Heat supply source and network integrated regulation-based thermoelectric collaborative scheduling method, system, medium and equipment

Abstract

The invention discloses a thermoelectric collaborative scheduling method, system, medium and equipment based on heat supply source and network integrated adjustment, and belongs to the technical field of power grid scheduling. The method comprises the following steps: firstly, predicting a power generation electric load, a heat load and a heat supply return water temperature within a set time scale to obtain a prediction result; according to the prediction result and in combination with the thermoelectric sending-out characteristics of the unit, whether the unit has a thermoelectric decoupling contradiction under the conventional heat supply mode and the current predicted thermoelectric load is evaluated; if the thermoelectric decoupling contradiction exists, listing all heat supply mode combinations meeting the power generation-heat supply requirements under the current electric load-thermal load-return water temperature prediction condition; and calculating the overall power generation-heat supply income of the whole plant in different heat supply modes, and finally outputting a thermoelectric collaborative scheduling strategy with the optimal economic benefit. A heat supply network system and a heat source system for heat supply are regarded as a whole, the heat supply network and heat source network integrated adjusting means is exerted by means of the strong heat storage capacity of the heat supply network system, and meanwhile the triple capacity of power generation, heat supply and flexible peak regulation is improved.

Description

[0001] This application is a divisional application of a patent application entitled "A Thermoelectric Co-scheduling Method and Flexible Decoupling System Based on Pipeline Heat Load", the original application was filed on May 11, 2024, application number 202410581796.8. Technical Field

[0002] This invention belongs to the field of power grid dispatching technology, and in particular relates to a co-current heat and power dispatching method, system, medium and equipment based on integrated regulation of heating source and grid. Background Technology

[0003] In recent years, with the vigorous development of clean energy power generation such as wind and solar power, the pace of energy structure adjustment has been accelerating. However, the randomness, intermittency, and rapid changes in wind and solar power generation, coupled with the overcapacity of traditional coal-fired power, have exacerbated the difficulty of peak shaving for the power grid. This poses new requirements for improving the flexibility and deep peak shaving capabilities of existing thermal power units. Currently, in some regions, most coal-fired power units are used for heating. During the heating season, under the heat-driven power generation model, the peak shaving capacity of thermal power units is limited, and this lack of peak shaving capacity severely restricts the consumption of clean energy. Summary of the Invention

[0004] The purpose of this invention is to provide a thermo-power coordinated scheduling method, system, medium, and equipment based on integrated regulation of heating source network. It treats the heating network system and the heat source system as a whole, relies on the strong heat storage capacity of the heating network system, and leverages integrated regulation of heating source network to enhance the triple capabilities of power generation, heating, and flexible peak shaving.

[0005] To achieve the above objectives, the present invention provides the following technical solutions.

[0006] On the one hand, the present invention provides a thermoelectric coordinated scheduling method based on integrated regulation of heating source network, comprising the following steps: Based on historical power generation dispatch instructions, historical weather, and historical heating network dispatch instructions of the power grid system, the power generation load, heat load, and heating return water temperature within a set time scale are predicted, and the prediction results are obtained. Based on the forecast results and the unit's heat and power output characteristics, an assessment is conducted to determine whether there is a contradiction in the decoupling of heat and power in the unit under the conventional heating mode and the current forecasted heat and power load, and the assessment results are obtained. When the assessment results indicate a contradiction in thermoelectric decoupling, list all combinations of heating modes for the heating unit group, and based on the thermoelectric output characteristics of each heating mode, determine all combinations of heating modes that meet the power generation and heating requirements under the current predicted conditions of electrical load, heat load, and return water temperature. An optimized scheduling revenue calculation model is constructed with the goal of maximizing the overall plant revenue. The model calculates the overall power generation-heating revenue of the plant under different heating modes, and finally outputs the most economically efficient co-scheduled heat and power scheduling strategy.

[0007] Optionally, the prediction of power generation load, heat load, and heating return water temperature within a set time scale based on historical power grid dispatch instructions, historical weather, and historical heating network dispatch instructions, to obtain prediction results, specifically includes: The power generation load is predicted by historical power generation dispatch instructions from the power grid system, and the heat load and return water temperature are predicted by historical weather and historical heating network dispatch instructions. The predicted data for power generation, heating, and heating network return water temperature are predicted for 96 time periods throughout the day, with each 15-minute period as the load prediction time unit.

