A pressure regulation system and method for multi-generator gas pipeline network based on operations research optimization

Abstract

The present invention discloses a multi-generator gas network pressure regulation system and method based on operations optimization, based on the acquired influence relationship between the pressure change and time of each vent tower of the power plant; and based on the acquired pressure influence function on the pressure of each vent tower after adjusting the different gas usage of each power plant; constructing the objective function and setting the constraint conditions, finding the optimal gas consumption allocation structure that maximizes the objective function, outputting the average gas adjustment amount per minute of each power plant and the required adjustment time optimization results; a power generation suggestion generator, reading the optimization results, and generating specific adjustment suggestions for each power plant based on the read optimization results, to realize intelligent automatic adjustment of the gas network pressure. It is intended to solve the pressure balance problem between multiple vent pressure measurement points and generator sets in a complex gas network system.

Description

Technical Field

[0001] The present application relates to the technical field of gas power generation network pressure regulation, and in particular to a multi-generator unit gas network pressure regulation system and method based on operations optimization. Background Art

[0002] In a complex gas pipe network system, there are multiple pressure relief measurement points that need to be observed, and there are also multiple generator sets to balance the pipe network pressure. The pressure changes at different locations are different.

[0003] Multiple pressure relief measuring points and generators need to work in coordination to keep the pipe network pressure within a reasonable range. Existing technologies mainly rely on manual adjustments, which makes it difficult to achieve rapid and optimal adjustments 24 hours a day. Summary of the invention

[0004] The purpose of this application is to provide a multi-generator set gas pipeline network pressure regulation system and method based on operations optimization, aiming to solve the pressure balance problem between multiple release pressure measurement points and generator sets in a complex gas pipeline network system.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] A method for regulating the pressure of a gas pipeline network of multiple generator sets based on operations optimization, characterized by comprising the following steps:

[0007] Collect the number of vent towers and power plants in the gas network, as well as their basic information;

[0008] Obtain the influence relationship between the pressure change and time of each vent tower of the power plant; obtain the pressure influence function of each vent tower pressure after adjusting the different gas usage of each power plant;

[0009] Design constraints for any discharge tower and power plant, including the pressure range constraint of the discharge tower, the regulation amount of each generator set, the regulation time constraint, and the synchronous regulation mechanism to ensure that the regulation amount of the generator set to different discharge towers changes simultaneously at a fixed ratio;

[0010] Establish an operations optimization objective function, accumulate the product of the regulation amount and power generation efficiency of each power plant, maximize the cumulative sum so that the units with high efficiency consume more gas during the regulation process;

[0011] Solve the objective function, find the optimal gas consumption allocation structure that maximizes the objective function, and output the average gas adjustment amount per minute and the required adjustment time optimization results for each power plant;

[0012] Based on the read optimization results, specific adjustment suggestions are generated for each power plant to achieve intelligent and automatic adjustment of the gas pipeline network pressure.

[0013] In the above technical solution, the basic information of the discharge tower and the power plant includes: the maximum regulation speed and power generation efficiency of the power plant, and the pressure limit range parameters of each discharge tower.

[0014] In the above technical solution, the maximum regulation speed and power generation efficiency of the power plant are determined according to the power generation equipment conditions, ensuring that the gas volume regulation speed of any power plant is between the minimum and maximum gas volume adjustable speeds.

[0015] In the above technical solution, the pressure limit range of each release tower is obtained to ensure that the current pressure of any release tower is within the maximum and minimum pressure limit values ​​of the tower.

[0016] In the above technical scheme, the design constraints for any venting tower and power plant include at least: for any venting tower, the pressure after the set adjustment time must be maintained within a preset range; based on the pressure influence function, the pressure of the venting tower of the power plant after the set adjustment time is determined according to the adjustment amount and adjustment time of the power plant gas; all venting towers need to meet the pressure requirements at the same time.

[0017] In the above technical solution, the design constraints for any discharge tower and power plant include at least: constructing an influence model of the same power plant on different discharge tower pressures, so that the adjustment of the discharge tower pressure needs to be carried out within the pressure influence range of each power plant.

[0018] In the above technical solution, the design constraints for any discharge tower and power plant include at least: constraining the power plant to adjust the upper limit of gas usage, so that after the set adjustment time, the adjusted gas consumption of the power plant needs to meet the upper limit of gas usage adjusted by the power plant.

[0019] In the above technical solution, the design constraints for any discharge tower and power plant at least include: setting the set adjustment time of each power plant to be less than the set adjustment time of the discharge tower.

