Wind power and electric heat combined system dispatching control method considering flexible load

Abstract

The invention relates to the technical field of electric power operation and maintenance data processing, provides a wind power and electric heat combined system dispatching control method considering flexible loads, and aims to solve the problem of wind curtailment caused by wind and heat conflicts of a heat and power cogeneration unit during heating in winter. Regional division, real-time position data acquisition and model construction are performed by acquiring data of a power supply end, historical meteorological information, an electric heating combined system end and a power consumption end, and a total expected power generation value of a wind power equipment region is predicted and compared with power consumption prediction data of wind power equipment in a preset region of a power grid. And if the wind power generation amount is surplus, accessing external electric equipment of the power grid, and utilizing the surplus electric energy. In addition, the expected electric heating value is verified through the electric heating combined system operation model, stable operation of the wind power-containing electric heating combined system with the flexible load is improved, the wind power utilization rate is increased, and matching of power supply and demand is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of power operation and maintenance data processing, and particularly to a dispatching and control method for a wind-electricity-thermal combined system considering flexible loads. Background Art

[0002] A wind-electricity-thermal combined system with flexible loads is an energy management system that organically combines wind power generation, electro-thermal energy, and loads with flexible adjustment capabilities (i.e., flexible loads). In a wind-electricity-thermal combined system with flexible loads, flexible loads can flexibly adjust their electricity consumption behaviors according to grid demands. The flexibility of flexible loads complements the volatility of renewable energy sources such as wind power, effectively balancing the power supply and demand of the grid and improving energy utilization efficiency. Through intelligent dispatching and control technologies, a wind-electricity-thermal combined system with flexible loads can not only enhance the grid's acceptance capacity for renewable energy, promote low-carbon emissions, but also achieve precise matching of power supply and demand, providing strong support for building a more green, intelligent, and stable power system.

[0003] When dispatching and controlling a wind-electricity-thermal combined system with flexible loads, historical wind power data is obtained, including wind power prediction values and actual output. The wind power prediction error distribution under each wind power output interval is obtained through grouped statistics. Combining with the day-ahead wind power prediction value, the output interval of wind power for each time period is determined, and the day-ahead wind power prediction output distribution band is obtained accordingly. Based on the state parameters of the power grid system, wind farms, and building flexible load clusters, an advanced model predictive control algorithm is used to calculate the optimal combined power control signal to guide the power control of wind farms and building flexible load clusters.

[0004] During the dispatching and control process of a wind-electricity-thermal combined system with flexible loads, there are the following technical pain points. During the winter heating period, due to the thermal-wind conflict of the combined heat and power unit, and the thermal-wind conflict of the combined heat and power unit is in dynamic change, the existing wind-electricity-thermal combined system cannot effectively dispatch the thermal-wind conflict of the combined heat and power unit, resulting in wind abandonment, and causing the wind power to not be effectively utilized. Summary of the Invention

[0005] Aiming at the deficiencies of the existing technology, the present invention provides a dispatching and control method for a wind-electricity-thermal combined system considering flexible loads, which solves the problem that during the winter heating period, due to the thermal-wind conflict of the combined heat and power unit, and the thermal-wind conflict of the combined heat and power unit is in dynamic change, the existing wind-electricity-thermal combined system cannot effectively dispatch the thermal-wind conflict of the combined heat and power unit, resulting in wind abandonment, and causing the wind power to not be effectively utilized.

[0006] To solve the above technical problems, the specific technical solution of the present invention is as follows: The present invention provides a dispatching and control method for a combined electric and thermal system with wind power considering flexible loads, including: Step S101: Obtain power supply end data, historical meteorological information, combined electric and thermal system end data, and power consumption end data. The power supply end data includes historical wind power output data, historical operation data of wind power equipment, and historical location data of wind power equipment. The combined electric and thermal system end data includes historical state parameters of the power grid system, state parameters of cogeneration units, and power supply state parameters. The power consumption end data includes historical data of power consumption equipment in a preset area of the power grid, location data of power consumption equipment in a preset area of the power grid, information of external power consumption equipment of the power grid, and location data of external power consumption equipment of the power grid; Step S102: Divide the wind power equipment into regions according to the historical location data of the wind power equipment to obtain the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data. Divide the power consumption equipment in the preset area of the power grid into regions according to the location data of the power consumption equipment in the preset area of the power grid to obtain the first power consumption equipment region data, the second power consumption equipment region data, the third power consumption equipment region data, and the fourth power consumption equipment region data; Step S103: Collect the location data of the wind power equipment in the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data to obtain the updated location of the wind power equipment in the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data. Use the updated location of the wind power equipment in the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data as the real-time wind power equipment location. Establish a corresponding relationship between the updated first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data and the meteorological information according to the real-time wind power equipment location to obtain the first wind power equipment region data set, the second wind power equipment region data set, the third wind power equipment region data set, and the fourth wind power equipment region data set. Construct a first wind power equipment region power generation simulation model based on the first wind power equipment region data set and the combined electric and thermal system end data, construct a second wind power equipment region power generation simulation model based on the second wind power equipment region data set and the combined electric and thermal system end data, construct a third wind power equipment region power generation simulation model based on the third wind power equipment region data set and the combined electric and thermal system end data, and construct a fourth wind power equipment region power generation simulation model based on the fourth wind power equipment region data set and the combined electric and thermal system end data; Step S104, collecting updated real-time meteorological information of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtaining real-time meteorological information of the first wind power equipment area, real-time meteorological information of the second wind power equipment area, real-time meteorological information of the third wind power equipment area and real-time meteorological information of the fourth wind power equipment area, receiving updated wind power output data of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtaining output data of the first wind power equipment area, output data of the second wind power equipment area, output data of the third wind power equipment area and output data of the fourth wind power equipment area, substituting the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area into the power generation simulation model of the first wind power equipment area, obtaining the wind power output data of the first wind power equipment area, the wind power output data of the second wind power equipment area, the wind power output data of the third wind power equipment area and the wind power output data of the fourth wind power equipment area, substituting the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area into the power generation simulation model of the first wind power equipment area, obtaining the wind power output data of the first wind power equipment area, the wind power output data of the second wind power equipment area, the wind power output data of the third wind power equipment area and the wind power output data of the fourth wind power area, substituting the real-time meteorological information of the first wind power equipment area and the wind power ... Prepare expected power generation data for the second wind power equipment area, substitute the real-time meteorological information of the second wind power equipment area and the output data of the second wind power equipment area into the power generation simulation model of the second wind power equipment area to obtain the expected power generation data of the second wind power equipment area, substitute the real-time meteorological information of the third wind power equipment area and the output data of the third wind power equipment area into the power generation simulation model of the third wind power equipment area to obtain the expected power generation data of the third wind power equipment area, substitute the real-time meteorological information of the fourth wind power equipment area and the output data of the fourth wind power equipment area into the power generation simulation model of the fourth wind power equipment area to obtain the expected power generation data of the fourth wind power equipment area, summarize the expected power generation data of the first wind power equipment area, the expected power generation data of the second wind power equipment area, the expected power generation data of the third wind power equipment area and the expected power generation data of the fourth wind power equipment area to obtain the total expected power generation value of the wind power equipment area; Step S105, using the historical data of power users in the preset area of ​​the power grid, the location data of power users in the preset area of ​​the power grid and the historical meteorological information, constructing a power consumption model of power users in the preset area of ​​the power grid, collecting real-time data of power users in the preset area of ​​the power grid, substituting the real-time data of power users in the preset area of ​​the power grid into the power consumption model of power users in the preset area of ​​the power grid, obtaining power consumption forecast data of power users in the preset area of ​​the power grid, comparing the power consumption forecast data of power users in the preset area of ​​the power grid with the expected total power generation value of the wind power equipment area, if the expected total power generation value of the wind power equipment area is greater than the power consumption forecast data of power users in the preset area of ​​the power grid, connecting power users outside the power grid, and transmitting the remaining electric energy after the wind power equipment supplies power to the power users in the preset area of ​​the power grid to the power users outside the power grid.