[0008] Optionally, the heating method combination includes at least one of perforated steam extraction, cylinder cutting, and high back pressure; wherein, the thermoelectric operation of perforated steam extraction heating is a one- or two-dimensional operating domain, bounded by the boiler maximum output boundary line, the boiler minimum output boundary line, and the low-pressure cylinder minimum safe exhaust steam flow boundary line; the thermoelectric transmission characteristics of cylinder cutting operation mode are approximately a straight line, with heat load and electrical load corresponding one-to-one; the thermoelectric transmission characteristics of high back pressure heating are affected by the return water temperature, and the lower the return water temperature, the more fully the waste heat of high back pressure exhaust steam is utilized.

[0009] Optionally, the heating mode combination also includes different heating network delivery modes, which, based on quality regulation, include three methods: maintaining the heating network circulating water flow rate constant, increasing the heating network circulating water flow rate, and decreasing the heating network circulating water flow rate.

[0010] Optionally, the construction of the optimized scheduling revenue calculation model with the goal of maximizing overall plant revenue, and the calculation of the plant's overall power generation-heating revenue under different heating modes, specifically includes: Using formula Calculate electricity generation revenue ;in, for The revenue generated at any given time Total time; Using formula Calculate heating revenue ;in, , Heating prices for different heating methods, , Heat supply for different heating methods; Using formula Calculate coal consumption cost :in, For the first Coal consumption cost of the unit This refers to the total number of generating units in the power generation company. Using formula Calculate auxiliary machine operating costs ;in, For the first The operating cost of the auxiliary machine, The number of auxiliary machines in a power generation company; An optimal scheduling revenue calculation model is adopted, aiming at maximizing the overall plant revenue. Calculate the overall power generation-heating revenue of the entire plant under different heating modes. .

[0011] On the other hand, the present invention also provides a thermoelectric coordinated dispatching system based on integrated regulation of heating source network, comprising: The heat and power load prediction module is used to predict the power generation load, heat load and heating return water temperature within a set time scale based on the historical power generation dispatch instructions of the power grid system, historical weather and historical heat network dispatch instructions, and obtain the prediction results. The thermoelectric decoupling contradiction assessment module is used to assess whether there is a thermoelectric decoupling contradiction in the unit under the conventional heating mode and the current predicted thermoelectric load, based on the prediction results and the unit's thermoelectric transmission characteristics, and to obtain the assessment results. The exhaustive heating mode module is used to list all heating mode combinations of the heating unit group when the evaluation result indicates a contradiction between heat and electricity decoupling. Based on the heat and electricity output characteristics of each heating mode, it determines all heating mode combinations that meet the power generation and heating requirements under the current electrical load, heat load and return water temperature prediction conditions. The optimal revenue scheduling module is used to construct an optimized scheduling revenue calculation model with the goal of maximizing the overall revenue of the plant. It calculates the overall power generation-heating revenue of the plant under different heating modes and finally outputs the most economically efficient co-generation and power scheduling strategy.

[0012] Optionally, the thermoelectric load prediction module is specifically used for: The power generation load is predicted by historical power generation dispatch instructions from the power grid system, and the heat load and return water temperature are predicted by historical weather and historical heating network dispatch instructions. The predicted data for power generation, heating, and heating network return water temperature are predicted for 96 time periods throughout the day, with each 15-minute period as the load prediction time unit.

[0013] Optionally, the optimal benefit scheduling module is specifically used for: Using formula Calculate electricity generation revenue ;in, for The revenue generated at any given time Total time; Using formula Calculate heating revenue ;in, , Heating prices for different heating methods, , Heat supply for different heating methods; Using formula Calculate coal consumption cost :in, For the first Coal consumption cost of the unit This refers to the total number of generating units in the power generation company. Using formula Calculate auxiliary machine operating costs ;in, For the first The operating cost of the auxiliary machine, The number of auxiliary machines in a power generation company; An optimal scheduling revenue calculation model is adopted, aiming at maximizing the overall plant revenue. Calculate the overall power generation-heating revenue of the entire plant under different heating modes. ; according to The optimal co-location strategy for thermal power was ultimately determined to guide the operators.

[0014] On the other hand, the present invention also provides a non-transitory computer-readable storage medium storing computer instructions thereon, which, when executed by a processor, implement the aforementioned thermoelectric coordinated scheduling method based on integrated regulation of heating source network.

[0015] In another aspect, the present invention also provides an electronic device, including a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the thermoelectric coordinated scheduling method based on the integrated regulation of heating source network.

