand model to obtain an inter-province power mutual aid demand amount; constructing an initial power transmission scheme according to the inter-provincial power mutual aid demand quantity, continuously adopting the power transmission constraint model and the optimization scheduling model to optimize the initial power transmission scheme until a preset optimization stopping condition is met, and taking the optimized power transmission scheme as a target power transmission scheme; and performing inter-provincial power dispatching according to the target power transmission scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power dispatching, in particular to an inter-provincial power dispatching method and device, computer equipment and readable storage medium. BACKGROUND

[0002] With the development of economy and the increase of population, it is expected that the demand for electricity will continue to grow. In the event of extreme weather or other emergencies, such as typhoons, heavy rains, high temperatures or cold waves, the power system of a single province may be difficult to cope independently, and there is an urgent need for power support and peak shaving cooperation from neighboring provinces. For example, during the summer heat, the demand for electricity in Jiangsu and Zhejiang increases rapidly, while the hydropower resources in Anhui may be sufficient, and the optimal allocation of resources can be achieved through inter-provincial power exchange to ensure the stability of regional power supply.

[0003] The existing power market mechanism and policy regulations mainly focus on the intraprovincial power market, and lack effective coordination mechanisms and incentive measures for inter-provincial power exchange. The optimal allocation and market-oriented coordination path of inter-provincial power resources are difficult to effectively implement, affecting the overall efficiency and effectiveness of power exchange. To address these challenges, it is necessary to establish a sound inter-provincial power dispatching scheme determination method to improve the utilization efficiency and safety of regional power resources and ensure the stability of power supply. SUMMARY

[0004] Therefore, the present application provides an inter-provincial power dispatching method, device, computer equipment and readable storage medium, which mainly aims to solve the problem of the need to establish a sound inter-provincial power dispatching scheme determination method to improve the utilization efficiency and safety of regional power resources and ensure the stability and economy of power supply.

[0005] According to a first aspect of the present application, an inter-provincial power dispatching method is provided, which comprises:

[0006] The power source structure model and the power consumption characteristic model are used to calculate the first total power generation and the first total power consumption corresponding to the first target province, and to calculate the second total power generation and the second total power consumption corresponding to the second target province;

[0007] The first total power generation, the second total power generation, the first total power consumption and the second total power consumption are input into the inter-provincial power exchange demand model to obtain the inter-provincial power exchange demand between the first target province and the second target province output by the inter-provincial power exchange demand model;

[0008] An initial power transmission scheme is constructed according to the inter-provincial power mutual aid demand, and the initial power transmission scheme is continuously optimized by using a power transmission constraint model and an optimal scheduling model until a preset stop optimization condition is reached, and the optimized power transmission scheme is stopped and taken as a target power transmission scheme;

[0009] Inter-provincial power scheduling is performed according to the target power transmission scheme.

[0010] Optionally, a power source structure model is used to calculate a first total power generation corresponding to the first target province and a second total power generation corresponding to the second target province, including:

[0011] A first power generation parameter and a second power generation parameter are obtained, wherein the first power generation parameter includes power generation of each power source corresponding to the first target province, and the second power generation parameter includes power generation of each power source corresponding to the second target province, and the power source includes, but is not limited to, thermal power, hydropower, wind power and solar power;

[0012] The first power generation parameter and the second power generation parameter are respectively input into the power source structure model for calculation, and a first total power generation and a second total power generation output by the power source structure model are obtained, wherein the power source structure model is represented as:

[0013]

[0014] P i represents total power generation of the i-th province; P i,j represents power generation of the j-th power source of the i-th province; and n represents the number of power source types.

[0015] Optionally, a power consumption characteristic model is used to calculate a first total power consumption corresponding to the first target province and a second total power consumption corresponding to the second target province, including:

[0016] A first power consumption parameter corresponding to the first target province and a second power consumption parameter corresponding to the second target province are obtained, wherein the power consumption parameter includes basic power consumption, seasonal power consumption fluctuation, daily peak power consumption fluctuation and total power consumption corresponding to each time point;

[0017] The first power consumption parameter and the second power consumption parameter are respectively input into the power consumption characteristic model for calculation, and a first total power consumption and a second total power consumption output by the power consumption characteristic model are obtained, wherein the power consumption characteristic model is represented as:

[0018] D i (t)=D i,base +D i,season (t)+D i,peak (t);

[0019] D i (t) represents the total electricity consumption of the i-th province at time t, D i,base D represents basic electricity consumption. i,season (t) represents seasonal fluctuations in electricity consumption, D i,peak (t) represents the daily peak electricity consumption fluctuation.

[0020] Optionally, the step of inputting the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption into the inter-provincial power mutual assistance demand model, and obtaining the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model, includes:

[0021] The first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into the inter-provincial power mutual assistance demand model. Based on the inter-provincial power mutual assistance demand model, the first difference between the first total electricity consumption and the first total power generation is calculated, and the second difference between the second total electricity consumption and the second total power generation is calculated.

[0022] The first difference is compared with a preset value. If the first difference is greater than the preset value, the first difference is selected as the first value to be calculated; otherwise, the preset value is selected as the first value to be calculated.

[0023] The second difference is compared with the preset value. If the second difference is greater than the preset value, the second difference is selected as the second value to be calculated; otherwise, the preset value is selected as the second value to be calculated.

[0024] The difference between the first value to be calculated and the second value to be calculated is taken as the inter-provincial power mutual assistance demand between the first target province and the second target province.

[0025] The inter-provincial power mutual assistance demand model is expressed as follows:

[0026] R i,j (t)=max(0,D i (t)-P i (t))-max(0,P j (t)-D j (t));

[0027] R i,j (t) represents the inter-provincial electricity demand from province i to province j at time t, D i (t) and D j (t) represent the electricity consumption of the i-th and j-th provinces, respectively, P i (t) and P j(t) represents the power generation of the i-th and j-th provinces, respectively.

[0028] Optionally, constructing an initial power transmission scheme based on the inter-provincial power exchange demand includes:

[0029] Based on the power transmission line layout between the first target province and the second target province, a target transmission path is determined, and the target transmission path corresponds to multiple power transmission lines;

[0030] Based on the inter-provincial power exchange demand between the first target province and the second target province, the power transmission direction is determined, and based on the inter-provincial power exchange demand and the capacity corresponding to each transmission line, an initial transmission power is allocated to each transmission line to obtain the initial transmission scheme.

