Consider element flexible binding integrated energy supply system operation state rapid detection method

Abstract

The application discloses a kind of considering element flexible binding integrated energy supply system operating state rapid detection method. Including the following steps: first, according to the quantity of integrated energy supply element in integrated energy supply system, initial state merging factor is randomly generated;Then, the structure of integrated energy supply system is restructured, and state restructuring system is obtained;Combining computer serial and parallel processing technology, the running state detection time of current state restructuring system is quantified, and the system running state detection quantization time corresponding to state merging factor is obtained;Then constantly change the value of state merging factor and obtain the system running state detection quantization time corresponding to each state merging factor, and then obtain the optimal state merging factor and the optimal state restructuring system;Finally, the general generating function method is used to detect the running state of the optimal state restructuring system.The application realizes the rapid detection of integrated energy supply system operating state, and improves the calculation efficiency.

Description

TECHNICAL FIELD

[0001] The application belongs to the field of integrated energy supply systems, and particularly relates to a method for detecting the operation state of an integrated energy supply system considering flexible binding of elements. BACKGROUND

[0002] An integrated energy supply system is an integrated energy system that integrates coal, oil, natural gas, electric energy, thermal energy and other energy to realize coordinated planning, optimized operation and collaborative management among various heterogeneous energy subsystems, so as to meet diversified energy demand, improve energy utilization efficiency and promote sustainable development of energy. The reliability of an integrated energy supply system refers to the ability of the energy supply system to provide energy to users without interruption under disturbance. Research on the reliability evaluation method of an integrated energy supply system is of great significance to the planning, construction and safe operation of the integrated energy supply system. In order to evaluate the reliability of an integrated energy supply system, the operation state of the integrated energy supply system needs to be analyzed in detail, and the system reliability is calculated on the basis of each operation state of the system.

[0003] In order to improve the efficiency of detecting the operation state of an integrated energy supply system, the existing method for detecting the operation state of an integrated energy supply system often uses parallel processing technology of a computer, but the traditional method for detecting the operation state of an integrated energy supply system based on parallel processing technology often has the following problems:

[0004] Firstly, the traditional parallel processing technology usually selects x elements as a group to enter a computer process for calculation. The value of x is usually randomly selected and can be any value. However, the larger the value of x, the longer the calculation time of a single computer process, but the total number of computer processes required is smaller, that is, there is an optimal x that minimizes the system operation state detection time. However, the traditional random selection of x makes the current operation state detection method, even with parallel processing technology, unable to quantify and optimize the efficiency of the method.

[0005] Secondly, in order to match the number of computer processes of parallel processing technology, the size of the system (including the number of elements) is often limited, for example, if a computer has only 8 processes, the number of elements in the system is often a multiple of 8, so that parallel processing technology can be applied. However, the size of a real engineering system is diverse, and the size of the system cannot be limited. Therefore, how to realize fast detection of the operation state of a system of any size is a problem that needs to be studied. SUMMARY

[0006] In order to solve the problems in the background art, the application provides a method for fast detecting the operation state of an integrated energy supply system considering flexible binding of elements. The application uses a detection framework of "parallel substructure-serial substructure-system" to realize fast detection of the operation state of an integrated energy supply system.

[0007] The technical scheme of the present application is as follows:

[0008] One kind is a kind of integrated energy supply system operating state fast detection method considering element flexible binding

[0009] First step: the initial state merging factor is randomly generated according to the number of integrated energy supply elements in integrated energy supply system;

[0010] Second step: the structure of integrated energy supply system is restructured based on the current state merging factor, and the state restructuring system is obtained;The running state detection time of the current state restructuring system is quantified by combining computer serial and parallel processing technology, and the corresponding system running state detection quantization time under the current state merging factor is obtained;

[0011] Third step: the value of state merging factor is changed constantly and the second step is repeated, the corresponding system running state detection quantization time under each state merging factor is obtained, the state merging factor with the least system running state detection quantization time is taken as the optimal state merging factor, so that the optimal state restructuring system is obtained;

[0012] Fourth step: the running state of the optimal state restructuring system is detected by using the general generating function method, and the running state detection of the integrated energy supply system is completed.

