Receiving end demand-based power supply configuration method and device, storage medium and equipment

Abstract

The invention discloses a receiving end demand-based power supply configuration method and device, a storage medium and equipment, relates to the technical field of power dispatching, and mainly aims to solve the problem that an existing energy configuration scheme which only considers transmitting end energy characteristics is not matched with the actual demand of a receiving end. Comprising the steps of obtaining a historical load condition and an economic condition of a receiving end region position, and predicting a highest load condition and an electricity consumption condition of a planning level year in different seasons; determining a receiving-end power supply participating in balance in the planning level year at the receiving-end region position, and performing electric power, electric quantity and peak regulation balance analysis to obtain a power supply output condition of the receiving-end power supply at the receiving-end region position in the planning level year; taking the highest load condition of each season as a typical condition to determine a delivery space and demand characteristics required by the position of the receiving end region; different power supply configuration schemes are prepared based on the energy resource characteristics of the sending end base, the evaluation index of each power supply configuration scheme is measured and calculated, and a target power supply configuration scheme is determined based on the evaluation indexes.

Description

Technical Field

[0001] The present invention relates to the technical field of power dispatching, and particularly to a power source configuration method and device, a storage medium, and a device based on the demand of the receiving end. Background Art

[0002] Currently, in response to the situation where power resources do not match economic development, power is transmitted from the sending area to the receiving area.

[0003] In the prior art, the sending area mainly transmits surplus power to the receiving area based on its own energy characteristics. However, with the development of new energy, the intermittency and volatility of new energy power generation make the power transmission configuration plan obtained based on the energy characteristics of the sending area increasingly mismatched with the actual demand of the receiving area. For example, the prior art discloses a regulatory resource configuration model that takes into account the power transmission demand outside the new energy base based on the energy characteristics of the sending area. The typical daily power transmission target curve and the typical daily output scenarios of wind / solar power extracted based on the adaptive clustering algorithm are used as the input of the regulatory resource configuration model, and the objective function is solved according to the constraint conditions to obtain the regulatory resource configuration plan. It can be seen that the above-mentioned existing solutions mainly consider their own energy resource characteristics, and rarely analyze the load characteristics and demand characteristics of the receiving area, and the analysis scale is mainly based on typical days. Therefore, there is a large difference between the obtained regulatory resource configuration plan and the actual demand of the receiving end. Summary of the Invention

[0004] In view of this, the present invention provides a power source configuration method and device, a storage medium, and a device based on the demand of the receiving end, mainly aiming to solve the problem of mismatch between the existing energy configuration plan that only considers the energy characteristics of the sending end and the actual demand of the receiving end.

[0005] According to one aspect of the present invention, a power source configuration method based on the demand of the receiving end is provided, including:

[0006] Obtain the historical load situation and economic situation of the receiving end area location, and predict the maximum load situation and power consumption situation in different seasons of the planned horizontal year based on the historical load situation and the economic situation;

[0007] Determine the receiving-end power sources participating in the balance in the planned horizontal year of the receiving end area location, and perform power, power quantity, and peak shaving balance analysis based on the receiving-end power sources to obtain the power output situation of the receiving-end power sources at the receiving end area location in the planned horizontal year;

[0008] Taking the maximum load situation in each season as a typical example, determine the external transmission space and demand characteristics required by the receiving end area location based on the power output situation of the receiving-end power sources;

[0009] Formulate different power supply configuration plans based on the energy resource characteristics of the sending end base, and measure the evaluation indexes of each power supply configuration plan through the external transmission space and the demand characteristics, and determine the target power supply configuration plan based on the evaluation indexes.

[0010] Further, predicting the maximum load conditions and electricity consumption conditions in different seasons of the planned horizontal year based on the historical load conditions and the economic conditions includes:

[0011] Dividing the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons;

[0012] Using the training data sets corresponding to each season to train the load prediction models corresponding to each season;

[0013] Predicting the maximum load conditions in each season of the planned horizontal year based on the load prediction models corresponding to each season; and determining the electricity consumption conditions based on the maximum load conditions.

[0014] Further, performing power, electricity quantity, and peak shaving balance analysis based on the receiving end power sources to obtain the power output conditions of the receiving end power sources at the receiving end area location in the planned horizontal year, including:

[0015] Determining the total operating cost of the receiving end area power system based on the power source types and installed capacities of the receiving end power sources;

[0016] Establishing an optimization model for the receiving end area with the minimum value of calculating the total operating cost as the comprehensive objective function;

[0017] Performing optimization solution processing on the receiving end area optimization model to obtain the power output conditions of the receiving end power sources; and determining the power market space at the receiving end area location in combination with the power output conditions of the existing power sources at the receiving end.