[0007] Furthermore, the dispatching control method for a wind power and electric heat combined system considering flexible loads described in the present invention, step S101 includes: Integrate the historical output data of wind power, the historical operation data of wind power equipment, the historical location data of wind power equipment, the historical state parameters of the power grid system, the state parameters of combined heat and power units, the power source state parameters, the historical data of power consumption equipment in the preset area of the power grid, the location data of power consumption equipment in the preset area of the power grid, the information of external power consumption equipment of the power grid, and the location data of external power consumption equipment of the power grid to form a data set; Use the historical state parameters of the power grid system, the state parameters of combined heat and power units, and the power source state parameters to construct an operation model of the combined heat and power system. The operation model of the combined heat and power system is used to simulate the heat supply of combined heat and power units.

[0008] Furthermore, in the dispatching and control method of the combined heat and power system with wind power considering flexible loads according to the present invention, step S102 includes: Extract the location information of the wind power equipment from the historical location data of the wind power equipment obtained in step S101. The location information of the wind power equipment includes longitude, latitude, and geographical coordinates; Receive and determine the first division criterion, which includes the distance between the geographical locations of wind power equipment, the density of wind power equipment, and the similarity of wind speed and direction; Use the preset geographical information division software to divide the wind power equipment into regions according to the determined first division criterion, and obtain the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data.

[0009] Furthermore, in the dispatching and control method of the combined heat and power system with wind power considering flexible loads according to the present invention, step S102 includes: Obtain the historical data of power consumption equipment in the preset area of the power grid and the location data of power consumption equipment in the preset area of the power grid from step S101. The location data of power consumption equipment in the preset area of the power grid includes longitude, latitude, and geographical coordinates; Receive and determine the second division criterion, which includes the distance between the geographical locations of power consumption equipment in the preset area of the power grid and the density of power consumption equipment in the preset area of the power grid; Use the preset geographical information division software to divide the power consumption equipment in the preset area of the power grid into regions according to the determined second division criterion, and obtain the first power consumption equipment region data, the second power consumption equipment region data, the third power consumption equipment region data, and the fourth power consumption equipment region data.

[0010] Furthermore, in the dispatching and control method of the combined heat and power system with wind power considering flexible loads according to the present invention, step S103 includes: Collect real-time position data for all wind power equipment in the first wind power equipment area, the second wind power equipment area, the third wind power equipment area, and the fourth wind power equipment area, and update the collected real-time position data to the corresponding wind power equipment area data to obtain the updated first wind power equipment area data, second wind power equipment area data, third wind power equipment area data, and fourth wind power equipment area data; Obtain real-time meteorological information, where the meteorological information includes wind speed, wind direction, temperature, and air pressure; Match the real-time position information in the updated wind power equipment area data with the meteorological information. According to the matching result, combine the data of each wind power equipment area with the corresponding meteorological information to form a first wind power equipment area data set, a second wind power equipment area data set, a third wind power equipment area data set, and a fourth wind power equipment area data set.

[0011] Further, in the dispatching and control method for a wind power integrated electric-thermal combined system considering flexible load according to the present invention, the step S104 includes: Initialize the total value, and set a variable to store the expected total power generation value of the wind power equipment area, with the initial value set to 0; Add the expected power generation data of the first wind power equipment area to the total value, and then sequentially add the expected power generation data of the second, third, and fourth wind power equipment areas to the total value; The expected total power generation value of the wind power equipment area = the expected power generation data of the first wind power equipment area + the expected power generation data of the second wind power equipment area + the expected power generation data of the third wind power equipment area + the expected power generation data of the fourth wind power equipment area.

[0012] Further, in the dispatching and control method for a wind power integrated electric-thermal combined system considering flexible load according to the present invention, the step S105 includes: Compare the expected total power generation value of the wind power equipment area with the predicted power consumption data of the power consumption equipment in the preset area of the power grid. If the expected total power generation value of the wind power equipment area is greater than the predicted power consumption data of the power consumption equipment in the preset area of the power grid, then continue to execute the subsequent steps; otherwise, it means that the current wind power generation is not enough to meet the power consumption demand in the preset area of the power grid, and there is no need to connect external power consumption equipment to the power grid; Select external power consumption equipment of the power grid for connection according to the difference between the expected total power generation value of the wind power equipment area and the predicted power consumption data of the power consumption equipment in the preset area of the power grid, as well as the type and capacity of the external power consumption equipment of the power grid.

[0013] Further, the dispatching and control method for a wind power integrated electric-thermal combined system considering flexible load according to the present invention further includes: Substitute the expected total power generation value of the wind power equipment area into the operation model of the combined heat and power system to output the expected heat and electricity values of the combined system. If the expected heat and electricity values of the combined system exceed the preset heat and electricity values, connect the external power-consuming equipment of the power grid, and transmit the remaining electric energy after the wind power equipment supplies power to the power-consuming equipment in the preset area of the power grid to the external power-consuming equipment of the power grid.

[0014] Advantages of the present invention: In view of the problem of wind-heat conflict of the combined heat and power unit during winter heating, the present invention proposes an effective dispatching control method. Through real-time data acquisition, model prediction and dynamic dispatching, it can balance the wind power output and the heating demand of the combined heat and power unit, avoid the phenomenon of wind abandonment caused by wind-heat conflict, and improve the utilization rate of wind power.

[0015] By organically combining wind power, heat and electricity energy with flexible loads, the present invention can flexibly adjust the power consumption behavior according to the power grid demand and achieve the efficient utilization of energy. This flexible dispatching method helps to reduce energy waste and improve the energy utilization efficiency of the whole system.

[0016] By enhancing the acceptance capacity of the power grid for renewable energy (such as wind power), the present invention reduces the dependence on fossil fuels, thereby reducing carbon emissions. Through advanced model predictive control algorithms and real-time data acquisition technologies, the present invention can achieve accurate matching of power supply and demand. This helps to reduce power grid fluctuations, improve power supply quality and ensure the stable operation of the power system.

[0017] The present invention improves the flexibility and reliability of the system through methods such as regional division, real-time position data acquisition and model construction. In the face of emergencies or power grid failures, it can quickly respond and take corresponding dispatching measures to ensure the normal operation of the power system. The implementation of the present invention provides strong support for the development of smart grids. Through the application of advanced technologies such as big data and cloud computing, the present invention promotes the intelligent upgrade of the power system and lays a foundation for achieving a higher level of automation, interaction and informatization.

[0018] In summary, the present invention has achieved remarkable beneficial effects in improving energy utilization efficiency, promoting low-carbon emissions, achieving accurate matching of power supply and demand, enhancing system flexibility and promoting the development of smart grids. Brief Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other drawings can also be obtained according to the drawings without creative efforts.

[0020] Figure 1Schematic flowchart of the dispatching and control method for a wind-power integrated electric-thermal combined system considering flexible loads provided by the embodiments of the present invention. Detailed implementation manners

[0021] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Apparently, the described embodiments are only a part rather than all of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below with reference to the drawings. To better understand the objectives of the present invention, the present invention is further described in detail below.

