Thermal power plant circulating water pump operation optimization method using multi-objective culture differential evolution algorithm, storage medium, equipment and computer program product

Abstract

The invention discloses a thermal power plant circulating water pump operation optimization method using a multi-objective culture differential evolution algorithm, a storage medium, equipment and a computer program product. Comprising the steps of collecting historical frequency converter instructions in the thermal power plant circulating water system, circulating water pump parameters under the corresponding frequency converter instructions and condenser vacuum degrees in the thermal power plant circulating water system, determining the normal use range of the frequency converter instructions, and establishing a comprehensive objective function; and in the application range of the frequency converter instruction, with the purpose of minimizing the comprehensive objective function, optimizing the frequency converter instruction by using a multi-objective culture differential evolution algorithm, determining the optimal frequency converter instruction, issuing the optimal frequency converter instruction to obtain the optimal circulating water pump parameter and the optimal condenser vacuum degree, and operating the thermal power plant circulating water pump. The power generation capacity of the thermal power plant is improved on the basis of reducing the energy consumption of the thermal power plant circulating water system, so that the energy consumption is reduced, and the power generation cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power plant circulating water pump operation optimization, and in particular to a thermal power plant circulating water pump operation optimization method, storage medium, equipment and computer program product using a multi-objective cultural differential evolution algorithm. Background Art

[0002] In a thermal power plant, the economic efficiency of the unit is not only affected by the main equipment such as the steam turbine, but also closely related to the performance of the auxiliary equipment. The circulating water pump is one of the main power-consuming equipment in the power plant, and its power consumption accounts for about 1% to 1.5% of the total power generation; in addition, the operating mode of the circulating water pump is interrelated with the exhaust pressure of the steam turbine, thus affecting the output power of the steam turbine. Therefore, studying and optimizing the operating mode of the circulating water pump is of great significance for reducing the self-use electricity consumption of thermal power plants and improving the overall economy.

[0003] At present, circulating water pumps in thermal power plants usually adopt a fixed speed working mode. No matter how the unit load changes, the number of circulating water pumps and the working speed remain constant; some thermal power plants adopt a circulating water pump rotation stop working mode according to the season or large load fluctuations. The circulating water pumps are in a non-optimal working condition for a long time, resulting in unnecessary energy consumption and water waste. Therefore, it is particularly important to develop efficient pump group control strategies and optimization algorithms for circulating water pumps in thermal power plants to meet the needs of different working conditions. Summary of the invention

[0004] In response to the problems existing in the prior art, the present invention provides a method, storage medium, equipment and computer program product for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm, which can increase the power generation of thermal power plants on the basis of reducing the energy consumption of the circulating water system of thermal power plants, thereby reducing energy consumption and reducing power generation costs.

[0005] To achieve the above technical objectives, the present invention adopts the following technical solution: a method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm, specifically comprising the following steps:

[0006] Step S1, collecting historical inverter instructions in the circulating water system of the thermal power plant, circulating water pump parameters under the corresponding inverter instructions, and condenser vacuum in the circulating water system of the thermal power plant, and determining the normal use range of the inverter instructions;

[0007] Step S2, establishing a comprehensive objective function based on the circulating water pump parameters and the condenser vacuum in the circulating water system of the thermal power plant;

[0008] Step S3: within the use range of the inverter instruction, with the goal of minimizing the comprehensive objective function, the inverter instruction is optimized using a multi-objective cultural differential evolution algorithm to determine the optimal inverter instruction;

[0009] Step S4: Send the optimal inverter instruction to obtain the optimal circulating water pump parameters and the optimal condenser vacuum, and operate the circulating water pump of the thermal power plant.

[0010] Furthermore, the circulating water pump parameters under each inverter instruction include: the water inlet flow of the circulating water pump, the efficiency of the circulating water pump, the motor operating voltage of the circulating water pump, the motor operating current of the circulating water pump, and the motor power factor of the circulating water pump.

[0011] Furthermore, the process of establishing the comprehensive objective function F in step S2 is:

[0012] F=ω1*f1+ω2*f2+ω3*(-V condenser )

[0013] Among them, f1 represents the total energy consumption of the circulating water system of the thermal power plant, f2 represents the power generation of the thermal power plant, V condenser represents the condenser vacuum degree, ω1 represents the weight coefficient of f1, ω2 represents the weight coefficient of f2, and ω3 represents V condenser The weight coefficient is ω1+ω2+ω3=1.