[0018] Further, determining the total operating cost of the receiving end area power system based on the power source types and installed capacities of the receiving end power sources includes:

[0019] Determining the unit power generation cost of each power source type at each time period;

[0020] Determining the curtailment cost of new energy at each time period;

[0021] Determining the total operating cost based on the power generation cost and the curtailment cost.

[0022] Further, taking the maximum load conditions in each season as a typical case, determining the external transmission space and demand characteristics required at the receiving end area location based on the power output conditions of the receiving end power sources, including:

[0023] Calculate the difference between the highest load conditions and the power output conditions in each season, and determine the external transmission space required for the receiving-end area location corresponding to each season;

[0024] Conduct demand characteristic analysis on the external transmission space by time period to obtain the demand characteristics in each planning time period.

[0025] Further, the different power supply configuration schemes formulated based on the energy resource characteristics of the sending-end base include:

[0026] Determine new energy power supplies with different installation ratios as the power supply configuration scheme of the sending-end base; or,

[0027] Determine new energy power supplies with different installation ratios and regulating power supplies as the power supply configuration scheme of the sending-end base; or,

[0028] Determine new energy power supplies with different installation ratios, traditional power supplies and regulating power supplies as the power supply configuration scheme of the sending-end base.

[0029] Further, the evaluation indexes of the power supply configuration scheme include the channel utilization hours, the new energy curtailment rate and the levelized cost of electricity.

[0030] According to another aspect of the present invention, there is provided a power supply configuration device based on receiving-end demand, including:

[0031] A prediction module, configured to obtain the historical load conditions and economic conditions of the receiving-end area location, and predict the highest load conditions and electricity consumption conditions in different seasons of the planned horizontal year based on the historical load conditions and the economic conditions;

[0032] An output analysis module, configured to determine the receiving-end power supplies participating in the balance at the receiving-end area location in the planned horizontal year, and conduct power, electricity quantity and peak shaving balance analysis based on the receiving-end power supplies to obtain the power output conditions of the receiving-end power supplies at the receiving-end area location in the planned horizontal year;

[0033] A receiving-end demand analysis module, configured to take the highest load conditions in each season as a typical case, and determine the external transmission space and demand characteristics required for the receiving-end area location based on the power output conditions of the receiving-end power supplies;

[0034] A scheme determination module, configured to formulate different power supply configuration schemes based on the energy resource characteristics of the sending-end base, calculate the evaluation indexes of each power supply configuration scheme through the external transmission space and the demand characteristics, and determine the target power supply configuration scheme based on the evaluation indexes.

[0035] Further, the prediction module is further configured to:

[0036] Divide the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons;

[0037] Use the training data sets corresponding to each season to train load forecasting models corresponding to each season;

[0038] Based on the load forecasting models corresponding to each season, predict the highest load conditions in each season of the planned year; and determine the electricity consumption situation based on the highest load conditions.

[0039] Furthermore, the output analysis module is also used for:

[0040] Determine the total operating cost of the receiving-end regional power system based on the power source type and installed capacity of the receiving-end power source;

[0041] Establish a receiving-end regional optimization model with the minimum value of calculating the total operating cost as the comprehensive objective function;

[0042] Perform optimization solution processing on the receiving-end regional optimization model to obtain the power output situation of the receiving-end power source; and determine the power market space at the receiving-end regional location in combination with the power output situation of the existing power sources at the receiving-end.

[0043] Furthermore, the output analysis module is also used for:

[0044] Determine the unit power generation cost of each power source type at each time period;

[0045] Determine the curtailment cost of new energy at each time period;

[0046] Determine the total operating cost based on the power generation cost and the curtailment cost.

[0047] Furthermore, the receiving-end demand analysis module is also used for:

[0048] Calculate the difference between the highest load conditions in each season and the power output situation, and determine the external transmission space required at the receiving-end regional location corresponding to each season;

[0049] Conduct demand characteristic analysis on the external transmission space by time period to obtain demand characteristics for each planned time period.

[0050] Furthermore, the solution determination module includes a solution formulation unit, and the solution formulation unit is used for:

[0051] Determine new energy power sources with different installation ratios as the power configuration solutions for the sending-end base; or,

[0052] Determine new energy power sources and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base; or,

[0053] Determine new energy power sources, traditional power sources, and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base.

[0054] Furthermore, the evaluation indicators of the power configuration plan in the plan determination module include the channel utilization hours, the new energy curtailment rate, and the levelized cost of electricity.

[0055] According to another aspect of the present invention, there is provided a storage medium in which at least one executable instruction is stored, and the executable instruction causes a processor to perform operations corresponding to the power configuration method based on the receiving-end demand as described above.

[0056] According to another aspect of the present invention, there is provided a device including a processor, a memory, a communication interface, and a communication bus. The processor, the memory, and the communication interface complete communication with each other through the communication bus;

[0057] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform operations corresponding to the power configuration method based on the receiving-end demand as described above.

