Electricity purchase structure optimization analysis method based on quantity-price space constraint

Abstract

The invention relates to an electricity purchasing structure optimization analysis method based on quantity-price space constraint. According to the obtained planned total electricity consumption of the current quarter, the energy type of the geographic position where the current electricity purchasing user is located, the time period corresponding to the current quarter, the total average price of the national electricity price, the energy type and a corresponding compensation coefficient obtained by the time period are obtained; obtaining a preliminary electricity purchasing structure distribution scheme and a preliminary total cost; the analysis and calculation module is used for carrying out iterative optimization on the total initial cost until the total initial cost is smaller than the total standard cost, and the factors that the energy types of the main power generation bodies and the power generation amount of the power generation main bodies corresponding to the regions where the different power purchase users are located change along with time are considered, so that the proportions of different power purchase types are obtained; and the overall cost does not exceed the standard total cost, the obtained preliminary electricity purchasing structure distribution scheme conforms to the actual situation of the electricity purchasing user, and an accurate and effective reference is provided for electricity purchasing.

Description

Technical Field

[0001] The present application relates to the field of data analysis technology, and in particular to a method for optimizing and analyzing electricity purchase structure based on quantity, price and space constraints. Background Art

[0002] The components of electricity purchased by power companies from various power generation entities include short-term electricity purchases from outside the province, long-term electricity purchases from outside the province, thermal power purchases within the province (low-price units, medium-price units, high-price units), hydropower purchases, and other purchases (wind power and solar energy); judging from the different electricity purchase components of companies in various provinces, compared with the overall average price of electricity in the country, the thermal power purchase prices within each province are slightly higher than the overall average price; the long-term electricity purchase prices from outside the province have small fluctuations and good stability; the short-term electricity purchase prices from outside the province are usually higher; the hydropower purchase prices in provinces that are mainly hydropower generation are lower than the overall average price, but due to the influence of the annual flood season and dry season, the electricity price fluctuation trend is obvious; the electricity prices of other components of provinces that are mainly new energy such as wind power and solar energy are lower than the overall average price, but the power generation of new energy such as wind power and solar energy is affected by the weather and the overall power generation, and there is a situation where they cannot meet the demand for electricity use.

[0003] In addition, the total amount of electricity purchased needs to be reduced in cost while ensuring the safe and stable operation of the power system. However, due to the different geographical locations and resources of different provinces and the fluctuations in the power generation of power generation entities over time, it is difficult for power companies in different provinces to quickly and effectively come up with power purchase plans, and to automatically adjust them according to the influencing factors, resulting in the total electricity cost being difficult to meet the maximum economic benefits. Summary of the invention

[0004] The embodiment of the present application provides a method for optimizing and analyzing the power purchase structure based on quantity-price-space constraints, so as to solve the problem in the related art that the different geographical locations and resources of different provinces and the fluctuation of the power generation of power generation entities over time make it difficult to quickly and effectively derive power purchase plans for power companies in different provinces.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for optimizing and analyzing the electricity purchase structure based on quantity, price and space constraints, comprising:

[0006] The first data acquisition module is used to acquire the total planned electricity consumption for the current quarter, as well as the geographical location of the current electricity purchasing user and the time period corresponding to the current quarter;

[0007] The second data acquisition module is used to obtain the overall average price of national electricity prices; the second data acquisition module is used in combination with the geographical location to obtain the energy type of the main power generation entity in the province corresponding to the current electricity purchase user, and then the corresponding compensation coefficient is obtained according to the energy type and the time period;

[0008] Using the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient, a preliminary electricity purchase structure allocation plan and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan are obtained;

[0009] The analysis and calculation module is used to iteratively optimize the preliminary total cost until the preliminary total cost is less than the standard total cost, so as to output the final electricity purchase structure allocation plan for the current quarter.

[0010] Further, the preliminary total cost is iteratively optimized using the analysis and calculation module until the preliminary total cost is less than the standard total cost, so as to output the final electricity purchase structure allocation plan for the current quarter, including the following steps:

[0011] Compare the preliminary total cost with the standard total cost; the standard total cost is calculated by the total planned electricity consumption and the overall average price;

[0012] If the total preliminary cost is greater than the total standard cost, the allocation model is used to adjust the preliminary power purchase structure allocation plan to obtain a new total preliminary cost, and then the process returns to the step of comparing the total preliminary cost with the total standard cost again;

[0013] Otherwise, the preliminary electricity purchase structure allocation plan will be used as the final electricity purchase structure allocation plan for the current quarter.

