Thermal generator set load economic distribution method, system and equipment and storage medium
By obtaining and optimizing the real-time operating parameters of thermal power generator sets, and using the load economic distribution model to calculate the optimal load parameters of each unit, the problem that individual parameters in the existing technology cannot be optimal, the efficient operation of the unit in the economic load range is achieved, and energy consumption is reduced.
Patent Information
- Application Number
- CN202510485692.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-17
- Publication Date
- 2025-08-01
AI Technical Summary
Although the existing economic distribution method for load distribution of thermal power generators can achieve the optimal economic state overall, individual parameters such as ammonia consumption, fly ash or coal quantity cannot achieve the optimal target, resulting in some indicators of power plants exceeding the standard.
By obtaining the real-time operating parameters of each unit, using the load economic distribution model for optimization cycle calculation, determining the load parameters of each unit in the optimal state, and adjusting them according to the power grid scheduling instructions, so that each unit operates in the most economic load range.
It realizes that the parameters of each unit are optimal when meeting the overall load requirements, avoiding the problem of excessive unit energy consumption and improving the overall economics of the power plant.
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Figure CN120414713A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of control methods for thermal power generating units, and particularly to a method, system, device, and storage medium for economic load distribution of thermal power generating units. Background Art
[0002] The load of a thermal power generating unit is the electrical load borne by the generating unit during operation, that is, the electrical energy output generated by the generating unit within a specific time. The level of the load of a thermal power generating unit directly affects the stability of the power system and the reliability of power supply. Especially during peak electricity consumption periods, if the thermal power generating unit can maintain a high load rate, it can effectively balance the load fluctuations of the power grid and ensure the continuity and stability of power supply. Therefore, the economic distribution of the load of thermal power generating units is very important.
[0003] Currently, the load adjustment of large-scale thermal power generating units mainly accepts the dispatching instructions of the regional power grid. After the power generation enterprise receives the plant-level AGC instruction issued by the power dispatching center, it then distributes the load of the units within the plant according to the operating indicators of its own equipment and units. However, during this process, due to reasons such as different equipment states, performance differences, and insufficient consideration of personnel allocation of each unit, the parameters required by the whole plant's units often do not operate within the most economic index range, resulting in high energy consumption of the whole plant's units.
[0004] For this problem, an economic load distribution method for a new energy power system includes: constructing an objective function of the new energy power system; initializing a population according to preset constraint conditions; calculating the fitness value of each particle according to the objective function and the position of each particle; calculating the individual optimal value of each particle and the global optimal value of the population according to the fitness value of each particle; updating the velocity and position of each particle in the population according to the particle swarm algorithm; performing selection, crossover, and mutation operations of the genetic algorithm on the population to obtain a new population, and updating the crossover probability and mutation probability; satisfying the end condition, outputting the particle corresponding to the global optimal value, and taking the economic load parameters of each generating unit in the position of the particle as the optimal distribution result. The method is planned according to the actual situation of the new energy power system, is more adaptable to the actual situation of the new energy power system, and can achieve optimal economic load distribution.
[0005] However, the existing such distribution method takes the overall power system as the goal, comprehensively calculates and considers the information after summing up each unit to be the smallest for optimal design. In this way, after the comprehensive minimum optimization, the single reference quantity of a single unit cannot reach the optimal, for example, the ammonia consumption, fly ash, or the coal consumption of the unit, etc. cannot reach the optimal goal, which in turn causes some indicators of the power plant to exceed the standard. Summary of the Invention
[0006] One of the objectives of the present invention is to provide a method for economic load distribution of a thermal power generation unit to solve the problem that individual parameters cannot reach the optimal target when the overall economy of the generation unit is optimal.
[0007] The method for economic load distribution of the thermal power generation unit in this solution includes the following steps:
[0008] Step 1: Obtain the real-time operation parameter data of each unit in the thermal power plant, and configure the obtained real-time operation parameter data of each unit into the database;
[0009] Step 2: Compare the data in the database through permutation and combination by a load economic distribution model of a plurality of preset parameter indicators, calculate the optimal values of each parameter indicator of the unit through optimization loop, and output the load parameters of each unit when each parameter indicator is in the optimal value state;
[0010] Step 3: Regulate the load of each unit according to the output load parameters of each unit, so that the required parameters of each unit operate in the most economic load range.
[0011] Further, the real-time operation parameter data of the unit includes: the minimum load and maximum load of each unit, various coal qualities and the prices of various coal qualities, the coal consumption, ammonia consumption, fly ash, and carbon dioxide production of each unit under various load and various coal quality conditions.
[0012] Further, the load economic distribution model includes: total coal consumption model, total ammonia consumption model, total fly ash model, total power generation cost model.