[0020] In the above technical scheme, the operations optimization objective function is solved; the variables are initialized according to the current pressure state of the system, the power generation efficiency of the generator set and the gas consumption limit; the gradient descent method, the interior point method, or other common optimization algorithms are used to iteratively solve according to the objective function and the constraints, and the solution is terminated when the optimal gas consumption distribution that maximizes the objective function is found.

[0021] In the above technical solution, after reading the optimization results of the average gas adjustment amount per minute of each power plant and the required adjustment time calculated by the operations optimization objective function, specific adjustment suggestions for each power plant are generated based on the read optimization results; the suggestions include the average gas adjustment amount per minute of each power plant and the corresponding adjustment time.

[0022] In the above technical solution, after generating the power generation adjustment suggestions, the system will automatically distribute the suggestions of each power plant to the corresponding control terminal. Each power plant will perform operations according to the gas consumption and adjustment time in the suggestions to ensure that the actual adjustment process meets the requirements of the optimization results; at the same time, the system will monitor the execution progress of the power plant in real time to ensure that each power plant performs the adjustment tasks on time and accurately.

[0023] In the above technical solution, the system can also make corresponding adjustments and corrections based on actual operation feedback.

[0024] In the above technical solution, the adjustment of tower A and tower B by the generator set is synchronous, that is, when a generator set is started, the adjustment amount of tower A and tower B by the generator set will change simultaneously according to a fixed ratio.

[0025] Each generator set may have different regulating capabilities for tower A and tower B, but the two are adjusted synchronously during regulation. Avoiding uncoordinated operation of the system is not mentioned in other solutions.

[0026] A multi-generator gas network pressure regulation system based on operations optimization, characterized by comprising:

[0027] Operational optimization model, based on the relationship between the pressure change and time of each vent tower of the power plant; and based on the pressure influence function of each vent tower pressure after adjusting the different gas usage of each power plant; constructing the objective function and setting constraints to minimize the use of inefficient generator sets and control the vent tower pressure within a reasonable range;

[0028] The optimization algorithm solver is used to solve the operations optimization model, find the optimal gas consumption allocation structure that maximizes the objective function, and output the average gas adjustment amount per minute of each power plant and the required adjustment time optimization results;

[0029] The power generation suggestion generator reads the optimization results and generates specific adjustment suggestions for each power plant based on the read optimization results, realizing intelligent and automatic adjustment of the gas pipeline network pressure.

[0030] In the above technical solution, the constraints include the pressure range constraint of the discharge tower, the adjustment amount and adjustment time constraint of each generator set; and a synchronous adjustment mechanism to ensure that the adjustment amount of the generator set for different discharge towers changes simultaneously at a fixed ratio.

[0031] Compared with the prior art, the present invention aims to solve the pressure balance problem between multiple pressure relief measuring points and generator sets in a complex gas pipe network system. It has the following beneficial effects:

[0032] By automatically generating power generation adjustment suggestions, it ensures that the power plant can be accurately dispatched according to the optimization results. This method improves power generation efficiency while reducing system resource consumption, and realizes intelligent power generation dispatching and pressure regulation.

[0033] The design of the operational optimization model of the present invention includes the setting of objective functions and constraints to minimize the use of inefficient generator sets and control the pressure of the discharge tower within a reasonable range. The globally available generator sets are coordinated to reduce the amount of invalid regulation.

[0034] Secondly, the present invention uses quantitative means to confirm the optimal adjustment amount of each generator set to achieve the purpose of controlling pressure.

[0035] Finally, the synchronization of pressure regulation in the present invention protects the synchronous regulation mechanism of each generator set on tower A and tower B, so that the regulation of tower A and tower B by the generator set changes synchronously in a certain proportion, avoiding uncoordinated operation of the system, which is not mentioned in other schemes. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 : A schematic diagram of a complex pipe network structure of one embodiment of the present invention (not limited to the number in the figure, only reflects the complexity, showing the layout of the gas pipe network system, the venting tower and the power plant, and the connection relationship between them)

[0038] Figure 2 : Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0040] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0041] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0042] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, or the positions or positional relationships in which the product of the application is usually placed when in use. They are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second", "third", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0043] In addition, the terms "horizontal", "vertical", "overhanging" and the like do not mean that the components are required to be absolutely horizontal or overhanging, but can be slightly tilted. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but can be slightly tilted.

