Power supply configuration method and device based on receiving end requirements, storage medium, and equipment

Abstract

The present invention discloses a power supply configuration method and device, storage medium, and equipment based on receiving-end demand, which relate to the field of power dispatching technology. The method mainly aims to solve the mismatch problem between the existing energy configuration scheme that only considers the energy characteristics of the sending end and the actual demand of the receiving end, including obtaining the historical load situation and economic situation of the receiving end area location, and predicting the maximum load situation and power consumption situation in different seasons of the planning level year; determining the receiving end power sources participating in the balance in the planning level year at the receiving end area location, and performing power, electricity and peak-shaving balance analysis to obtain the power output situation of the receiving end power sources at the receiving end area location in the planning level year; taking the maximum load situation in each season as a typical example, determining the external transmission space and demand characteristics required for the receiving end area location; formulating different power supply configuration schemes based on the energy resource characteristics of the sending end base, and calculating the evaluation index of each power supply configuration scheme, and determining the target power supply configuration scheme based on the evaluation index.

Description

Technical Field

[0001] The present invention relates to the field of power dispatching technology, and in particular to a power supply configuration method and device based on receiving end requirements, a storage medium, and equipment. Background Art

[0002] At present, in order to solve the mismatch between electricity resources and economic development, the method of transmitting electricity from the sending area to the receiving area is adopted.

[0003] In the prior art, the sending region mainly transmits surplus electricity to the receiving region based on its own energy characteristics. However, with the development of new energy, the intermittent and volatile nature of new energy power generation has made the power transmission configuration scheme based on the energy characteristics of the sending region increasingly mismatched with the actual demand of the receiving region. For example, the prior art discloses a regulatory resource configuration model based on the energy characteristics of the sending region that takes into account the external transmission demand of the new energy base. The model uses a typical daily power transmission target curve and a typical daily wind / solar power generation scenario extracted based on an adaptive clustering algorithm as inputs to the regulatory resource configuration model. The objective function is solved according to the constraints to obtain a regulatory resource configuration scheme. It can be seen that the above-mentioned existing schemes mainly consider the characteristics of their own energy resources, and there is little analysis of the load characteristics and demand characteristics of the receiving region. The analysis scale is also mainly based on typical days. Therefore, the resulting regulatory resource configuration scheme is significantly different from the actual demand of the receiving end. Summary of the Invention

[0004] In view of this, the present invention provides a power configuration method and device, storage medium, and equipment based on the needs of the receiving end, the main purpose of which is to solve the mismatch problem between the existing energy configuration scheme 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 supply configuration method based on receiving end requirements is provided, comprising:

[0006] Obtaining historical load conditions and economic conditions at the receiving end area, and predicting peak load conditions and electricity consumption conditions in different seasons in the planned year based on the historical load conditions and economic conditions;

[0007] Determine the receiving power sources participating in balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources at the receiving area in the planned horizontal year;

[0008] Taking the peak load conditions in each season as a typical example, determining the required outbound transmission space and demand characteristics of the receiving area location based on the power output of the receiving power source;

[0009] 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.

[0010] Furthermore, the forecasting of the peak load and power consumption in different seasons of the planned level 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 forecasting models corresponding to each season;

[0013] The peak load conditions in each season of the planned horizontal year are predicted based on the load forecasting models corresponding to each season; and the power consumption conditions are determined based on the peak load conditions.

[0014] Furthermore, the power, electricity, and peak load balance analysis is performed based on the receiving power source to obtain the power output of the receiving power source at the receiving area in the planning level year, including:

[0015] Determining 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;

[0016] Establishing a receiving area optimization model by taking the minimum value of the total operating cost as the comprehensive objective function;

[0017] 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.

[0018] Furthermore, the determining of 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 includes:

[0019] Determine the unit power generation cost of each power source type in each time period;

[0020] Determine the cost of curtailing electricity from renewable energy in each period;

[0021] The total operating cost is determined based on the power generation cost and the power curtailment cost.

[0022] Furthermore, taking the peak load conditions in each season as a typical example and determining the required outbound transmission space and demand characteristics of the receiving area based on the power output of the receiving power source, includes:

[0023] Calculating the difference between the peak load condition and the power output condition in each season, and determining the external transmission space required by the receiving area location corresponding to each season;

[0024] The demand characteristics of the delivery space are analyzed by time period to obtain the demand characteristics for each planning time period.