[0013] In the second step, the structure of integrated energy supply system is restructured based on the current state merging factor, and the state restructuring system is obtained, specifically:

[0014] S1: according to the value of current state merging factor, the integrated energy supply system is divided into several subsystems and composed into a first level merging system, wherein each subsystem is composed of the same number of integrated energy supply elements as the state merging factor;

[0015] S2: according to the value of current state merging factor, the current level merging system is divided into several new subsystems, wherein each new subsystem is composed of the same number of subsystems in the current level merging system as the state merging factor, and the next level merging system is composed of several new subsystems;

[0016] S3: repeat S2, divide the current level merging system and obtain the new level merging system, until the number of subsystems in the latest level merging system is less than the current state merging factor, and the state restructuring system includes all level merging systems.

[0017] In the second step, the running state detection time of the current state restructuring system is quantified by combining computer serial and parallel processing technology, and the corresponding system running state detection quantization time under the current state merging factor is obtained, specifically:

[0018] SP1: determine parallel processing time of each merging system according to current state merging factor, running state of different merging system is calculated by parallel processing technology, then combine the number of each level merging system in current state reconstruction system, sum up parallel processing time of all merging system in current state reconstruction system to obtain first quantitative time TQU1;

[0019] SP2: all last level merging system is combined into a terminal merging system, calculate serial-parallel operation time of the terminal merging system and record as second quantitative time TQU2;

[0020] SP3: calculate the product of I power of state merging factor x and the number of last level merging system array_z[I], I is the level of last level merging system; then subtract the product from the number of comprehensive energy supply element N in comprehensive energy supply system to obtain reconstruction residual factor A; if reconstruction residual factor A=0, then system running state detection quantitative time is the sum of first quantitative time TQU1 and second quantitative time TQU2; if reconstruction residual factor A is 1 or an integer greater than or equal to 2, then execute SP4;

[0021] SP4: calculate third quantitative time TQU3, the formula is as follows:

[0022] TQU3= Np·Ns N ·T_parallel

[0023] If reconstruction residual factor A is 1, then system running state detection quantitative time is the sum of first quantitative time TQU1, second quantitative time TQU2 and third quantitative time TQU3; otherwise, execute SP5;

[0024] SP5: the reconstruction residual system is composed of reconstruction residual factor A state number Ns and energy number Np elements, calculate serial-parallel operation time of the reconstruction residual system and record as fourth quantitative time TQU4, system running state detection quantitative time is the sum of first quantitative time TQU1, second quantitative time TQU2, third quantitative time TQU3 and fourth quantitative time TQU4.

[0025] Parallel processing time of running state of each first level merging system satisfies the following formula:

[0026] Ux(x,Ns)=Np·T_parallel·(Ns x+1 -Ns 2 ) / (Ns-1)

[0027] T_parallel=T_addition+T_muliplication

[0028] Wherein, Ux(x, Ns) represents the parallel processing time of the running state of each primary merging system; T_parallel is a parallel structure time factor, T_addition is the time of single processing and operation of a computer, T_muliplication is the time of single processing and multiplication operation of a computer; Np is the energy number of the comprehensive energy supply element, and Ns is the state number of the comprehensive energy supply element.

[0029] Two, a fast detection device for the running state of a comprehensive energy supply system considering flexible binding of elements

[0030] A state merging factor generation unit is configured to generate a state merging factor.

[0031] A state reconstruction system generation unit is configured to reconstruct the structure of the comprehensive energy supply system based on each state merging factor to obtain a state reconstruction system.

[0032] A system running state detection quantization time calculation unit is configured to combine computer serial and parallel processing technologies to quantize the running state detection time of each state reconstruction system to obtain the system running state detection quantization time corresponding to each state merging factor.

[0033] An optimal selection unit is configured to determine the optimal state merging factor and the optimal state reconstruction system.

[0034] A running state detection unit is configured to detect the running state of the optimal state reconstruction system by using a general generating function method.

[0035] Three, a computer device

[0036] The device comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the fast detection method for the running state of the comprehensive energy supply system considering flexible binding of elements when executing the computer program.

[0037] Four, a computer readable storage medium

[0038] The medium stores a computer program, and the computer program implements the steps of the fast detection method for the running state of the comprehensive energy supply system considering flexible binding of elements when executed by a processor.

[0039] Five, a computer program product

[0040] The product comprises a computer program / instruction, and the computer program / instruction implements the steps of the fast detection method for the running state of the comprehensive energy supply system considering flexible binding of elements when executed by a processor.