[0022] The present invention provides a dispatching and control method for a wind-power integrated electric-thermal combined system considering flexible loads, including: Step S101: Obtain power supply end data, historical meteorological information, electric-thermal combined system end data, and power consumption end data. The power supply end data includes historical wind power output data, historical operation data of wind power equipment, and historical location data of wind power equipment. The electric-thermal combined system end data includes historical state parameters of the power grid system, state parameters of cogeneration units, and power supply state parameters. The power consumption end data includes historical data of power consumption equipment in a preset area of the power grid, location data of power consumption equipment in a preset area of the power grid, information on external power consumption equipment of the power grid, and location data of external power consumption equipment of the power grid. Power supply end data: Historical wind power output data: Records the actual output of the wind farm at different time points in the past, which is an important basis for understanding the output characteristics and volatility of wind power.

[0023] Historical operation data of wind power equipment: Provides information such as the operation status, fault records, and maintenance history of wind power equipment, which helps to evaluate the reliability and performance of the equipment.

[0024] Historical location data of wind power equipment: Records the geographical location information of wind power equipment, which is necessary for subsequent regional division and location analysis.

[0025] Historical meteorological information: Meteorological data is crucial for wind power output prediction because meteorological conditions such as wind speed, wind direction, temperature, and air pressure directly affect the power generation efficiency of wind power equipment.

[0026] Electric-thermal combined system end data: Historical state parameters of the power grid system: Reflects the operating conditions of the power grid, including parameters such as voltage, current, and frequency, which helps to understand the stability and load capacity of the power grid.

[0027] State parameters of combined heat and power units: Provide information such as the operating status and output of combined heat and power units, which is crucial for analyzing wind-thermal conflicts and formulating dispatching strategies.

[0028] Power source state parameters: Include the status and output of other types of power sources (such as thermal power, hydropower, etc.), which helps to comprehensively understand the power source structure and supply-demand relationship of the system.

[0029] Data at the power consumption end: Historical data of power consumption equipment in the preset area of the power grid: Records the historical load conditions of power consumption equipment in the preset area of the power grid, which is the basis for predicting future power consumption demand.

[0030] Location data of power consumption equipment in the preset area of the power grid: Provides the geographical location information of power consumption equipment, which helps to analyze load distribution and regional supply-demand balance.

[0031] Information on power consumption equipment outside the power grid: Includes the power consumption demand and equipment information of potential users outside the power grid, which is necessary for formulating flexible dispatching strategies to meet external demands.

[0032] Location data of power consumption equipment outside the power grid: The location information of these equipment helps to evaluate the feasibility and efficiency of transmitting surplus electric energy to external users.

[0033] By collecting and analyzing these data, a solid foundation can be provided for subsequent model construction, output prediction, power consumption demand prediction, and dispatching decision-making.

[0034] Step S102: Divide the wind power equipment into regions according to the historical location data of wind power equipment to obtain the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data. Divide the power consumption equipment in the preset area of the power grid into regions according to the location data of the power consumption equipment in the preset area of the power grid to obtain the first power consumption equipment region data, the second power consumption equipment region data, the third power consumption equipment region data, and the fourth power consumption equipment region data. Region division of wind power equipment: Data source: Extract the geographical location information of wind power equipment from the historical location data of wind power equipment obtained in step S101, including longitude, latitude, and possible geographical coordinates.

[0035] Division criteria: Receive and determine the division criteria, which are usually based on factors such as the distance between the geographical locations of wind power equipment, the density of wind power equipment, and the similarity of wind speed and direction. These criteria are designed to ensure that the wind power equipment within each region has certain similarities in geographical location, operating characteristics, etc., which is convenient for subsequent analysis and dispatching.

[0036] Partitioning process: Using a preset geographic information partitioning software or algorithm, and according to the determined partitioning criteria, the wind power equipment is partitioned into regions. In this example, the wind power equipment is partitioned into four regions, obtaining the first wind power equipment region data, the second wind power equipment region data, the third wind power equipment region data, and the fourth wind power equipment region data respectively. Each region data contains the relevant information of all the wind power equipment within that region.

[0037] Partitioning of power consumption equipment regions in the preset power grid regions: Data source: Extract the geographic location information of the power consumption equipment from the historical data and location data of the power consumption equipment in the preset power grid regions obtained in step S101.

[0038] Partitioning criteria: Similarly, receive and determine the partitioning criteria, which are usually based on factors such as the distance between the geographic locations of the power consumption equipment and the density of the power consumption equipment. These criteria are designed to ensure that the power consumption equipment within each region has a certain similarity in terms of geographic location, load characteristics, etc.

[0039] Partitioning process: Using the same geographic information partitioning software or algorithm, and according to the determined partitioning criteria, the power consumption equipment in the preset power grid regions is partitioned into regions. In this example, the power consumption equipment is also partitioned into four regions, obtaining the first power consumption equipment region data, the second power consumption equipment region data, the third power consumption equipment region data, and the fourth power consumption equipment region data respectively. Each region data contains the relevant information of all the power consumption equipment within that region.

[0040] Through the regional partitioning in this step, the large and complex groups of wind power equipment and power consumption equipment can be decomposed into smaller and more manageable units. This not only helps with the accurate prediction of wind power output and power consumption demand in the subsequent stage, but also provides a basis for formulating more refined and efficient scheduling strategies. At the same time, this regional partitioning method also takes into account factors such as geographic location and equipment density, which helps to achieve the optimal allocation and efficient utilization of resources.

[0041] Step S103, collect the position data of the wind power equipment in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data to obtain the updated position of the wind power equipment in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data. Take the updated position of the wind power equipment in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data as the real-time wind power equipment position. According to the real-time wind power equipment position, establish a corresponding relationship between the updated first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data and the meteorological information to obtain the first wind power equipment area data set, the second wind power equipment area data set, the third wind power equipment area data set, and the fourth wind power equipment area data set. Based on the first wind power equipment area data set and the data at the end of the electric-thermal combined system, construct a first wind power equipment area power generation simulation model. Based on the second wind power equipment area data set and the data at the end of the electric-thermal combined system, construct a second wind power equipment area power generation simulation model. Based on the third wind power equipment area data set and the data at the end of the electric-thermal combined system, construct a third wind power equipment area power generation simulation model. Based on the fourth wind power equipment area data set and the data at the end of the electric-thermal combined system, construct a fourth wind power equipment area power generation simulation model; Position data collection and update: Collect the real-time position data of all wind power equipment in each wind power equipment area (the first wind power equipment area, the second wind power equipment area, the third wind power equipment area, the fourth wind power equipment area).

[0042] Update the collected real-time position data into the corresponding wind power equipment area data to reflect the latest position information of the wind power equipment. In this way, the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data are updated to real-time data containing the latest position information.

[0043] Regard the wind power equipment position information in the updated wind power equipment area data of each area as the real-time wind power equipment position. These real-time position information is crucial for subsequent wind power output prediction and dispatching decisions.

[0044] According to the real-time wind power equipment position, establish a corresponding relationship between the updated wind power equipment area data of each area and the current meteorological information (such as wind speed, wind direction, temperature, air pressure, etc.). This is because the wind power output is closely related to the meteorological conditions, and establishing this corresponding relationship helps to more accurately predict the wind power output.

[0045] Through the above steps, four wind power equipment regional data sets are obtained: the first wind power equipment regional data set, the second wind power equipment regional data set, the third wind power equipment regional data set, and the fourth wind power equipment regional data set. Each data set contains the real-time location information of wind power equipment and relevant meteorological information within the corresponding region.

[0046] Construct a power generation simulation model: Based on each wind power equipment regional data set and the data at the end of the combined heat and power system (such as the historical state parameters of the power grid system, the state parameters of the combined heat and power unit, the power supply state parameters, etc.), construct the corresponding power generation simulation model.

[0047] The power generation simulation model is used to simulate and predict the expected power generation capacity of each wind power equipment region under different meteorological conditions and grid states. By considering the real-time location of wind power equipment, meteorological conditions, and the operating status of the combined heat and power system, these models can provide more accurate and reliable wind power output predictions.