[0025] Furthermore, different power supply configuration plans are formulated based on the energy resource characteristics of the sending base, including:

[0026] Determine the new energy power sources with different installed capacity ratios as the power configuration scheme of the sending-end base; or,

[0027] 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,

[0028] New energy power sources, traditional power sources and regulated power sources with different installed capacity ratios are determined as the power supply configuration scheme of the sending-end base.

[0029] Furthermore, the evaluation indicators of the power configuration plan include channel utilization hours, new energy power abandonment rate and levelized cost per kilowatt-hour.

[0030] According to another aspect of the present invention, a power configuration device based on receiving end requirements is provided, comprising:

[0031] A prediction module is used to obtain the historical load conditions and economic conditions of the receiving area, and predict the peak load conditions and power consumption conditions in different seasons of the planning level year based on the historical load conditions and economic conditions;

[0032] An output analysis module is used to determine the receiving power sources participating in the balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources at the receiving area in the planned horizontal year;

[0033] A receiving-end demand analysis module, configured to determine the required outbound delivery space and demand characteristics of the receiving-end area based on the power output of the receiving-end power source, taking the peak load conditions in each season as a typical example;

[0034] The scheme determination module is used to formulate different power configuration schemes based on the energy resource characteristics of the sending base, and calculate the evaluation indicators of each power configuration scheme through the outbound delivery space and the demand characteristics, and determine the target power configuration scheme based on the evaluation indicators.

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

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

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

[0038] The peak load conditions in each season of the planned horizontal year are predicted based on the load forecasting models corresponding to each season; and the power consumption conditions are determined based on the peak load conditions.

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

[0040] Determining 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;

[0041] Establishing a receiving area optimization model by taking the minimum value of the total operating cost as the comprehensive objective function;

[0042] 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.

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

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

[0045] Determine the cost of curtailing electricity from renewable energy in each period;

[0046] The total operating cost is determined based on the power generation cost and the power curtailment cost.

[0047] Furthermore, the receiving-end demand analysis module is further configured to:

[0048] Calculating the difference between the peak load condition and the power output condition in each season, and determining the external transmission space required by the receiving area location corresponding to each season;

[0049] The demand characteristics of the delivery space are analyzed by time period to obtain the demand characteristics for each planning time period.

[0050] Furthermore, the solution determination module includes a solution formulation unit, which is configured to:

[0051] Determine the new energy power sources with different installed capacity ratios as the power configuration scheme of the sending-end base; or,

[0052] 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,

[0053] New energy power sources, traditional power sources and regulated power sources with different installed capacity ratios are determined as the power supply configuration scheme of the sending-end base.

[0054] Furthermore, the evaluation indicators of the power configuration scheme in the scheme determination module include channel utilization hours, new energy power abandonment rate and levelized cost per kilowatt-hour.

[0055] According to another aspect of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, wherein the executable instruction enables a processor to execute operations corresponding to the above-mentioned power configuration method based on receiving end requirements.

[0056] According to another aspect of the present invention, there is provided 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;

[0057] 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 requirements of the receiving end.

[0058] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0059] The present invention provides a power supply configuration method and apparatus, storage medium, and equipment based on receiving-end demand. Compared with the prior art, the present invention obtains the historical load and economic conditions of the receiving-end area, and predicts the peak load and power consumption conditions in different seasons of the planning level year based on the historical load and economic conditions; determines the receiving-end power sources participating in the balance of the receiving-end area in the planning level year, and performs power, electricity, and peak-shaving balance analysis based on the receiving-end power sources to obtain the power output of the receiving-end power sources at the receiving-end area in the planning level year; takes the peak load conditions of each season as a typical example, and determines the required outbound transmission space and demand characteristics of the receiving-end area based on the power output of the receiving-end power sources, thereby achieving a comprehensive analysis and processing of the load and demand characteristics of the receiving end. Different power supply configuration plans are then formulated based on the energy resource characteristics of the sending-end base, and evaluation indicators of each power supply configuration plan are calculated based on the outbound transmission space and demand characteristics. A target power supply configuration plan is determined based on the evaluation indicators, so that the power supply plan of the sending-end base can better adapt to the receiving-end demand, which can significantly improve the efficiency and quality of the energy base capacity allocation.