[0014] Furthermore, the method further comprises the following steps:

[0015] Before using the first data acquisition module to acquire the planned total power consumption of the current quarter, using the third data acquisition module to acquire the power consumption status of the previous quarter;

[0016] If the electricity consumption in the previous quarter does not exceed the electricity purchase structure allocation plan of the previous quarter, the remaining amount is calculated; then the planned total electricity consumption is subtracted from the remaining amount to obtain the final planned total electricity consumption for the current quarter.

[0017] Furthermore, the preliminary electricity purchase structure allocation plan includes the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases; the sum of the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases is 100%.

[0018] Further, utilizing the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient, a preliminary electricity purchase structure allocation plan and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan are obtained, including the following steps:

[0019] The electricity purchase structure allocation plan corresponding to the previous quarter is used as the initial plan, and then the initial allocation model is initialized according to the initial plan;

[0020] The compensation coefficient is then multiplied by the percentage of electricity purchased by the corresponding energy type to obtain a preliminary electricity purchase structure allocation plan;

[0021] According to the preliminary power purchase structure allocation plan and the planned total power consumption, the short-term power purchase from outside the province, the long-term power purchase from outside the province, the thermal power purchase from within the province, the hydropower purchase, and other power purchases are obtained;

[0022] The preliminary total cost is obtained based on the short-term electricity purchase volume and electricity purchase price from outside the province, the long-term electricity purchase volume and electricity purchase price from outside the province, the thermal power purchase volume and electricity purchase price within the province, the hydropower purchase volume and electricity purchase price, and other electricity purchase volumes and electricity purchase prices.

[0023] Furthermore, obtaining the corresponding compensation coefficient according to the energy type and the time period includes the following steps:

[0024] When the energy type is hydropower, it is determined whether the current time period is in the dry season;

[0025] If it is in the dry season, the compensation coefficient is the first coefficient; otherwise, it is the second coefficient; the second coefficient is greater than the first coefficient;

[0026] When the energy types are wind power and solar energy, the real-time total amount of wind power and solar energy of the main power generation entities in the province corresponding to the current electricity purchaser is obtained, as well as the initial proportion of other electricity purchases in the allocation model; then, based on the initial proportion of other electricity purchases, the planned total electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is derived; the third coefficient is used as the compensation coefficient.

[0027] Further, based on the initial proportion of other electricity purchases, the planned total electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is obtained, including the following steps:

[0028] The required amount of electricity for other purchases is obtained based on the planned total electricity consumption and the initial proportion of other purchases;

[0029] Use formula 1 to get the third coefficient;

[0030] Formula 1 is:

[0031] Furthermore, a display device is used to display the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases in the final electricity purchase structure allocation plan for the current quarter in the form of a bar graph, and the preliminary total cost is displayed.

[0032] Furthermore, the step of analyzing the final power purchase structure allocation plan for the next quarter is the same as the step of obtaining the final power purchase structure allocation plan for the current quarter.

[0033] Further, the first data acquisition module, the second data acquisition module and the third data acquisition module each include a data source interface, a data collector, a data cleaner, a data integrator, a data converter and a data transmitter;

[0034] The data source interface is used to connect to the data source, which includes databases, APIs, and web pages; the data collector is used to obtain data from the data source; the data cleaner is used to clean and correct the data; the data integrator is used to integrate data from different sources; the data converter is used to convert the format and structure of the integrated data; and the data transmitter is used to transmit the converted data.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] The present invention is based on the power purchase structure optimization analysis method of quantity-price space constraints, using a first data acquisition module to obtain the total planned electricity consumption in the current quarter, as well as the geographical location of the current power purchaser and the time period corresponding to the current quarter; using a second data acquisition module to obtain the overall average price of national electricity prices; using the second data acquisition module and combining the geographical location to obtain the energy type of the main power generation entity in the province corresponding to the current power purchaser, and then obtaining the corresponding compensation coefficient according to the energy type and the time period; using the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient to obtain a preliminary power purchase structure allocation plan, and a preliminary total cost corresponding to the preliminary power purchase structure allocation plan; using the analysis and calculation module to iteratively optimize the preliminary total cost until the preliminary total cost is less than the standard total cost, through the above method, considering the different energy types provided by the main power generation bodies corresponding to the regions where different power purchasers are located, and the factors that the power generation of the power generation entities changes over time, the proportion of different power purchase types is analyzed, and the overall cost is guaranteed. The obtained preliminary power purchase structure allocation plan meets the actual situation of the power purchasers and can be effectively used as a reference for procurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0038] Figure 1 The figure is a flow chart of a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0040] The embodiment of the present application provides a method for optimizing and analyzing the power purchasing structure based on quantity-price-space constraints to solve the problem in the related art that the different geographical locations and resources of different provinces and the fluctuation of power generation over time of power generation entities make it difficult to quickly and effectively derive power purchasing plans for power companies in different provinces.