[0041] The beneficial effects of the present application are:

[0042] Compared with the prior art, the method of the present application proposes a state merging factor and an element flexible merging architecture based on the state merging factor, divides the entire integrated energy supply system and the system substructure related to parallel processing technology and serial processing technology, and provides a system structure classification basis for quantifying the integrated energy supply system operation state detection time of any scale.

[0043] Compared with the prior art, the method of the present application proposes an integrated energy supply system operation state detection time optimization model integrating parallel processing technology and serial processing technology, optimizes the system substructure contained in a single computer process in parallel processing technology, and further reduces the time required by traditional parallel computing.

[0044] Compared with the prior art, the method of the present application establishes an integrated energy supply system operation state distribution function according to the optimal solution of parallel processing calculation and the element flexible merging architecture, and adopts a three-level operation state detection framework of “system substructure based on parallel processing technology-system substructure based on serial processing technology-system” to realize rapid detection of the operation state. BRIEF DESCRIPTION OF DRAWINGS

[0045] Figure 1 is a logic block diagram of the method of the present application.

[0046] Figure 2 is a logic block diagram for solving the system operation state detection quantization time.

[0047] Figure 3 is an optimization logic block diagram of the state merging factor.

[0048] Figure 4 is a logic block diagram of the fourth step of integrated energy supply system operation state detection.

[0049] Figure 5 is a structural schematic diagram of the integrated energy supply system. DETAILED DESCRIPTION

[0050] In order for those skilled in the art to better understand the present application, and to more clearly define the scope of the present application, the present application is described in detail below with reference to some specific embodiments of the present application and the accompanying drawings. It should be noted that the following is only some specific embodiments of the present application concept and is only a part of the embodiments of the present application, and the specific and direct description of the related structure is only for the convenience of understanding the present application, and each specific feature does not of course and directly limit the scope of the present application. The routine selection and replacement made by those skilled in the art under the guidance of the present application concept, and the reasonable arrangement and combination of several technical features under the guidance of the present application concept, should all be regarded as within the scope of the present application.

[0051] As Figure 1As shown, the application provides a kind of flexible binding considering element integrated energy supply system operating state rapid detection method including the following steps:

[0052] First step: according to the number of integrated energy supply elements in integrated energy supply system, randomly generate initial state merging factor, state merging factor is greater than 1 Positive integer and state merging factor is less than the total number of integrated energy supply elements;

[0053] Second step: based on the current state merging factor, the structure of integrated energy supply system is reconstructed, and the state reconstruction system is obtained;Integrate computer serial and parallel processing technology (i.e. computer serial and parallel processing principle), the running state detection time of current state reconstruction system is quantified, and the corresponding system running state detection quantization time under the current state merging factor is obtained;

[0054] As Figure 5 As shown, the integrated energy supply system is composed of N integrated energy supply elements in parallel, such as combined cooling heating and power unit.

[0055] Computer serial processing technology refers to the decomposition of a complex task into multiple time-ordered subtasks, each subtask is performed one after another in time sequence.Each subtask must wait for the completion of the previous subtask before starting processing, and the processing result of the last subtask is the final result of the whole task.Computer parallel processing technology refers to the decomposition of a complex task into multiple subtasks that can be executed simultaneously in a computer, and these subtasks are processed simultaneously by using multiple computer processes, each computer process independently executes its own computing task, and finally the processing results of each subtask are integrated to obtain the final result of the whole task.

[0056] The traditional computer serial processing technology is used in the operation state detection of the comprehensive energy supply system, which means that the operation state detection between elements is regarded as a subtask. Subtask 1 refers to the operation state detection of the first element and the second element, subtask 2 refers to the operation state detection of the third element superimposed on the basis of subtask 1, and the iteration is continuously superimposed to the operation state detection of the Nth element. The operation state detection result of subtask N-1 is the operation state detection result of the whole comprehensive energy supply system. The traditional computer parallel processing technology is used in the operation state detection of the comprehensive energy supply system, which means that the operation state detection of x (the value of x is random) elements is regarded as a subtask. Subtask 1 refers to the operation state detection from the first element to the xth element, subtask 2 refers to the operation state detection from the x+1th element to the 2xth element, and the iteration is continuously superimposed until the last subtask. Multiple subtasks can be assigned to multiple computer processes for simultaneous parallel calculation, and after the operation state detection result of each subtask is calculated, a subtask is needed to integrate the operation state detection result of each subtask, and then the operation state of the whole comprehensive energy supply system is obtained. In order to optimize the number of elements in the parallel processing technology, the structure of the comprehensive energy supply system is reconstructed.