[0048] In this step, through the real-time collection and update of the location of wind power equipment and the close combination with meteorological information, a solid foundation is laid for subsequent wind power output prediction and dispatching decision-making. At the same time, by constructing a power generation simulation model for each wind power equipment region, the accuracy and flexibility of wind power output prediction are further improved.

[0049] Step S104, collecting updated real-time meteorological information of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtaining real-time meteorological information of the first wind power equipment area, real-time meteorological information of the second wind power equipment area, real-time meteorological information of the third wind power equipment area and real-time meteorological information of the fourth wind power equipment area, receiving updated wind power output data of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtaining output data of the first wind power equipment area, output data of the second wind power equipment area, output data of the third wind power equipment area and output data of the fourth wind power equipment area, substituting the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area into the power generation simulation model of the first wind power equipment area, obtaining the wind power output data of the first wind power equipment area, the wind power output data of the second wind power equipment area, the wind power output data of the third wind power equipment area and the wind power output data of the fourth wind power equipment area, substituting the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area into the power generation simulation model of the first wind power equipment area, obtaining the wind power output data of the first wind power equipment area, the wind power output data of the second wind power equipment area, the wind power output data of the third wind power equipment area and the wind power output data of the fourth wind power area, substituting the real-time meteorological information of the first wind power equipment area and the wind power ... Prepare expected power generation data for the second wind power equipment area, substitute the real-time meteorological information of the second wind power equipment area and the output data of the second wind power equipment area into the power generation simulation model of the second wind power equipment area to obtain the expected power generation data of the second wind power equipment area, substitute the real-time meteorological information of the third wind power equipment area and the output data of the third wind power equipment area into the power generation simulation model of the third wind power equipment area to obtain the expected power generation data of the third wind power equipment area, substitute the real-time meteorological information of the fourth wind power equipment area and the output data of the fourth wind power equipment area into the power generation simulation model of the fourth wind power equipment area to obtain the expected power generation data of the fourth wind power equipment area, summarize the expected power generation data of the first wind power equipment area, the expected power generation data of the second wind power equipment area, the expected power generation data of the third wind power equipment area and the expected power generation data of the fourth wind power equipment area to obtain the total expected power generation value of the wind power equipment area; Collecting real-time meteorological information: Collecting updated real-time meteorological information of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area. Such meteorological information includes wind speed, wind direction, temperature, air pressure, etc., which is crucial for the prediction of wind power output.

[0050] Receiving updated wind power output data: receiving updated wind power output data of each wind power equipment area, which reflects the actual output of the current wind power equipment.

[0051] Substitute into the power generation simulation model for prediction: Substitute the real-time meteorological information and the corresponding wind power output data into the power generation simulation model previously constructed based on the regional data set of each wind power equipment and the data of the combined electric and thermal system.

[0052] For each wind power equipment area, the expected power generation data of the area is obtained through model calculation. For example, the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area are substituted into the power generation simulation model of the first wind power equipment area to obtain the expected power generation data of the first wind power equipment area.

[0053] Summarize the expected power generation data: Summarize the expected power generation data of each wind power equipment area (the expected power generation data of the first wind power equipment area, the expected power generation data of the second wind power equipment area, the expected power generation data of the third wind power equipment area, the expected power generation data of the fourth wind power equipment area).

[0054] The total expected power generation value of the wind power equipment area reflects the total expected power generation of all wind power equipment areas under the current meteorological conditions and wind power output.

[0055] Step S105, construct an electricity consumption model for the power consumption equipment in the preset area of the power grid using the historical data of the power consumption equipment in the preset area of the power grid, the location data of the power consumption equipment in the preset area of the power grid, and the historical meteorological information, collect the real-time data of the power consumption equipment in the preset area of the power grid, substitute the real-time data of the power consumption equipment in the preset area of the power grid into the electricity consumption model of the power consumption equipment in the preset area of the power grid to obtain the predicted power consumption data of the power consumption equipment in the preset area of the power grid, compare the predicted power consumption data of the power consumption equipment in the preset area of the power grid with the total expected power generation value of the wind power equipment area. If the total expected power generation value of the wind power equipment area is greater than the predicted power consumption data of the power consumption equipment in the preset area of the power grid, then connect the external power consumption equipment of the power grid, and transmit the remaining electric energy after the wind power equipment supplies power to the power consumption equipment in the preset area of the power grid to the external power consumption equipment of the power grid.

[0056] Construct an electricity consumption model for the power consumption equipment in the preset area of the power grid: Use the historical data of the power consumption equipment in the preset area of the power grid (including historical power consumption, electricity consumption patterns, etc.), the location data of the power consumption equipment in the preset area of the power grid (used to consider the influence of geographical location on power consumption), and the historical meteorological information (because meteorological conditions may also affect power consumption, such as high or low temperature will affect the use of air conditioners and heating equipment) to construct an electricity consumption model, and the model can reflect the power consumption and electricity consumption patterns of the power consumption equipment in the preset area of the power grid under different conditions.

[0057] Collect the real-time data of the power consumption equipment in the preset area of the power grid: Collect the current power consumption data of the power consumption equipment in the preset area of the power grid in real time, including power consumption, power load, etc.

[0058] Predict the power consumption of the power consumption equipment in the preset area of the power grid: Substitute the real-time data of the power consumption equipment in the preset area of the power grid collected into the electricity consumption model of the power consumption equipment in the preset area of the power grid constructed before, and obtain the predicted power consumption data of the power consumption equipment in the preset area of the power grid through model calculation.

[0059] Compare the predicted data with the total expected power generation value: Compare the predicted power consumption data of the power consumption equipment in the preset area of the power grid with the total expected power generation value of the wind power equipment area.

[0060] If the total expected power generation value of the wind power equipment area is greater than the predicted power consumption data of the power consumption equipment in the preset area of the power grid, it means that the wind power equipment has sufficient power generation capacity to meet the power consumption demand of the preset area of the power grid, and there is still remaining electric energy.

[0061] Connect external power-consuming equipment to the power grid and transmit surplus electric energy: When it is confirmed that there is surplus electric energy in the wind power equipment area, consider connecting external power-consuming equipment to the system. Develop a suitable scheduling strategy to transmit the surplus electric energy after the wind power equipment supplies power to the power-consuming equipment in the preset area of the power grid to the external power-consuming equipment of the power grid to meet its power consumption needs. The implementation of this step helps to optimize the distribution and utilization of electric energy, improve the overall efficiency of the wind power-thermal-electricity combined system. By predicting the power consumption demand in the preset area of the power grid and reasonably scheduling the power generation capacity of the wind power equipment, it can ensure that while meeting the internal power consumption demand, the surplus electric energy can be effectively utilized to provide power support for external users of the power grid.

[0062] Specifically, for the scheduling control method of the wind power-thermal-electricity combined system considering flexible loads, the step S101 includes: Integrate the historical output data of wind power, the historical operation data of wind power equipment, the historical location data of wind power equipment, the historical state parameters of the power grid system, the state parameters of the cogeneration unit, the power supply state parameters, the historical data of the power-consuming equipment in the preset area of the power grid, the location data of the power-consuming equipment in the preset area of the power grid, the information of the external power-consuming equipment of the power grid, and the location data of the external power-consuming equipment of the power grid to form a data set; Use the historical state parameters of the power grid system, the state parameters of the cogeneration unit, and the power supply state parameters to construct an operation model of the thermal-electricity combined system, and the operation model of the thermal-electricity combined system is used to simulate the heat supply of the cogeneration unit.

[0063] In step S101, the scheduling control method of the wind power-thermal-electricity combined system considering flexible loads in the present invention conducts detailed data integration and model construction, specifically including the following contents: Integration of wind power-related data: Historical output data of wind power: Collect the output data of wind power equipment over a past period of time for analyzing the volatility and regularity of wind power output.