[0014] Furthermore, the total energy consumption f1 of the circulating water system of the thermal power plant is composed of the total energy consumption E pump Total energy consumption E of the motor of the circulating water pump motor composition:

[0015] f1=E pump +E motor

[0016] in, n represents the total number of circulating water pumps in the circulating water system of a thermal power plant, i represents the index of n, Q i represents the water inlet flow rate of the i-th circulating water pump, η i represents the efficiency of the ith circulating water pump, and t represents the working time of the ith circulating water pump under the corresponding inverter instruction; V i Represents the motor operating voltage of the i-th circulating water pump, I i represents the motor operating current of the i-th circulating water pump, cosφ i Represents the motor power factor of the i-th circulating water pump.

[0017] Furthermore, the power generation f2 of the thermal power plant is determined by the condenser vacuum degree:

[0018] f2=k(V condenser -V condenser_opt )

[0019] Among them, V condenserIndicates the vacuum degree of the condenser under the corresponding inverter instruction, V condenser_opt It represents the theoretical condenser vacuum under the corresponding inverter instruction, and k represents the condenser vacuum coefficient.

[0020] Furthermore, step S3 includes the following sub-steps:

[0021] Step S3.1, randomly initialize the inverter instructions within the use range of the inverter instructions as individuals of the multi-objective cultural differential evolution algorithm, and set the population size and maximum number of iterations of the individuals;

[0022] Step S3.2, in each iteration, use each individual to operate the circulating water system of the thermal power plant, obtain the circulating water pump parameters under the corresponding individual and the condenser vacuum degree in the circulating water system of the thermal power plant, and calculate the comprehensive objective function;

[0023] Step S3.3, retain the individual corresponding to the minimum value of the comprehensive objective function in the current iteration, and update the remaining individuals through differential mutation operation and crossover operation;

[0024] Step S3.4: In the next iteration, repeat step S3.2 for the updated individuals. If the minimum value of the comprehensive objective function in the current iteration is greater than the minimum value of the comprehensive objective function retained in the previous iteration, all individuals in the current iteration are updated through differential mutation and crossover operations; otherwise, repeat step S3.3;

[0025] Step S3.5, repeat step S3.4 until the maximum number of iterations is reached, and the individual corresponding to the minimum value of the comprehensive objective function is obtained as the optimal inverter instruction.

[0026] Furthermore, the present invention also provides a computer-readable storage medium storing a computer program, wherein the computer program enables a computer to execute the method for optimizing the operation of a circulating water pump in a thermal power plant using a multi-objective cultural differential evolution algorithm.

[0027] Furthermore, the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the operation of a circulating water pump in a thermal power plant using a multi-objective cultural differential evolution algorithm is implemented.

[0028] Furthermore, the present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements the method for optimizing the operation of circulating water pumps in a thermal power plant using a multi-objective cultural differential evolution algorithm.

[0029] Compared with the prior art, the present invention has the following beneficial effects: the present invention utilizes the multi-objective cultural differential evolution algorithm to optimize the circulating water pump operation method of the thermal power plant. The cultural differential evolution algorithm is used to optimize the inverter instructions of the circulating water pump, improve the global regulation of the inverter instructions, avoid falling into the local optimal solution, and establish a comprehensive multi-objective objective function that comprehensively considers the total energy consumption of the circulating water system of the thermal power plant and the power generation of the thermal power plant. It can improve the power generation of the thermal power plant on the basis of reducing the energy consumption of the circulating water system of the thermal power plant, thereby reducing energy consumption and reducing power generation costs. The present invention utilizes the multi-objective cultural differential evolution algorithm to optimize the operation of the circulating water pump of the thermal power plant, which can achieve efficient and stable operation of the circulating water pump of the thermal power plant, effectively reduce the energy consumption of the circulating water pump, ensure the operating stability and reliability of the circulating water pump, and extend the service life of the circulating water pump. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 The present invention is a flow chart of a method for optimizing the operation of circulating water pumps in a thermal power plant using a multi-objective cultural differential evolution algorithm. DETAILED DESCRIPTION

[0031] The technical solution of the present invention is further explained below in conjunction with the accompanying drawings.

[0032] like Figure 1 The flowchart of the method for optimizing the operation of circulating water pumps in thermal power plants using the multi-objective cultural differential evolution algorithm of the present invention is as follows:

[0033] Step S1, collecting historical inverter instructions in the circulating water system of the thermal power plant, the circulating water pump parameters under the corresponding inverter instructions and the condenser vacuum in the circulating water system of the thermal power plant, and determining the normal use range of the inverter instructions; the circulating water pump parameters under each inverter instruction in the present invention include: the water inlet flow rate of the circulating water pump, the efficiency of the circulating water pump, the motor operating voltage of the circulating water pump, the motor operating current of the circulating water pump, and the motor power factor of the circulating water pump.