[0058] By means of the above technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages:

[0059] The present invention provides a power configuration method, device, storage medium, and device based on the receiving-end demand. Compared with the prior art, the present invention obtains the historical load situation and economic situation of the receiving-end area location, and predicts the maximum load situation and electricity consumption situation in different seasons of the planned horizontal year based on the historical load situation and the economic situation; determines the receiving-end power sources participating in the balance at the receiving-end area location in the planned horizontal year, and performs power, electricity, and peak shaving balance analysis based on the receiving-end power sources to obtain the power output situation of the receiving-end power sources at the receiving-end area location in the planned horizontal year; taking the maximum load situation in each season as a typical example, determines the external transmission space and demand characteristics required by the receiving-end area location based on the power output situation of the receiving-end power sources, realizing a full analysis and processing of the load characteristics and demand characteristics of the receiving-end. Then, different power configuration plans are formulated based on the energy resource characteristics of the sending-end base, and the evaluation indicators of each power configuration plan are calculated based on the external transmission space and demand characteristics, and the target power configuration plan is determined based on the evaluation indicators, so that the power plan of the sending-end base can be more adapted to the receiving-end demand, and can significantly improve the working efficiency and quality of the energy base capacity ratio.

[0060] The above description is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the present invention more obvious and understandable, the following specifically illustrates the embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not to be considered as limiting the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0062] Figure 1 FIG. shows a schematic flowchart of a power supply configuration method based on the requirements of the receiving end provided by an embodiment of the present invention;

[0063] Figure 2 FIG. shows a schematic flowchart of another power supply configuration method based on the requirements of the receiving end provided by an embodiment of the present invention;

[0064] Figure 3 FIG. shows a schematic flowchart of yet another power supply configuration method based on the requirements of the receiving end provided by an embodiment of the present invention;

[0065] Figure 4 FIG. shows a schematic diagram of different power supply configuration schemes and their corresponding evaluation indexes provided by an embodiment of the present invention;

[0066] Figure 5 FIG. shows a schematic structural diagram of a power supply configuration device based on the requirements of the receiving end provided by an embodiment of the present invention;

[0067] Figure 6 FIG. shows a schematic structural diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] Hereinafter, exemplary embodiments of the present disclosure will be described in more detail with reference to the drawings. Although the exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided so that the present disclosure can be more thoroughly understood and the scope of the present disclosure can be completely conveyed to those skilled in the art.

[0069] An embodiment of the present invention provides a power supply configuration method based on the requirements of the receiving end, as Figure 1 shown, the method includes:

[0070] 101. Obtain the historical load conditions and economic conditions of the receiving-end area location, and predict the maximum load conditions and electricity consumption conditions in different seasons of the planned reference year based on the historical load conditions and the economic conditions.

[0071] In the embodiment of the present invention, the current execution end collects the current situation and planning data of the power system related to the area location according to the receiving-end area location, including load data, power source data, grid data, etc., and obtains the corresponding historical load conditions and economic conditions from the collected relevant data. Among them, the historical load conditions represent the load power at each monitoring moment of the receiving-end area location under the current situation of the power system. The economic conditions represent the relevant economic indicators reflecting the economic level corresponding to the receiving-end area location in a certain monitoring period, such as gross domestic product (GDP), gross national product (GNP), etc., which are not specifically limited in the embodiment of the present invention.

[0072] In the embodiment of the present invention, after obtaining the historical load conditions and economic conditions, the current execution end also performs prediction processing based on the historical load conditions and economic conditions to obtain the maximum load conditions and electricity consumption conditions in different seasons of the planned reference year. Among them, performing prediction processing on the load conditions and economic conditions represents the prediction of the power market demand of the receiving-end area location when the future economic conditions change. Specifically, methods such as regression analysis, neural network model, grey prediction model, support vector machine model, etc. can be used, which are not specifically limited in the embodiment of the present invention. Among them, the planned reference year refers to the target year of the plan. The electricity consumption conditions represent the total amount of electric energy consumed by the receiving-end area location in a certain monitoring period, usually in kilowatt-hours (kWh).

[0073] 102. Determine the receiving-end power sources participating in the balance of the receiving-end area location in the planned reference year, and perform power, electricity quantity, and peak regulation balance analysis based on the receiving-end power sources to obtain the power output conditions of the receiving-end power sources in the receiving-end area location in the planned reference year.

[0074] In the embodiment of the present invention, the current execution end determines the receiving-end power sources participating in the balance of the receiving-end area location in the planned reference year according to the planning content of the receiving-end area location recorded in the data, including the existing power sources and the newly added power sources of the receiving-end area location. The current execution end also performs power, electricity quantity, and peak regulation balance analysis based on the receiving-end power sources to obtain the corresponding power output conditions of the receiving-end power sources in the receiving-end area location in the planned reference year. Among them, power balance analysis represents analyzing whether the receiving-end power sources participating in the balance within the receiving-end area location can meet the peak load demand of power. Electricity quantity balance analysis represents analyzing whether the receiving-end power sources participating in the balance within the receiving-end area location can meet the electricity quantity demand within a certain period of time. Peak regulation balance analysis represents achieving the stable operation of the power grid through the regulation methods of receiving-end load-side peak regulation and / or receiving-end energy storage peak regulation.