[0041] Reference Figure 1 , a method for optimizing and analyzing the electricity purchasing structure based on quantity, price and space constraints, including:

[0042] Step 100: using the first data acquisition module to acquire the total planned electricity consumption for the current quarter, as well as the geographical location of the current electricity purchasing user and the time period corresponding to the current quarter;

[0043] Step 200: using the second data acquisition module to obtain the overall average price of national electricity prices; using the second data acquisition module and combining with the geographical location to obtain the energy type of the main power generation entity in the province corresponding to the current electricity purchaser, and then obtaining the corresponding compensation coefficient according to the energy type and time period;

[0044] Step 300: derive a preliminary electricity purchase structure allocation plan and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan by using the allocation model of the analysis and calculation module and combining the planned total electricity consumption, the overall average price and the compensation coefficient;

[0045] Step 400: Use the analysis and calculation module to iteratively optimize the preliminary total cost until the preliminary total cost is less than the standard total cost, so as to output the final electricity purchase structure allocation plan for the current quarter. The specific steps of step 400 are:

[0046] Step 400-1, compare the preliminary total cost with the standard total cost; the standard total cost is calculated by the planned total electricity consumption and the overall average price;

[0047] Step 400-2: If the preliminary total cost is greater than the standard total cost, the preliminary electricity purchase structure allocation plan is adjusted using the allocation model to obtain a new preliminary total cost, and then the process returns to the step of comparing the preliminary total cost with the standard total cost again;

[0048] Step 400 - 3: Otherwise, the preliminary electricity purchase structure allocation plan is used as the final electricity purchase structure allocation plan for the current quarter.

[0049] Through the above method, taking into account the different types of energy provided by the main power generation entities corresponding to different electricity purchasing users in their regions and the factors that the power generation of the power generation entities changes over time, the proportion of different electricity purchasing types was analyzed and the overall cost was guaranteed. The preliminary electricity purchasing structure allocation plan obtained is in line with the actual situation of the electricity purchasing users and can be effectively used as a reference for procurement.

[0050] In some embodiments, there is a situation where the electricity purchased in the previous quarter is not used up. In order to realize the utilization of the remaining electricity, the following settings are made:

[0051] Before using the first data acquisition module to acquire the planned total power consumption of the current quarter, using the third data acquisition module to acquire the power consumption status of the previous quarter;

[0052] If the electricity consumption in the previous quarter does not exceed the electricity purchase structure allocation plan of the previous quarter, the remaining amount is calculated; then the planned total electricity consumption is subtracted from the remaining amount to obtain the final planned total electricity consumption for the current quarter.

[0053] The above preliminary electricity purchase structure allocation plan includes the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases; the sum of the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases is 100%.

[0054] In some embodiments, step 300, using the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient to obtain a preliminary electricity purchase structure allocation plan, and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan, includes the following steps:

[0055] The electricity purchase structure allocation plan corresponding to the previous quarter is used as the initial plan, and then the initial allocation model is initialized according to the initial plan;

[0056] The compensation coefficient is then multiplied by the percentage of electricity purchased by the corresponding energy type to obtain a preliminary electricity purchase structure allocation plan;

[0057] According to the preliminary power purchase structure allocation plan and the planned total power consumption, the short-term power purchase from outside the province, the long-term power purchase from outside the province, the thermal power purchase from within the province, the hydropower purchase, and other power purchases are obtained;

[0058] The preliminary total cost is obtained based on the short-term electricity purchase volume and electricity purchase price from outside the province, the long-term electricity purchase volume and electricity purchase price from outside the province, the thermal power purchase volume and electricity purchase price within the province, the hydropower purchase volume and electricity purchase price, and other electricity purchase volumes and electricity purchase prices.