[0031] Optionally, the step of continuously optimizing the initial power transmission scheme using the power transmission constraint model and the optimal scheduling model until a preset stopping optimization condition is met includes:

[0032] An economic evaluation model is used to evaluate the initial power transmission scheme, and evaluation results are generated.

[0033] The economic evaluation model is expressed as follows:

[0034] C i,j (t)=P i,j (t)·(π j (t)-π i (t));

[0035] C i,j (t) represents the cost or benefit of electricity trading from province i to province j at time t, P i,j (t) represents the electric force of the transaction, π i (t) and π j (t) represent the electricity prices in the i-th and j-th provinces, respectively;

[0036] When the evaluation result does not meet the stopping optimization condition, the initial power transmission scheme is optimized using the optimized scheduling model, and the power transmission amount corresponding to the power transmission scheme is constrained using the power transmission constraint model to obtain the optimized power transmission scheme. The optimized scheduling model is expressed as follows:

[0037]

[0038] Where T represents the total number of scheduling periods, and N represents the total number of provinces;

[0039] The optimized power transmission scheme is continuously evaluated using the economic evaluation model, and evaluation results are generated. When the evaluation results indicate that the scheme needs to be optimized, the optimized scheduling model and the power transmission constraint model are used to optimize the power transmission scheme again. The optimized power transmission scheme is evaluated again using the economic evaluation model until the evaluation results output by the economic evaluation model reach the stop optimization condition.

[0040] Optionally, constraining the power transmission amount corresponding to the power transmission scheme using the power transmission constraint model includes:

[0041] Identify the multiple transmission lines corresponding to the power transmission scheme, and determine the transmission power corresponding to each transmission line;

[0042] The power transmission amount corresponding to the power transmission scheme is calculated based on the transmission power corresponding to each transmission line, and the power transmission amount is constrained by the power transmission constraint model so that the power transmission amount corresponding to the power transmission scheme is less than or equal to the maximum transmission capacity corresponding to the power transmission direction.

[0043] The power transmission constraint model is expressed as follows:

[0044] T i,j (t)≤T i,j,max ;

[0045] Among them, T i,j (t) represents the amount of electricity transmitted from province i to province j at time t, where T i,j,max This represents the maximum transmission capacity from province i to province j.

[0046] According to a second aspect of this application, an inter-provincial power dispatching system is provided, the system comprising:

[0047] The calculation module is used to calculate the first total power generation and the first total electricity consumption corresponding to the first target province using the power structure model and the electricity consumption characteristic model, and to calculate the second total power generation and the second total electricity consumption corresponding to the second target province.

[0048] The acquisition module is used to input the first total power generation, the second total power generation, the first total electricity consumption and the second total electricity consumption into the inter-provincial power mutual assistance demand model, and obtain the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model.

[0049] The optimization module is used to construct an initial power transmission scheme based on the inter-provincial power mutual assistance demand, continuously optimize the initial power transmission scheme using a power transmission constraint model and an optimization scheduling model until a preset stop optimization condition is reached, then stop optimization and use the optimized power transmission scheme as the target power transmission scheme.

[0050] The scheduling module is used to perform inter-provincial power dispatching according to the target power transmission scheme.

[0051] According to a third aspect of this application, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the method described in any of the first aspects above.

[0052] According to a fourth aspect of this application, a computer-readable storage medium is provided, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the steps of the method described in any one of the first aspects above.

[0053] By employing the above technical solution, this application provides an inter-provincial power dispatching method, apparatus, computer equipment, and readable storage medium. First, this application uses a power structure model and a power consumption characteristic model to calculate the first total power generation and the first total power consumption corresponding to a first target province, and calculates the second total power generation and the second total power consumption corresponding to a second target province. Next, the first total power generation, the second total power generation, the first total power consumption, and the second total power consumption are input into an inter-provincial power mutual assistance demand model to obtain the inter-provincial power mutual assistance demand between the first and second target provinces, output by the inter-provincial power mutual assistance demand model. Further, an initial power transmission scheme is constructed based on the inter-provincial power mutual assistance demand, and the initial power transmission scheme is continuously optimized using a power transmission constraint model and an optimization dispatching model until a preset stopping optimization condition is met. Optimization is then stopped, and the optimized power transmission scheme is used as the target power transmission scheme. Finally, inter-provincial power dispatching is performed according to the target power transmission scheme. This application's embodiments accurately calculate the total power generation and total power consumption of the first and second target provinces through a power structure model and a power consumption characteristic model, comprehensively understanding the power supply and demand situation of the two provinces, laying the foundation for formulating an inter-provincial power mutual assistance scheme. Furthermore, based on the inter-provincial power exchange demand output by the model, a preliminary power transmission scheme is formulated, providing an initial framework for subsequent optimization and adjustments, and ensuring the feasibility and basic rationality of the power dispatch scheme. Finally, using the power transmission constraint model and the optimal dispatch model, the power transmission scheme is continuously optimized to ensure that the scheme achieves the optimal state of highest transmission efficiency and lowest cost while meeting constraints such as transmission line capacity and voltage stability. This improves the reliability and economy of power transmission, effectively alleviates the power shortage problem, minimizes the risk of power outages, and ensures the continuity of residential life and industrial production. Attached Figure Description

[0054] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0055] Figure 1 This paper illustrates a flowchart of an inter-provincial power dispatching method provided in an embodiment of this application.

[0056] Figure 2 This illustration shows a power mutual assistance demand simulation diagram of an inter-provincial power dispatching method provided in an embodiment of this application;

[0057] Figure 3 This illustration shows a schematic diagram of power supply and demand balance analysis for an inter-provincial power dispatching method provided in an embodiment of this application;

[0058] Figure 4 This paper shows a schematic diagram of the structure of an inter-provincial power dispatching system provided in an embodiment of this application;

[0059] Figure 5 A schematic diagram of the device structure of a computer device provided in an embodiment of this application is shown. Detailed Implementation

[0060] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0061] Those skilled in the art will understand that, unless specifically stated otherwise, the singular forms “a,” “an,” “the,” and “the” used herein may also include the plural forms. It should be further understood that the word “comprising” as used in the specification of this application means the presence of the stated features, integers, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0062] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this application pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless specifically defined as herein.