[0075] 103. Taking the highest load condition in each season as a typical case, determine the external transmission space and demand characteristics required for the receiving-end area location based on the power output condition of the receiving-end power source.

[0076] In the embodiment of the present invention, the current execution end takes the highest load condition in each season predicted in step 101 as a typical case, and determines the external transmission space required for the receiving-end area location based on the power output condition of the receiving-end power source obtained in step 102. Among them, the external transmission space required for the receiving-end area location represents the power quantity space that the receiving-end area location itself cannot meet the receiving-end load demand and thus needs to obtain from the sending end. The current execution end also analyzes the demand characteristics of the receiving-end area location based on the highest load condition in each season and the power output condition of the receiving-end power source. Among them, the demand characteristics can reflect the demand characteristics of the receiving-end area location at different time periods, such as the demand characteristics during the noon peak and the evening peak, etc., which are not specifically limited in the embodiment of the present invention.

[0077] 104. Based on the energy resource characteristics of the sending-end base, formulate different power configuration schemes, and calculate the evaluation indexes of each power configuration scheme through the external transmission space and the demand characteristics, and determine the target power configuration scheme based on the evaluation indexes.

[0078] In the embodiment of the present invention, the current execution end formulates different power configuration schemes based on the energy resource characteristics of the sending-end base. Among them, the power configuration scheme can be a combination of different types of power sources, such as a power source combination of wind power and photovoltaic power generation, a power source combination of wind power, photovoltaic power generation and thermal power, etc., which are not specifically limited in the embodiment of the present invention. The current execution end also calculates the evaluation indexes of each power configuration scheme through the external transmission space and the demand characteristics obtained in step 103. Among them, the evaluation indexes can include the channel utilization hours, the new energy curtailment rate, the levelized cost of electricity, etc., which are not specifically limited in the embodiment of the present invention. The current execution end determines the final power configuration scheme of the sending-end base based on the evaluation indexes obtained from the above calculations. The specific calculation formula of the levelized cost of electricity in the evaluation indexes is as follows:

[0079]

[0080] Among them, LCOE is the levelized cost of electricity.

[0081] Furthermore, as a refinement and extension of the specific implementation manner of the above embodiment, in order to fully consider the impact of the economy on the load and improve the accuracy of the load prediction in the predicted horizon year, another power configuration method based on the receiving-end demand is provided. For example, Figure 2 As shown, the steps of predicting the highest load condition and the electricity consumption condition in different seasons of the planned horizon year based on the historical load condition and the economic condition include:

[0082] 201. Divide the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons;

[0083] In the embodiments of the present invention, the current execution end divides the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons. For example, the historical load data is divided according to the four seasons of spring, summer, autumn, and winter, and then economic indicators (GDP and / or GNP) corresponding to each season are added to the divided historical load data to obtain training data sets for each season. The embodiments of the present invention do not make specific limitations.

[0084] 202. Use the training data sets corresponding to each season to train the load prediction models corresponding to each season;

[0085] In the embodiments of the present invention, the current execution end performs model training processing using the training data sets corresponding to each season to obtain load prediction models corresponding to each season. Among them, when performing model training processing, neural network models, gray prediction models, support vector machine models, etc. can be selected. The embodiments of the present invention do not make specific limitations.

[0086] 203. Based on the load prediction models corresponding to each season, predict the highest load conditions of the planning horizon year in each season; and determine the electricity consumption conditions based on the highest load conditions.

[0087] In the embodiments of the present invention, the current execution end predicts the highest load conditions of the planning horizon year in each season based on the load prediction models corresponding to each season obtained in step 202. Among them, the highest load conditions can be represented in the form of a load curve, and the load power at each time period can be more intuitively seen through the load curve. The current execution end performs statistical processing on the highest load conditions to obtain the electricity consumption conditions corresponding to the statistical period. For example, the electricity consumption conditions for 24 hours a day are statistically calculated, and the electricity consumption conditions for a whole year are statistically calculated, etc. The embodiments of the present invention do not make specific limitations.

