Scheduling method and system of thermal power plant based on multi-energy complementation

Abstract

The invention provides a scheduling method and system for a thermal power plant based on multi-energy complementation, and belongs to the technical field of load scheduling, and the method specifically comprises the steps: determining a stable weather type in weather types according to the stability degree of the output data of new energy equipment of the thermal power plant under different weather types, and determining the output data of the new energy equipment of the thermal power plant according to the stable weather type data; and determining an identification scheme of setting processing of the energy storage device of the target type by combining the matching condition of the heat supply load and the electric load of the thermal power plant in the stable weather type, and determining a cooperative scheduling scheme of the heat supply load in the thermal power plant by taking the identification scheme as a basis and combining the output data of the new energy equipment in the stable weather type. And the service life of the energy storage device is prolonged.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of load scheduling, and particularly relates to a scheduling method and system for a thermal power plant based on multi-energy complementation. BACKGROUND

[0002] In order to improve the stability of the operation load of the thermal power plant, more and more thermal power plants internally build power generation equipment and energy storage systems of various energy forms to ensure the operation reliability of the thermal power plant.

[0003] In the prior art, a large energy storage device is often used to store the power generation of new energy equipment, and the energy storage device is used for supplementary processing when the heat supply load and the power supply load do not match. However, the above technical solution has the following technical problems: The above technical solution inevitably leads to frequent charging and discharging of the energy storage device, which inevitably reduces the service life of the energy storage device. Therefore, how to determine the heat supply load adjustment method according to the date data and power generation data of the relatively stable power generation of new energy equipment, and identify the energy storage demand of small energy storage devices, so as to avoid the frequent charging and discharging of large energy storage devices on the basis of reducing the cost of energy storage devices, has become a technical problem to be solved.

[0004] To solve the above technical problems, the application provides a scheduling method and system for a thermal power plant based on multi-energy complementation. SUMMARY

[0005] To achieve the purpose of the application, the application adopts the following technical solutions: Specifically, the application provides a scheduling method for a thermal power plant based on multi-energy complementation, which specifically comprises: S1, based on the output data of the thermal power plant, determining the heat supply load data of the thermal power plant, based on the matching of the heat supply load and the heat supply capacity of the thermal power plant in different dates, determining the stable weather type in the weather type based on the stability of the output data of the new energy equipment of the thermal power plant in different weather types when the preset scheme is not used for operation management of the new energy equipment; S2, according to the stable weather type data, and combining the matching of the heat supply load and the power load of the thermal power plant in the stable weather type, determining an identification scheme for setting and processing of the target type of energy storage device, and based on the identification scheme, combining the output data of the new energy equipment in the stable weather type to determine a coordinated scheduling scheme for the heat supply load in the thermal power plant.

[0006] The application has the following advantages: The stability of the output data of the new energy equipment of the thermal power plant under different weather types is determined to determine the stable weather type in the weather type, thereby realizing the screening of the weather type with relatively stable output, and directly using the power generation of the new energy equipment to supplement the power generation in the above weather type, and storing and heating treatment by using the target type of energy storage device when the power generation is not needed, thereby reducing the charge and discharge frequency of the large energy storage device and improving the service life.

[0007] The output data of the new energy equipment in the stable weather type is determined based on the identification scheme to determine the coordinated scheduling scheme of the heating load in the thermal power plant, which not only considers the number of weather types that can be used to reduce the heating load to identify the target type of energy storage capacity, but also considers the reliability of the amount of supplementary heating in different weather types caused by the output, and then determines the load reduction scheme of the heating load from the reliability and the number of weather types, thereby realizing accurate identification of the real demand of the capacity of the target type of energy storage device on the basis of ensuring the reliability of the heating treatment.

[0008] Further, the heating load data includes the load amount of the heating load of the thermal power plant in each period on different dates.

[0009] Specifically, the heating capacity of the thermal power plant is determined according to the power generation load of the thermal power plant in each period, and specifically determined according to the heating load interval under the power generation load.

[0010] Further, it is determined that the operation management of the new energy equipment does not need to use a preset scheme, specifically including: Based on the matching condition of the heating load on different dates and the heating capacity of the thermal power plant, the period in which the heating load on different dates is not in the heating load interval under the power generation load is determined as a matching deviation period. Based on the matching deviation period data on different dates, it is determined whether the operation management of the new energy equipment needs to use a preset scheme.