[0060] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are specifically listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0062] Figure 1 A schematic diagram showing a flow chart of a power configuration method based on receiving end requirements provided by an embodiment of the present invention;

[0063] Figure 2 A schematic diagram showing a flow chart of another power configuration method based on receiving end requirements provided by an embodiment of the present invention;

[0064] Figure 3 A schematic diagram showing a flow chart of another power configuration method based on receiving end requirements provided by an embodiment of the present invention;

[0065] Figure 4 A schematic diagram showing different power supply configuration solutions and their corresponding evaluation indicators provided by an embodiment of the present invention;

[0066] Figure 5 A schematic structural diagram of a power configuration device based on receiving end requirements provided by an embodiment of the present invention is shown;

[0067] Figure 6 A schematic structural diagram of a computer device provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0068] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying 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. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0069] The embodiment of the present invention provides a power configuration method based on the needs of the receiving end, such as Figure 1 As shown, the method includes:

[0070] 101. Obtain historical load conditions and economic conditions at the receiving end location, and predict peak load conditions and electricity consumption conditions in different seasons in the planned year based on the historical load conditions and economic conditions;

[0071] In an embodiment of the present invention, the current execution end collects the current status and planning data of the power system related to the location of the receiving end area, including load data, power supply data, grid data, etc., based on the location of the receiving end area, 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 of the receiving end area at each monitoring moment under the current status of the power system. The economic conditions represent the relevant economic indicators representing the economic level of the receiving end area during 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 an embodiment of the present invention, after obtaining the historical load conditions and economic conditions, the current execution end also performs forecasting processing based on the historical load conditions and economic conditions to obtain the maximum load conditions and electricity consumption conditions in different seasons in the planned horizontal year. Among them, the forecasting processing for the load conditions and economic conditions represents the forecast of the electricity market demand for the receiving end area when the economic conditions change in the future. Specifically, regression analysis, neural network models, grayscale prediction models, support vector machine models and other methods can be used. The embodiment of the present invention does not make specific limitations. Among them, the planned horizontal year refers to the target year of the plan. Among them, the electricity consumption situation represents the total amount of electric energy consumed by the receiving end area during a certain monitoring period, usually in kilowatt-hours (kWh).

[0073] 102. Determine the receiving power sources participating in balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain power output of the receiving power sources at the receiving area in the planned horizontal year.

[0074] In an embodiment of the present invention, the current execution end determines the receiving power sources participating in the balance at the receiving area location in the planned horizontal year, including the existing power sources at the receiving area location and the newly added power sources at the receiving area location, based on the planning content of the receiving area location recorded in the data. The current execution end also performs power, electricity, and peak-shaving balance analysis based on the receiving power source to obtain the power output of the receiving power source at the receiving area location corresponding to the planned horizontal year. Among them, the power balance analysis characterizes the analysis of whether the receiving power sources participating in the balance at the receiving area location can meet the power peak load demand. The electricity balance analysis characterizes the analysis of whether the receiving power sources participating in the balance at the receiving area location can meet the electricity demand within a period of time. The peak-shaving balance analysis characterizes the stable operation of the power grid achieved through the adjustment method of peak-shaving on the receiving load side and / or peak-shaving on the receiving energy storage side.

[0075] 103. Taking the peak load conditions in each season as a typical example, determine the required external transmission space and demand characteristics of the receiving area based on the power output of the receiving power source;

[0076] In an embodiment of the present invention, the current execution end takes the peak load conditions of each season predicted in step 101 as a typical example, and determines the external transmission space required for the receiving end area location based on the power output of the receiving end power supply obtained in step 102. The external transmission space required for the receiving end area location represents that the power output of the receiving end area location itself cannot meet the load demand of the receiving end, and thus the power space that needs to be obtained from the sending end. The current execution end also analyzes the demand characteristics of the receiving end area location based on the peak load conditions of each season and the power output of the receiving end power supply, wherein the demand characteristics can reflect the demand characteristics of the receiving end area location in different time periods, such as the demand characteristics during the lunch peak and evening peak, etc., which are not specifically limited in the embodiment of the present invention.

[0077] 104. Formulate different power configuration plans based on the energy resource characteristics of the sending base, calculate the evaluation indicators of each power configuration plan through the external transmission space and the demand characteristics, and determine the target power configuration plan based on the evaluation indicators.