[0064] Historical operation data of wind power equipment: Include information such as the operation status, maintenance records, and failure rates of wind power equipment for evaluating the reliability and performance of the equipment.

[0065] Historical location data of wind power equipment: Record the geographical location information of wind power equipment, which is crucial for analyzing the relationship between wind power output and geographical location and meteorological conditions.

[0066] Integration of power grid system-related data: Historical state parameters of the power grid system: Include historical data such as the voltage, current, frequency, and power factor of the power grid for understanding the operation status and stability of the power grid.

[0067] State parameters of cogeneration units: Collect data such as the operating status, efficiency, heat supply and power generation capacity of cogeneration units, providing a basis for constructing an operating model of the combined heat and power system.

[0068] Power source state parameters: Include information such as the operating status, output, and reserve capacity of other types of power sources (such as thermal power, hydropower, photovoltaic, etc.).

[0069] Integration of data related to electrical equipment Historical data of electrical equipment in a preset area of the power grid: Collect historical data such as the electricity consumption, electricity consumption pattern, and load characteristics of electrical equipment in a preset area of the power grid for predicting future electricity demand.

[0070] Location data of electrical equipment in a preset area of the power grid: Record the geographical location information of electrical equipment, which helps to analyze the relationship between electricity demand and geographical location.

[0071] Information on electrical equipment outside the power grid: Include information such as the type, capacity, and electricity demand of potential electrical equipment outside the power grid, providing a decision-making basis for dispatching control.

[0072] Location data of electrical equipment outside the power grid: Record the geographical location information of electrical equipment outside the power grid, facilitating the formulation of power transmission and distribution strategies.

[0073] Model construction Operating model of the combined heat and power system: Using the historical state parameters of the power grid system, the state parameters of cogeneration units, and the state parameters of power sources, construct an operating model of the combined heat and power system. The operating model of the combined heat and power system can simulate the heat supply and power generation processes of cogeneration units, considering parameters such as the thermal efficiency, electrical efficiency, and heat-electricity ratio of the units, as well as the mutual influence and constraint conditions between the units.

[0074] Through the operating model of the combined heat and power system, the performance of the combined heat and power system under different operating conditions can be analyzed, providing theoretical support for dispatching control. Through the data integration and model construction in step S101, the present invention provides a solid foundation for the subsequent dispatching control method. Data integration enables the system to comprehensively understand information in multiple aspects such as wind power, the power grid, and electrical equipment, making accurate prediction and dispatching possible. The operating model of the combined heat and power system can simulate the actual operating process of the system, providing a powerful tool for formulating optimized dispatching strategies.

[0075] Specifically, for the dispatching control method of a combined heat and power system with wind power considering flexible loads, step S102 includes: Extract the location information of wind power equipment from the historical location data of wind power equipment obtained in step S101. The location information of wind power equipment includes longitude, latitude, and geographical coordinates; Receive and determine the first partitioning criterion, which includes the distance between the geographical locations of wind power equipment, the density of wind power equipment, and the similarity of wind speed and direction. Using a preset geographical information partitioning software, partition the wind power equipment according to the determined first partitioning criterion to obtain the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data.

[0076] In step S102, the method for scheduling and controlling the combined electric and thermal system with wind power considering flexible loads according to the present invention performs regional partitioning of wind power equipment. The specific steps are as follows: Extract the location information of the wind power equipment from the integrated dataset in step S101, especially the historical location data of the wind power equipment. This information usually includes the longitude, latitude, and geographical coordinates of the wind power equipment, which are the key parameters for determining the geographical location of the wind power equipment.

[0077] Receive and determine the first partitioning criterion, which is formulated based on the distance between the geographical locations of wind power equipment, the density of wind power equipment, and the similarity of wind speed and direction.

[0078] Distance between geographical locations: Consider the actual distance between wind power equipment so as to partition relatively close equipment into the same area for easy management and scheduling.

[0079] Density of wind power equipment: Partition the area according to the concentration degree of wind power equipment in a certain area. The dense area may form a separate wind power equipment area.

[0080] Similarity of wind speed and direction: Consider the wind speed and direction characteristics of the area where the wind power equipment is located, and partition the equipment with similar wind speed and direction characteristics into the same area, which helps to more accurately predict and schedule the wind power output.

[0081] Using the preset geographical information partitioning software, partition the wind power equipment according to the determined first partitioning criterion.

[0082] This process may involve complex algorithms and calculations to ensure that the partitioned areas not only meet the partitioning criteria but also facilitate subsequent management and scheduling.

[0083] The partitioning result obtains the data of four wind power equipment areas, namely the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data.

[0084] Through the regional division in step S102, the present invention reasonably classifies and groups wind power equipment according to factors such as geographical location, density, and wind speed and direction characteristics. Such a division helps to more accurately predict and manage the wind power output in each region, providing more detailed and accurate basic data for subsequent dispatching control. At the same time, it also helps to optimize the allocation and utilization of wind power resources and improve the overall efficiency of the wind power-thermal-electricity combined system.

[0085] Specifically, for the dispatching control method of the wind power-thermal-electricity combined system considering flexible loads, step S102 includes: Obtain the historical data of power consumption equipment in the preset grid area and the location data of power consumption equipment in the preset grid area from step S101. The location data of power consumption equipment in the preset grid area includes longitude, latitude, and geographical coordinates. Receive and determine the second division criterion, which includes the distance between the geographical locations of power consumption equipment in the preset grid area and the density of power consumption equipment in the preset grid area. Use the preset geographical information division software to divide the power consumption equipment in the preset grid area according to the determined second division criterion, obtaining the first power consumption equipment area data, the second power consumption equipment area data, the third power consumption equipment area data, and the fourth power consumption equipment area data.

[0086] In step S102, for the power consumption equipment in the preset grid area, the dispatching control method of the wind power-thermal-electricity combined system considering flexible loads in the present invention conducts a detailed regional division, and the specific steps are as follows: Extract the location information of the power consumption equipment from the integrated data set in step S101, especially the historical data of power consumption equipment in the preset grid area and the location data of power consumption equipment in the preset grid area. These information include the longitude, latitude, and geographical coordinates of the power consumption equipment, which are the basis for determining the geographical location of the power consumption equipment.

[0087] Receive and determine the second division criterion, which is formulated based on the distance between the geographical locations of power consumption equipment in the preset grid area and the density of power consumption equipment.

[0088] Distance between geographical locations: Consider the actual distance between power consumption equipment so as to divide relatively close equipment into the same area, which helps to reduce the loss of power transmission and improve the reliability of power supply.

[0089] Density of power consumption equipment: Divide the area according to the concentration degree of power consumption equipment in a certain area. The dense area may form a separate power consumption equipment area, which helps to more accurately predict and manage the power consumption demand in this area.

[0090] Use a preset geographic information division software to divide the electrical equipment in the preset area of the power grid according to the determined second division criterion.

[0091] This process may involve complex spatial analysis and calculations to ensure that the divided areas not only meet the division criteria but also facilitate subsequent management and scheduling.

[0092] The division result obtains data of four electrical equipment areas, namely, the first electrical equipment area data, the second electrical equipment area data, the third electrical equipment area data, and the fourth electrical equipment area data.

[0093] Through the regional division of the electrical equipment in the preset area of the power grid in step S102, the present invention can more accurately understand and manage the electricity consumption demands of different regions, providing more detailed and accurate basic data for subsequent dispatching control. Such division helps optimize the distribution and transmission of electric energy, reduce electric energy losses, improve the overall efficiency and stability of the power grid. At the same time, it also helps better integrate and utilize wind power resources, meet the electricity consumption demands of the preset area of the power grid, and consider transmitting the remaining electric energy to external electrical equipment of the power grid.