[0013] Further, the total coal consumption model is expressed as: B = ∑ i=0 Q i+1 *B i+1 , where Q i+1 represents the load of each unit, and B i+1 represents the coal consumption of the corresponding unit;
[0014] The total ammonia consumption model is expressed as: A 总 = ∑ i=0 Q i+1 *A i+1 , where A i+1 represents the ammonia consumption of the corresponding unit;
[0015] The total fly ash model is expressed as: Aad 总 = ∑ i=0 Q i+1 *Aad i+1 , where Aad i+1 represents the fly ash of the corresponding unit;
[0016] The total power generation cost model is expressed as: K = K cer +KB *B, where K cer represents the cost of carbon dioxide quota, and K B represents the price of coal quality. The cost of carbon dioxide quota is expressed as:
[0017] K cer = [(∑ i=0 Q i+1 *H i+1 ) - (∑ i=0 Q i+1 *F cer )] * K H ;
[0018] In the formula, H i+1 represents the CO2 output of the corresponding unit, and K H represents the unit price of CO2, and F cer represents the carbon emission index per 10,000 kW·h of power generation under the enterprise's carbon quota.
[0019] The second object of the present invention is to provide a load economic distribution system for thermal power generating units to adjust the individual parameters to reach the optimal goal when the overall economy of the generating units is optimal.
[0020] The load economic distribution system for thermal power generating units includes:
[0021] Unit management module: configured to collect the minimum load, maximum load parameters of each unit, whether the unit is operating, and whether the unit equipment is in a fault state parameter and store them as the parameter basis for use in optimal configuration;
[0022] Coal quality management module: configured to collect various coal qualities and the price parameters of various coal qualities and store them as the parameter basis for use in optimal configuration;
[0023] Unit load management module: configured to collect the coal consumption, ammonia consumption, fly ash, and carbon dioxide output parameters of each unit under different loads, and distribute the coal consumption, ammonia consumption, fly ash, and carbon dioxide output parameters to each different load for storage to form a configuration parameter database, and the configuration parameter database is used as the parameter basis for optimal configuration;
[0024] Production distribution calculation module: The production distribution calculation module is embedded with a load economic distribution model, configured to perform permutation and combination form comparison and optimization loop calculation on the data in the configuration parameter database, and calculate respectively the optimal values of the total coal consumption, total ammonia consumption, total fly ash, and total power generation cost of the units under different total loads and different coal qualities, and recommend the load parameters of each unit when the required parameters are in the optimal value state.
[0025] Furthermore, the production allocation calculation module includes an optimal coal consumption calculation unit, an optimal ammonia consumption calculation unit, an optimal fly ash calculation unit, and an optimal power generation cost calculation unit;
[0026] The optimal coal consumption calculation unit: configured to calculate the maximum coal consumption and the minimum coal consumption of the unit according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and coal consumption parameters of each unit when the minimum coal consumption occurs;
[0027] The optimal ammonia consumption calculation unit: configured to calculate the maximum ammonia consumption and the minimum ammonia consumption according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and ammonia consumption parameters of each unit when the minimum ammonia consumption occurs;
[0028] The optimal fly ash calculation unit: configured to calculate the maximum fly ash and the minimum fly ash according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and fly ash parameters of each unit when the minimum fly ash occurs;
[0029] The optimal power generation cost calculation unit: configured to calculate the optimal power generation cost according to the input coal quality type parameters, the total load number of the plant-level AGC instruction issued by the power dispatching center, the output of carbon dioxide, and the unit price of carbon dioxide, and recommend the load number parameters, coal consumption parameters, and carbon dioxide generation amount of each unit when the optimal power generation cost occurs.
[0030] A third object of the present invention is to provide a device for economically allocating the load of a thermal power generating unit, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for economically allocating the load of a thermal power generating unit are implemented.
[0031] A fourth object of the present invention is to provide a computer-readable storage medium storing a computer program, and when the program is executed by a processor, the steps of the above-mentioned method are implemented.
[0032] The beneficial effects of this solution are:
[0033] Mainly according to the equipment conditions and performance characteristics of each unit, the indexes such as coal consumption, ammonia consumption, fly ash and carbon output of each unit during operation at different load stages under various coal quality conditions are collected and stored. When the AGC instruction of the plant-wide load is received, under the condition of meeting the requirements of the total load instruction, according to the performance indexes stored in each unit, the combined calculation is carried out through the operation logic designed by the system to obtain the most economical operation interval of a certain performance index required by the enterprise, so as to carry out the unit load distribution. Compared with the existing direct distribution, the distribution method provided by this scheme can avoid the problem that the operating parameters required by the units of a thermal power plant are not in the economic index interval, resulting in high energy consumption of the whole plant's units. Brief Description of the Drawings
[0034] Figure 1 It is a schematic diagram of an embodiment of the method, system, device and storage medium for economic load distribution of a thermal power generation unit;
[0035] Figure 2 It is a trend chart of ammonia consumption of a unit under 3500 coal quality provided by the method for economic load distribution of a thermal power generation unit. Detailed Description of the Preferred Embodiments
[0036] The following is a further detailed description through specific embodiments.
[0037] Embodiment
[0038] The method for economic load distribution of a thermal power generation unit, as Figure 1 shown, includes the following steps:
[0039] Step 1, obtaining the real-time operation parameter data of each unit in a coal-fired power plant, and configuring the obtained real-time operation parameter data of each unit into a database.