[0011] Further, the method for determining the coordinated scheduling scheme of the heating load in the thermal power plant is: Based on the identification scheme, and in combination with the output data of the new energy equipment in the stable weather type Based on the identification scheme, the stable weather type in which the energy storage capacity of the energy storage device needs to be identified by controlling the heating load to drop is determined as the load reduction weather type. According to the output data of the new energy equipment in the load reduction weather type, the average output of the new energy equipment in the load reduction weather type is determined. determining a coordinated dispatching scheme of the heat supply load in the thermal power plant based on the average power output and the load reduction weather type data.

[0012] It can be understood that the average power output is determined according to an average value of power outputs in a unit time on different dates in the load reduction weather type.

[0013] In a second aspect, the present application provides a computer system, comprising a memory and a processor connected in communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to perform the above-mentioned method for dispatching a thermal power plant based on multi-energy complementation.

[0014] Other features and advantages will be set forth in the following description of the application, and in part will be apparent from the description or can be learned by practice of the application, the purposes and other advantages of the present application will be realized and obtained by the structures particularly pointed out in the description and the appended drawings.

[0015] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the following preferred embodiments are specifically described in detail below, and the accompanying drawings are referred to. BRIEF DESCRIPTION OF DRAWINGS

[0016] The above-mentioned and other features and advantages of the present application will become more apparent by describing in detail example embodiments thereof with reference to the attached drawings.

[0017] Figure 1 is a flowchart of a method for dispatching a thermal power plant based on multi-energy complementation; Figure 2 is a flowchart of a method for determining that the operation and management of new energy equipment do not need to adopt a preset scheme; Figure 3 is a flowchart of a method for determining a stable weather type in a weather type. DETAILED DESCRIPTION

[0018] In order to make the person skilled in the art better understand the technical solutions in the specification, the technical solutions in the specification will be described clearly and completely below in conjunction with the drawings in the specification. Obviously, the described embodiments are only part of the embodiments of the specification, not all. Based on the embodiments of the specification, all other embodiments obtained by the person skilled in the art without creative labor should belong to the protection scope of the specification.

[0019] Embodiment 1 As shown in Figure 1 The present application provides a method for dispatching a thermal power plant based on multi-energy complementation, specifically comprising: S1 determines the heat supply load data of the thermal power plant based on the output data of the thermal power plant, determines the stable weather type in the stable weather type based on the stability of the output data of the new energy equipment of the thermal power plant under different weather types, based on the matching of the heat supply load and the heat supply capacity of the thermal power plant in different dates, and determines the operation management of the new energy equipment without using a preset scheme. S2 determines the identification scheme of the setting process of the target type of energy storage device according to the stable weather type data and in combination with the matching of the heat supply load and the electric load of the thermal power plant in the stable weather type, determines the coordinated scheduling scheme of the heat supply load in the thermal power plant based on the identification scheme and in combination with the output data of the new energy equipment in the stable weather type.

[0020] Further, the heat supply load data includes the load amount of the heat supply load of the thermal power plant in each time period in different dates.

[0021] Specifically, the heat supply capacity of the thermal power plant is determined according to the power generation load in each time period, and specifically determined according to the heat supply load interval under the power generation load.

[0022] Further, as Figure 2 shown, determining the operation management of the new energy equipment without using a preset scheme specifically includes: determining the time period in which the heat supply load in different dates is not in the heat supply load interval under the power generation load based on the matching of the heat supply load and the heat supply capacity of the thermal power plant in different dates, and taking it as a matching deviation time period; Step 1: Identify the mismatched time period, core concept: matching deviation time period, definition: in a time period of a certain date, when the actual heat supply load (user demand) is not in the heat supply load interval corresponding to the power generation load in this time period, this time period is a matching deviation time period.

[0023] This indicates that under the current power generation load, the thermal power plant cannot provide the heat required by the user through cogeneration. Either the demand is too high to be met, or the demand is too low to cause heat-electricity decoupling difficulty.