[0094] Specifically, for the dispatching control method of a wind power integrated electric heating combined system considering flexible loads, the step S103 includes: Collect real-time position data of all wind power equipment in the first wind power equipment area, the second wind power equipment area, the third wind power equipment area, and the fourth wind power equipment area, and update the collected real-time position data into the corresponding wind power equipment area data to obtain the updated first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data; Obtain real-time meteorological information, where the meteorological information includes wind speed, wind direction, air temperature, and air pressure; Match the real-time position information in the updated wind power equipment area data with the meteorological information, and according to the matching result, combine the data of each wind power equipment area with the corresponding meteorological information to form the first wind power equipment area data set, the second wind power equipment area data set, the third wind power equipment area data set, and the fourth wind power equipment area data set.

[0095] In step S103, the dispatching control method of the wind power integrated electric heating combined system considering flexible loads in the present invention performs real-time update of the wind power equipment area data and matching with the meteorological information, and the specific steps are as follows: Collect real-time position data of all wind power equipment in the first wind power equipment area, the second wind power equipment area, the third wind power equipment area, and the fourth wind power equipment area. This usually involves using GPS or other positioning technologies to obtain the accurate position information of the wind power equipment.

[0096] Update the collected real-time location data into the corresponding wind power equipment area data. This means that for each wind power equipment area, there will be a set of the latest location data corresponding to it.

[0097] The updated data is named the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data, and the fourth wind power equipment area data to reflect that they contain the latest location information.

[0098] Obtain real-time meteorological information, which is crucial for predicting the power output of wind power equipment. Meteorological information usually includes parameters such as wind speed, wind direction, temperature, and air pressure, which directly affect the operating efficiency and power output of wind power equipment.

[0099] Match the real-time location information in the updated wind power equipment area data with the obtained meteorological information. This process may involve associating the location information of each wind power equipment with the meteorological data at the corresponding location to ensure the accuracy and relevance of the data.

[0100] According to the matching results, combine the data of each wind power equipment area with the corresponding meteorological information to form four wind power equipment area data sets: the first wind power equipment area data set, the second wind power equipment area data set, the third wind power equipment area data set, and the fourth wind power equipment area data set.

[0101] These data sets not only contain the real-time location information of wind power equipment but also the meteorological information corresponding to these locations, providing comprehensive data support for subsequent wind power output prediction and dispatching control.

[0102] Through the implementation of step S103, the present invention can update the location information of wind power equipment in real time and match it with meteorological information, thereby forming wind power equipment area data sets containing rich information. These data sets provide a solid foundation for subsequent wind power output prediction, dispatching control, and flexible load management, helping to improve the overall efficiency of the wind power-thermal-electricity combined system.

[0103] Specifically, for the dispatching control method of the wind power-thermal-electricity combined system considering flexible load described in the present invention, step S104 includes: Initialize the total value, set a variable to store the expected total power generation value of the wind power equipment area, and set the initial value to 0; Add the expected power generation data of the first wind power equipment area to the total value, and then sequentially add the expected power generation data of the second, third, and fourth wind power equipment areas to the total value; Total expected power generation in the wind power equipment area = Expected power generation data of the first wind power equipment area + Expected power generation data of the second wind power equipment area + Expected power generation data of the third wind power equipment area + Expected power generation data of the fourth wind power equipment area.

[0104] In step S104, the method for dispatching and controlling the combined wind power, electricity, and heat system considering flexible loads according to the present invention calculates the total expected power generation in the wind power equipment area. The specific steps are as follows: Initialize the total value and set a variable to store the total expected power generation in the wind power equipment area. The initial value of this variable is set to 0, indicating that before the calculation starts, the total expected power generation is zero.

[0105] Accumulate the expected power generation data of the wind power equipment area. First, add the expected power generation data of the first wind power equipment area to the total value. This data is predicted based on factors such as the real-time position information of the wind power equipment in the area, meteorological information, and the performance parameters of the wind power equipment. Then, sequentially add the expected power generation data of the second, third, and fourth wind power equipment areas to the total value as well. Similarly, these data are also predicted based on the wind power equipment information in their respective areas.

[0106] Calculate the total expected power generation in the wind power equipment area. By adding the expected power generation data of the four wind power equipment areas, the total expected power generation in the wind power equipment area is obtained. The specific calculation formula is: Total expected power generation in the wind power equipment area = Expected power generation data of the first wind power equipment area + Expected power generation data of the second wind power equipment area + Expected power generation data of the third wind power equipment area + Expected power generation data of the fourth wind power equipment area.

[0107] The total expected power generation in the wind power equipment area represents the total expected power generation of all wind power equipment areas within a certain period (such as one day, one week, or one month), and is an important basis for subsequent dispatching control, power distribution, and flexible load management.

[0108] Through the implementation of step S104, the present invention can accurately calculate the total expected power generation in the wind power equipment area, providing data support for the optimal dispatching and efficient operation of the combined wind power, electricity, and heat system.

[0109] Specifically, for the method for dispatching and controlling the combined wind power, electricity, and heat system considering flexible loads according to the present invention, step S105 includes: Compare the total expected power generation in the wind power equipment area with the predicted power consumption data of the electrical equipment in the preset area of the power grid. If the total expected power generation in the wind power equipment area is greater than the predicted power consumption data of the electrical equipment in the preset area of the power grid, then continue to execute the subsequent steps; otherwise, it means that the current wind power generation is not sufficient to meet the power consumption demand of the preset area of the power grid, and there is no need to connect external electrical equipment to the power grid. Based on the difference between the predicted total power generation value of the wind power equipment area and the predicted power consumption of the power-consuming equipment in the preset area of the power grid, as well as the types and capacities of the power-consuming equipment outside the power grid, power-consuming equipment outside the power grid is selected for connection.

[0110] In step S105, the dispatching and control method of the wind power and electric heat integrated system considering flexible load according to the present invention compares the predicted total power generation value of the wind power equipment area with the predicted power consumption of the power-consuming equipment in the preset area of the power grid, and accordingly decides whether to connect power-consuming equipment outside the power grid and how to select the connected equipment. The specific steps are as follows: Compare the predicted total power generation value of the wind power equipment area calculated in step S104 with the predicted power consumption of the power-consuming equipment in the preset area of the power grid. This comparison is a key step in evaluating whether the current wind power generation can meet the power consumption demand in the preset area of the power grid.

[0111] If the predicted total power generation value of the wind power equipment area is greater than the predicted power consumption of the power-consuming equipment in the preset area of the power grid, it indicates that the current wind power generation is sufficient to meet the power consumption demand in the preset area of the power grid. At this time, there is no need to connect power-consuming equipment outside the power grid, and subsequent steps can be continued to optimize the dispatching and control.

[0112] If the predicted total power generation value of the wind power equipment area is less than or equal to the predicted power consumption of the power-consuming equipment in the preset area of the power grid, it indicates that the current wind power generation is insufficient to meet the power consumption demand in the preset area of the power grid. At this time, power-consuming equipment outside the power grid needs to be connected to supplement the power supply.

[0113] After determining that power-consuming equipment outside the power grid needs to be connected, calculate the amount of power that needs to be supplemented according to the difference between the predicted total power generation value of the wind power equipment area and the predicted power consumption of the power-consuming equipment in the preset area of the power grid.

[0114] Select appropriate equipment for connection according to the amount of power that needs to be supplemented, the types and capacities of the power-consuming equipment outside the power grid. This process may involve comprehensive consideration of factors such as the performance parameters, operating costs, and reliability of the power-consuming equipment outside the power grid to ensure that the selected equipment can not only meet the power supplement demand but also be economically reasonable and feasible.