[0040] Specifically, the real-time operation parameter data of the unit includes: the minimum load and maximum load of each unit, various coal qualities and the prices of various coal qualities, the coal consumption, ammonia consumption, fly ash, and carbon dioxide output of each unit under various loads and various coal quality conditions. The detection of each data is carried out through existing sensors, etc., which will not be elaborated here.
[0041] Step 2, arranging and combining and comparing the data in the database by a load economic distribution model of a plurality of preset parameter indexes, calculating the optimal values of each parameter index of the unit through an optimized loop, and outputting the load parameters of each unit when each parameter index is in the optimal value state.
[0042] Step 3, adjusting and controlling the load of each unit according to the output load parameters of each unit, so that the required parameters of each unit operate in the most economical load interval.
[0043] Specifically, the load economic distribution model includes: total coal consumption model, total ammonia consumption model, total fly ash model, and total power generation cost model.
[0044] The calculation formula for the total coal consumption is: B = ∑ i=0 Q i+1 *B i+1 , where in the formula, B represents the total coal consumption, Q i+1 represents the load of each unit, and B i+1 represents the coal consumption of the corresponding unit.
[0045] The calculation formula for the total ammonia consumption is: A 总 = ∑ i=0 Q i+1 *A i+1 , where in the formula, A 总 represents the total ammonia consumption of the unit, and A i+1 represents the ammonia consumption of the corresponding unit.
[0046] The total ammonia consumption is the instantaneous total ammonia consumption of the unit, and is calculated using the above formula, that is, instantaneous total ammonia consumption = unit load * unit instantaneous ammonia consumption rate. In this example, the unit instantaneous ammonia consumption rate is used to calculate the instantaneous total ammonia consumption. For example:
[0047] Taking four units A, B, C, and D as an example, and taking the total load parameter of 700 MW of the central plant-level AGC instruction issued by the input power grid dispatching as an example, and selecting 3500 coal quality. For example, the load of unit A is 150 MW, and the ammonia consumption of unit A is 4.5 Kg / 10,000 kW·h; the load of unit B is 150 MW, and the ammonia consumption of unit B is 4.86 Kg / 10,000 kW·h; the load of unit C is 150 MW, and the ammonia consumption of unit C is 3.63 Kg / 10,000 kW·h; the load of unit D is 250 MW, and the ammonia consumption of unit D is 3.22 Kg / 10,000 kW·h.
[0048] When calculating, after converting the units according to the actual production, the instantaneous total ammonia consumption of the four units can be calculated as: 15 * 4.5 + 15 * 4.86 + 15 * 3.63 + 25 * 3.22 = 275.35 Kg / 10,000 kW·h.
[0049] According to the total load parameter of the central plant-level AGC instruction issued by the power grid dispatching, the four units A, B, C, and D first perform load configuration. For example, in this embodiment, taking the total load parameter of 700MW of the central plant-level AGC instruction issued by the input power grid dispatching as an example, after the combination of each unit, unit A has 150 load types, such as 150MW, 151MW, 152MW, …, unit B has 150 load types, such as 150MW, 151MW, 152MW, …, unit C has 150 load types, such as 150MW, 151MW, 152MW, …, unit D has 150 load types, such as 150MW, 151MW, 152MW, …, and finally the number of combined permutations is 150 * 150 * 150 * 150 combinations.
[0050] Obtain the minimum instantaneous ammonia consumption of each of the four units A, B, C, and D under 150 * 150 * 150 * 150 load conditions and configure it into the database. When performing load distribution, when the total load parameter of the central plant-level AGC instruction issued by the power grid dispatching is 700MW and the selected coal quality is 3500, the load economic distribution model will perform a comparison calculation in the form of permutation and combination based on the data in the database and the conditions of the total load parameter of 700M and coal quality of 3500, and obtain from the database the loads of the four units A, B, C, and D when the ammonia consumption is the lowest under the condition of the total load parameter of 700MW and coal quality of 3500, which can make the ammonia consumption of the required unit operating parameters in an economic state when meeting the total load parameter of 700MW.
[0051] Specifically, according to the total load parameter of the central plant-level AGC instruction issued by different power grid dispatching, obtain the minimum instantaneous ammonia consumption of each of the four units A, B, C, and D under different loads when meeting the total load parameter of the AGC instruction, and configure it into the database.
[0052] The calculation formula for the total fly ash is: Wherein, Aad in the formula 总 represents the total fly ash of the unit, Q i+1 represents the load of each unit, and Aad i+1 represents the fly ash of the corresponding unit.
[0053] The total fly ash is the instantaneous total fly ash of the unit, and the above formula can be used for calculation, that is, the instantaneous total fly ash = unit load * unit instantaneous fly ash percentage. In this example, the unit instantaneous fly ash percentage is used to calculate the instantaneous total fly ash. For example:
[0054] In this embodiment, taking four units A, B, C, and D as an example, with the total load parameter of the central plant-level AGC instruction issued by the input power grid dispatching being 700 MW as an example, coal quality 3500 is selected. For example, the load of unit A is 150 MW, and the fly ash of unit A is 6.6%; the load of unit B is 150 MW, and the fly ash of unit B is 6.54%; the load of unit C is 199 MW, and the fly ash of unit C is 6.67%; the load of unit D is 201 MW, and the fly ash of unit D is 6.52%.