[0078] In an 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, wherein the power configuration scheme may be a combination of different types of power sources, such as a power combination of wind power and photovoltaic power generation, a power combination of wind power, photovoltaic power generation and thermal power, etc., which is not specifically limited in the embodiment of the present invention. The current execution end also calculates the evaluation indicators of each power configuration scheme through the external transmission space and demand characteristics obtained in step 103, wherein the evaluation indicators may include channel utilization hours, new energy power abandonment rate, levelized cost per kilowatt-hour, etc., which is 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 indicators obtained by the above calculations. The specific calculation formula of the levelized cost per kilowatt-hour in the evaluation indicators 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 of the above embodiment, in order to fully consider the impact of the economy on the load and improve the load forecast accuracy in the forecast level year, another power supply configuration method based on the demand of the receiving end is provided, such as Figure 2 As shown, the steps of predicting the peak load and electricity consumption in different seasons of the planned horizontal year based on the historical load situation and the economic situation 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 an embodiment 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 the economic indicators corresponding to each season (GDP and / or GNP) are added to the divided historical load data to obtain training data sets for each season. This is not specifically limited in the embodiment of the present invention.

[0084] 202. Using the training data sets corresponding to each season, train a load forecasting model corresponding to each season;

[0085] In this embodiment of the present invention, the current execution terminal uses the training dataset corresponding to each season to perform model training processing to obtain a load forecasting model corresponding to each season. The model training process can use a neural network model, a grayscale prediction model, a support vector machine model, or other models, which are not specifically limited in this embodiment of the present invention.

[0086] 203. Predict the peak load conditions in each season of the planned horizontal year based on the load forecasting model corresponding to each season; and determine the power consumption conditions based on the peak load conditions.

[0087] In an embodiment of the present invention, the current execution end predicts the peak load conditions in each season of the planning level year based on the load forecasting model corresponding to each season obtained through training in step 202. The peak load condition can be represented by a load curve, which can more intuitively show the load power in each time period. The current execution end performs statistical processing on the peak load condition to obtain the power consumption corresponding to the statistical time period. For example, the power consumption conditions for 24 hours a day or for an entire year can be calculated, which is not specifically limited in the embodiment of the present invention.

[0088] Furthermore, as a refinement and extension of the specific implementation of the above embodiment, in order to save the operating cost of the power system in the receiving area through the adjustment method, another power supply configuration method based on the receiving end demand is provided, such as Figure 3 As shown, the steps are based on the power, electricity and peak load balance analysis of the receiving power supply to obtain the power output of the receiving power supply at the receiving area in the planning level year, including:

[0089] 301. 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;

[0090] In the embodiment of the present invention, the current execution end determines the total operating cost of the power system in the receiving end region based on the power type and installed capacity of the receiving end power source. Specifically, the power generation cost of the unit of the power type of the receiving end power source in each time period is determined. For example, the power generation cost of coal-fired power in the tth time period is recorded as The cost of fuel for power generation in period t is recorded as The cost of gas-fired power generation in period t is recorded as The cost of hydropower generation in period t is recorded as The cost of nuclear power generation in period t is recorded as The power generation cost of chemical energy storage in period t is recorded as The power generation cost of pumped storage in period t is recorded as The embodiment of the present invention does not make specific limitations. Then, the current execution end determines the cost of abandoned electricity of new energy in each period, which is recorded as Among them, λ RC represents the cost coefficient of abandoned electricity from new energy, represents the amount of renewable energy curtailment in period t. Finally, the current execution end adds the above power generation cost and curtailment cost to obtain the total operating cost, which is expressed as follows:

[0091]

[0092] Where T represents the statistical period.

[0093] 302. Establishing a receiving area optimization model by calculating the minimum value of the total operating cost as a comprehensive objective function;

[0094] In the embodiment of the present invention, the current execution end uses the minimum value of the total operation cost determined in step 301 as the comprehensive objective function to establish the receiving end region optimization model. The specific formula is as follows:

[0095]

[0096] Among them, f1 represents the comprehensive objective function.

[0097] It should be noted that the power generation cost of each of the above power types can be determined by the power generation characteristics of the corresponding units.

[0098] 303. Optimize and solve the receiving area optimization model to obtain the power output of the receiving power source; and determine the power market space at the receiving area location in combination with the output of the existing power source at the receiving end.