[0115] Through the implementation of step S105, the method according to the present invention can flexibly decide whether to connect power-consuming equipment outside the power grid and how to select the connected equipment according to the comparison result between the predicted total power generation value of the wind power equipment area and the predicted power consumption of the power-consuming equipment in the preset area of the power grid. This helps to ensure the stable operation of the power system, optimize the allocation and utilization of power resources, and improve the efficiency of the entire system.

[0116] Specifically, the dispatching and control method of the wind power and electric heat integrated system considering flexible load according to the present invention further includes: Substitute the expected total power generation value of the wind power equipment area into the operation model of the combined heat and power system, and output the expected heat and power values of the combined system. If the expected heat and power values of the combined system exceed the preset heat and power values, connect the external grid electrical equipment, and transmit the remaining electrical energy after the wind power equipment supplies power to the electrical equipment in the preset area of the grid to the external grid electrical equipment.

[0117] After step S105, the dispatching and control method of the combined heat and power system with flexible load considered in the present invention further includes a step, that is, substituting the expected total power generation value of the wind power equipment area into the operation model of the combined heat and power system, and making an access decision on the external grid electrical equipment according to the output result. The specific steps are as follows: Substitute the expected total power generation value of the wind power equipment area calculated in step S104 into the operation model of the combined heat and power system. This model is a complex mathematical or physical model used to describe the operation characteristics, energy conversion efficiency, and various constraint conditions of the combined heat and power system.

[0118] Through the operation model, calculate the expected heat and power values of the combined heat and power system. This value represents the total amount of heat and power that the combined heat and power system can generate under the given expected total power generation value of the wind power equipment area.

[0119] Compare the calculated expected heat and power values of the combined system with the preset heat and power values. This preset heat and power value is determined according to factors such as the electricity demand in the preset area of the grid, the operation characteristics of the combined heat and power system, and the safety margin.

[0120] If the expected heat and power values of the combined system exceed the preset heat and power values, it means that the total amount of heat and power generated by the combined heat and power system exceeds the electricity demand in the preset area of the grid. At this time, it can be considered to transmit the excess electrical energy to the external grid electrical equipment.

[0121] When it is determined that external grid electrical equipment needs to be connected, select appropriate equipment for connection according to the type, capacity, and electricity demand of the external grid electrical equipment.

[0122] Transmit the remaining electrical energy after the wind power equipment supplies power to the electrical equipment in the preset area of the grid to the external grid electrical equipment. This process needs to ensure the stable transmission of electrical energy and the safe operation of the grid.

[0123] Through this step, the dispatching and control method described in the present invention can achieve precise control and optimized dispatching of the heat and power output of the combined heat and power system. When the wind power generation is sufficient, it can ensure that the electricity demand in the preset area of the grid is met, and transmit the excess electrical energy to the external grid electrical equipment; when the wind power generation is insufficient, power supply is supplemented by connecting external grid electrical equipment. This flexible dispatching and control method helps to improve the operation efficiency and economy of the power system, and at the same time promotes the utilization and development of renewable energy such as wind power.

[0124] The present invention solves the problem of wind abandonment caused by the wind-thermal conflict of a cogeneration unit during winter heating through the following technical solutions: Obtain power supply end data (including historical wind power output data, historical operation data of wind power equipment, and historical location data of wind power equipment), historical meteorological information, electro-thermal combined system end data (including historical state parameters of the power grid system, state parameters of the cogeneration unit, and power supply state parameters), and power consumption end data (including historical data of power consumption equipment in a preset area of the power grid, location data, information and location data of external power consumption equipment of the power grid). Integrate these data to form a data set, and use the state parameters of the electro-thermal combined system to construct an operation model for simulating the heat supply of the cogeneration unit.

[0125] Divide the wind power equipment into different regions according to the historical location data of the wind power equipment to obtain wind power equipment data for different regions.

[0126] Similarly, divide the power consumption equipment into different regions according to the location data of the power consumption equipment in the preset area of the power grid. Collect real-time location data for each wind power equipment region, and combine real-time meteorological information (wind speed, wind direction, temperature, and air pressure) to construct a power generation simulation model for the wind power equipment in each region.

[0127] Collect the real-time meteorological information and wind power output data of each wind power equipment region, substitute them into the corresponding power generation simulation model, calculate the expected power generation data for each region, and summarize to obtain the total expected power generation value for the wind power equipment region. Use the historical data, location data, and historical meteorological information of the power consumption equipment in the preset area of the power grid to construct a power consumption model for the power consumption equipment, and predict the power consumption in the preset area of the power grid. Compare the total expected power generation value of the wind power equipment region with the predicted power consumption data of the wind power equipment in the preset area of the power grid.

[0128] If the total expected power generation value of the wind power equipment region is greater than the predicted power consumption data of the power consumption equipment in the preset area of the power grid, it indicates that there is surplus wind power generation. At this time, connect the external power consumption equipment of the power grid and transmit the surplus electric energy to these equipment.

[0129] If the total expected power generation value of the wind power equipment region is not greater than the predicted power consumption data of the power consumption equipment in the preset area of the power grid, it indicates that the current wind power generation is not sufficient to meet the power consumption demand in the preset area of the power grid, and there is no need to connect the external power consumption equipment of the power grid.

[0130] Substitute the total expected power generation value of the wind power equipment region into the operation model of the electro-thermal combined system to output the expected electro-thermal value of the combined system. If the expected electro-thermal value of the combined system exceeds the preset electro-thermal value, also connect the external power consumption equipment of the power grid to utilize the surplus heat energy.

[0131] Through the above steps, the present invention can dynamically monitor and predict the wind power output and electricity demand, and effectively schedule according to the thermal-wind conflict situation of the combined heat and power unit, avoid the phenomenon of wind abandonment, improve the utilization rate of wind power, and at the same time ensure the stable operation of the power system and the balance between supply and demand.