[0055] The total fly ash of the four units is calculated as: 150 * 6.6% + 150 * 6.54% + 199 * 6.67% + 201 * 6.52% = 4608.85%.
[0056] The calculation formula for the total power generation cost: K = K cer + K B * B, where in the formula, K represents the total power generation cost of the unit, K cer represents the carbon dioxide quota cost, K B represents the coal quality price, and B represents the total coal consumption.
[0057] The calculation formula for the carbon dioxide quota cost is as follows:
[0058]
[0059] Among them, in the formula, Q i+1 represents the load of each unit, H i+1 represents the CO2 output of the corresponding unit, K H represents the unit price of CO2, and F cer represents the carbon emission index per 10,000 kW·h of power generation under the enterprise's carbon quota.
[0060] In this embodiment, taking four units A, B, C, and D as an example, with the total load parameter of the central plant-level AGC instruction issued by the input power grid dispatching being 700 MW as an example, coal quality 3500 is selected. For example, the load of unit A is 150 MW, the coal consumption of unit A is 372.60 g / kW·h, and the carbon dioxide output is 1.1 Kg / 10,000 kW·h; the load of unit B is 150 MW, the coal consumption of unit B is 361.60 g / kW·h, and the carbon dioxide output is 1.2 Kg / 10,000 kW·h; the load of unit C is 150 MW, the coal consumption of unit C is 359.60 g / kW·h, and the carbon dioxide output is 1.4 Kg / 10,000 kW·h; the load of unit D is 250 MW, the coal consumption of unit D is 341.70 g / kW·h, and the carbon dioxide output is 1.3 Kg / 10,000 kW·h.
[0061] The unit price of CO2 is: 750 yuan / ton, converted to 0.75 yuan / Kg; the coal quality price is: 550 yuan / ton, converted to 0.00055 yuan / g; Fcer The carbon emission index per 10,000 kWh of power generation under the enterprise's carbon quota, i.e., F cer is: 0.78 Kg / 10,000 kWh.
[0062] According to the above formula for the total coal consumption: Among them, in the formula, B represents the total coal consumption, and Q i+1 represents the load of each unit, and B i+1 represents the coal consumption of the corresponding unit. When calculating, after converting the unit according to the actual production, the total coal consumption is: 372.60×15×10000 + 361.60×15×10000 + 359.60×15×10000 + 341.70×25×10000 = 249495000 g.
[0063] The consumption price of coal is: 249495000×0.00055 = 137222.25 yuan.
[0064] The cost of carbon dioxide quota is: 〔(1.1×15 + 1.2×15 + 1.4×15 + 1.3×25) - 70×0.78〕×0.75 = 25.05 yuan.
[0065] Therefore, the lowest coal consumption cost is: 137222.25 - 25.05 = 137197.2 yuan.
[0066] The above distribution method mainly collects and stores indicators such as coal consumption, ammonia consumption, fly ash, and carbon production of each unit at different load stages during operation under various coal quality conditions according to the equipment status and performance characteristics of each unit. When receiving the AGC instruction of the plant-wide load, under the condition of meeting the requirements of the total load instruction, through the operation logic designed by the system based on the performance indicators stored in each unit, the most economical operation interval of a certain performance indicator required by the enterprise is obtained, so as to perform unit load distribution. Compared with the existing direct distribution, the distribution method provided by the present invention can quickly perform load distribution, and can avoid the problem that the operating parameters required by the units of a thermal power plant are not in the economic index interval, resulting in high energy consumption of the whole plant's units.
[0067] Load economic distribution system for a thermal power generating unit, the distribution system includes:
[0068] Unit management module: Configured to collect and store the minimum load, maximum load parameters, whether the unit is operating, and whether the unit equipment is in a fault state parameter of each unit, as the parameter basis for optimal configuration.
[0069] Coal quality management module: Configured to collect and store various coal quality and price parameters of various coal qualities, as the parameter basis for optimal configuration.
[0070] Unit load management module: Configured to collect coal consumption, ammonia consumption, fly ash, and carbon dioxide production parameters under different loads of each unit, and allocate the coal consumption, ammonia consumption, fly ash, and carbon dioxide production parameters to different loads for storage, forming a configuration parameter database, and the configuration parameter database is used as the parameter basis for optimal configuration.
[0071] Production allocation calculation module: The production allocation calculation module is embedded with a load economic allocation model, configured to perform permutation and combination form comparison and optimization loop calculation on the data in the configuration parameter database, calculate the optimal values of the total coal consumption, total ammonia consumption, total fly ash, and total power generation cost of the unit under different total loads and different coal qualities respectively, and recommend the load parameters of each unit when the required parameters are in the optimal value state.
[0072] Specifically, the production allocation calculation module includes an optimal coal consumption calculation unit, an optimal ammonia consumption calculation unit, an optimal fly ash calculation unit, and an optimal power generation cost calculation unit.