[0063] Those skilled in the art will understand that the term "terminal" as used herein includes both devices that are wireless signal receivers, devices that are wireless signal receivers without transmitting capability, and devices with receiving and transmitting hardware, having receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. Such devices may include: cellular or other communication devices having a single-line display, a multi-line display, or a cellular or other communication device without a multi-line display; PCS (Personal Communications Service) that can combine voice, data processing, fax, and / or data communication capabilities; PDA (Personal Digital Assistant) that may include a radio frequency receiver, pager, Internet / intranet access, web browser, notepad, calendar, and / or GPS (Global Positioning System) receiver; and conventional laptop and / or handheld computers or other devices that have and / or include a radio frequency receiver. As used herein, "terminal" can be portable, transportable, installed in a means of transportation (air, sea, and / or land), or suitable and / or configured to operate locally, and / or in a distributed manner, operating in any other location on Earth and / or in space. "Terminal" as used herein can also be a communication terminal, an internet access terminal, or a music / video playback terminal, such as a PDA, a MID (Mobile Internet Device), and / or a mobile phone with music / video playback capabilities, or a smart TV, set-top box, etc.

[0064] With economic development and population growth, electricity demand is expected to continue to increase. In the event of extreme weather or other emergencies, such as typhoons, torrential rains, extreme heat waves, or cold waves, a single province's power system may struggle to cope independently, urgently requiring power support and peak-shaving cooperation from neighboring provinces. For example, during the summer heatwave, electricity demand surges in Jiangsu and Zhejiang, while Anhui may have abundant hydropower resources. Inter-provincial power sharing can optimize resource allocation and ensure the stability of regional power supply. Existing electricity market mechanisms and policies primarily focus on intra-provincial electricity markets, lacking effective coordination mechanisms and incentives for inter-provincial power sharing. The optimal allocation of inter-provincial power resources and market-based collaborative pathways are difficult to implement effectively, impacting the overall efficiency and effectiveness of power sharing. To address these challenges, it is necessary to establish sound methods for determining inter-provincial power dispatch schemes to improve the utilization efficiency and security of regional power resources and ensure the stability and economy of power supply.

[0065] This application uses the Yangtze River Delta region as an example. The region's power supply primarily relies on traditional thermal and hydropower, but in recent years, the proportion of renewable energy sources such as wind and solar power has gradually increased. Significant differences exist in the power structure across different provinces and cities. The progress and priorities of power development also vary, leading to differences in the distribution and utilization efficiency of power resources within the region. Power demand in the Yangtze River Delta region exhibits significant seasonal fluctuations, and extreme weather events are frequent. Existing technological solutions lack effective cross-provincial coordinated dispatch strategies to address these seasonal fluctuations and emergencies, failing to guarantee the stability and security of the regional power system. In extreme weather or emergency situations, a single province's power system cannot cope independently, urgently requiring inter-provincial power mutual assistance and support. Existing grid transmission capacity and power dispatch strategies face significant challenges in cross-provincial power mutual assistance. Due to limitations in grid infrastructure and dispatch mechanisms, existing technologies struggle to achieve efficient inter-provincial power transmission and flexible dispatch, resulting in restricted flow of power resources between provinces and affecting the effectiveness and efficiency of power mutual assistance. This application's embodiments, through systematic analysis and evaluation methods, overcome the aforementioned deficiencies of the prior art, and provide a research and evaluation method for a market-oriented collaborative path for inter-provincial power mutual assistance in the Yangtze River Delta, thereby improving the utilization efficiency and security of regional power resources and ensuring the stability of power supply.

[0066] This application provides an inter-provincial power dispatching method, such as... Figure 1 As shown, the method includes:

[0067] 101. Calculate the first total power generation and the first total electricity consumption corresponding to the first target province using the power structure model and the electricity consumption characteristic model, and calculate the second total power generation and the second total electricity consumption corresponding to the second target province.

[0068] In this embodiment, technicians first need to construct the required power structure model, electricity consumption characteristic model, inter-provincial power exchange demand model, power transmission constraint model, optimal dispatch model, and economic evaluation model. Through these models, technicians can accurately assess the power supply and demand situation in each province, identify potential demand and transmission bottlenecks in inter-provincial power exchange, and then formulate the optimal power dispatch plan. This ensures the rational flow of power resources within the region and improves the overall stability of power supply.

[0069] This application uses the Yangtze River Delta region as an example. The Yangtze River Delta region includes multiple provinces and municipalities. In this step, the inter-provincial power dispatching system first collects power supply and demand data from each province and municipality in the Yangtze River Delta region. Through real-time data monitoring, it dynamically acquires the power generation and consumption parameters of each province. Then, based on the power generation capacity and power demand of each province and municipality, the system performs a matching analysis of power supply and demand to determine which provinces and municipalities have a power surplus (power generation exceeds consumption) and which have a power deficit (consumption exceeds generation). Furthermore, considering factors such as the geographical location between provinces, the availability of power transmission lines, the adequacy of transmission capacity, and transmission costs, it selects the first and second target provinces. In actual operation, it can also prioritize provinces with cooperative foundations or policy support as the first and second target provinces. Next, the system needs to design power dispatching schemes for the first and second target provinces. Specifically, the system first acquires the first power generation parameter corresponding to the first target province and the second power generation parameter corresponding to the second target province. The power generation parameters include the power generation corresponding to multiple power sources; the power sources for each province and municipality are different, and the specific number of power generation parameters also varies. It should be noted that power sources include, but are not limited to, thermal power, hydropower, wind power, nuclear power, and solar power. The power generation corresponding to these power sources can be directly obtained from the power system databases of each province, government energy statistical reports, or databases provided by power companies. If the power generation of certain energy sources exhibits seasonal or time-of-day fluctuations, statistical analysis and forecasting based on historical data are necessary. For example, wind and solar power generation is typically affected by meteorological conditions and requires estimation based on meteorological forecasting models. Next, the system inputs the first and second power generation parameters into the power structure model for calculation, obtaining the first and second total power generation output by the power structure model. The power structure model is represented by the following formula 1.