[0016] By employing the above-described solution, the present invention achieves the following technical effects: By using a heat and power coordinated dispatching method, system, medium and equipment based on integrated regulation of heat source and network, the heating network system and heat source system are regarded as a whole. Relying on the strong heat storage capacity of the heating network system, the integrated regulation of heat source and network is brought into play, and the triple capabilities of power generation, heating and flexible peak shaving are improved at the same time.

[0017] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating a heat and power coordinated scheduling method based on integrated regulation of heating source network according to the present invention. Figure 2This is a schematic diagram of the execution process of a co-current heating and power scheduling system based on integrated regulation of heating source network according to the present invention; Figure 3 This is a schematic diagram of the structure of an electronic device according to the present invention. Detailed Implementation

[0019] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0020] See Figure 1 This embodiment provides a thermoelectric coordinated scheduling method based on the integrated regulation of heating source network, including the following steps 1 to 4.

[0021] Step 1: Based on the historical power generation dispatch instructions of the power grid system, historical weather, and historical dispatch instructions of the heating network, predict the power generation load, heat load, and heating return water temperature within a set time scale to obtain the prediction results.

[0022] In this embodiment, the power generation load is predicted using historical power generation dispatch instructions from the power grid system, and the heat load and return water temperature are predicted using historical weather and historical heating network dispatch instructions. Using 15-minute intervals as the load prediction time unit, prediction data for power generation, heating, and heating network return water temperature can be predicted for 96 time periods throughout the day.

[0023] Step 2: Based on the prediction results and the unit's thermal and electrical output characteristics, assess whether there is a thermal and electrical decoupling contradiction in the unit under the conventional heating mode and the current predicted thermal and electrical load, and obtain the assessment results.

[0024] For cogeneration units with multiple heating modes such as perforated extraction, cylinder cut-off, and high back pressure, the overall heat and power output characteristics of the entire plant are the sum of the output characteristics of each unit. For example, the cogeneration operation of perforated extraction heating is a one- or two-dimensional operating domain, bounded by the boiler maximum output boundary line, the boiler minimum output boundary line, and the minimum safe exhaust steam flow boundary line of the low-pressure cylinder; the heat and power output characteristics of cylinder cut-off operation are approximately a straight line, with heat load and electrical load corresponding one-to-one; the heat and power output characteristics of high back pressure heating are affected by the return water temperature, and the lower the return water temperature, the more fully the waste heat of high back pressure exhaust steam is utilized.

[0025] Based on the unit's thermoelectric output characteristics, determine whether there is a thermoelectric decoupling contradiction under the current electrical load, heat load, and return water temperature prediction conditions. If so, exhaustively explore different heating mode combinations and re-evaluate whether a thermoelectric decoupling contradiction exists until it is eliminated. When no thermoelectric decoupling contradiction exists, calculate and compare the benefits, and output the heating dispatch mode with the optimal benefit.

[0026] Step 3: When the evaluation result indicates the existence of a thermoelectric decoupling contradiction, list all the heating mode combinations of the heating unit group, and based on the thermoelectric output characteristics of each heating mode, determine all heating mode combinations that meet the power generation and heating requirements under the current electrical load-heat load-return water temperature prediction conditions.

[0027] For cogeneration units with multiple heating modes such as perforated extraction, cylinder cut-off, and high back pressure, the overall heat and power output characteristics of the entire plant are the sum of the output characteristics of each unit. For example, the cogeneration operation of perforated extraction heating is a one- or two-dimensional operating domain, bounded by the boiler's maximum output boundary line, minimum boiler output boundary line, and minimum safe exhaust flow boundary line of the low-pressure cylinder. The heat and power output characteristics of cylinder cut-off operation are approximately a straight line, with a one-to-one correspondence between heat load and electrical load. The heat and power output characteristics of high back pressure heating are affected by the return water temperature; the lower the return water temperature, the more fully the waste heat from high back pressure exhaust is utilized. The exhaust mode enumeration module also includes different heat network transmission modes, with three methods based on quality regulation: maintaining a constant heat network circulating water flow rate, increasing the heat network circulating water flow rate, and decreasing the heat network circulating water flow rate. Under each operating mode, by combining all the heating modes of the heating unit group, the final unit heat and power output characteristics can be determined. List all possible combinations of heating methods for the heating unit group, and determine all heating modes under the current predicted conditions of electrical load, heat load, and return water temperature based on the heat and electricity output characteristics of each heating method.

[0028] Step 4: Construct an optimized scheduling revenue calculation model with the goal of maximizing the overall plant revenue, calculate the overall power generation-heating revenue of the entire plant under different heating modes, and finally output the most economically efficient co-generation and power scheduling strategy.