[0024] Based on the matching deviation time period data in different dates, it is determined whether a preset scheme needs to be used for the operation management of the new energy equipment.

[0025] Core concept: matching deviation date, definition: in a date, if the total length of the matching deviation time period accounts for more than a preset length ratio threshold in the total length of the day (length ratio), the date is marked as a matching deviation date.

[0026] This filters out those who do not match the problem is not accidental, but the problem has lasted for quite a long time "problem date".

[0027] It can be understood that, on the basis of the matching deviation period data in different dates, it is determined whether the preset scheme needs to be adopted for the operation management of the new energy equipment, specifically including: On the basis of the matching deviation period data in different dates, the dates with the time length proportion of the matching deviation period greater than the preset time length proportion are determined as the matching deviation dates; According to the number proportion of the matching deviation dates, it is determined whether the preset scheme needs to be adopted for the operation management of the new energy equipment.

[0028] Judgment basis: calculate the proportion of the number of matching deviation dates in the total number of analysis dates (number proportion), final decision: if the number proportion of matching deviation dates > preset date number proportion threshold, it is determined that the preset scheme needs to be adopted.

[0029] It can be understood that when the number proportion of the matching deviation dates is greater than the preset date number proportion threshold, the matching degree of the heating capacity and the heating load at this time is not high, and therefore it is determined that the preset scheme needs to be adopted for the operation management of the new energy equipment.

[0030] Heating load under the generation load: for a cogeneration unit, under a certain generation load, its heating capacity has an adjustable range (upper and lower limits). This range is the "heating load interval". If the user's heat demand exceeds this range, "matching deviation" occurs.

[0031] Preset scheme: energy storage: store the power generated by new energy (such as photovoltaic, wind power) directly into existing energy storage devices (such as batteries), electric heating: when needed, use electric heating equipment (such as electric boiler, heat pump) to convert stored electric energy into heat energy and inject it into the heating system.

[0032] Purpose of the scheme: this scheme provides a flexible heat source independent of the thermal-electric coupling relationship of the thermal power unit. When the thermal power unit cannot meet the heat demand, it can supplement the heating; when the thermal power unit produces too much heat, it can consume excess power and help to absorb new energy.

[0033] It should be noted that the preset scheme is to store the power generation of the new energy equipment directly into the existing energy storage device, and to use electric heating equipment for heating treatment when needed.

[0034] Analysis period: analyze the operation data of the past 30 days. Preset threshold: preset duration ratio threshold: 20% (i.e. more than 4.8 hours of mismatch in a day is considered serious), preset date quantity ratio threshold: 30% (i.e. more than 30% of the days have serious problems, then the scheme is started); Data analysis result: identify matching deviation period: the system checks whether the actual heating load of each day falls within the heating interval corresponding to the current power generation load hour by hour, for example, at noon on a certain day: at night during a cold wave: the power generation load has reached the maximum, but the corresponding maximum heating capacity is still lower than the user's high heat demand, resulting in a 5-hour matching deviation period.

[0035] Identify matching deviation date: among the 30 days, there are 12 days that have "matching deviation period total duration ratio > 20%", i.e. the number of matching deviation dates = 12 days.

[0036] Calculate frequency: matching deviation date quantity ratio = 12 / 30 = 40%, matching deviation date quantity ratio (40%) > preset date quantity ratio threshold (30%), determine that the preset scheme needs to be used for operation management of new energy equipment.

[0037] Further, the weather type is divided and processed according to the monitoring data of wind speed and the monitoring data of outdoor temperature, specifically, the wind speed is divided into multiple wind speed intervals by unit wind speed, the outdoor temperature is divided into multiple temperature intervals by unit temperature, and the dates in the same wind speed interval and temperature interval are divided into the same weather type.

[0038] Weather type division, division dimension: wind speed and outdoor temperature. Division method: divide the wind speed range into multiple wind speed intervals (such as 0-1 m / s, 1-2 m / s, 2-3 m / s...) by fixed interval (unit wind speed), divide the temperature range into multiple temperature intervals (such as -10℃ ~ -5℃, -5℃ ~ 0℃, 0℃ ~ 5℃...) by fixed interval (unit temperature), each combination of a wind speed interval and a temperature interval constitutes a weather type (for example: "wind speed 2-3, temperature 0-5℃" is an independent weather type).