[0070] Formula 1:

[0071] Among them, P i P represents the total power generation of province i; i,j This represents the power generation of the j-th type of power source in the i-th province; n represents the number of power source types.

[0072] Furthermore, the first electricity consumption parameter corresponding to the first target province and the second electricity consumption parameter corresponding to the second target province are obtained. These electricity consumption parameters include basic electricity consumption, seasonal electricity consumption fluctuations, daily peak electricity consumption fluctuations, and the total electricity consumption at each time point. It should be noted that these data can typically be obtained from statistical data from institutions such as the National Bureau of Statistics, provincial power companies, and electricity market operators. Annual electricity demand reports and monthly electricity load curves are the main data sources. In addition, if direct daily variation data is unavailable, daily peak and valley electricity consumption fluctuations can be estimated through time series analysis of historical electricity consumption data, or the growth trend of electricity demand can be predicted through regression analysis and other methods. Next, the first and second electricity consumption parameters are input into the electricity consumption characteristic model for calculation, obtaining the first and second total electricity consumption output by the model. The electricity consumption characteristic model is represented by the following formula 2.

[0073] Formula 2: D i (t)=D i,base +D i,season (t)+D i,peak (t)

[0074] Among them, D i (t) represents the total electricity consumption of the i-th province at time t, D i,base D represents basic electricity consumption. i,season (t) represents seasonal fluctuations in electricity consumption, D i,peak (t) represents the daily peak electricity consumption fluctuation.

[0075] In this embodiment of the application, by accurately calculating the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption, data support is provided for formulating more precise power dispatch strategies, ensuring the rational flow of power resources between provinces, effectively alleviating the contradiction between power supply and demand, improving the overall stability and security of the power system in the Yangtze River Delta region, and providing strong protection for coping with seasonal fluctuations and emergencies.

[0076] 102. Input the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption into the inter-provincial power mutual assistance demand model to obtain the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model.

[0077] In this step, the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into the inter-provincial power mutual assistance demand model. Based on the inter-provincial power mutual assistance demand model, the first difference between the first total electricity consumption and the first total power generation, and the second difference between the second total electricity consumption and the second total power generation are calculated. It should be noted that the first difference represents the power shortage corresponding to the first target province; a positive value indicates a need for additional power, and a negative value indicates a surplus. Similarly, the second difference represents the power shortage corresponding to the first target province; a positive value indicates a need for additional power, and a negative value indicates a surplus. Next, the first difference is compared with a preset value. If the first difference is greater than the preset value, the first difference is selected as the first value to be calculated; otherwise, the preset value is selected as the first value to be calculated. The second difference is then compared with the preset value. If the second difference is greater than the preset value, the second difference is selected as the second value to be calculated; otherwise, the preset value is selected as the second value to be calculated. Furthermore, the difference between the first and second calculated values ​​is taken as the inter-provincial power mutual assistance demand between the first and second target provinces. This mutual assistance demand reflects a key indicator of inter-provincial power supply and demand balance. Accurate calculation can effectively guide the optimal allocation of power resources, ensuring sufficient power supply in each province during peak hours and avoiding resource waste during off-peak hours, thereby improving the overall operating efficiency and reliability of the power system. The precise determination of the mutual assistance demand not only helps alleviate local power shortages but also promotes inter-regional power complementarity, achieving efficient resource utilization and providing a solid energy guarantee for the sustained and healthy economic development of the Yangtze River Delta region. The inter-provincial power mutual assistance demand model is expressed as shown in Formula 3 below.

[0078] Formula 3: R i,j (t)=max(0,D i (t)-P i (t))-max(0,P j (t)-D j (t))

[0079] R i,j (t) represents the inter-provincial electricity demand from province i to province j at time t, D i (t) and D j (t) represent the electricity consumption of the i-th and j-th provinces, respectively, P i (t) and P j(t) represents the power generation of province i and province j, respectively. It should be noted that if the inter-provincial power exchange demand is positive, it indicates that the first target province needs to transfer surplus power to the second target province. Conversely, if the inter-provincial power exchange demand is negative, it indicates that the second target province needs to transfer surplus power to the first target province. This process aims to optimize resource allocation, ensure stable power supply, and improve the overall grid operating efficiency. Through accurate calculation and reasonable allocation, regional power balance is achieved, ensuring sustainable socio-economic development. In practice, it is necessary to monitor changes in power supply and demand in each province in real time, dynamically adjust the exchange strategy, and ensure data accuracy. Simultaneously, it is crucial to strengthen coordination and cooperation with neighboring provinces, establish an efficient information sharing mechanism to respond to emergencies, ensure flexible and efficient power dispatch, and maximize resource utilization efficiency.

[0080] 103. Construct an initial power transmission scheme based on the inter-provincial power mutual assistance demand, and continuously optimize the initial power transmission scheme using the power transmission constraint model and the optimization scheduling model until the preset stopping optimization condition is met. Stop the optimization and take the optimized power transmission scheme as the target power transmission scheme.

[0081] In this step, based on the capacity and losses of the transmission lines, the maximum transmission capacity of each line can be accurately calculated to ensure transmission efficiency. Combined with real-time power supply and demand data, the transmission path and power allocation are dynamically adjusted to avoid line overload and ensure safe and stable power transmission. Through iterative optimization, the optimal transmission scheme is gradually approximated, ultimately achieving efficient allocation of power resources. Specifically, firstly, the target transmission path is determined based on the transmission line layout between the first and second target provinces. This target transmission path includes multiple transmission lines, which together constitute the inter-provincial power transmission channel. Next, the power transmission direction is determined based on the inter-provincial power mutual assistance demand between the first and second target provinces. The power mutual assistance demand reflects the difference in power supply and demand between the two provinces; the transmission direction determined based on this ensures the rational flow of power and meets the corresponding electricity demand. Furthermore, based on the inter-provincial power mutual assistance demand and the corresponding capacity of each transmission line, an initial transmission power is allocated to each transmission line to obtain an initial transmission scheme. This scheme preliminarily plans the tasks of each transmission line in power transmission and serves as the basis for subsequent optimization. Furthermore, an economic evaluation model is used to evaluate the initial power transmission scheme, generating evaluation results. The economic evaluation model is expressed as shown in Formula 4 below.