[0044] In the description of this application, it should also be noted that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0045] In the present application, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may include that the first and second features are in direct contact, or may include that the first and second features are not in direct contact but are in contact through another feature between them. Moreover, a first feature being "above", "above" and "above" a second feature includes that the first feature is directly above and obliquely above the second feature, or simply indicates that the first feature is higher in level than the second feature. A first feature being "below", "below" and "below" a second feature includes that the first feature is directly below and obliquely below the second feature, or simply indicates that the first feature is lower in level than the second feature.

[0046] The features and performance of the present application are further described in detail below in conjunction with the embodiments.

[0047] Example 1

[0048] like Figure 1 and Figure 2 According to the multi-generator gas network pressure regulation system and method based on operations optimization implemented by the present invention, the implementation is as follows:

[0049] 1. As Figure 1 As shown, the basic information of the blast furnace gas pipe network system, including the venting tower and power plant, is clearly shown. The basic information includes the following:

[0050] (1) Based on Figure 1 The pipe network diagram is used to obtain basic information such as the number of discharge towers and power plants. A release tower, A power plant.

[0051] (2) According to the power generation equipment conditions, the maximum regulation speed and power generation efficiency of the power plant should be determined. The power generation efficiency of the power plant is , current gas usage per minute The maximum gas usage per minute of the power plant is , use the gas volume to adjust the speed to 1000 The maximum gas consumption can be adjusted at a speed of The relationship they need to satisfy is .

[0052] Different power plants use different equipment, so their power generation efficiency varies. For a power plant, its power generation efficiency is affected by the amount of gas used at that time, and the relationship function is The power generation efficiency is a positive number, which means the amount of electricity that can be generated by consuming 1 cubic meter of gas, so the larger the value, the better.

[0053] (3) According to the factory regulations, the pressure limit range of each vent tower is obtained and recorded. The current pressure of the vent tower is , which needs to be met .

[0054] 2. Obtain pressure change data and impact relationship

[0055] (1) Calculate the first A release tower for the future The average pressure rise per minute is recorded as .

[0056] (2) Based on historical data, calculate the impact of adjusting the gas usage of each power plant on the pressure of each vent tower. Power plants adjust gas usage After the first The pressure influence function of the discharge tower is: .

[0057] 3. Design constraints

[0058] (1) For any tower, its future The minute pressure must remain within the pre-set range.

[0059] In the current situation, Minutes later, The pressure of the discharge tower is , No. The regulation amount of the power plant at this time is , then it can be used for The pressure of the vent tower is affected by the minute value , remember the first The adjustment time of the power plant is , need to meet .So Minutes later The pressure of the discharge tower is According to the factory safety regulations, The reasonable pressure range of a discharge tower is , so the The tower needs to meet Since the vent tower pressure is a safety indicator, all Each discharge tower needs to meet the pressure requirements at the same time, that is, .

[0060] (2) Upper limit of pressure speed for power plant regulation

[0061] Since the pipeline network systems are interconnected, adjusting the gas usage of a power plant will affect the pressure of all vent towers in the pipeline network. Because different vent towers are at different distances from the same power plant, the impact of power plant regulation on the pressure of different vent towers is different. Therefore, this patent combines past real data to construct a model of the impact of the same power plant on different vent tower pressures. There is a physical upper limit to the regulation speed of a power plant, so there is also an upper limit to the impact on the vent tower pressure. The regulation of the vent tower pressure needs to be carried out within the pressure influence range of each power plant. That is, it needs to satisfy .

[0062] (3) Power plants adjust the upper limit of gas usage

[0063] The gas consumption of the power plant has a rated value, which needs to be constrained here to limit the adjustable range of the power plant. The regulation time of the power plant is , the adjusted gas consumption needs to meet , all power plants need to meet this condition, that is .

[0064] (4) Time for power plant regulation

[0065] Each power plant is controlled individually, so the amount of gas used for power generation can be adjusted asynchronously. The regulation time of a power plant is All power plants need to meet the requirement of regulating power generation time shorter than ,Right now .

[0066] 4. Establish the objective function and calculate the optimal solution

[0067] 4.1 Establishing the objective function

[0068] (1) Calculate the average efficiency of each power plant during the regulation period

[0069] Record The time for a power plant to adjust its power generation is The average power generation efficiency during this period is ;

[0070] (2) Establishing the objective function

[0071] The goal of this system is to give priority to adjusting power plants with high power generation efficiency under given gas consumption, thereby maximizing the power generation of high-efficiency units. For the The regulation of a power plant, is the average power generation efficiency of the power plant.