[0059] In some embodiments, step 200, obtaining a corresponding compensation coefficient according to energy type and time period, includes the following steps:

[0060] When the energy type is hydropower, it is determined whether the current time period is in the dry season;

[0061] If it is in the dry season, the compensation coefficient is the first coefficient; otherwise, it is the second coefficient; the second coefficient is greater than the first coefficient;

[0062] When the energy types are wind power and solar energy, the real-time total amount of wind power and solar energy of the main power generation entities in the province corresponding to the current electricity purchaser is obtained, as well as the initial proportion of other electricity purchases in the allocation model; then, based on the initial proportion of other electricity purchases, the planned total electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is derived; the third coefficient is used as the compensation coefficient.

[0063] Based on the initial proportion of other purchased electricity, the total planned electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is obtained, including the following steps:

[0064] The required amount of electricity for other purchases is obtained based on the planned total electricity consumption and the initial proportion of other purchases;

[0065] Use formula 1 to get the third coefficient;

[0066] Formula 1 is:

[0067] Through the description of the above steps, the steps for analyzing the final power purchase structure allocation plan for the next quarter are the same as the steps for obtaining the final power purchase structure allocation plan for the current quarter. The above can be realized by comprehensively considering the different geographical locations and resources of different provinces and the fluctuation of power generation over time of power generation entities. Only the planned total electricity consumption, the overall average price and compensation coefficient, the geographical location and the corresponding current quarter need to be input to obtain the preliminary total cost corresponding to the preliminary power purchase structure allocation plan; then the preliminary total cost corresponding to the step power purchase structure allocation plan is optimized, with the planned total electricity consumption and the standard total cost as the target. The final power purchase structure allocation plan for the current quarter can be obtained quickly and effectively, and it can be automatically adjusted according to the influencing factors to maximize economic benefits.

[0068] In some embodiments, the display device is used to display the percentage of short-term power purchases from outside the province, the percentage of long-term power purchases from outside the province, the percentage of thermal power purchases from within the province, the percentage of hydropower purchases, and the percentage of other power purchases in the final power purchase structure allocation plan for the current quarter in the form of a bar graph, and the total amount of preliminary expenses is displayed, so that it can be displayed intuitively and is easy to view. The first data acquisition module, the second data acquisition module, and the third data acquisition module all include a data source interface, a data collector, a data cleaner, a data integrator, a data converter, and a data transmitter;

[0069] The data source interface is used to connect to the data source, which includes databases, APIs, and web pages; the data collector is used to obtain data from the data source; the data cleaner is used to clean and correct the data; the data integrator is used to integrate data from different sources; the data converter is used to convert the format and structure of the integrated data; and the data transmitter is used to transmit the converted data.

[0070] The above computing media or software can be written into an analysis and computing module, which is a CPU, computer, chip, etc. with computing capabilities.

[0071] In the description of the present application, it should be noted that the terms "upper", "lower", etc. indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0072] It should be noted that, in this application, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0073] The above description is only a specific implementation of the present application, so that those skilled in the art can understand or implement the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest range consistent with the principles and novel features applied for herein.

Claims

1. A method for optimizing and analyzing electricity purchase structure based on quantity, price and space constraints, characterized in that: include: The first data acquisition module is used to acquire the total planned electricity consumption for the current quarter, as well as the geographical location of the current electricity purchasing user and the time period corresponding to the current quarter; The second data acquisition module is used to obtain the overall average price of national electricity prices; the second data acquisition module is used in combination with the geographical location to obtain the energy type of the main power generation entity in the province corresponding to the current electricity purchase user, and then the corresponding compensation coefficient is obtained according to the energy type and the time period; Using the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient, a preliminary electricity purchase structure allocation plan and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan are obtained; The analysis and calculation module is used to iteratively optimize the preliminary total cost until the preliminary total cost is less than the standard total cost, so as to output the final electricity purchase structure allocation plan for the current quarter.

2. The power purchase structure optimization analysis method based on quantity, price and space constraints according to claim 1 is characterized in that: The preliminary total cost is iteratively optimized using the analysis and calculation module until the preliminary total cost is less than the standard total cost, so as to output the final electricity purchase structure allocation plan for the current quarter, including the following steps: Compare the preliminary total cost with the standard total cost; the standard total cost is calculated by the total planned electricity consumption and the overall average price; If the total preliminary cost is greater than the total standard cost, the allocation model is used to adjust the preliminary power purchase structure allocation plan to obtain a new total preliminary cost, and then the process returns to the step of comparing the total preliminary cost with the total standard cost again; Otherwise, the preliminary electricity purchase structure allocation plan will be used as the final electricity purchase structure allocation plan for the current quarter.