[0088] Further, as a refinement and extension of the specific implementation manner of the above embodiment, in order to save the operating cost of the receiving-end regional power system through an adjustment method, another power source configuration method based on the receiving-end demand is provided, such as Figure 3 shown, the steps are to perform power, electricity quantity, and peak shaving balance analysis based on the receiving-end power source to obtain the power output conditions of the receiving-end power source at the receiving-end regional location in the planning horizon year, including:

[0089] 301. Determine the total operating cost of the receiving-end regional power system based on the power source type and installed capacity of the receiving-end power source;

[0090] In the embodiments of the present invention, the current execution end determines the total operating cost of the power system in the receiving end area based on the power type and installation situation of the receiving end power supply. Specifically, it determines the unit power generation cost of the receiving end power supply for each time period. For example, the power generation cost of coal power in the t-th time period is denoted as The power generation cost of fuel oil in the t-th time period is denoted as The power generation cost of gas in the t-th time period is denoted as The power generation cost of hydropower in the t-th time period is denoted as The power generation cost of nuclear power in the t-th time period is denoted as The power generation cost of chemical energy storage in the t-th time period is denoted as The power generation cost of pumped storage in the t-th time period is denoted as and so on. The embodiments of the present invention do not make specific limitations. Then, the current execution end determines the curtailment cost of new energy for each time period, denoted as where λ RC represents the new energy curtailment cost coefficient, represents the new energy curtailment amount in the t-th time period. Finally, the current execution end accumulates the above power generation cost and curtailment cost to obtain the total operating cost, which is expressed by the formula as follows:

[0091]

[0092] where T represents the statistical period.

[0093] 302. Establish an optimization model for the receiving end area with the minimum value of calculating the total operating cost as the comprehensive objective function;

[0094] In the embodiments of the present invention, the current execution end establishes an optimization model for the receiving end area with the minimum value of the total operating cost determined in step 301 as the comprehensive objective function. The specific formula is as follows:

[0095]

[0096] where f 1 represents the comprehensive objective function.

[0097] It should be noted that the power generation costs of the above various power types can be determined through the corresponding unit power generation characteristics.

[0098] 303. Perform optimization solution processing on the optimization model of the receiving end area to obtain the power output situation of the receiving end power supply; and determine the power market space at the location of the receiving end area in combination with the power output situation of the existing power supply at the receiving end.

[0099] In the embodiment of the present invention, the current execution end performs optimization solution processing on the receiving-end area optimization model to obtain the power output situation of the receiving-end power source. It should be noted that various constraint conditions corresponding to different power source types need to be considered during the optimization solution process, including hydropower-related constraints, thermal power-related constraints, energy storage-related constraints, etc., which are not specifically limited in the embodiment of the present invention.

[0100] In addition, the current execution end can also determine the power market space of the receiving-end area location in combination with the existing power output situation of the receiving-end. Specifically: Power market space = Load - Output situation of existing power sources.

[0101] Furthermore, as a refinement and extension of the specific implementation manner of the above embodiment, in order to better meet the power consumption requirements of the receiving-end area location, another power source configuration method based on the receiving-end demand is provided. The steps are typical of the highest load situation in each season, and the power output situation of the receiving-end power source is used to determine the external transmission space and demand characteristics required by the receiving-end area location, including:

[0102] Calculate the difference between the highest load situation in each season and the power output situation to determine the external transmission space required by the receiving-end area location corresponding to each season;

[0103] Conduct demand characteristic analysis on the external transmission space by time period to obtain the demand characteristics in each planning time period.

[0104] In the embodiment of the present invention, the current execution end calculates the difference between the highest load situation in each season and the power output situation. Specifically, the difference calculation can be performed by time period, that is, calculate the power difference between the load power and the power output power in the t-th time period to obtain the power difference corresponding to each time period, so as to determine the external transmission space required by the receiving-end area location corresponding to each season in each time period. Then, the current execution end conducts demand characteristic analysis on the external transmission space by time period. For example, the external transmission space required by the receiving-end area location within 24 hours is visually displayed in the form of a curve, and then according to the rising and falling trends of the curve, the noon peak time period and the evening peak time period corresponding to each season are divided from within 24 hours, and then the external transmission demand in the noon peak time period and the external transmission demand in the evening peak time period of the corresponding season are statistically obtained to obtain the demand characteristics in each planning time period.

[0105] Furthermore, as a refinement and extension of the specific implementation manner of the above embodiment, in order to improve the analysis efficiency of the power source configuration scheme for the sending-end base, another power source configuration method based on the receiving-end demand is provided. The steps are to formulate different power source configuration schemes based on the energy resource characteristics of the sending-end base, including:

[0106] Determine the power source configuration scheme of the sending-end base with new energy power sources of different installed capacity ratios; or,

[0107] Determine new energy power sources and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base; or,

[0108] Determine new energy power sources, traditional power sources, and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base.

[0109] In the embodiments of the present invention, the current execution end can determine new energy power sources with different installed capacity ratios as the power configuration plan for the sending-end base; it can also determine new energy power sources and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base; it can also determine new energy power sources, traditional power sources, and regulating power sources with different installed capacity ratios as the power configuration plan for the sending-end base. The embodiments of the present invention do not make specific limitations. It should be noted that the formulation of the power configuration plan should conform to the actual power carrying capacity of the sending-end base.