[0039] It should be noted that in addition to the influence of wind speed, high or low outdoor temperature will also affect the power generation efficiency of the fan.

[0040] Further, as shown in Figure 3 , the method for determining the stable weather type in the weather type is: Determine the power output in different time periods under the weather type based on the power output data of the new energy equipment of the thermal power plant under the weather type, and take the average value of the power output in different time periods as a reference power output; Determine the deviation power period in the time period according to the deviation of the power output in the time period from the reference power output; Determine whether the weather type is a stable weather type based on the deviation power period.

[0041] It can be understood that the deviation power period is a period in which the deviation rate from the reference power output is greater than a preset deviation rate threshold.

[0042] It should be noted that determining whether the weather type is a stable weather type based on the deviation power period specifically includes: Taking the date with the deviation power period as a deviation power date, and determining whether the weather type is a stable weather type according to the proportion of the number of deviation power dates in the weather type.

[0043] It can be understood that if the proportion of the number of deviation power dates in the weather type is greater than a preset number proportion threshold, for example, 0.1, it is determined that the weather type does not belong to a stable weather type.

[0044] First step: Calculate the reference power output, operation: For a specific weather type, analyze all dates belonging to the type.

[0045] Calculation: Calculate the average value of the power output in different time periods (for example, 24 hours a day) under the weather type, and take this average value as the reference power output.

[0046] For example, for the weather type of "wind speed 2-3 levels, temperature 0-5℃", the average value of the power output at 1 am, the average value of the power output at 2 am... the average value of the power output at 1 pm... the average value of the power output at 11 pm of all such days are calculated, and 24 reference power outputs are obtained.

[0047] Second step: Identify the deviation power period, core concept: deviation power period, definition: if the deviation rate of the actual power output from the reference power output is greater than a preset deviation rate threshold in a time period of a date, the time period is a deviation power period.

[0048] Deviation rate calculation formula: | actual power output - reference power output | / reference power output, interpretation: this identifies those abnormal periods in which the power generation is greatly different from the typical expected value.

[0049] Step 3: Assess the universality of volatility, core concept: deviation output date, definition: a date is marked as a deviation output date as long as there is at least one deviation output period in that date.

[0050] Final decision: calculate the proportion of deviation output dates in the total number of days of this weather type (number proportion).

[0051] If the number proportion > preset number proportion threshold, it is determined that this weather type does not belong to the stable weather type, otherwise, it is determined to be a stable weather type.

[0052] Further, the method for determining the identification scheme of the setting process of the target type of energy storage device is: This method analyzes a specific stable weather type and determines whether to perform energy storage capacity identification in it through three steps: Based on the stable weather type data, determine the date number proportion in the stable weather type, and take it as the stable date number proportion; According to the matching condition of the heat supply load and the electric load of the thermal power plant in the stable weather type, determine the matching deviation period in the stable weather type; Based on the date number proportion and the matching deviation period data in different stable weather types, determine the identification scheme of the setting process of the target type of energy storage device.

[0053] It can be understood that, based on the date number proportion and the matching deviation period data in different stable weather types, determining the identification scheme of the setting process of the target type of energy storage device specifically includes: Based on the date number proportion in different stable weather types, determine whether there is a stable weather type with a date number proportion greater than a preset date number proportion threshold, if yes, determine the identification scheme of the setting process of the target type of energy storage device, at this time, the demand for the operation reliability of the target type of energy storage device is high, therefore, in different stable weather types, the energy storage capacity identification process of the energy storage device by reducing the heat supply load is not required, if not, go to the next step; Step 1: Dominant stable weather check (whether there is a very common single stable weather?) Judgment basis: whether there is a stable weather type with a date number proportion > preset date number proportion threshold, yes: it means that one stable weather is absolutely dominant, with a very high proportion. In this weather, the operation state of the system is the main body, so there is no need to reduce the heat supply load, and the demand for the operation reliability of the target type of energy storage device is high.