[0029] Construct an optimal scheduling revenue calculation model with the goal of maximizing overall plant revenue: (1); in, Total revenue for the entire plant; For the revenue generated from electricity generation; For heating revenue; For coal consumption costs, For auxiliary machine operating costs.

[0030] Among them, electricity generation revenue Calculate using the following formula: (2); In the new electricity market, different regions implement different pricing policies such as time-of-use pricing, spot markets, and ancillary peak-shaving services. To reflect the peak-shaving value of thermal power units, the differences in power generation revenue at different times are gradually increasing. for The revenue generated at any given time This represents the total time.

[0031] Among units with different heating modes, the costs vary significantly, especially for units utilizing high back pressure waste heat. The heating price quoted by the heating company often explicitly specifies the price for heating using high back pressure waste heat. Heating revenue. Calculate using the following formula: (3); (4); in, , These are the heating prices for different heating methods. , The heat supplied by different heating methods; This is the total heat supply.

[0032] Coal consumption cost Calculate using the following formula: (5); in, For the first Coal consumption cost of the unit This represents the total number of generating units in a power generation company; the total coal consumption cost of a power generation company is the sum of the coal consumption costs of each generating unit.

[0033] Auxiliary machine operating costs Calculate using the following formula: (6); in, For the first The operating cost of the auxiliary machine, This refers to the number of auxiliary machines in a power generation company; the total operating cost of auxiliary machines in a power generation company is the sum of the operating costs of each auxiliary machine.

[0034] In a heat network system with quality regulation, the auxiliary operating costs differ significantly among the three methods: maintaining a constant heat network circulating water flow rate, increasing the heat network circulating water flow rate, and decreasing the heat network circulating water flow rate. Increasing the heat network circulating water flow rate can enhance heat exchange power and improve the unit's heating capacity, but it will increase the power consumption of the heat network circulating pump. Therefore, the final operating mode should be based on the principle of maximizing benefits. The economic benefits of all feasible heating modes are calculated using formulas (1)-(6), and the optimal heat and power coordinated dispatch strategy is finally determined as the heat and power coordinated dispatch strategy that can guide operators.

[0035] This heat and power coordinated dispatch method based on the integrated regulation of heating source and network treats the heating network system and the heat source system as a whole. It relies on the strong heat storage capacity of the heating network system to give full play to the integrated regulation of heating source and network, and at the same time improves the triple capabilities of power generation, heating and flexible peak shaving.

[0036] See Figure 2 This embodiment also provides a co-current heating and power dispatching system based on integrated regulation of heating source network, including: The heat and power load prediction module is used to predict the power generation load, heat load and heating return water temperature within a set time scale based on the historical power generation dispatch instructions of the power grid system, historical weather and historical heat network dispatch instructions, and obtain the prediction results. The thermoelectric decoupling contradiction assessment module is used to assess whether there is a thermoelectric decoupling contradiction in the unit under the conventional heating mode and the current predicted thermoelectric load, based on the prediction results and the unit's thermoelectric transmission characteristics, and to obtain the assessment results. The exhaustive heating mode module is used to list all heating mode combinations of the heating unit group when the evaluation result indicates a contradiction between heat and electricity decoupling. Based on the heat and electricity output characteristics of each heating mode, it determines all heating mode combinations that meet the power generation and heating requirements under the current electrical load, heat load and return water temperature prediction conditions. The optimal revenue scheduling module is used to construct an optimized scheduling revenue calculation model with the goal of maximizing the overall revenue of the plant. It calculates the overall power generation-heating revenue of the plant under different heating modes and finally outputs the most economically efficient co-generation and power scheduling strategy.

[0037] Specifically, the heat and power load prediction module predicts the power generation load through historical power generation dispatch instructions of the power grid system, and predicts the heat load and return water temperature through historical weather and historical instructions of the heating network dispatch. It uses 15 minutes as the load prediction time unit to predict the predicted data of power generation, heating, and return water temperature of the heating network for 96 time periods throughout the day.