[0072] The objective function is:

[0073] ;

[0074] Design ideas:

[0075] Power generation efficiency is a weight used to measure whether the unit's gas consumption is effective. The more efficient the unit (i.e. The larger the gas used, the more significant the power generation and regulation effect it can produce per unit of gas used. Therefore, in the optimization process, giving priority to mobilizing units with high efficiency can reduce gas consumption and also complete pressure regulation faster and more economically.

[0076] By maximizing The objective function ensures that the units with high efficiency will consume more gas during the regulation process. The larger the value, the more gas consumption will be increased. The higher the benefit (i.e., regulation effect) generated, the more gas will be allocated to the units with high efficiency during the optimization process.

[0077] The design of this objective function can also well balance the gas consumption among various units. More gas is allocated to high-efficiency units, while low-efficiency units are relatively suppressed, thus avoiding inefficient use of gas resources. Through this design, the best power generation and regulation effects can be achieved under the condition of a certain gas consumption of the entire system.

[0078] Effect:

[0079] High-efficiency units take on more tasks during the regulation process, and low-efficiency units are only mobilized when necessary. This makes the gas consumption of the entire system more economical under the same regulation task, thereby achieving the following goals:

[0080] 1) Save gas: reduce gas waste from inefficient units.

[0081] 2) Improve efficiency: Make better use of the power generation potential of high-efficiency units.

[0082] 3) Achieve more economical regulation: Under the premise of meeting the pressure regulation requirements, achieve overall economic optimization.

[0083] 4.2 Solving the objective function

[0084] The present invention solves the optimization problem defined by the objective function and the constraints by using an optimization algorithm. Specifically, existing optimization algorithm tools, such as linear programming (LP) or nonlinear programming (NLP), can be used to select a suitable solution method according to the specific objective function form.

[0085] (1) Initialize variables

[0086] Initialize various variables according to the current pressure state of the system, the power generation efficiency of the generator set, and the limit of gas consumption.

[0087] (2) Solving the objective function

[0088] Use gradient descent method, interior point method, or other common optimization algorithms to iterate and solve according to the objective function and constraints until the optimal solution is found.

[0089] (3) Termination conditions

[0090] When the algorithm converges, that is, when the optimal gas consumption allocation that maximizes the objective function is found, the solution is terminated. Output the average gas adjustment per minute for each power plant and the required adjustment time .

[0091] 5. Generate power generation suggestions

[0092] (1) Read optimization results

[0093] Read the average gas adjustment per minute for each power plant calculated by the model and the required adjustment time The optimization results of each power plant reflect its optimal gas usage plan during the regulation process, ensuring that both the optimization of power generation efficiency and the requirements of system pressure regulation are met.

[0094] (2) Generate power plant adjustment suggestions

[0095] The system generates specific adjustment recommendations for each power plant based on the optimization results read in. The recommendations include the average gas adjustment per minute for each power plant. and the corresponding adjustment time For example, power plants The suggestion is to Within minutes, adjust every minute Unit gas to ensure the best power generation efficiency and pressure regulation effect. The generated suggestions will record the adjustment operation steps of each power plant in detail to ensure the feasibility of the plan.

[0096] (3) Distribute power generation suggestions and execute them

[0097] After generating the power generation adjustment suggestions, the system will automatically distribute the suggestions of each power plant to the corresponding control terminal to ensure that each power plant can obtain the operation instructions in time. Each power plant will perform the operation according to the gas consumption and adjustment time in the suggestion to ensure that the actual adjustment process meets the requirements of the optimization result. At the same time, the system will monitor the execution progress of the power plant in real time to ensure that each power plant performs the adjustment task on time and accurately. According to the actual operation feedback, the system can also make corresponding adjustments and corrections.

[0098] The present invention automatically generates power generation adjustment suggestions to ensure that the power plant can be accurately dispatched according to the optimization results. This method improves power generation efficiency while reducing system resource consumption, and realizes intelligent power generation dispatching and pressure regulation.

[0099] Example 2

[0100] In the above technical solution, the adjustment of tower A and tower B by the generator set is synchronous, that is, when a generator set is started, the adjustment amount of tower A and tower B by the generator set will change simultaneously according to a fixed ratio.

[0101] Each generator set may have different regulating capabilities for tower A and tower B, but the two are adjusted synchronously during regulation. Avoiding uncoordinated operation of the system is not mentioned in other solutions.