[0054] Determine the sum of the date quantity proportions in different stable weather types based on the date quantity proportions in different stable weather types, and take the sum as the total proportion, and determine whether the total proportion is greater than a preset proportion threshold. If yes, the identification scheme of the setting process of the target type of energy storage device is determined. At this time, the operation reliability of the target type of energy storage device is high, so the energy storage capacity of the energy storage device does not need to be identified in the form of heat supply load reduction in different stable weather types. If not, go to the next step; Second step: overall stability check (whether stable weather accounts for the majority overall) judgment basis: the sum of the date quantity proportions of all stable weather types (total proportion) > preset proportion threshold. Yes: it means that most of the time in a year is stable weather, and the overall operation environment of the system is reliable. Therefore, it is not necessary to carry out such destructive testing, and no testing is carried out in all stable weather types. No: it means that stable weather is a "scarce resource" and needs to be used and evaluated more carefully. Go to the next step.

[0055] Determine the energy storage adjustment demand factor in the stable weather type based on the average of the date quantity proportion in the stable weather type and the date quantity proportion in the matching deviation period, and determine whether the energy storage adjustment demand factor in the stable weather type is greater than a preset demand factor threshold. If yes, the identification scheme of the setting process of the target type of energy storage device under the stable weather type is determined. At this time, the operation reliability of the target type of energy storage device is high, so the energy storage capacity of the energy storage device does not need to be identified in the form of heat supply load reduction in the stable weather type. If not, the identification scheme of the setting process of the target type of energy storage device under the stable weather type is determined. The energy storage capacity of the energy storage device needs to be identified in the form of heat supply load reduction in the stable weather type.

[0056] Third step: comprehensive demand evaluation (whether the system really needs energy storage adjustment under such stable weather), judgment basis: calculate the energy storage adjustment demand factor and determine whether it is > preset demand factor threshold. Yes: it means that the actual demand of the system for energy storage adjustment is high under the stable weather type. In order to ensure that the energy storage device can work reliably at critical moment, no testing is needed. No: it means that the dependence of the system on energy storage adjustment is low under the stable weather type, which is a safe window for testing. Conclusion: heat supply load reduction test is needed.

[0057] Energy storage adjustment demand factor: factor 1: date quantity proportion in stable weather type (frequency of occurrence of this weather), factor 2: date quantity proportion in matching deviation period (frequency of mismatch between the capacity of the thermal power plant itself and the demand under this weather), energy storage adjustment demand factor = (factor 1 + factor 2) / 2.

[0058] Identification processing scheme: need to test: in the stable weather type, the need to control the heating load drop, observe the response and actual energy storage / release capacity of the energy storage device, to identify its real available energy storage capacity, no need to test: the operation reliability of the target type of energy storage device is high, so there is no need to test.

[0059] Pre-set threshold: pre-set date quantity ratio threshold (single type): 9%, pre-set ratio threshold (total ratio): 15%, pre-set demand factor threshold: 0.2 (i.e. 20%) Data analysis results (for stable weather type A): date quantity ratio: the stable weather type A accounts for 8% in a year, total ratio: the total ratio of all stable weather types is 45%.

[0060] Date quantity ratio of matching deviation period: among all the dates of weather type A, 10% of the dates have "matching deviation period" of mismatch between heating and power generation.

[0061] First step (dominant check): date quantity ratio of type A (8%) < single type threshold (9%), conclusion: the condition is not met, and the second step is entered.

[0062] Second step (overall stability check): total ratio of all stable weather types (45%) > total ratio threshold (15%), and the energy storage capacity of the energy storage device in the stable weather type does not need to be identified and processed by controlling the heating load drop.

[0063] Further, the method for determining the coordinated scheduling scheme of the heating load in the thermal power plant is: The core goal is to find a balance point between performing energy storage capacity testing, ensuring heating reliability, and utilizing new energy, and to perform load reduction processing in certain weather types, so that excess new energy generation is promptly processed for heating, reducing the capacity demand of the target type of energy storage capacity.

[0064] Based on the identification scheme, and in combination with the output data of the new energy equipment in the stable weather type Based on the identification scheme, determine the stable weather type that needs to control the heating load drop to identify the energy storage capacity of the energy storage device, and take it as the load reduction weather type; According to the output data of the new energy equipment of the load reduction weather type, determine the average output of the new energy equipment in the load reduction weather type; Based on the average output and the load reduction weather type data, determine the coordinated scheduling scheme of the heating load in the thermal power plant.