3. The power purchase structure optimization analysis method based on quantity, price and space constraints as claimed in claim 2 is characterized in that: The following steps are also included: Before using the first data acquisition module to acquire the planned total power consumption of the current quarter, using the third data acquisition module to acquire the power consumption status of the previous quarter; If the electricity consumption in the previous quarter does not exceed the electricity purchase structure allocation plan of the previous quarter, the remaining amount is calculated; then the planned total electricity consumption is subtracted from the remaining amount to obtain the final planned total electricity consumption for the current quarter.

4. The method for optimizing and analyzing the electricity purchasing structure based on quantity, price and space constraints according to claim 3 is characterized by: The preliminary electricity purchase structure allocation plan includes the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases; the sum of the percentage of short-term electricity purchases from outside the province, the percentage of long-term electricity purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other electricity purchases is 100%.

5. The power purchase structure optimization analysis method based on quantity, price and space constraints according to claim 4 is characterized in that: Using the allocation model of the analysis and calculation module, and combining the planned total electricity consumption, the overall average price and the compensation coefficient, a preliminary electricity purchase structure allocation plan and a preliminary total cost corresponding to the preliminary electricity purchase structure allocation plan are obtained, including the following steps: The electricity purchase structure allocation plan corresponding to the previous quarter is used as the initial plan, and then the initial allocation model is initialized according to the initial plan; The compensation coefficient is then multiplied by the percentage of electricity purchased by the corresponding energy type to obtain a preliminary electricity purchase structure allocation plan; According to the preliminary power purchase structure allocation plan and the planned total power consumption, the short-term power purchase from outside the province, the long-term power purchase from outside the province, the thermal power purchase from within the province, the hydropower purchase, and other power purchases are obtained; The preliminary total cost is obtained based on the short-term electricity purchase volume and electricity purchase price from outside the province, the long-term electricity purchase volume and electricity purchase price from outside the province, the thermal power purchase volume and electricity purchase price within the province, the hydropower purchase volume and electricity purchase price, and other electricity purchase volumes and electricity purchase prices.

6. The method for optimizing and analyzing the power purchase structure based on quantity, price and space constraints according to claim 4 is characterized in that: Obtaining the corresponding compensation coefficient according to the energy type and the time period includes the following steps: When the energy type is hydropower, it is determined whether the current time period is in the dry season; If it is in the dry season, the compensation coefficient is the first coefficient; otherwise, it is the second coefficient; the second coefficient is greater than the first coefficient; When the energy types are wind power and solar energy, the real-time total amount of wind power and solar energy of the main power generation entities in the province corresponding to the current electricity purchaser is obtained, as well as the initial proportion of other electricity purchases in the allocation model; then, based on the initial proportion of other electricity purchases, the planned total electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is derived; the third coefficient is used as the compensation coefficient.

7. The method for optimizing and analyzing the power purchase structure based on quantity, price and space constraints according to claim 6, characterized in that: Based on the initial proportion of other purchased electricity, the total planned electricity consumption, and the real-time total amount of wind power and solar energy, the third coefficient is obtained, including the following steps: The required amount of electricity for other purchases is obtained based on the planned total electricity consumption and the initial proportion of other purchases; Use formula 1 to get the third coefficient; Formula 1 is:

8. The method for optimizing and analyzing the power purchase structure based on quantity, price and space constraints according to claim 4 is characterized in that: The following steps are also included: The display device is used to display the final power purchase structure allocation plan for the current quarter, including the percentage of short-term power purchases from outside the province, the percentage of long-term power purchases from outside the province, the percentage of thermal power purchases within the province, the percentage of hydropower purchases, and the percentage of other power purchases in the form of a bar graph, and the preliminary total cost is displayed.

9. The method for optimizing and analyzing the electricity purchasing structure based on quantity, price and space constraints according to claim 1, characterized in that: The steps for analyzing the final power purchase structure allocation plan for the next quarter are the same as the steps for obtaining the final power purchase structure allocation plan for the current quarter.

10. The method for optimizing and analyzing the power purchase structure based on quantity, price and space constraints according to claim 1, characterized in that: The first data acquisition module, the second data acquisition module and the third data acquisition module each include a data source interface, a data collector, a data cleaner, a data integrator, a data converter and a data transmitter; The data source interface is used to connect to a data source, and the data source includes a database, an API, and a web page; The data collector is used to obtain data from the data source; The data cleaner is used to clean and correct the data; Data integrator is used to integrate data from different sources; Data converters are used to convert the format and structure of integrated data; The data transmitter is used to transmit the converted data.

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