[0110] In the embodiments of the present invention, a certain base in the northwest of China is used as the sending-end base, and a certain province in East China is used as the receiving-end area location for research and analysis. According to the relevant grid power source commissioning and decommissioning plans, the installed capacity of the power sources participating in the power and electricity balance at the receiving-end grid in 2035 (including power transmission from outside the region) is 321,457 MW. According to the load forecast results and the power and electricity balance analysis and calculation in 2035 are carried out. The calculation results show that: the power market space of the receiving-end grid in 2035 is 10,842 MW, the power shortage is 28.43 billion kWh, and the utilization hours of the supplementary power source are 2,622 h.

[0111] Taking the maximum load days in spring, summer, autumn, and winter as typical, the wind power is considered based on the actual wind power output in the four seasons, and the output corresponding to the frequency arrangement of the wind power reverse peak regulation amplitude (P = about 95%) is considered. The photovoltaic power uses the output corresponding to the frequency arrangement of the photovoltaic power output in the four seasons (P = 50%). On this basis, the highest load conditions corresponding to each season are analyzed and calculated. Then, considering the receiving-end power sources participating in the balance at the receiving-end area location in 2035, the external transmission demand of the receiving-end grid in the four seasons is determined. For example, during the noon peak (11 - 12 o'clock, 14 - 17 o'clock) and the evening peak (20 o'clock - 23 o'clock), the minimum power transmission requirement of 5,000 MW needs to be met. To not meet the above minimum power transmission requirement, the current execution end can control the installed capacity ratio of wind and light at 1:2, control the total scale of thermal power and energy storage at 4,000 MW, and through adjusting the total installed capacity of new energy and the installed capacity of thermal power and energy storage for simulation calculation, obtain the evaluation indexes of the corresponding configuration plan, such as Figure 4 as shown.

[0112] An embodiment of the present invention provides a power supply configuration method based on the demand of the receiving end. Compared with the prior art, the present invention obtains the historical load situation and economic situation of the receiving end area location, and predicts the maximum load situation and power consumption situation in different seasons of the planned horizontal year based on the historical load situation and the economic situation; determines the receiving end power sources participating in the balance at the receiving end area location in the planned horizontal year, and performs power, power quantity, and peak shaving balance analysis based on the receiving end power sources to obtain the power output situation of the receiving end power sources at the receiving end area location in the planned horizontal year; takes the maximum load situation in each season as a typical example, and determines the external transmission space and demand characteristics required by the receiving end area location based on the power output situation of the receiving end power sources, realizing a full analysis and processing of the load characteristics and demand characteristics of the receiving end. Then, different power supply configuration schemes are formulated based on the energy resource characteristics of the sending end base, and the evaluation indexes of each power supply configuration scheme are measured based on the external transmission space and demand characteristics, and the target power supply configuration scheme is determined based on the evaluation indexes, so that the power supply scheme of the sending end base can be more adapted to the demand of the receiving end, and the working efficiency and quality of the capacity ratio of the energy base can be significantly improved.

[0113] As an implementation of the above Figure 1 shown method, an embodiment of the present invention provides a power supply configuration device based on the demand of the receiving end, as Figure 5 shown, the device includes:

[0114] A prediction module 41, configured to obtain the historical load situation and economic situation of the receiving end area location, and predict the maximum load situation and power consumption situation in different seasons of the planned horizontal year based on the historical load situation and the economic situation;

[0115] An output analysis module 42, configured to determine the receiving end power sources participating in the balance at the receiving end area location in the planned horizontal year, and perform power, power quantity, and peak shaving balance analysis based on the receiving end power sources to obtain the power output situation of the receiving end power sources at the receiving end area location in the planned horizontal year;

[0116] A receiving end demand analysis module 43, configured to take the maximum load situation in each season as a typical example, and determine the external transmission space and demand characteristics required by the receiving end area location based on the power output situation of the receiving end power sources;

[0117] A scheme determination module 44, configured to formulate different power supply configuration schemes based on the energy resource characteristics of the sending end base, measure the evaluation indexes of each power supply configuration scheme through the external transmission space and the demand characteristics, and determine the target power supply configuration scheme based on the evaluation indexes.

[0118] Further, the prediction module 41 is further configured to:

[0119] Divide the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons;

[0120] Use the training data sets corresponding to each season to train the load forecasting models corresponding to each season;

[0121] Based on the load forecasting models corresponding to each season, predict the highest load conditions in each season of the planned reference year; and determine the electricity consumption conditions based on the highest load conditions.