[0065] It can be understood that the average power is determined according to the average value of the power in a unit time on different dates in the load reduction weather type.

[0066] Further, based on the average power and the load reduction weather type data, a coordinated scheduling scheme of the heat supply load in the thermal power plant is determined, specifically comprising: The number of the load reduction weather types is obtained, and it is judged whether the number of the load reduction weather types is greater than a preset weather type number threshold. If yes, a preset proportion is used to determine the coordinated scheduling scheme of the heat supply load in the thermal power plant, that is, the demand of the heat supply load in the load reduction weather type is reduced by a preset proportion, and the remaining is supplemented by the energy storage device of the target type, and if not, the next step is entered. It is judged whether the proportion of the number of dates in the load reduction weather type is greater than a preset number proportion threshold (less than a preset date number proportion threshold). If yes, it is determined that the coordinated scheduling scheme of the heat supply load in the thermal power plant in the load reduction weather type is to reduce the demand of the heat supply load in the load reduction weather type by a preset proportion, and the remaining is supplemented by the energy storage device of the target type, and if not, the next step is entered. Based on the average power in the load reduction weather type, the heat supply amount that can be generated by the average power is determined, and the coordinated scheduling scheme of the heat supply load in the load reduction weather type is determined based on the heat supply amount.

[0067] In the above steps, the first step: universal inspection (is this kind of test weather common?), the judgment basis: the number of load reduction weather types > preset weather type number threshold, yes: it means that there are many kinds of weather to be tested, and the situation is complex. In order to simplify the operation, a unified and conservative fixed proportion load reduction strategy (preset proportion) is adopted, and no: the next step is entered.

[0068] The second step: frequency check (is the number of days of this kind of test weather many?), the judgment basis: the proportion of the number of dates of the load reduction weather type > preset number proportion threshold, yes: it means that although the types of test weather are not many, but the total number of days is very frequent. Similarly, a fixed proportion load reduction strategy is adopted to ensure the stability of operation, and no: the next step is entered.

[0069] The third step: accurate scheduling (based on the fine calculation of new energy power), the judgment basis: the first two steps are not satisfied, which means that the test window is neither common nor frequent, and more refined operation can be performed, operation: the average power of the new energy equipment in the load reduction weather type is calculated, and the heat supply amount that can be provided is converted (for example, through the efficiency of the electric boiler or heat pump).

[0070] Coordinated scheduling scheme: The planned heat supply of the unit = total heat load demand - heat supply that can be provided by new energy sources. The calculated planned heat supply of the unit is the part that the unit needs to undertake in the final scheme.

[0071] Safety Boundaries and Dynamic Adjustments: The plan establishes a safety circuit breaker mechanism: if, during implementation, it is found that the actual heating supply cannot meet user demand on a frequent (more than a preset number of days) basis under reduced load weather conditions, the reduced load test strategy will be immediately terminated to ensure heating safety.

[0072] The value of the solution: By reducing the heating load of conventional units, the necessary space for supplementary heat energy can be created for energy storage devices, thereby reducing the demand for energy storage capacity and lowering investment costs. Specific Implementation Scenario setting: Reduced load weather type: We have identified a type of weather that needs to be tested, let's call it "Stable Weather Type B".

[0074] Preset thresholds: Preset weather type quantity threshold: 2 types, preset quantity percentage threshold: 5%, fixed preset percentage: 5% (for the first and second strategies), data analysis results (for load reduction weather type B): Quantity of load reduction weather type: only 1 type, percentage of dates of this type: approximately 3% of the whole year, average output: under this weather type, the average output of new energy (wind turbines) can be converted to provide 5 MW of heat through electric heating devices, total heating load demand: assuming that the total heating demand of the system is 50 MW during the test period.

[0075] Decision-making process: Step 1 (general check): Number of weather types with reduced load (1 type) < threshold (2 types), conclusion: condition not met, proceed to step 2.

[0076] Step 2 (Frequency Check): The percentage of dates (3%) < the threshold (5%). Conclusion: The condition is not met. Proceed to Step 3.