[0102] Example 3

[0103] A multi-generator gas network pressure regulation system based on operations optimization, characterized by comprising:

[0104] Operational optimization model, based on the relationship between the pressure change and time of each vent tower of the power plant; and based on the pressure influence function of each vent tower pressure after adjusting the different gas usage of each power plant; constructing the objective function and setting constraints to minimize the use of inefficient generator sets and control the vent tower pressure within a reasonable range;

[0105] The optimization algorithm solver is used to solve the operations optimization model, find the optimal gas consumption allocation structure that maximizes the objective function, and output the average gas adjustment amount per minute of each power plant and the required adjustment time optimization results;

[0106] The power generation suggestion generator reads the optimization results and generates specific adjustment suggestions for each power plant based on the read optimization results, realizing intelligent and automatic adjustment of the gas pipeline network pressure.

[0107] In the above technical solution, the constraints include the pressure range constraint of the discharge tower, the adjustment amount and adjustment time constraint of each generator set; and a synchronous adjustment mechanism to ensure that the adjustment amount of the generator set for different discharge towers changes simultaneously at a fixed ratio.

[0108] The embodiments described above are part of the embodiments of the present application, rather than all of the embodiments. The detailed description of the embodiments of the present application is not intended to limit the scope of the present application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

Claims

1. A multi-power plant gas pipeline pressure regulation method based on operations optimization, characterized in that The steps include: Collect the number of vent towers and power plants in the gas network, as well as their basic information; Obtain the influence relationship between the pressure change and time of each vent tower of the power plant; obtain the pressure influence function of each vent tower pressure after adjusting the different gas usage of each power plant; Design constraints for any venting tower and power plant, including the pressure range constraint of the venting tower, the gas regulation amount of each power plant, the regulation time constraint, and the synchronous regulation mechanism, which is used to ensure that the regulation amount of different venting towers of the power plant changes simultaneously at a fixed ratio; the specific settings are: For any venting tower, the pressure after the set adjustment time must be kept within the preset range; based on the pressure influence function, according to the adjustment amount and adjustment time of the power plant gas, the pressure of the venting tower of the power plant after the set adjustment time is determined; all venting towers need to meet the pressure requirements at the same time; Construct a model for the impact of the same power plant on different discharge tower pressures, so that the adjustment of the discharge tower pressure needs to be carried out within the pressure influence range of each power plant; Constrain the power plant to adjust the upper limit of gas usage, so that after the power plant sets the adjustment time, the adjusted gas consumption needs to meet the upper limit of gas usage adjusted by the power plant; Set the adjustment time of each power plant to be less than the adjustment time of the discharge tower; Establish an operations optimization objective function, accumulate the product of the regulation amount and power generation efficiency of each power plant, maximize the cumulative sum so that the power plant with high efficiency consumes more gas during the regulation process; Solve the objective function, find the optimal gas consumption allocation structure that maximizes the objective function, and output the optimization results of the average gas adjustment amount per minute and the required adjustment time for each power plant.

2. The multi-power plant gas pipeline network pressure regulation method based on operations optimization according to claim 1 is characterized in that It also includes generating specific adjustment suggestions for each power plant based on the read optimization results, and realizing intelligent and automatic adjustment of the gas pipeline network pressure.

3. The multi-power plant gas pipeline network pressure regulation method based on operations optimization according to claim 1 is characterized in that The basic information of the discharge tower and power plant includes: the maximum regulation speed and power generation efficiency of the power plant, and the pressure limit range parameters of each discharge tower.

4. The multi-power plant gas network pressure regulation method based on operations optimization according to claim 1 is characterized in that The maximum regulation speed and power generation efficiency of the power plant shall be determined according to the power generation equipment conditions to ensure that the gas regulation speed of any power plant is between the minimum and maximum gas regulation speeds.

5. The multi-power plant gas network pressure regulation method based on operations optimization according to claim 1 is characterized in that Obtain the pressure limit range of each vent tower to ensure that the current pressure of any vent tower is within the maximum and minimum pressure limits of the tower.

6. A multi-power plant gas pipeline pressure regulation system based on operations optimization, characterized in that The method for regulating the pressure of a multi-power plant gas network based on operations optimization as claimed in claim 1 comprises: Operational optimization model, based on the relationship between the pressure change and time of each vent tower of the power plant; and based on the pressure influence function of each vent tower pressure after adjusting the different gas usage of each power plant; constructing the objective function and setting constraints to minimize the use of inefficient power plants and control the vent tower pressure within a reasonable range; The optimization algorithm solver is used to solve the operations optimization model, find the optimal gas consumption allocation structure that maximizes the objective function, and output the average gas adjustment amount per minute of each power plant and the required adjustment time optimization results; The power generation suggestion generator reads the optimization results and generates specific adjustment suggestions for each power plant based on the read optimization results, realizing intelligent and automatic adjustment of the gas pipeline network pressure.

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