Claims

1. A dispatching control method for a wind power and electric heat combined system considering flexible loads, characterized in that: include: Step S101, acquiring power supply end data, historical meteorological information, electric heat combined system end data and power consumption end data, the power supply end data includes historical wind power output data, historical wind power equipment operation data and historical wind power equipment location data, the electric heat combined system end data includes historical power grid system status parameters, cogeneration unit status parameters and power supply status parameters, the power consumption end data includes historical power consumption equipment data in a preset area of ​​the power grid, location data of power consumption equipment in a preset area of ​​the power grid, information of power consumption equipment outside the power grid and location data of power consumption equipment outside the power grid; Step S102, dividing the wind power equipment into regions according to the historical location data of the wind power equipment, obtaining first wind power equipment regional data, second wind power equipment regional data, third wind power equipment regional data and fourth wind power equipment regional data, dividing the power equipment in the preset area of ​​the power grid into regions according to the location data of the power equipment in the preset area of ​​the power grid, obtaining first power equipment regional data, second power equipment regional data, third power equipment regional data and fourth power equipment regional data; Step S103, collecting location data of the wind power equipment locations in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data and the fourth wind power equipment area data, obtaining updated locations of the wind power equipment in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data and the fourth wind power equipment area data, taking the updated locations of the wind power equipment in the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data and the fourth wind power equipment area data as real-time locations of the wind power equipment, and updating the updated locations of the first wind power equipment area data, the second wind power equipment area data, the third wind power equipment area data and the fourth wind power equipment area data according to the real-time locations of the wind power equipment. Establish a corresponding relationship between the four wind power equipment regional data and the meteorological information to obtain the first wind power equipment regional data set, the second wind power equipment regional data set, the third wind power equipment regional data set and the fourth wind power equipment regional data set; construct a first wind power equipment regional power generation simulation model based on the first wind power equipment regional data set and the electric-heat combined system end data; construct a second wind power equipment regional power generation simulation model based on the second wind power equipment regional data set and the electric-heat combined system end data; construct a third wind power equipment regional power generation simulation model based on the third wind power equipment regional data set and the electric-heat combined system end data; and construct a fourth wind power equipment regional power generation simulation model based on the fourth wind power equipment regional data set and the electric-heat combined system end data; Step S104, collect updated real-time meteorological information of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtain real-time meteorological information of the first wind power equipment area, real-time meteorological information of the second wind power equipment area, real-time meteorological information of the third wind power equipment area and real-time meteorological information of the fourth wind power equipment area, receive updated wind output data of the first wind power equipment area, the second wind power equipment area, the third wind power equipment area and the fourth wind power equipment area, obtain output data of the first wind power equipment area, output data of the second wind power equipment area, output data of the third wind power equipment area and output data of the fourth wind power equipment area, substitute the real-time meteorological information of the first wind power equipment area and the output data of the first wind power equipment area into the power generation simulation model of the first wind power equipment area, and obtain the output data of the first wind power equipment area. Substitute the real-time meteorological information of the second wind power equipment area and the output data of the second wind power equipment area into the power generation simulation model of the second wind power equipment area to obtain the expected power generation data of the second wind power equipment area, substitute the real-time meteorological information of the third wind power equipment area and the output data of the third wind power equipment area into the power generation simulation model of the third wind power equipment area to obtain the expected power generation data of the third wind power equipment area, substitute the real-time meteorological information of the fourth wind power equipment area and the output data of the fourth wind power equipment area into the power generation simulation model of the fourth wind power equipment area to obtain the expected power generation data of the fourth wind power equipment area, summarize the expected power generation data of the first wind power equipment area, the expected power generation data of the second wind power equipment area, the expected power generation data of the third wind power equipment area and the expected power generation data of the fourth wind power equipment area to obtain the total expected power generation value of the wind power equipment area; Step S105, using the historical data of power users in the preset area of ​​the power grid, the location data of power users in the preset area of ​​the power grid and the historical meteorological information, constructing a power consumption model of power users in the preset area of ​​the power grid, collecting real-time data of power users in the preset area of ​​the power grid, substituting the real-time data of power users in the preset area of ​​the power grid into the power consumption model of power users in the preset area of ​​the power grid, obtaining power consumption forecast data of power users in the preset area of ​​the power grid, comparing the power consumption forecast data of power users in the preset area of ​​the power grid with the expected total power generation value of the wind power equipment area, if the expected total power generation value of the wind power equipment area is greater than the power consumption forecast data of power users in the preset area of ​​the power grid, connecting power users outside the power grid, and transmitting the remaining electric energy after the wind power equipment supplies power to the power users in the preset area of ​​the power grid to the power users outside the power grid.

2. The dispatching control method for a wind power and electric heat combined system considering flexible loads according to claim 1, characterized in that: The step S101 includes: Integrate historical wind power output data, historical wind power equipment operation data, historical wind power equipment location data, historical power grid system status parameters, cogeneration unit status parameters, power supply status parameters, historical data of power equipment in the preset area of ​​the power grid, location data of power equipment in the preset area of ​​the power grid, information of power equipment outside the power grid, and location data of power equipment outside the power grid to form a data set; The operation model of the combined heat and power system is constructed by using the historical state parameters of the power grid system, the state parameters of the cogeneration unit and the power supply state parameters. The operation model of the combined heat and power system is used to simulate the heating of the cogeneration unit.

3. The dispatching and controlling method for a wind power and electric heat combined system considering flexible loads according to claim 1, characterized in that: The step S102 includes: Extracting location information of the wind power equipment from the historical location data of the wind power equipment acquired in step S101, where the location information of the wind power equipment includes longitude, latitude and geographic coordinates; receiving and determining a first classification criterion, the first classification criterion including similarity based on distances between geographical locations of wind power equipment, density of wind power equipment, and wind speed and direction; By using the preset geographic information division software, the wind power equipment is divided into regions according to the determined first division standard to obtain first wind power equipment regional data, second wind power equipment regional data, third wind power equipment regional data and fourth wind power equipment regional data.

4. The dispatching control method for a wind power and electric heat combined system considering flexible loads according to claim 3 is characterized in that: The step S102 includes: The historical data of the power consumption equipment in the preset area of ​​the power grid and the location data of the power consumption equipment in the preset area of ​​the power grid obtained in step S101, wherein the location data of the power consumption equipment in the preset area of ​​the power grid includes longitude, latitude and geographic coordinates; receiving and determining a second classification standard, the second classification standard including the distance between the geographical locations of the power consumption equipment in the preset area of ​​the power grid and the density of the power consumption equipment in the preset area of ​​the power grid; By using the preset geographic information division software, according to the determined second division standard, the power equipment in the preset area of ​​the power grid is divided into regions to obtain the first power equipment regional data, the second power equipment regional data, the third power equipment regional data and the fourth power equipment regional data.

5. The dispatching control method for a wind power and electric heat combined system considering flexible loads according to claim 1, characterized in that: The step S103 includes: Collecting real-time location data of all wind power equipment in the first wind power equipment area, the second wind power equipment area, the third wind power equipment area, and the fourth wind power equipment area, and updating the collected real-time location data to the corresponding wind power equipment area data to obtain updated first wind power equipment area data, second wind power equipment area data, third wind power equipment area data, and fourth wind power equipment area data; Get real-time weather information, including wind speed, wind direction, temperature and air pressure; The real-time location information in the updated wind power equipment area data is matched with the meteorological information. Based on the matching results, the data of each wind power equipment area is combined with the corresponding meteorological information to form a first wind power equipment area data set, a second wind power equipment area data set, a third wind power equipment area data set and a fourth wind power equipment area data set.

6. The dispatching and controlling method for a wind power and electric heat combined system considering flexible loads according to claim 1, characterized in that: The step S104 includes: Initialize the total value, set a variable to store the total expected power generation of the wind power equipment area, and set the initial value to 0; Adding the expected power generation data of the first wind turbine area to the total value, and then adding the expected power generation data of the second, third, and fourth wind turbine areas to the total value in sequence; The total expected power generation value of the wind power equipment area = the expected power generation data of the first wind power equipment area + the expected power generation data of the second wind power equipment area + the expected power generation data of the third wind power equipment area + the expected power generation data of the fourth wind power equipment area.

7. The dispatching and controlling method for a wind power, electric power and heat combined system considering flexible loads according to claim 1, characterized in that: The step S105 includes: Compare the expected total power generation value of the wind power equipment area with the power consumption forecast data of the power consumption equipment in the preset area of ​​the power grid. If the expected total power generation value of the wind power equipment area is greater than the power consumption forecast data of the power consumption equipment in the preset area of ​​the power grid, continue to execute the subsequent steps; otherwise, it means that the current wind power generation is not enough to meet the power demand of the preset area of ​​the power grid, and there is no need to connect the power consumption equipment outside the power grid; Based on the difference between the expected total power generation of wind power equipment in the area and the predicted power consumption data of power equipment in the preset area of ​​the power grid, as well as the type and capacity of power equipment outside the power grid, power equipment outside the power grid is selected for access.

8. The dispatching control method for a wind power and electric heat combined system considering flexible loads according to claim 2, characterized in that: Also includes: The expected total power generation value of the wind power equipment area is substituted into the operation model of the combined electric and thermal system, and the expected electric heating value of the combined system is output. If the expected electric heating value of the combined system exceeds the preset electric heating value, the power equipment outside the power grid is connected, and the remaining electric energy after the wind power equipment supplies power to the power equipment in the preset area of ​​the power grid is transmitted to the power equipment outside the power grid.

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