[0077] Step 3 (Precise Scheduling): Calculate the coordinated scheduling scheme: New energy can provide heating = 5 MW, and the planned heating of the unit = total demand 50 MW - new energy contribution 5 MW = 45 MW.

[0078] Final solution: Under "stable weather type B", the coordinated dispatch scheme for thermal power plants is as follows: the units will only provide 45MW of base load heat, and the remaining 5MW of heat demand will be provided by new energy power through electric heating equipment.

[0079] Scheme execution and safety monitoring: execution: when the weather forecast is "type B", the heat supply output of the unit in the thermal power plant control center is set to 45MW, and the electric heating device is started at the same time to provide 5MW of heat.

[0080] Realize load reduction: the unit load is reduced from 50MW to 45MW, which generates a 5MW power surplus space, which can be used to charge the energy storage device to test the capacity and promote new energy consumption: 5MW equivalent of new energy power is consumed locally, guaranteeing heat supply: the total demand of 50MW on the user side is fully met, and the minimum amount of energy storage is determined through real-time heat treatment, reducing investment cost.

[0081] Safety fuse: the system will monitor the actual heat supply effect on the user side. If it is found that the room temperature cannot meet the requirements on multiple "type B" days, it means that the reduction of 5MW is too large. The system will trigger the fuse mechanism and no longer execute this load reduction scheme in similar future weather, but return to the traditional mode of unit full load heat supply to ensure heat supply safety.

[0082] This set of coordinated scheduling scheme determination method embodies an intelligent decision-making process from global to local, from rough to fine, and with safety rollback. It ensures that while pursuing system optimization and equipment monitoring, the reliability of heat supply is always the top priority, realizing intelligent upgrading with controllable risk.

[0083] It can be understood that the coordinated scheduling scheme of the heat supply load in the load reduction weather type based on the heat supply amount specifically includes: Based on the heat supply amount, the actual heat supply amount of the unit in a unit time is determined based on the heat supply amount of the unit minus the heat supply amount, and the actual heat supply amount is taken as the heat supply amount of the unit.

[0084] Further, if the demand amount of the preset proportion of the heat supply load is greater than the actual heat supply amount, the heat supply amount in the load reduction weather type is determined based on the actual heat supply amount. Through the adjustment of the heat supply amount, the demand amount of the energy storage capacity of the target type of energy storage device can be reduced, so that when the new energy equipment does not need to supplement the on-grid power in the stable weather type, the target type of energy storage device can be used for heat supply processing, and through the load reduction processing, the demand amount of the energy storage capacity of the target type of energy storage device can be reduced.

[0085] Further, the coordinated scheduling scheme of the heat supply load in the load reduction weather type is not fixed, that is, if the heat supply amount in the load reduction weather type is insufficient, for example, the heat supply amount is insufficient on more than a preset number of days, that is, the heat supply demand of the heat user cannot be met, at this time, the load reduction processing is not performed.

[0086] Embodiment 2 In a second aspect, the present application provides a computer system, comprising a memory and a processor connected by communication, and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to implement the method for scheduling a multi-energy complementary based thermal power plant.

[0087] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment mainly describes the difference from other embodiments. Especially, for the device, equipment and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the part of the method embodiments.

[0088] The above describes specific embodiments of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different than the order in the embodiments and still achieve the desired result. In addition, the processes depicted in the figures do not necessarily require the particular order shown or sequential order to achieve the desired results. In some implementations, multitasking and parallel processing can be advantageous or possible.

[0089] The above only describes one or more embodiments of the specification and does not limit the specification. One or more embodiments of the specification can have various changes and variations for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of one or more embodiments of the specification shall be included in the scope of the claims of the specification.

Claims

1. A scheduling method for a multi-energy complementary thermal power plant, characterized in that, Specifically, it includes: Based on the output data of the thermal power plant, the heating load data of the thermal power plant is determined. Based on the matching of the heating load and the heating capacity of the thermal power plant on different dates, it is determined that when there is no need to adopt a preset scheme for the operation and management of new energy equipment, the stable weather type is determined by the stability of the output data of the new energy equipment of the thermal power plant under different weather types. Based on the stable weather type data and the matching of heating load and electricity load of the thermal power plant in the stable weather type, an identification scheme for setting up and processing the target type of energy storage device is determined. Based on the identification scheme and combined with the output data of new energy equipment in the stable weather type, a coordinated scheduling scheme for the heating load in the thermal power plant is determined.