[0082] Formula 4: C i,j (t)=P i,j (t)·(π j (t)-π i (t))

[0083] Among them, C i,j(t) represents the cost or benefit of electricity trading from province i to province j at time t, P i,j (t) represents the electric force of the transaction, π i (t) and π j (t) represent the electricity prices of provinces i and j, respectively. When the evaluation results do not meet the stopping optimization condition, the initial power transmission scheme is optimized using an optimal scheduling model. Simultaneously, the power transmission volume corresponding to the power transmission scheme is calculated based on the transmission power corresponding to each transmission line, and an optimal power transmission constraint model is used to effectively constrain the power transmission volume, ensuring that the power transmission volume corresponding to the power transmission scheme is less than or equal to the maximum transmission capacity corresponding to the power transmission direction. This yields the optimized power transmission scheme, where the optimal scheduling model is expressed as shown in Formula 5 below.

[0084] Formula 5:

[0085] Where T represents the total number of scheduling periods and N represents the total number of provinces. The power transmission constraint model is expressed as shown in Formula 6 below.

[0086] Formula 6: T i,j (t)≤T i,j,max

[0087] Among them, T i,j (t) represents the amount of electricity transmitted from province i to province j at time t, where T i,j,max This represents the maximum transmission capacity from province i to province j. Next, the optimized power transmission scheme is continuously evaluated using an economic evaluation model, generating new evaluation results. If the evaluation results indicate that the scheme still needs optimization, the optimal scheduling model and power transmission constraint model are used to further optimize the scheme. After each optimization, the economic evaluation model is used again for evaluation, and this process is repeated until the evaluation results output by the economic evaluation model meet the stopping optimization condition. It should be noted that the target power transmission scheme encompasses several key details, including but not limited to the power transmission path, the transmission power of each transmission line, and the transmission time. These details together constitute a complete, reasonable, and efficient inter-provincial power transmission scheme.

[0088] Through the above steps, the process of constructing and optimizing inter-provincial power transmission schemes can be carried out systematically. From determining the initial scheme to economic evaluation, and then to continuous optimization, the optimal power transmission scheme is finally determined. This process not only considers the balance of power supply and demand, but also takes into account economic efficiency and transmission constraints, ensuring the efficient utilization and safe transmission of power resources.

[0089] 104. Conduct inter-provincial power dispatching in accordance with the target power transmission plan.

[0090] In this step, after determining the target power transmission scheme, the dispatching system is activated through the power dispatching center, and the relevant parameters of the target power transmission scheme are input to ensure that the system executes according to the predetermined plan. Simultaneously, a real-time monitoring system is used to continuously monitor the operating status of transmission lines, including factors such as voltage, current, and power, to ensure that the transmission lines operate within safe limits. Based on the target power transmission scheme, power transmission instructions are sent to the relevant transmission lines to adjust the power generation of power plants and the transmission power of substations, ensuring that power is transmitted along the predetermined path and at the predetermined power level. During power transmission, in case of emergencies such as transmission line faults or sudden changes in electricity demand, the power transmission scheme is adjusted promptly, and backup schemes are activated to ensure the continuity and reliability of power supply. During power transmission, the economy and efficiency of power transmission are evaluated in real time to ensure that the economic objectives of the power dispatching scheme are achieved. After the predetermined transmission period ends, the power dispatching task is completed, power transmission instructions are stopped, and the normal operating status of the transmission lines is restored. The entire power dispatching process is summarized and evaluated to analyze whether the expected objectives, such as power supply and demand balance, transmission line utilization rate, and economic efficiency, have been achieved, providing a reference for future optimization.

[0091] Taking the Yangtze River Delta region as an example, during actual operation, power system data of various provinces and cities in the Yangtze River Delta region are collected, including information such as power supply structure, electricity consumption characteristics, seasonal and daily electricity consumption, and grid transmission capacity, as shown in Tables 1 and 2 below.

[0092] Table 1. Power structure data for provinces and cities in the Yangtze River Delta region (unit: GW)

[0093]

[0094] Table 2. Electricity Consumption Characteristics Data of Provinces and Cities in the Yangtze River Delta Region (Unit: GW)

[0095]

[0096] Next, based on the collected data, simulation analysis was conducted using the constructed power structure model, power consumption characteristic model, and power mutual assistance demand model. The results are as follows: Figure 2 As shown in the figure, the power supply and demand between provinces and cities over a certain period of time is displayed. The red arrows indicate the direction of power flow, and the thickness of the arrows indicates the amount of power transmitted. Through simulation, the power supply and demand balance and mutual assistance effect in each province and city are analyzed, verifying the effectiveness of the model. The analysis results are as follows: Figure 3 As shown in Table 3, the graph illustrates the power supply and demand situation in various provinces and cities at different time periods. The red area represents power shortage, and the green area represents power surplus.

[0097] Table 3. Economic Assessment Results of Power Mutual Aid in the Yangtze River Delta Region (Unit: RMB 10,000)

[0098]

[0099] The data and charts above demonstrate the demand and effectiveness of inter-provincial power sharing in the Yangtze River Delta region. During extreme weather or peak load periods, power sharing can effectively alleviate power supply pressures on various provinces and cities, ensuring the stability and security of the power system. Furthermore, economic assessments show that inter-provincial power sharing can reduce overall operating costs and improve resource utilization efficiency.