[0073] The optimal coal consumption calculation unit: Configured to calculate the maximum coal consumption and minimum coal consumption of the unit according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and coal consumption parameters of each unit when the minimum coal consumption occurs.
[0074] Taking four units A, B, C, and D as an example, taking the total load parameter of 700MW of the plant-level AGC instruction issued by the input power grid dispatching as an example, selecting 3500 coal quality, after the system operation, the data output shows that the total minimum coal consumption of the unit is 249,260,000g, and the load recommended for the minimum coal consumption plan is: Unit A load 150MW, coal consumption 372.60g / kW·h; Unit B load 150MW, coal consumption 361.60g / kW·h; Unit C load 170MW, coal consumption 357.60g / kW·h; Unit D load 230MW, coal consumption 340.60g / kW·h.
[0075] The minimum coal consumption is: 372.60×15×10000 + 361.60×15×10000 + 357.60×17×10000 + 340.60×23×10000 = 249,260,000g.
[0076] According to the load recommendation of the minimum coal consumption plan, under the premise of meeting the minimum coal consumption, complete the allocation of the total load parameter of 700MW of the AGC instruction, and allocate 700MW to the four units A, B, C, and D.
[0077] The optimal ammonia consumption calculation unit: configured to calculate the maximum ammonia consumption and the minimum ammonia consumption based on the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and ammonia consumption parameters for each unit operation at the minimum ammonia consumption.
[0078] Taking four units A, B, C, and D as an example, taking the total load parameter of 700MW of the plant-level AGC instruction issued by the input power grid dispatching as an example, selecting coal quality of 3500, after the system operation, the data output shows that the total minimum ammonia consumption of the unit is 275.35 Kg, and the recommended load for the minimum ammonia consumption plan is: Unit A load 150MW, ammonia consumption 4.50 Kg / 10,000 kW·h; Unit B load 150MW, ammonia consumption 4.86 Kg / 10,000 kW·h; Unit C load 150MW, ammonia consumption 3.63 Kg / 10,000 kW·h; Unit D load 250MW, ammonia consumption 3.22 Kg / 10,000 kW·h.
[0079] The calculation of the minimum ammonia consumption of the four units is: 15*4.5 + 15*4.86 + 15*3.63 + 25*3.22 = 275.35 Kg.
[0080] According to the recommended load of the minimum ammonia consumption plan, under the premise of meeting the minimum ammonia consumption, complete the distribution of the total load parameter of 700MW of the AGC instruction, and distribute 700MW to the four units A, B, C, and D.
[0081] The optimal fly ash calculation unit: configured to calculate the maximum fly ash and the minimum fly ash based on the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and fly ash parameters for each unit operation at the minimum fly ash.
[0082] Taking four units A, B, C, and D as an example, taking the total load parameter of 700MW of the plant-level AGC instruction issued by the input power grid dispatching as an example, selecting coal quality of 3500, after the system operation, the data output shows that the total minimum fly ash of the unit is 4608.85%, the maximum fly ash is 4861.54%, and the recommended load for the minimum fly ash plan is: Unit A load 150MW, fly ash 6.60%; Unit B load 150MW, fly ash 6.54%; Unit C load 199MW, fly ash 6.67%; Unit D load 201MW, fly ash 6.52%.
[0083] According to the recommended load of the minimum fly ash plan, under the premise of meeting the minimum fly ash, complete the distribution of the total load parameter of 700MW of the AGC instruction, and distribute 700MW to the four units A, B, C, and D.
[0084] The minimum total fly ash of the four units is calculated as: 150 * 6.6% + 150 * 6.54% + 199 * 6.67% + 201 * 6.52% = 46.0885%.
[0085] The optimal power generation cost calculation unit: is configured to calculate the optimal power generation cost based on the input coal quality type parameters, the total load number of the plant-level AGC instruction issued by the power dispatching center, the output of carbon dioxide, and the unit price of carbon dioxide, and recommend the operating load number parameters, coal consumption parameters, and carbon dioxide generation amount of each unit when calculating the optimal power generation cost.
[0086] Specifically, the distribution system further includes a data display module, and the data display module: is configured to display the number of units, the number of single operation combinations of the production distribution calculation module for comparing and optimizing the loop calculation of the data in the configuration parameter database in a permutation and combination form, the number of system users, and the coal consumption, ammonia consumption, fly ash, and carbon dioxide production curve graphs of different coal qualities.
[0087] Specifically, the unit management module: is configured to modify the name of each unit, the minimum load of each unit, the maximum load, the operating status of the unit, and the fault status parameters of the equipment.
[0088] The coal quality management module: is configured to add or delete various coal qualities and the price parameters of various coal qualities.
[0089] The unit load management module: is configured to modify the coal consumption, ammonia consumption, fly ash, and carbon dioxide production parameters under different loads of each unit.
[0090] Specifically, for the load economic distribution system of thermal power generating units, the operating hardware environment is 12th generation i5 - 12400 8G 256G SSD WiFi Win10. The software development tool php uses phpstorm, and the web page uses hbulider. The operating system of this software is the win10 system, and the software operation support environment is the phpstudy integrated environment. The programming languages are php, JavaScript, html, and MySQL. The source program volume is 100,000 words.