[0122] Furthermore, the output analysis module 42 is further configured to:

[0123] Determine the total operating cost of the receiving-end regional power system based on the power source type and installed capacity of the receiving-end power source;

[0124] Establish a receiving-end regional optimization model with the minimum value of calculating the total operating cost as the comprehensive objective function;

[0125] Perform optimization solution processing on the receiving-end regional optimization model to obtain the power output conditions of the receiving-end power source; and determine the power market space at the receiving-end regional location in combination with the power output conditions of the existing power sources at the receiving-end.

[0126] Furthermore, the output analysis module 42 is further configured to:

[0127] Determine the unit power generation cost of each power source type at each time period;

[0128] Determine the curtailment cost of new energy at each time period;

[0129] Determine the total operating cost based on the power generation cost and the curtailment cost.

[0130] Furthermore, the receiving-end demand analysis module 43 is further configured to:

[0131] Calculate the difference between the highest load conditions in each season and the power output conditions, and determine the external transmission space required at the receiving-end regional location corresponding to each season;

[0132] Conduct demand characteristic analysis on the external transmission space by time period to obtain the demand characteristics in each planned time period.

[0133] Furthermore, the solution determination module 44 includes a solution formulation unit, and the solution formulation unit is configured to:

[0134] Determine new energy power sources with different installed ratios as the power configuration solutions for the sending-end base; or,

[0135] Determine new energy power sources and regulating power sources with different installed capacity ratios as the power configuration plan of the sending-end base; or,

[0136] Determine new energy power sources, traditional power sources and regulating power sources with different installed capacity ratios as the power configuration plan of the sending-end base.

[0137] Furthermore, the evaluation indexes of the power configuration plan in the plan determination module 44 include channel utilization hours, new energy curtailment rate and levelized cost of electricity.

[0138] An embodiment of the present invention provides a power configuration device based on receiving-end demand. Compared with the prior art, the present invention obtains the historical load conditions and economic conditions of the receiving-end area location, and predicts the maximum load conditions and electricity consumption conditions in different seasons of the planned horizontal year based on the historical load conditions and the economic conditions; determines the receiving-end power sources participating in the balance at the receiving-end area location in the planned horizontal year, and performs power, electricity quantity and peak shaving balance analysis based on the receiving-end power sources to obtain the power output conditions of the receiving-end power sources at the receiving-end area location in the planned horizontal year; taking the maximum load conditions in each season as a typical example, determines the external transmission space and demand characteristics required by the receiving-end area location based on the power output conditions of the receiving-end power sources, realizing a full analysis and processing of the load characteristics and demand characteristics of the receiving-end. Then, different power configuration plans are formulated according to the energy resource characteristics of the sending-end base, and the evaluation indexes of each power configuration plan are calculated based on the external transmission space and demand characteristics, and the target power configuration plan is determined based on the evaluation indexes, so that the power plan of the sending-end base can better adapt to the receiving-end demand, and can significantly improve the working efficiency and quality of the energy base capacity ratio.

[0139] According to an embodiment of the present invention, a storage medium is provided, and the storage medium stores at least one executable instruction, and the computer executable instruction can execute the power configuration method based on receiving-end demand in any of the above method embodiments.

[0140] Figure 6 The structural schematic diagram of a device provided according to an embodiment of the present invention is shown. The specific implementation of the device is not limited in the specific embodiments of the present invention.

[0141] As Figure 6 shown, the device may include: a processor 602, a communication interface 604, a memory 606, and a communication bus 608.

[0142] Wherein: the processor 602, the communication interface 604, and the memory 606 complete mutual communication through the communication bus 608.

[0143] A communication interface 604 for communicating with network elements of other devices such as clients or other servers.

[0144] A processor 602 for executing program 610, which can specifically execute the relevant steps of the above power configuration method based on the requirements of the receiving end.

[0145] Specifically, program 610 may include program code, which includes computer operation instructions.

[0146] The processor 602 may be a central processing unit (CPU), or a specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present invention. One or more processors included in the device may be of the same type of processor, such as one or more CPUs; or may be of different types of processors, such as one or more CPUs and one or more ASICs.

[0147] A memory 606 for storing program 610. The memory 606 may include high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0148] Program 610 can specifically be used to cause the processor 602 to perform the following operations:

[0149] Obtain the historical load and economic conditions of the receiving end area location, and predict the maximum load and electricity consumption conditions in different seasons of the planned reference year based on the historical load and economic conditions;

[0150] Determine the receiving-end power sources participating in the balance at the receiving end area location in the planned reference year, and perform power, electricity quantity, and peak shaving balance analyses based on the receiving-end power sources to obtain the power output conditions of the receiving-end power sources at the receiving end area location in the planned reference year;

[0151] Taking the maximum load conditions in each season as a typical case, determine the external transmission space and demand characteristics required for the receiving end area location based on the power output conditions of the receiving-end power sources;

[0152] Formulate different power configuration plans based on the energy resource characteristics of the sending-end base, measure the evaluation indicators of each power configuration plan through the external transmission space and demand characteristics, and determine the target power configuration plan based on the evaluation indicators.