[0100] The method provided in this application first calculates the first total power generation and the first total electricity consumption of the first target province using a power structure model and an electricity consumption characteristic model, and then calculates the second total power generation and the second total electricity consumption of the second target province. Next, the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into an inter-provincial power mutual assistance demand model to obtain the inter-provincial power mutual assistance demand between the first and second target provinces, output by the model. Further, an initial power transmission scheme is constructed based on the inter-provincial power mutual assistance demand, and the initial power transmission scheme is continuously optimized using a power transmission constraint model and an optimization scheduling model until a preset stopping optimization condition is met. Optimization is then stopped, and the optimized power transmission scheme is used as the target power transmission scheme. Finally, inter-provincial power dispatch is performed according to the target power transmission scheme. This application embodiment accurately calculates the total power generation and total electricity consumption of the first and second target provinces through a power structure model and an electricity consumption characteristic model, comprehensively understanding the power supply and demand situation of the two provinces, laying the foundation for formulating an inter-provincial power mutual assistance scheme. Furthermore, based on the inter-provincial power exchange demand output by the model, a preliminary power transmission scheme is formulated, providing an initial framework for subsequent optimization and adjustments, and ensuring the feasibility and basic rationality of the power dispatch scheme. Finally, using the power transmission constraint model and the optimal dispatch model, the power transmission scheme is continuously optimized to ensure that the scheme achieves the optimal state of highest transmission efficiency and lowest cost while meeting constraints such as transmission line capacity and voltage stability. This improves the reliability and economy of power transmission, effectively alleviates the power shortage problem, minimizes the risk of power outages, and ensures the continuity of residential life and industrial production.

[0101] Furthermore, as Figure 1 To specifically implement the method, this application provides an inter-provincial power dispatching system, such as... Figure 4 As shown, the system includes: a calculation module 401, an acquisition module 402, an optimization module 403, and a scheduling module 404.

[0102] The calculation module 401 is used to calculate the first total power generation and the first total electricity consumption corresponding to the first target province using the power structure model and the electricity consumption characteristic model, and to calculate the second total power generation and the second total electricity consumption corresponding to the second target province.

[0103] The acquisition module 402 is used to input the first total power generation, the second total power generation, the first total electricity consumption and the second total electricity consumption into the inter-provincial power mutual assistance demand model, and obtain the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model.

[0104] The optimization module 403 is used to construct an initial power transmission scheme based on the inter-provincial power mutual assistance demand, continuously optimize the initial power transmission scheme using a power transmission constraint model and an optimization scheduling model until a preset stop optimization condition is reached, then stop optimization and use the optimized power transmission scheme as the target power transmission scheme.

[0105] The scheduling module 404 is used to perform inter-provincial power scheduling according to the target power transmission scheme.

[0106] In a specific application scenario, the calculation module 401 is used to obtain a first power generation parameter and a second power generation parameter. The first power generation parameter includes the power generation of each type of power source corresponding to the first target province, and the second power generation parameter includes the power generation of each type of power source corresponding to the second target province. The power sources include, but are not limited to, thermal power, hydropower, wind power, and solar power. The first power generation parameter and the second power generation parameter are respectively input into the power structure model for calculation to obtain a first total power generation and a second total power generation output by the power structure model. The power structure model is represented as follows:

[0107] P i P represents the total power generation of province i; i,j This represents the power generation of the j-th type of power source in the i-th province; n represents the number of power source types.

[0108] In a specific application scenario, the calculation module 401 is used to obtain a first electricity consumption parameter corresponding to the first target province and a second electricity consumption parameter corresponding to the second target province. The electricity consumption parameters include basic electricity consumption, seasonal electricity consumption fluctuations, daily peak electricity consumption fluctuations, and the total electricity consumption at each time point. The first electricity consumption parameter and the second electricity consumption parameter are respectively input into the electricity consumption feature model for calculation, obtaining the first total electricity consumption and the second total electricity consumption output by the electricity consumption feature model. The electricity consumption feature model is represented as follows:

[0109] D i (t)=D i,base +D i,season (t)+D i,peak (t); D i(t) represents the total electricity consumption of the i-th province at time t, D i,base D represents basic electricity consumption. i,season (t) represents seasonal fluctuations in electricity consumption, D i,peak (t) represents the daily peak electricity consumption fluctuation.

[0110] In a specific application scenario, the acquisition module 402 is used to input the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption into the inter-provincial power mutual assistance demand model; calculate a first difference between the first total electricity consumption and the first total power generation based on the inter-provincial power mutual assistance demand model; calculate a second difference between the second total electricity consumption and the second total power generation; compare the first difference with a preset value; if the first difference is greater than the preset value, select the first difference as the first value to be calculated; otherwise, select the preset value as the first value to be calculated; compare the second difference with the preset value; if the second difference is greater than the preset value, select the second difference as the second value to be calculated; otherwise, select the preset value as the second value to be calculated; and use the difference between the first value to be calculated and the second value to be calculated as the inter-provincial power mutual assistance demand between the first target province and the second target province; wherein, the inter-provincial power mutual assistance demand model is expressed as:

[0111] R i,j (t)=max(0,D i (t)-P i (t))-max(0,P j (t)-D j (t)); R i,j (t) represents the inter-provincial electricity demand from province i to province j at time t, D i (t) and D j (t) represent the electricity consumption of the i-th and j-th provinces, respectively, P i (t) and P j (t) represents the power generation of the i-th and j-th provinces, respectively.

[0112] In a specific application scenario, the optimization module 403 is used to determine the target transmission path based on the power transmission line layout between the first target province and the second target province, wherein the target transmission path corresponds to multiple power transmission lines; determine the power transmission direction based on the inter-provincial power mutual assistance demand between the first target province and the second target province; and allocate initial transmission power to each power transmission line based on the inter-provincial power mutual assistance demand and the capacity corresponding to each power transmission line, thereby obtaining the initial transmission scheme.

[0113] In a specific application scenario, the optimization module 403 is used to evaluate the initial power transmission scheme using an economic evaluation model and generate evaluation results; wherein, the economic evaluation model is expressed as:

[0114] C i,j (t)=P i,j (t)·(π j (t)-π i (t)); C i,j (t) represents the cost or benefit of electricity trading from province i to province j at time t, P i,j (t) represents the electric force of the transaction, π i (t) and π j (t) represent the electricity prices of provinces i and j, respectively; when the evaluation result does not meet the stopping optimization condition, the initial power transmission scheme is optimized using the optimization scheduling model, and the power transmission amount corresponding to the power transmission scheme is constrained using the power transmission constraint model to obtain the optimized power transmission scheme, wherein the optimization scheduling model is expressed as:

[0115] Where T represents the total number of scheduling periods and N represents the total number of provinces;

[0116] The optimized power transmission scheme is continuously evaluated using the economic evaluation model, and evaluation results are generated. When the evaluation results indicate that the scheme needs to be optimized, the optimized scheduling model and the power transmission constraint model are used to optimize the power transmission scheme again. The optimized power transmission scheme is evaluated again using the economic evaluation model until the evaluation results output by the economic evaluation model reach the stop optimization condition.