2. The scheduling method for a multi-energy complementary thermal power plant as described in claim 1, characterized in that, The heating load data includes the heating load of the thermal power plant on different dates and at different times.

3. The dispatching method for multi-energy complementary thermal power plants as described in claim 1, characterized in that, The heating capacity of the thermal power plant is determined based on the power generation load of the thermal power plant in each time period, specifically based on the heating load range under the power generation load.

4. The dispatching method for multi-energy complementary thermal power plants as described in claim 1, characterized in that, It has been determined that there is no need to adopt a preset scheme for the operation and management of new energy equipment, specifically including: Based on the matching of heating load and heating capacity of the thermal power plant on different dates, the time periods during which the heating load on different dates is not within the heating load range under the power generation load are determined and regarded as the matching deviation period. Based on the matching deviation time period data in different dates, it is determined whether a preset scheme needs to be adopted for the operation and management of new energy equipment.

5. The dispatching method for multi-energy complementary thermal power plants as described in claim 4, characterized in that, Based on the matching deviation time period data in different dates, determine whether a preset scheme needs to be adopted for the operation and management of new energy equipment, specifically including: Based on the matching deviation time period data of different dates, the dates whose duration of the matching deviation time period is greater than the preset duration percentage are determined and used as the matching deviation dates; Based on the proportion of the number of matching deviation dates, it is determined whether a preset scheme needs to be adopted for the operation and management of new energy equipment.

6. The scheduling method for a multi-energy complementary thermal power plant as described in claim 5, characterized in that, When the proportion of the number of matching deviation dates is greater than the preset date proportion threshold, it is determined that a preset scheme needs to be adopted for the operation and management of new energy equipment.

7. The dispatching method for a multi-energy complementary thermal power plant as described in claim 1, characterized in that, The method for determining the coordinated scheduling scheme of the heating load in the thermal power plant is as follows: Based on the aforementioned identification scheme, and combined with the output data of new energy equipment in the stable weather type, Based on the identification scheme, identify the stable weather types that require control of the heating load reduction to determine the energy storage capacity of the energy storage device, and use these as the load reduction weather types; Based on the output data of the new energy equipment under the aforementioned reduced load weather type, determine the average output of the new energy equipment under the aforementioned reduced load weather type; Based on the average power output and the data on weather types with reduced load, a coordinated scheduling scheme for the heating load in the thermal power plant is determined.

8. The dispatching method for a multi-energy complementary thermal power plant as described in claim 7, characterized in that, The average output power is determined based on the average output power over a unit of time on different dates during the reduced load weather type.

9. The dispatching method for a multi-energy complementary thermal power plant as described in claim 7, characterized in that, Based on the average power output and the data on weather types with reduced load, a coordinated scheduling scheme for the heating load in the thermal power plant is determined, specifically including: The number of the load reduction weather types is obtained, and it is determined whether the number of the load reduction weather types is greater than the preset weather type number threshold. If so, the coordinated scheduling scheme of the heating load in the thermal power plant is determined by using a preset ratio, that is, the heating load demand is reduced by a preset ratio in the load reduction weather type, and the heating is carried out. The remaining load is supplemented by the target type of energy storage device. If not, proceed to the next step. Determine whether the proportion of the number of days in the reduced load weather type is greater than a preset proportion threshold (less than a preset date proportion threshold). If so, determine that the coordinated scheduling scheme of the heating load in the thermal power plant in the reduced load weather type is to reduce the demand of the heating load by a preset proportion in the reduced load weather type and carry out heating treatment. The remaining load is supplemented by the target type of energy storage device. If not, proceed to the next step. Based on the average output power in the aforementioned reduced load weather type, determine the heat supply that the average output power can generate, and formulate a coordinated scheduling scheme for the heating load in the aforementioned reduced load weather type based on the heat supply.

10. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a scheduling method for a multi-energy complementary thermal power plant as described in any one of claims 1-9.

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