[0091] The load economic distribution system of thermal power generating units adopts front-end and back-end separation and uses the computer language PHP most suitable for web development. The background provides request data services to the front-end for data display through interface and security Token verification. Front-end and back-end separation can reduce unnecessary data interaction and achieve the effect of partial refreshing.
[0092] The web page design of the system includes: home page, basic configuration, production formula calculation, and system management.
[0093] Such as Figure 1As shown, the data display module is included in the home page. The unit management module, coal quality management module, and unit load management module are included in the basic configuration. The production allocation calculation module is included in the production formula calculation. The system management section is provided with user management, role management, and menu management.
[0094] The user management section can add, delete, modify, and query users in the system. Specific roles can be assigned to users, and authorized users can operate specific menu functions. Added users can log in to the system by themselves to modify their passwords.
[0095] In this embodiment, taking four units A, B, C, and D as examples, the operation rules of the system are described as follows:
[0096] (1) Conditional combination configuration is performed on three standards in the basic configuration. The three standards are coal quality configuration, unit configuration, and unit load configuration. Among them, the coal quality configuration includes coal quality name and price. The unit configuration includes unit load range and whether the unit is shutdown. The unit load configuration includes various energy consumption parameters at the corresponding load. The energy consumption parameters include coal consumption, ammonia consumption, fly ash, and carbon dioxide production. After performing conditional combination configuration on the three standards, a database is formed.
[0097] For example, when configuring coal quality, the types of coal quality are configured as 3500, 3600, 3700, 3800, 3900, 4000, 4100, and 4200, and the corresponding coal quality prices are configured as 550.00 yuan / ton, 580.00 yuan / ton, 630.00 yuan / ton, 660.00 yuan / ton, 690.00 yuan / ton, 720.00 yuan / ton, 740.00 yuan / ton, and 750.00 yuan / ton.
[0098] For example, when configuring the unit, the minimum load of unit A is configured as 150MW, the maximum load is configured as 300MW, and the unit failure status is configured as normal; the minimum load of unit B is configured as 150MW, the maximum load is configured as 300MW, and the unit failure status is configured as normal; the minimum load of unit C is configured as 150MW, the maximum load is configured as 300MW, and the unit failure status is configured as normal; the minimum load of unit D is configured as 150MW, the maximum load is configured as 300MW, and the unit failure status is configured as normal. The information of the minimum load value, maximum load value, and unit failure status of each unit can be modified.
[0099] When configuring the unit load: for example, when configuring a total load of 750 MW, after combining each unit, unit A has 150 load types, such as 150 MW, 151 MW, 152 MW, etc., unit B has 150 load types, such as 150 MW, 151 MW, 152 MW, etc., unit C has 150 load types, such as 150 MW, 151 MW, 152 MW, etc., unit D has 150 load types, such as 150 MW, 151 MW, 152 MW, etc., and finally the number of combined permutations is 150 * 150 * 150 * 150 combinations. Among them, the total load of 750 MW is equal to or less than the total load of the four units A, B, C, and D.
[0100] Configure different coal qualities and other energy consumption parameters for the 150 load types of unit A. For example, the types of coal quality configured for unit A are 4200: when the load configured for unit A is 150 MW, the coal consumption is 372.00 g / kW·h, the ammonia consumption is configured as 4.45 Kg / 10,000 kW·h, the fly ash is configured as 6.50%, and the carbon dioxide generation is configured as 1.1 Kg / 10,000 kW·h; when the load configured for unit A is 160 MW, the coal consumption is 371.00 g / kW·h, the ammonia consumption is configured as 4.56 Kg / 10,000 kW·h, the fly ash is configured as 6.70%, and the carbon dioxide generation is configured as 1.3 Kg / 10,000 kW·h; when the load configured for unit A is 170 MW, the coal consumption is 370.00 g / kW·h, the ammonia consumption is configured as 4.94 Kg / 10,000 kW·h, the fly ash is configured as 6.90%, and the carbon dioxide generation is configured as 1.4 Kg / 10,000 kW·h, etc. Refer to the above configuration to complete the data configuration of all 150 load types of unit A in the case of coal quality 4200, and at the same time refer to the above configuration to complete the data configuration of various 150 load types of units B, C, and D in the case of coal quality 4200.
[0101] Refer to the above configuration situation and complete the unit configuration for different total loads according to the different total loads in the central plant-level AGC instructions issued by the input power grid dispatch.
[0102] (2) After having the data of each detailed load, optimization can be carried out during calculation, saving calculation time, removing useless steps, and extracting and calculating useful data. Calculate the coal consumption under various combined load values through various combined permutation methods, and then compare them one by one to obtain the maximum and minimum coal consumption values of the unit under various combined load values. During the calculation process, store the optimal data at the same time, and wait for the data output after all permutation calculations are completed.