[0117] In a specific application scenario, the optimization module 403 is used to determine multiple transmission lines corresponding to the power transmission scheme and to determine the transmission power corresponding to each transmission line; to calculate the power transmission amount corresponding to the power transmission scheme based on the transmission power corresponding to each transmission line; and to constrain the power transmission amount using the power transmission constraint model so that the power transmission amount corresponding to the power transmission scheme is less than or equal to the maximum transmission capacity corresponding to the power transmission direction; the power transmission constraint model is expressed as:

[0118] T i,j (t)≤T i,j,max Among them, T i,j (t) represents the amount of electricity transmitted from province i to province j at time t, where T i,j,max This represents the maximum transmission capacity from province i to province j.

[0119] The apparatus provided in this application first calculates the first total power generation and the first total electricity consumption corresponding to the first target province using a power structure model and an electricity consumption characteristic model, and then calculates the second total power generation and the second total electricity consumption corresponding to the second target province. Next, the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into an inter-provincial power mutual assistance demand model to obtain the inter-provincial power mutual assistance demand between the first and second target provinces, output by the inter-provincial power mutual assistance demand model. Further, an initial power transmission scheme is constructed based on the inter-provincial power mutual assistance demand, and the initial power transmission scheme is continuously optimized using a power transmission constraint model and an optimization scheduling model until a preset stopping optimization condition is met. Optimization is then stopped, and the optimized power transmission scheme is used as the target power transmission scheme. Finally, inter-provincial power dispatch is performed according to the target power transmission scheme. This application embodiment accurately calculates the total power generation and total electricity consumption of the first and second target provinces through a power structure model and an electricity consumption characteristic model, comprehensively understanding the power supply and demand situation of the two provinces, laying the foundation for formulating an inter-provincial power mutual assistance scheme. Furthermore, based on the inter-provincial power exchange demand output by the model, a preliminary power transmission scheme is formulated, providing an initial framework for subsequent optimization and adjustments, and ensuring the feasibility and basic rationality of the power dispatch scheme. Finally, using the power transmission constraint model and the optimal dispatch model, the power transmission scheme is continuously optimized to ensure that the scheme achieves the optimal state of highest transmission efficiency and lowest cost while meeting constraints such as transmission line capacity and voltage stability. This improves the reliability and economy of power transmission, effectively alleviates the power shortage problem, minimizes the risk of power outages, and ensures the continuity of residential life and industrial production.

[0120] It should be noted that other corresponding descriptions of the functional units involved in the copper smelting slag slow cooling field scheduling device provided in this application embodiment can be found in the following references. Figure 1 and Figure 2 The corresponding description in [the document] will not be repeated here.

[0121] To address the aforementioned technical problems, embodiments of the present invention also provide a computer device. Please refer to [link / reference needed]. Figure 5 , Figure 5 This is a basic structural block diagram of the computer device in this embodiment.

[0122] like Figure 5The diagram shows the internal structure of a computer device. The computer device includes a processor, non-volatile storage medium, memory, and a network interface connected via a system bus. The non-volatile storage medium stores the operating system, database, and computer-readable instructions. The database may store control information sequences. When the computer-readable instructions are executed by the processor, they enable the processor to implement a data relationship reconstruction method. The processor provides computing and control capabilities, supporting the operation of the entire computer device. The memory stores computer-readable instructions, which, when executed by the processor, enable the processor to implement a data relationship reconstruction method. The network interface of the computer device is used for communication with a terminal. Those skilled in the art will understand that… Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0123] In this embodiment, the processor is used to execute... Figure 4 The specific functions of the calculation module 301, acquisition module 302, optimization module 303, and scheduling module 304 are described. The memory stores the program code and various types of data required to execute the above modules. The network interface is used for data transmission between the user terminal and the server. In this embodiment, the memory stores the program code and data required to execute all sub-modules in the data relationship reconstruction device, and the server can call the server's program code and data to execute the functions of all sub-modules.

[0124] The present invention also provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the data relationship reconstruction method of any of the above embodiments.

[0125] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).

[0126] The present invention also provides a storage medium storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to perform the steps of the data relationship reconstruction method of any of the above embodiments.

[0127] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. The aforementioned storage medium can be a non-volatile storage medium such as a magnetic disk, optical disk, or read-only memory (ROM), or random access memory (RAM).

[0128] Those skilled in the art will understand that the steps, measures, and solutions in the various operations, methods, and processes discussed in this application can be alternated, modified, combined, or deleted. Furthermore, other steps, measures, and solutions in the various operations, methods, and processes discussed in this application can also be alternated, modified, rearranged, decomposed, combined, or deleted. Furthermore, steps, measures, and solutions in the prior art that are similar to those disclosed in this application can also be alternated, modified, rearranged, decomposed, combined, or deleted.

[0129] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for inter-provincial power dispatching, characterized in that, include: The first total power generation and the first total electricity consumption of the first target province are calculated using a power structure model and an electricity consumption characteristic model, and the second total power generation and the second total electricity consumption of the second target province are also calculated. The first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into the inter-provincial power mutual assistance demand model to obtain the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model. An initial power transmission scheme is constructed based on the inter-provincial power mutual assistance demand. The initial power transmission scheme is continuously optimized using a power transmission constraint model and an optimization scheduling model until a preset stopping optimization condition is met. The optimization is then stopped, and the optimized power transmission scheme is taken as the target power transmission scheme. Inter-provincial power dispatching shall be carried out in accordance with the target power transmission scheme.

2. The method according to claim 1, characterized in that, The power structure model is used to calculate the first total power generation corresponding to the first target province and the second total power generation corresponding to the second target province, including: Obtain a first power generation parameter and a second power generation parameter, wherein the first power generation parameter includes the power generation of each power source corresponding to the first target province, and the second power generation parameter includes the power generation of each power source corresponding to the second target province, wherein the power sources include, but are not limited to, thermal power, hydropower, wind power and solar power. The first power generation parameter and the second power generation parameter are respectively input into the power structure model for calculation to obtain the first total power generation and the second total power generation output by the power structure model, wherein the power structure model is represented as follows: P i P represents the total power generation of province i; i,j This represents the power generation of the j-th type of power source in the i-th province; n represents the number of power source types.