[0034] Step S2: Establish a comprehensive objective function based on the circulating water pump parameters and the condenser vacuum in the circulating water system of the thermal power plant:

[0035] F=ω1*f1+ω2*f2+ω3*(-V condenser )

[0036] Among them, f1 represents the total energy consumption of the circulating water system of the thermal power plant, which is composed of the total energy consumption of the circulating water pump E pump Total energy consumption E of the motor of the circulating water pump motor Composition, f1 = E pump +E motor , n represents the total number of circulating water pumps in the circulating water system of a thermal power plant, i represents the index of n, Q i represents the water inlet flow rate of the i-th circulating water pump, η i represents the efficiency of the ith circulating water pump, and t represents the working time of the ith circulating water pump under the corresponding inverter instruction; V i Represents the motor operating voltage of the i-th circulating water pump, I i represents the motor operating current of the i-th circulating water pump, cosφ i represents the motor power factor of the i-th circulating water pump; f2 represents the power generation of the thermal power plant, which is determined by the condenser vacuum degree, f2 = k (V condenser -V condenser_opt ), V condenser Indicates the vacuum degree of the condenser under the corresponding inverter instruction, V condenser_opt represents the theoretical condenser vacuum under the corresponding inverter instruction, k represents the condenser vacuum coefficient; ω1 represents the weight coefficient of V1, ω2 represents the weight coefficient of f2, ω3 represents V condenser The weight coefficient is ω1+ω2+ω3=1. The present invention establishes a comprehensive multi-objective objective function that comprehensively considers the total energy consumption of the circulating water system of a thermal power plant and the power generation of the thermal power plant, which can increase the power generation of the thermal power plant on the basis of reducing the energy consumption of the circulating water system of the thermal power plant, thereby reducing energy consumption and reducing power generation costs.

[0037] Step S3: within the scope of use of the inverter instruction, with the goal of minimizing the comprehensive objective function, the inverter instruction is optimized using the multi-objective cultural differential evolution algorithm to determine the optimal inverter instruction, which can improve the global control of the inverter instruction and avoid falling into the local optimal solution. Specifically, it includes the following sub-steps:

[0038] Step S3.1, randomly initialize the inverter instructions within the use range of the inverter instructions as individuals of the multi-objective cultural differential evolution algorithm, so as to ensure that each individual is within the normal operating range and ensure the normal and stable operation of the circulating water pump of the thermal power plant; set the population size and the maximum number of iterations of the individual composition;

[0039] Step S3.2, in each iteration, use each individual to run the circulating water system of the thermal power plant, obtain the circulating water pump parameters and the condenser vacuum degree in the circulating water system of the thermal power plant under the corresponding individual, calculate the comprehensive objective function, optimize the control instructions of the circulating water pump inverter according to minimizing the comprehensive objective function, adjust the parameters of the circulating water pump to meet the needs of the circulating water system of the thermal power plant, and dynamically optimize the control instructions of the inverter when the load changes or the external environment such as temperature and flow changes, so as to ensure the optimal balance between the energy consumption of the circulating water pump and the power generation of the thermal power plant;

[0040] Step S3.3, retain the individual corresponding to the minimum value of the comprehensive objective function in the current iteration, and update the remaining individuals through differential mutation operation and crossover operation;

[0041] Step S3.4: In the next iteration, repeat step S3.2 for the updated individuals. If the minimum value of the comprehensive objective function in the current iteration is greater than the minimum value of the comprehensive objective function retained in the previous iteration, all individuals in the current iteration are updated through differential mutation and crossover operations; otherwise, repeat step S3.3;

[0042] Step S3.5, repeat step S3.4 until the maximum number of iterations is reached, and the individual corresponding to the minimum value of the comprehensive objective function is obtained as the optimal inverter instruction.

[0043] Step S4: Send the optimal inverter instruction to obtain the optimal circulating water pump parameters and the optimal condenser vacuum, and operate the circulating water pump of the thermal power plant.

[0044] The method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm can achieve efficient and stable operation of circulating water pumps in thermal power plants, effectively reduce the energy consumption of circulating water pumps, ensure the operating stability and reliability of circulating water pumps, extend the service life of circulating water pumps, and maximize the economic benefits of the system while ensuring safety.

[0045] In a technical solution of the present invention, a computer-readable storage medium is also provided, storing a computer program, wherein the computer program enables a computer to execute the method for optimizing the operation of circulating water pumps in a thermal power plant using a multi-objective cultural differential evolution algorithm.

[0046] In a technical solution of the present invention, an electronic device is also provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the operation of a circulating water pump in a thermal power plant using a multi-objective cultural differential evolution algorithm is implemented.

[0047] In a technical solution of the present invention, a computer program product is also provided, including a computer program, which, when executed by a processor, implements the method for optimizing the operation of circulating water pumps in a thermal power plant using a multi-objective cultural differential evolution algorithm.