[0038] Specifically, the heating mode exhaustive enumeration module is used for: This paper lists all possible combinations of heating modes for the heating unit group. Based on the thermoelectric output characteristics of each heating mode, it determines all heating modes under the current predicted electrical load, heat load, and return water temperature. The heating mode combinations include at least one of perforated extraction, cylinder cut-off, and high back pressure. The thermoelectric operation of perforated extraction heating is a one- or two-dimensional operating domain, bounded by the boiler's maximum output boundary line, minimum boiler output boundary line, and minimum safe exhaust steam flow boundary line of the low-pressure cylinder. The thermoelectric output characteristics of cylinder cut-off operation are approximately a straight line, with a one-to-one correspondence between heat load and electrical load. The thermoelectric output characteristics of high back pressure heating are affected by the return water temperature; the lower the return water temperature, the more fully the waste heat from high back pressure exhaust steam is utilized. The heating mode combinations also include different heat network transmission modes, including three methods based on quality regulation: maintaining a constant heat network circulating water flow rate, increasing the heat network circulating water flow rate, and decreasing the heat network circulating water flow rate.

[0039] Specifically, the optimal scheduling module is used for: Using formula Calculate electricity generation revenue ;in, for The revenue generated at any given time Total time; Using formula Calculate heating revenue ;in, , Heating prices for different heating methods, , Heat supply for different heating methods; Using formula Calculate coal consumption cost :in, For the first Coal consumption cost of the unit This refers to the total number of generating units in the power generation company. Using formula Calculate auxiliary machine operating costs ;in, For the first The operating cost of the auxiliary machine, The number of auxiliary machines in a power generation company; An optimal scheduling revenue calculation model is adopted, aiming at maximizing the overall plant revenue. Calculate the total revenue of the entire plant. ; The economic benefits of calculating all feasible heating modes in the exhaustive module are calculated. Ultimately, a co-generation scheduling strategy that can guide operators was determined, namely, the co-generation scheduling strategy with the best economic benefits.

[0040] This integrated heating and power dispatching system, based on the unified regulation of heating source and network, treats the heating network system and the heat source system as a whole. Relying on the strong heat storage capacity of the heating network system, it leverages the unified regulation of heating source and network, while simultaneously enhancing the triple capabilities of power generation, heating, and flexible peak shaving.

[0041] This embodiment also provides a non-transitory computer-readable storage medium storing computer instructions, which, when executed by a processor, implement the heat and power coordinated scheduling method based on the integrated regulation of heating source network.

[0042] See Figure 3 This embodiment also provides an electronic device, including a memory 201 and a processor 202. The memory 201 and the processor 202 are interconnected via a bus. The memory 201 stores computer instructions, and the processor 202 executes the aforementioned thermoelectric coordinated scheduling method based on the integrated regulation of heating source network by executing the computer instructions.

[0043] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A heat and power coordinated scheduling method based on integrated regulation of heating source network, characterized in that, Includes the following steps: Based on historical power generation dispatch instructions, historical weather, and historical heating network dispatch instructions of the power grid system, the power generation load, heat load, and heating return water temperature within a set time scale are predicted, and the prediction results are obtained. Based on the forecast results and the unit's heat and power output characteristics, an assessment is conducted to determine whether there is a contradiction in the decoupling of heat and power in the unit under the conventional heating mode and the current forecasted heat and power load, and the assessment results are obtained. When the assessment results indicate a contradiction in thermoelectric decoupling, list all combinations of heating modes for the heating unit group, and based on the thermoelectric output characteristics of each heating mode, determine all combinations of heating modes that meet the power generation and heating requirements under the current predicted conditions of electrical load, heat load, and return water temperature. An optimized scheduling revenue calculation model is constructed with the goal of maximizing the overall plant revenue. The model calculates the overall power generation-heating revenue of the plant under different heating modes, and finally outputs the most economically efficient co-scheduled heat and power scheduling strategy.

2. The co-regulation method for heat and power dispatch based on integrated regulation of heating source network as described in claim 1, characterized in that, The method, based on historical power generation dispatch instructions, historical weather data, and historical heating network dispatch instructions, predicts the power generation load, heat load, and heating return water temperature within a set time scale, obtaining prediction results, specifically including: The power generation load is predicted by historical power generation dispatch instructions from the power grid system, and the heat load and return water temperature are predicted by historical weather and historical heating network dispatch instructions. The predicted data for power generation, heating, and heating network return water temperature are predicted for 96 time periods throughout the day, with each 15-minute period as the load prediction time unit.

3. The co-regulation method for heat and power dispatch based on integrated regulation of heating source network as described in claim 1, characterized in that, The heating method combination includes at least one of perforated steam extraction, cylinder cutting, and high back pressure; wherein, the thermoelectric operation of perforated steam extraction heating is a one- or two-dimensional operating domain, bounded by the boiler maximum output boundary line, the boiler minimum output boundary line, and the low-pressure cylinder minimum safe exhaust steam flow boundary line; the thermoelectric transmission characteristics of cylinder cutting operation mode are approximately a straight line, with heat load and electrical load corresponding one-to-one; the thermoelectric transmission characteristics of high back pressure heating are affected by the return water temperature, and the lower the return water temperature, the more fully the waste heat of high back pressure exhaust steam is utilized.