[0099] In this embodiment of the present invention, the current execution end optimizes and solves the receiving-end regional optimization model to obtain the receiving-end power output. It should be noted that during this optimization process, constraints corresponding to various power types must also be considered, including constraints related to hydropower, thermal power, and energy storage, which are not specifically limited in this 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 based on the output of the existing power supply at the receiving end. Specifically: power market space = load - output of the existing power supply.

[0101] Furthermore, as a refinement and expansion of the specific implementation of the above embodiment, in order to better meet the electricity demand of the receiving area, another power supply configuration method based on the receiving end demand is provided. The steps are based on the peak load conditions in each season as a typical example, and the power output of the receiving end power supply is used to determine the required external transmission space and demand characteristics of the receiving area, including:

[0102] Calculating the difference between the peak load condition and the power output condition in each season, and determining the external transmission space required by the receiving area location corresponding to each season;

[0103] The demand characteristics of the delivery space are analyzed by time period to obtain the demand characteristics for each planning time period.

[0104] In an embodiment of the present invention, the current execution end calculates the difference between the peak load and the power output in each season. Specifically, the difference calculation can be performed by time period, that is, the power difference between the load power and the power output in the tth time period is calculated to obtain the power difference corresponding to each time period, thereby determining the delivery space required by the receiving end area location corresponding to each season in each time period. Next, the current execution end performs a demand characteristic analysis of the delivery space by time period, such as visually displaying the delivery space required by the receiving end area location for 24 hours in the form of a curve, and then dividing the noon peak period and evening peak period corresponding to each season within 24 hours based on the rising and falling trends of the curve, and then counting the delivery demand during the noon peak period and the delivery demand during the evening peak period of the corresponding season to obtain the demand characteristics of each planning time period.

[0105] Furthermore, as a refinement and extension of the above-mentioned specific implementation methods, in order to improve the efficiency of analyzing power configuration solutions at the sending-end base, another power configuration method based on receiving-end requirements is provided. The steps of formulating different power configuration solutions based on the energy resource characteristics of the sending-end base include:

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

[0107] 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,

[0108] New energy power sources, traditional power sources and regulated power sources with different installed capacity ratios are determined as the power supply configuration scheme of the sending-end base.

[0109] In an embodiment of the present invention, the current execution end may determine new energy power sources with different installed capacity ratios as the power configuration scheme for the sending end base; may also determine new energy power sources and regulated power sources with different installed capacity ratios as the power configuration scheme for the sending end base; may also determine new energy power sources, traditional power sources, and regulated power sources with different installed capacity ratios as the power configuration scheme for the sending end base, and the embodiment of the present invention does not specifically limit this. It should be noted that the formulation of the power configuration scheme should conform to the actual power carrying capacity of the sending end base.

[0110] In this embodiment of the present invention, a research and analysis was conducted using a base in northwest my country as the sending end and a province in East China as the receiving end. Based on the commissioning and retirement plans of relevant power grid sources, the receiving grid's installed power capacity (including power transmitted from outside the region) contributing to the power balance in 2035 was 321,457 MW. Based on load forecast results and a power balance analysis and calculation for 2035, the calculation results showed that the receiving grid's power market potential in 2035 was 10,842 MW, with a power gap of 28.43 billion kWh and 2,622 hours of supplementary power utilization.

[0111] Taking the maximum load days of spring, summer, autumn and winter as typical examples, wind power considers the actual wind power output of the four seasons, and considers the output corresponding to the wind power anti-peak amplitude frequency regulation (P = about 95%). Photovoltaic uses the output corresponding to the photovoltaic output frequency regulation (P = 50%) of the four seasons. On this basis, the corresponding maximum load conditions of each season are analyzed and calculated, and then the receiving power sources participating in the balance in the receiving area in 2035 are considered to determine the external transmission demand of the receiving power grid in the four seasons. For example, the minimum power transmission requirement of 5000MW must be met during the noon peak (11-12 o'clock, 14-17 o'clock) and the evening peak (20 o'clock - 23 o'clock). In order not to meet the above minimum power transmission requirements, the current execution end can control the wind and solar installed capacity ratio to 1:2, and control the total scale of thermal power and energy storage to 4000MW. By adjusting the total installed capacity of new energy and the installed capacity of thermal power and energy storage for simulation calculations, the evaluation indicators of the corresponding configuration plan are obtained, such as Figure 4 shown.