[0103] When the system calculates, it verifies the combination of the loads of units A, B, C, and D by using the performance parameter values under various load conditions of the input units A, B, C, and D. Through calculation and verification, the optimal values of parameters such as the coal consumption, ammonia consumption, fly ash, and power generation cost of the units are calculated respectively from 150*150*150*150 combinations.
[0104] Taking units A, B, C, and D as examples above, it shows that under the condition of meeting the total load of the central plant-level AGC instruction issued by the grid dispatching, the system can allocate the unit loads according to the corresponding coal quality, and at the same time allocate the parameters that the units need to operate, so that the parameters required by the units operate in the most economical load range.
[0105] Specifically, the data display module is used to display the number of units, the number of single-operation combinations obtained by the production allocation calculation module through permutation and combination comparison and optimization loop calculation of the data in the configuration parameter database, the number of system users, and the curve graphs of the coal consumption, ammonia consumption, fly ash, and carbon dioxide production of different coal qualities.
[0106] Specifically, on the basis of 1% - 5% of the optimal value of the operating parameters, the load distribution parameters are selected accordingly.
[0107] For example, in this embodiment, taking units A, B, C, and D as examples, taking the total load parameter of 700MW of the central plant-level AGC instruction issued by the input grid dispatching as an example, and selecting coal quality 3500, when the optimal coal consumption of the four units is 249,495,000g, then 249,495,000*(1 + 5%)g = 261,969,750g. The loads within the range of 249,495,000g - 261,969,750g of the coal consumption of the four units can be selected. The loads within the range of 249,495,000g - 261,969,750g are allocated to the four units, so that under the condition of meeting the total load, the coal consumption is in a more economical state when the load is allocated.
[0108] In addition, among the loads within the range of 249,495,000 - 261,969,750g of the coal consumption, there are loads that can make the ammonia consumption of the four units in a more economical state. The loads in a more economical state of both coal consumption and ammonia consumption can be determined within this range, avoiding the state where both the coal consumption and ammonia consumption are at relatively large values, and reducing the unit energy consumption to a certain extent.
[0109] For another example, in this embodiment, taking four units A, B, C, and D as an example, when the optimal ammonia consumption of the four units is 275.35 Kg, 275.35 Kg * (1 + 5%) Kg = 289.1175 Kg. The load within the range of 275.35 Kg to 289.1175 Kg of ammonia consumption for the four units can be selected. The load within the range of 275.35 Kg to 289.1175 Kg is distributed to the four units, so that under the condition of meeting the total load, the ammonia consumption is in a more economical state when distributing the load.
[0110] In addition, there is a load within the range of 275.35 Kg to 289.1175 Kg of ammonia consumption that can make the coal consumption of the four units in a more economical state. The load with both coal consumption and ammonia consumption in a more economical state can be determined within this range, avoiding the state where both coal consumption and ammonia consumption are at relatively large values, and reducing the energy consumption of the unit to a certain extent.
[0111] Among them, the load distribution of fly ash and power generation cost of the four units A, B, C, and D is determined accordingly with reference to the above-mentioned method, which can make the overall energy consumption of the unit in a more economical state.
[0112] Figure 2 It is the ammonia consumption trend chart of the unit under the coal quality of 3500 provided by the embodiment of this solution. As Figure 2 shown, taking the four units A, B, C, and D as an example, in the distribution system provided by this solution, the total load parameter of the central plant-level AGC instruction issued by the power grid dispatching is input as 700 MW, and the coal quality of 3500 is selected. The distribution system will display the ammonia consumption trend chart of the unit under the coal quality of 3500, which is convenient for operators to analyze in real time. For different coal qualities configured, when a certain coal quality is selected in the system, the ammonia consumption trend chart will also be updated synchronously. The curve charts of coal consumption, carbon dioxide production, and fly ash generated corresponding to the four units A, B, C, and D are displayed with reference to the description of the ammonia consumption trend chart.
[0113] Taking the four units A, B, C, and D as an example, the data display module also shows that the number of units is 4 and the number of production combinations is 400,000, which is convenient for operators to view.
[0114] This embodiment also provides a device for economically distributing the load of a thermal power generating unit. The distribution device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned method for economically distributing the load of a thermal power generating unit are implemented.
[0115] This embodiment also provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the above-mentioned method are implemented.
[0116] In summary, this embodiment provides a method, a system, a device and a storage medium for economic load distribution of a thermal power generating unit. Specifically, according to the equipment conditions and performance characteristics of each unit, indexes such as coal consumption, ammonia consumption, fly ash and carbon production of each unit during operation at different load stages under various coal quality conditions are collected and stored. When the AGC instruction of the plant-wide load is received, and under the condition of meeting the requirements of the total load instruction, through the operation logic designed by the system for the performance indexes stored in each unit, combined calculations are carried out to obtain the most economical operation interval of a certain performance index required by the enterprise, so as to carry out unit load distribution, avoiding the problem that the units of the thermal power plant operate outside the most economical index interval, resulting in high energy consumption of the whole plant's units.
[0117] The above are only embodiments of the present invention. Specific structures and common knowledge such as characteristics well known in the art are not described in detail herein. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application shall be subject to the content of its claims, and the specific implementation manners and the like recorded in the specification can be used to interpret the content of the claims.