3. The method according to claim 1, characterized in that, The electricity consumption characteristic model is used to calculate the first total electricity consumption corresponding to the first target province and the second total electricity consumption corresponding to the second target province, including: Obtain the first electricity consumption parameter corresponding to the first target province and the second electricity consumption parameter corresponding to the second target province. The electricity consumption parameter includes basic electricity consumption, seasonal electricity consumption fluctuation, daily peak electricity consumption fluctuation and total electricity consumption at each time. The first power consumption parameter and the second power consumption parameter are respectively input into the power consumption characteristic model for calculation, and the first total power consumption and the second total power consumption output by the power consumption characteristic model are obtained, wherein the power consumption characteristic model is represented as: D i (t)=D i,base +D i,season (t)+D i,peak (t); D i (t) represents the total electricity consumption of the i-th province at time t, D i,base D represents basic electricity consumption. i,season (t) represents seasonal fluctuations in electricity consumption, D i,peak (t) represents the daily peak electricity consumption fluctuation.

4. The method according to claim 1, characterized in that, The step of inputting the first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption into the inter-provincial power mutual assistance demand model, and obtaining the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model, includes: The first total power generation, the second total power generation, the first total electricity consumption, and the second total electricity consumption are input into the inter-provincial power mutual assistance demand model. Based on the inter-provincial power mutual assistance demand model, the first difference between the first total electricity consumption and the first total power generation is calculated, and the second difference between the second total electricity consumption and the second total power generation is calculated. The first difference is compared with a preset value. If the first difference is greater than the preset value, the first difference is selected as the first value to be calculated; otherwise, the preset value is selected as the first value to be calculated. The second difference is compared with the preset value. If the second difference is greater than the preset value, the second difference is selected as the second value to be calculated; otherwise, the preset value is selected as the second value to be calculated. The difference between the first value to be calculated and the second value to be calculated is taken as the inter-provincial power mutual assistance demand between the first target province and the second target province. The inter-provincial power mutual assistance demand model is expressed as follows: R i,j (t)=max(0,D i (t)-P i (t))-max(0,P j (t)-D j (t)); R i,j (t) represents the inter-provincial electricity demand from province i to province j at time t, D i (t) and D j (t) represent the electricity consumption of the i-th and j-th provinces, respectively, P i (t) and P j (t) represents the power generation of the i-th and j-th provinces, respectively.

5. The method according to claim 1, characterized in that, The initial power transmission scheme, constructed based on the inter-provincial power exchange demand, includes: Based on the power transmission line layout between the first target province and the second target province, a target transmission path is determined, and the target transmission path corresponds to multiple power transmission lines; Based on the inter-provincial power exchange demand between the first target province and the second target province, the power transmission direction is determined, and based on the inter-provincial power exchange demand and the capacity corresponding to each transmission line, an initial transmission power is allocated to each transmission line to obtain the initial transmission scheme.

6. The method according to claim 5, characterized in that, The continuous optimization of the initial power transmission scheme using the power transmission constraint model and the optimal scheduling model until a preset stopping optimization condition is met includes: An economic evaluation model is used to evaluate the initial power transmission scheme, and evaluation results are generated. The economic evaluation model is expressed as follows: C i,j (t)=P i,j (t)·(π j (t)-π i (t)); C i,j (t) represents the cost or benefit of electricity trading from province i to province j at time t, P i,j (t) represents the electric force of the transaction, π i (t) and π j (t) represent the electricity prices in the i-th and j-th provinces, respectively; When the evaluation result does not meet the stopping optimization condition, the initial power transmission scheme is optimized using the optimized scheduling model, and the power transmission amount corresponding to the power transmission scheme is constrained using the power transmission constraint model to obtain the optimized power transmission scheme. The optimized scheduling model is expressed as follows: Where T represents the total number of scheduling periods, and N represents the total number of provinces; The optimized power transmission scheme is continuously evaluated using the economic evaluation model, and evaluation results are generated. When the evaluation results indicate that the scheme needs to be optimized, the optimized scheduling model and the power transmission constraint model are used to optimize the power transmission scheme again. The optimized power transmission scheme is evaluated again using the economic evaluation model until the evaluation results output by the economic evaluation model reach the stop optimization condition.

7. The method according to claim 6, characterized in that, The power transmission amount corresponding to the power transmission scheme constrained by the power transmission constraint model includes: Identify the multiple transmission lines corresponding to the power transmission scheme, and determine the transmission power corresponding to each transmission line; The power transmission amount corresponding to the power transmission scheme is calculated based on the transmission power corresponding to each transmission line, and the power transmission amount is constrained by the power transmission constraint model so that the power transmission amount corresponding to the power transmission scheme is less than or equal to the maximum transmission capacity corresponding to the power transmission direction. The power transmission constraint model is expressed as follows: T i,j (t)≤T i,j,max ; Among them, T i,j (t) represents the amount of electricity transmitted from province i to province j at time t, where T i,j,max This represents the maximum transmission capacity from province i to province j.

8. An inter-provincial power dispatching system, characterized in that, include: The calculation module is used to calculate the first total power generation and the first total electricity consumption corresponding to the first target province using the power structure model and the electricity consumption characteristic model, and to calculate the second total power generation and the second total electricity consumption corresponding to the second target province. The acquisition module is used to input the first total power generation, the second total power generation, the first total electricity consumption and the second total electricity consumption into the inter-provincial power mutual assistance demand model, and obtain the inter-provincial power mutual assistance demand between the first target province and the second target province output by the inter-provincial power mutual assistance demand model. The optimization module is used to construct an initial power transmission scheme based on the inter-provincial power mutual assistance demand, continuously optimize the initial power transmission scheme using a power transmission constraint model and an optimization scheduling model until a preset stop optimization condition is reached, then stop optimization and use the optimized power transmission scheme as the target power transmission scheme. The scheduling module is used to perform inter-provincial power dispatching according to the target power transmission scheme.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 7.

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