4. The co-regulation method for heat and power dispatch based on integrated regulation of heating source network as described in claim 1, characterized in that, The heating mode combination also includes different heating network delivery modes, which, based on quality regulation, include three methods: maintaining the heating network circulating water flow rate, increasing the heating network circulating water flow rate, and decreasing the heating network circulating water flow rate.

5. The co-regulation method for heat and power dispatch based on integrated regulation of heating source network as described in claim 1, characterized in that, The aforementioned construction of an optimized scheduling revenue calculation model aimed at maximizing overall plant revenue, calculating the plant's overall power generation-heating revenue under different heating modes, specifically includes: Using formula Calculate electricity generation revenue ;in, for The revenue generated at any given time Total time; Using formula Calculate heating revenue ;in, , Heating prices for different heating methods, , Heat supply for different heating methods; Using formula Calculate coal consumption cost :in, For the first Coal consumption cost of the unit This refers to the total number of generating units in the power generation company. Using formula Calculate auxiliary machine operating costs ;in, For the first The operating cost of the auxiliary machine, The number of auxiliary machines in a power generation company; An optimal scheduling revenue calculation model is adopted, aiming at maximizing the overall plant revenue. Calculate the overall power generation-heating revenue of the entire plant under different heating modes. .

6. A combined heat and power dispatching system based on integrated regulation of heating source network, characterized in that, include: The heat and power load prediction module is used to predict the power generation load, heat load and heating return water temperature within a set time scale based on the historical power generation dispatch instructions of the power grid system, historical weather and historical heat network dispatch instructions, and obtain the prediction results. The thermoelectric decoupling contradiction assessment module is used to assess whether there is a thermoelectric decoupling contradiction in the unit under the conventional heating mode and the current predicted thermoelectric load, based on the prediction results and the unit's thermoelectric transmission characteristics, and to obtain the assessment results. The exhaustive heating mode module is used to list all heating mode combinations of the heating unit group when the evaluation result indicates a contradiction between heat and electricity decoupling. Based on the heat and electricity output characteristics of each heating mode, it determines all heating mode combinations that meet the power generation and heating requirements under the current electrical load, heat load and return water temperature prediction conditions. The optimal revenue scheduling module is used to construct an optimized scheduling revenue calculation model with the goal of maximizing the overall revenue of the plant. It calculates the overall power generation-heating revenue of the plant under different heating modes and finally outputs the most economically efficient co-generation and power scheduling strategy.

7. The co-regulation system for heat and power based on integrated regulation of heating source network as described in claim 6, characterized in that, The thermoelectric load prediction module is specifically used for: The power generation load is predicted by historical power generation dispatch instructions from the power grid system, and the heat load and return water temperature are predicted by historical weather and historical heating network dispatch instructions. The predicted data for power generation, heating, and heating network return water temperature are predicted for 96 time periods throughout the day, with each 15-minute period as the load prediction time unit.

8. The co-regulation system for heat and power based on integrated regulation of heating source network as described in claim 6, characterized in that, The optimal benefit scheduling module is specifically used for: Using formula Calculate electricity generation revenue ;in, for The revenue generated at any given time Total time; Using formula Calculate heating revenue ;in, , Heating prices for different heating methods, , Heat supply for different heating methods; Using formula Calculate coal consumption cost :in, For the first Coal consumption cost of the unit This refers to the total number of generating units in the power generation company. Using formula Calculate auxiliary machine operating costs ;in, For the first The operating cost of the auxiliary machine, The number of auxiliary machines in a power generation company; An optimal scheduling revenue calculation model is adopted, aiming at maximizing the overall plant revenue. Calculate the overall power generation-heating revenue of the entire plant under different heating modes. ; according to The optimal co-location strategy for thermal power was ultimately determined to guide the operators.

9. A non-transitory computer-readable storage medium, characterized in that, It stores computer instructions, which, when executed by a processor, implement the thermoelectric coordinated scheduling method based on the integrated regulation of heating source network as described in any one of claims 1-5.

10. An electronic device, characterized in that, The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the thermoelectric coordinated scheduling method based on the integrated regulation of the heating source network as described in any one of claims 1-5.

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