[0048] In the embodiments disclosed in the present application, the computer storage medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. The computer storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. More specific examples of computer storage media can include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0049] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in this application can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0050] The above are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm, characterized in that: The specific steps include: Step S1, collecting historical inverter instructions in the circulating water system of the thermal power plant, circulating water pump parameters under the corresponding inverter instructions, and condenser vacuum in the circulating water system of the thermal power plant, and determining the normal use range of the inverter instructions; Step S2, establishing a comprehensive objective function based on the circulating water pump parameters and the condenser vacuum in the circulating water system of the thermal power plant; Step S3: within the use range of the inverter instruction, with the goal of minimizing the comprehensive objective function, the inverter instruction is optimized using a multi-objective cultural differential evolution algorithm to determine the optimal inverter instruction; Step S4: Send the optimal inverter instruction to obtain the optimal circulating water pump parameters and the optimal condenser vacuum, and operate the circulating water pump of the thermal power plant.

2. According to claim 1, a method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm is characterized in that: The circulating water pump parameters under each inverter instruction include: the water inlet flow of the circulating water pump, the efficiency of the circulating water pump, the motor operating voltage of the circulating water pump, the motor operating current of the circulating water pump, and the motor power factor of the circulating water pump.

3. The method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm according to claim 2 is characterized in that: The process of establishing the comprehensive objective function F in step S2 is: f=ω1*f1+ω2*f2+ω3*(-V condenser ) Among them, f1 represents the total energy consumption of the circulating water system of the thermal power plant, f2 represents the power generation of the thermal power plant, V condenser represents the condenser vacuum degree, ω1 represents the weight coefficient of f1, ω2 represents the weight coefficient of f2, and ω3 represents V condenser The weight coefficient is ω1+ω2+ω3=1.

4. According to claim 3, a method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm is characterized in that: The total energy consumption f1 of the circulating water system of a thermal power plant is composed of the total energy consumption E of the circulating water pump. pump Total energy consumption E of the motor of the circulating water pump motor composition: f1=F pump +E motor in, n represents the total number of circulating water pumps in the circulating water system of a thermal power plant, i represents the index of n, Q i represents the water inlet flow rate of the i-th circulating water pump, η i represents the efficiency of the ith circulating water pump, and t represents the working time of the ith circulating water pump under the corresponding inverter instruction; V i Represents the motor operating voltage of the i-th circulating water pump, I i represents the motor operating current of the i-th circulating water pump, cosφ i Represents the motor power factor of the i-th circulating water pump.

5. The method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm according to claim 4 is characterized in that: The power generation f2 of the thermal power plant is determined by the condenser vacuum degree: f2=k(V condenser -V condenser_opt ) Among them, V condenser Indicates the vacuum degree of the condenser under the corresponding inverter instruction, V condenser_opt It represents the theoretical condenser vacuum under the corresponding inverter instruction, and k represents the condenser vacuum coefficient.

6. The method for optimizing the operation of circulating water pumps in thermal power plants using a multi-objective cultural differential evolution algorithm according to claim 5 is characterized in that: Step S3 includes the following sub-steps: Step S3.1, randomly initialize the inverter instructions within the use range of the inverter instructions as individuals of the multi-objective cultural differential evolution algorithm, and set the population size and maximum number of iterations of the individuals; Step S3.2, in each iteration, use each individual to operate the circulating water system of the thermal power plant, obtain the circulating water pump parameters under the corresponding individual and the condenser vacuum degree in the circulating water system of the thermal power plant, and calculate the comprehensive objective function; Step S3.3, retain the individual corresponding to the minimum value of the comprehensive objective function in the current iteration, and update the remaining individuals through differential mutation operation and crossover operation; Step S3.4: In the next iteration, repeat step S3.2 for the updated individuals. If the minimum value of the comprehensive objective function in the current iteration is greater than the minimum value of the comprehensive objective function retained in the previous iteration, all individuals in the current iteration are updated through differential mutation and crossover operations; otherwise, repeat step S3.3; Step S3.5, repeat step S3.4 until the maximum number of iterations is reached, and the individual corresponding to the minimum value of the comprehensive objective function is obtained as the optimal inverter instruction.

7. A computer-readable storage medium storing a computer program, characterized in that: The computer program enables the computer to execute the method for optimizing the operation of circulating water pumps in a thermal power plant using a multi-objective cultural differential evolution algorithm as described in any one of claims 1 to 6.

8. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for optimizing the operation of a circulating water pump in a thermal power plant using a multi-objective cultural differential evolution algorithm as described in any one of claims 1 to 6 is implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method for optimizing the operation of a circulating water pump in a thermal power plant using a multi-objective cultural differential evolution algorithm as described in any one of claims 1 to 6 is implemented.

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