[0112] The embodiments of the present invention provide a power supply configuration method based on receiving-end demand. Compared with the prior art, the present invention obtains the historical load and economic conditions of the receiving-end area, and predicts the peak load and power consumption in different seasons of the planning level year based on the historical load and economic conditions; determines the receiving-end power sources participating in the balance in the planning level year at the receiving-end area, and performs power, electricity, and peak-shaving balance analysis based on the receiving-end power sources to obtain the power output of the receiving-end power sources at the receiving-end area in the planning level year; takes the peak load conditions in each season as a typical example, and determines the required outbound transmission space and demand characteristics of the receiving-end area based on the power output of the receiving-end power sources, thereby achieving a comprehensive analysis and processing of the load and demand characteristics of the receiving end. Different power supply configuration plans are then formulated based on the energy resource characteristics of the sending-end base, and evaluation indicators of each power supply configuration plan are calculated based on the outbound transmission space and demand characteristics. A target power supply configuration plan is determined based on the evaluation indicators, so that the power supply plan of the sending-end base can better adapt to the needs of the receiving end, significantly improving the efficiency and quality of the energy base capacity allocation.

[0113] As the above Figure 1 The embodiment of the present invention provides a power configuration device based on the needs of the receiving end, such as Figure 5 As shown, the device includes:

[0114] The prediction module 41 is used to obtain the historical load and economic conditions of the receiving area, and predict the peak load and power consumption in different seasons of the planning year based on the historical load and economic conditions;

[0115] The output analysis module 42 is used to determine the receiving power sources participating in the balancing in the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources in the receiving area in the planned horizontal year;

[0116] The receiving-end demand analysis module 43 is configured to determine the required outbound delivery space and demand characteristics of the receiving-end area based on the power output of the receiving-end power source, taking the peak load conditions in each season as a typical example;

[0117] The scheme determination module 44 is used to formulate different power configuration schemes based on the energy resource characteristics of the sending base, and calculate the evaluation indicators 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 indicators.

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

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

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

[0121] The peak load conditions in each season of the planned horizontal year are predicted based on the load forecasting models corresponding to each season; and the power consumption conditions are determined based on the peak load conditions.

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

[0123] Determining 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;

[0124] Establishing a receiving area optimization model by taking the minimum value of the total operating cost as the comprehensive objective function;

[0125] 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.

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

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

[0128] Determine the cost of curtailing electricity from renewable energy in each period;

[0129] The total operating cost is determined based on the power generation cost and the power curtailment cost.

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

[0131] Calculating the difference between the peak load condition and the power output condition in each season, and determining the external transmission space required by the receiving area location corresponding to each season;

[0132] The demand characteristics of the delivery space are analyzed by time period to obtain the demand characteristics for each planning time period.

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

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

[0135] 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,

[0136] New energy power sources, traditional power sources and regulated power sources with different installed capacity ratios are determined as the power supply configuration scheme of the sending-end base.

[0137] Furthermore, the evaluation indicators of the power configuration scheme in the scheme determination module 44 include channel utilization hours, new energy power abandonment rate and levelized cost per kilowatt-hour.

[0138] The embodiments of the present invention provide a power supply configuration device based on receiving-end demand. Compared with the prior art, the present invention obtains the historical load and economic conditions of the receiving-end region, and predicts the peak load and power consumption conditions in different seasons of the planning level year based on the historical load and economic conditions; determines the receiving-end power sources participating in the balance in the planning level year at the receiving-end region, and performs power, electricity, and peak-shaving balance analysis based on the receiving-end power sources to obtain the power output of the receiving-end power sources at the receiving-end region in the planning level year; takes the peak load conditions in each season as a typical example, and determines the required outbound transmission space and demand characteristics of the receiving-end region based on the power output of the receiving-end power sources, thereby achieving a comprehensive analysis and processing of the load and demand characteristics of the receiving end. Different power supply configuration plans are then formulated based on the energy resource characteristics of the sending-end base, and evaluation indicators of each power supply configuration plan are calculated based on the outbound transmission space and demand characteristics. A target power supply configuration plan is determined based on the evaluation indicators, so that the power supply plan of the sending-end base can better adapt to the needs of the receiving end, significantly improving the efficiency and quality of the energy base capacity allocation.