Claims
1. A method for economic load distribution of a thermal power generating unit, characterized in that, It includes the following steps: Step 1: Obtain the real-time operation parameter data of each unit in the thermal power plant, and configure the obtained real-time operation parameter data of each unit into the database; Step 2: The load economic distribution model of a preset number of parameter indicators compares the data in the database through permutation and combination, calculates the optimal values of each parameter indicator of the unit through an optimization loop, and outputs the load parameters of each unit when each parameter indicator is in the optimal value state; Step 3: Regulate the load of each unit according to the output load parameters of each unit, so that the required parameters of each unit operate in the most economical load range.
2. The method for economically allocating the load of a thermal power generating unit according to claim 1, wherein: The real-time operation parameter data of the unit includes: the minimum load and maximum load of each unit, various coal qualities and the prices of various coal qualities, the coal consumption, ammonia consumption, fly ash, and carbon dioxide production of each unit under various load and various coal quality conditions.
3. The method for economically distributing the load of a thermal power generating unit according to claim 2, wherein: The load economic distribution model includes: total coal consumption model, total ammonia consumption model, total fly ash model, total power generation cost model.
4. The method for economically distributing the load of a thermal power generating unit according to claim 3, characterized in that: The total coal consumption model is expressed as: B = Σ i=0 Q i+1 *B i+1 , where Q i+1 represents the load of each unit, and B i+1 represents the coal consumption of the corresponding unit. The total ammonia consumption model is expressed as: A 总 = Σ i=0 Q i+1 *A i+1 , where A i+1 represents the ammonia consumption of the corresponding unit; The total fly ash model is expressed as: Aad 总 = Σ i=0 Q i+1 * Aad i+1 , where Aad i+1 represents the fly ash of the corresponding unit; The total power generation cost model is expressed as: K = K cer + K B * B, where K cer represents the carbon dioxide quota cost, and K B represents the coal quality price. The carbon dioxide quota cost is expressed as: K cer = [(Σ i=0 Q i+1 * H i+1 ) - (Σ i=0 Q i+1 * F cer )] * K H ; Where, H i+1 represents the CO2 output of the corresponding unit, K H represents the unit price of CO2, F cer represents the carbon emission index per 10,000 kWh of power generation under the enterprise's carbon quota.
5. Load economic distribution system for thermal power generating units, characterized in that: It includes: Unit management module: Configured to collect the minimum load, maximum load parameters of each unit, and whether the unit is operating and whether the unit equipment is in a fault state parameter and store them as the parameter basis for use in the optimal configuration; Coal quality management module: Configured to collect various coal qualities and the price parameters of various coal qualities and store them as the parameter basis for use in the optimal configuration; Unit load management module: Configured to collect the coal consumption, ammonia consumption, fly ash, and carbon dioxide production parameters of each unit under different loads, and distribute the coal consumption, ammonia consumption, fly ash, and carbon dioxide production parameters to each different load for storage to form a configuration parameter database, and the configuration parameter database is used as the parameter basis for the optimal configuration; Production distribution calculation module: The production distribution calculation module is embedded with a load economic distribution model, configured to compare and optimize the loop calculation of the data in the configuration parameter database in the form of permutation and combination, calculate the optimal values of the total coal consumption, total ammonia consumption, total fly ash, and total power generation cost of the unit under different total loads and different coal qualities respectively, and recommend the load parameters of each unit when the required parameters are in the optimal value state.
6. The load economic distribution system for a thermal power generating unit according to claim 5, characterized in that: The production distribution calculation module includes an optimal coal consumption calculation unit, an optimal ammonia consumption calculation unit, an optimal fly ash calculation unit, and an optimal power generation cost calculation unit; The optimal coal consumption calculation unit: Configured to calculate the maximum coal consumption and minimum coal consumption of the unit according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and coal consumption parameters of each unit when the minimum coal consumption; The optimal ammonia consumption calculation unit: Configured to calculate the maximum ammonia consumption and minimum ammonia consumption according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and ammonia consumption parameters of each unit when the minimum ammonia consumption; The optimal fly ash calculation unit: configured to calculate the highest fly ash and the lowest fly ash according to the input coal quality type parameters and the total load number of the plant-level AGC instruction issued by the power dispatching center, and recommend the load number parameters and fly ash parameters for each unit operation at the lowest fly ash; The optimal power generation cost calculation unit: configured to calculate the optimal power generation cost according to the input coal quality type parameters, the total load number of the plant-level AGC instruction issued by the power dispatching center, the output of carbon dioxide and the unit price of carbon dioxide, and recommend the load number parameters, coal consumption parameters and carbon dioxide generation amount for each unit operation at the optimal power generation cost.
7. A load economic distribution device for a thermal power generating unit, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the load economic distribution method for a thermal power generating unit according to any one of claims 1-6 are implemented.
8. Storage medium, characterized in that: A computer program is stored on the storage medium, and when the program is executed by the processor, the steps of the method according to any one of claims 1-6 are implemented.