[0153] Obviously, those skilled in the art should understand that the above-mentioned modules or steps of the present invention can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by program codes executable by the computing device. Thus, they can be stored in a storage device and executed by the computing device. And in some cases, the steps shown or described can be executed in a sequence different from that here, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module for implementation. In this way, the present invention is not limited to any specific combination of hardware and software.

[0154] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A power configuration method based on receiving end requirements, characterized in that: include: Obtain the historical load situation and economic situation of the receiving area, and predict the maximum load situation and power consumption situation in different seasons in the planned horizontal year based on the historical load situation and economic situation; Determine the receiving power source participating in the balance in the planned horizontal year at the receiving area location, and perform power, electricity and peak load balance analysis based on the receiving power source to obtain the power output of the receiving power source at the receiving area location in the planned horizontal year; Taking the peak load conditions in each season as a typical example, determining the required external transmission space and demand characteristics of the receiving area location based on the power output conditions of the receiving power source; Different power configuration plans are formulated based on the energy resource characteristics of the sending base, and the evaluation indicators of each power configuration plan are calculated through the external transmission space and the demand characteristics, and the target power configuration plan is determined based on the evaluation indicators.

2. The method according to claim 1, characterized in that The forecast of the maximum load and power consumption in different seasons in the planned horizontal year based on the historical load and economic conditions includes: Dividing the historical load conditions and the corresponding economic conditions by season to obtain training data sets for different seasons; Using the training data sets corresponding to each season to train the load forecasting models corresponding to each season; The peak load conditions in each season of the planned horizontal year are predicted based on the load prediction model corresponding to each season; and the power consumption conditions are determined based on the peak load conditions.

3. The method according to claim 1, characterized in that The power, electricity and peak load balance analysis based on the receiving power source is performed to obtain the power output of the receiving power source at the receiving area in the planning level year, including: Determine the total operating cost of the power system in the receiving area based on the power source type and installed capacity of the receiving power source; Establishing a receiving area optimization model by calculating the minimum value of the total operating cost as a comprehensive objective function; The receiving-end area optimization model is optimized and solved to obtain the power output of the receiving-end power source; and the power market space of the receiving-end area is determined in combination with the output of the existing power source at the receiving end.

4. The method according to claim 3, characterized in that The determining the total operating cost of the receiving-end regional power system based on the power source type and installed capacity of the receiving-end power source includes: Determine the unit power generation cost of each power source type in each time period; Determine the cost of curtailing electricity from renewable energy sources in each period; The total operating cost is determined based on the power generation cost and the power abandonment cost.

5. The method according to claim 1, characterized in that The method of determining the required external transmission space and demand characteristics of the receiving end area location based on the power output of the receiving end power source and taking the peak load conditions of each season as a typical example includes: Calculate the difference between the peak load condition and the power output condition in each season, and determine the external transmission space required for the receiving area location corresponding to each season; The demand characteristics of the delivery space are analyzed by time period to obtain the demand characteristics in each planning time period.

6. The method according to claim 1, characterized in that Different power supply configuration plans are formulated based on the energy resource characteristics of the sending end base, including: Determine the new energy sources with different installed capacity ratios as the power configuration scheme of the sending-end base; or, Determine the new energy power source and the regulating power source with different installed capacity ratios as the power configuration scheme of the sending-end base; or, New energy power sources, traditional power sources and regulated power sources with different installed capacity ratios are determined as the power supply configuration plan for the sending-end base.

7. The method according to any one of claims 1 to 6, characterized in that: The evaluation indicators of the power configuration plan include channel utilization hours, new energy power abandonment rate and levelized cost per kilowatt-hour.

8. A power configuration device based on receiving end requirements, characterized in that: include: A prediction module is used to obtain the historical load situation and economic situation of the receiving end area, and predict the maximum load situation and power consumption situation in different seasons in the planning level year based on the historical load situation and the economic situation; An output analysis module is used to determine the receiving power source participating in the balance at the receiving area in the planned horizontal year, and perform power, electricity and peak load balance analysis based on the receiving power source to obtain the power output of the receiving power source at the receiving area in the planned horizontal year; A receiving-end demand analysis module, used to determine the required external transmission space and demand characteristics of the receiving-end area location based on the power output of the receiving-end power source, taking the peak load conditions in each season as a typical example; The scheme determination module is used to formulate different power supply configuration schemes based on the energy resource characteristics of the sending base, and calculate the evaluation indicators of each power supply configuration scheme through the external transmission space and the demand characteristics, and determine the target power supply configuration scheme based on the evaluation indicators.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction executes an operation corresponding to the power configuration method based on receiving end requirements as described in any one of claims 1 to 7.

10. A device comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform operations corresponding to the power configuration method based on the receiving end requirements as described in any one of claims 1-7.

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