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

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

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

[0142] The processor 602 , the communication interface 604 , and the memory 606 communicate with each other via a communication bus 608 .

[0143] The communication interface 604 is used to communicate with other devices such as clients or other servers.

[0144] The processor 602 is configured to execute the program 610, and specifically to execute the relevant steps of the above-mentioned power configuration method based on the receiving end requirements.

[0145] Specifically, the program 610 may include program codes, which include computer operation instructions.

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

[0147] The memory 606 is used to store the program 610. The memory 606 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0148] The program 610 may be specifically configured to enable the processor 602 to perform the following operations:

[0149] Obtaining historical load conditions and economic conditions at the receiving end area, and predicting peak load conditions and electricity consumption conditions in different seasons in the planned year based on the historical load conditions and economic conditions;

[0150] Determine the receiving power sources participating in balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources at the receiving area in the planned horizontal year;

[0151] Taking the peak load conditions in each season as a typical example, determining the required outbound transmission space and demand characteristics of the receiving area location based on the power output of the receiving power source;

[0152] 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.

[0153] Obviously, those skilled in the art will appreciate that the various modules or steps of the present invention described above can be implemented using a general-purpose computing device, centralized on a single computing device, or distributed across a network of multiple computing devices. Alternatively, they can be implemented using program code executable by a computing device, which can then be stored in a storage device and executed by the computing device. In some cases, the steps shown or described can be performed in a different order than that shown, or can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0154] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A power configuration method based on receiving end requirements, characterized in that: include: Obtaining historical load conditions and economic conditions at the receiving end location, and predicting peak load conditions and electricity consumption conditions in different seasons of the planned year based on the historical load conditions and economic conditions; the economic conditions represent relevant economic indicators representing the economic level of the receiving end location during a certain monitoring period; Determine the receiving power sources participating in balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources at the receiving area in the planned horizontal year; Taking the peak load conditions in each season as a typical example, determining the required outbound transmission space and demand characteristics of the receiving area location based on the power output of the receiving power source; The demand characteristics reflect the demand characteristics of the receiving area at different time periods; 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; the evaluation indicators include at least one of the channel utilization hours, the new energy power abandonment rate, the levelized cost of electricity and the power supply guarantee rate.

2. The method according to claim 1, characterized in that The peak load and power consumption conditions in different seasons of the planned horizontal year are predicted based on the historical load conditions and the economic conditions, including: 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 forecasting models 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 supply is performed to obtain the power output of the receiving power supply at the receiving area in the planning level year, including: Determining 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 taking the minimum value of the total operating cost as the 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 of 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 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 in each period; The total operating cost is determined based on the power generation cost and the power curtailment cost.

5. The method according to claim 1, wherein The method of determining the required external transmission space and demand characteristics of the receiving area location based on the power output of the receiving power source and taking the peak load conditions of each season as a typical example includes: Calculating the difference between the peak load condition and the power output condition in each season, and determining the external transmission space required by 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 for 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 base, including: Determine the new energy power 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 scheme of 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 historical load conditions and economic conditions at the receiving end area, and to predict the peak load conditions and electricity consumption conditions in different seasons of the planning level year based on the historical load conditions and economic conditions; the economic conditions represent relevant economic indicators representing the economic level of the receiving end area during a certain monitoring period; An output analysis module is used to determine the receiving power sources participating in the balancing at the receiving area in the planned horizontal year, and perform power, electricity, and peak load balancing analysis based on the receiving power sources to obtain the power output of the receiving power sources at the receiving area in the planned horizontal year; A receiving-end demand analysis module, configured to determine the required outbound delivery space and demand characteristics of the receiving-end area based on the power output of the receiving-end power source, taking the peak load conditions in each season as a typical example; The demand characteristics reflect the demand characteristics of the receiving area at different time periods; A scheme determination module is used to formulate different power configuration schemes based on the energy resource characteristics of the sending base, and calculate the evaluation indicators 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 indicators; the evaluation indicators include at least one of the channel utilization hours, the new energy power abandonment rate, the levelized cost of electricity and the power supply guarantee rate.

9. A storage medium storing at least one executable instruction, wherein the executable instruction executes an operation corresponding to the power configuration method based on receiving end requirements according to any one of claims 1 to 7.

10. A device for performing power configuration based on receiving end requirements, 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 receiving end requirements as described in any one of claims 1 to 7.

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