[0057] In the second step, the structure of the comprehensive energy supply system is reconstructed based on the current state merging factor to obtain a state reconstruction system, specifically:

[0058] S1: According to the value of the current state merging factor, the comprehensive energy supply system is divided into a plurality of subsystems and a first merging system, wherein each subsystem is composed of the same number of comprehensive energy supply elements as the state merging factor; after the division, if there are remaining comprehensive energy supply elements, the number of which is necessarily less than the state merging factor, these remaining comprehensive energy supply elements do not form a subsystem;

[0059] S2: According to the value of the current state merging factor, the current level merging system is divided into a plurality of new subsystems, wherein each new subsystem is composed of the same number of subsystems in the current level merging system as the state merging factor, and after the division, if there are remaining subsystems, the number of which is necessarily less than the state merging factor, these remaining subsystems do not form a new subsystem. A new level merging system is composed of a plurality of new subsystems;

[0060] S3: Repeat S2 to divide the current level merging system and obtain a new level merging system until the number of subsystems in the latest level merging system is less than the current state merging factor. The state reconstruction system includes all level merging systems, and also includes a reconstruction remaining system and a terminal merging system. The reconstruction remaining system is composed of the elements remaining after each division; all the last level merging systems are combined into a terminal merging system.

[0061] Specifically,

[0062] Firstly, the integrated energy supply system is divided for the first time, and N integrated energy supply elements are divided into [N / x] first-level subsystems, [N / x] is the operation of N divided by x, and [N / x] is defined as the number of first-level combined systems array_z[1]. Each first-level subsystem is recorded as a new element. x is the state merging factor, that is, the number of elements included in the calculation process of each computer process in parallel processing technology. Each first-level subsystem has x integrated energy supply elements. After the first division, there may be N%x integrated energy supply elements left, and N%x is the operation of N modulo x.

[0063] On the basis of the first division, the second division is carried out, and the obtained array_z[1] first-level combined systems are divided into [[N / x] / x] second-level combined systems, and [[N / x] / x] is the operation of [N / x] divided by x. Now each second-level subsystem has x first-level subsystems. Then the x first-level subsystems of each second-level subsystem are equivalent to a new element, so that after the second division, [[N / x] / x] new elements are obtained, and [[N / x] / x] is defined as the number of second-level subsystems array_z[2]. Similarly, after the second division, [N / x]%x first-level subsystems may be left, where [N / x]%x is the operation of [N / x] modulo x.

[0064] The above division is continuously cycled until the number of I-level combined systems array_z[I] obtained by the Ith division is less than x, the division is stopped, and the first-level combined system, the second-level combined system,..., and the I-level combined system and the number thereof are returned.

[0065] In the second step, the running state detection time of the current state reconstruction system is quantified by combining computer serial and parallel processing technology (i.e. computer serial and parallel processing principle), and the corresponding system running state detection quantization time under the current state merging factor is obtained, as shown in Figure 2 Specifically,

[0066] SP1: Determine the parallel processing time (i.e. parallel operation time) of each combined system according to the current state merging factor (i.e. parallel operation time, so only the number of parallel operations needs to be known in the second step), and the running state of different combined systems is calculated by using parallel processing technology, that is, a combined system in the current level state reconstruction system is recorded as a computer process, and then the parallel processing time of all combined systems in the current state reconstruction system is summed to obtain the first quantization time TQU1, which satisfies where p[j+1] is the parallel computing number of the j+1th merged system, Ux(x, Ns^(x^j)) represents that the element with x state number Ns^(x^j) and energy number Np is equivalent to a new element (i.e. a merged system) by using the general generating function method, ^ represents power, the time required for operation state detection of the new element, and satisfies Ux(x, Ns^(x^j)) = Np·T_parallel·((Ns^(x^j) x+1 -(Ns^(x^j)) 2 ) / (Ns^(x^j)-1).

[0067] M is the number of computer processes, and one merged system is stored in one computer process for calculation, and M computer processes are parallel calculated. If array_z[j+1] can be divided by M, the parallel computing number p[j+1] of the j+1th merged system is:

[0068] p[j+1]= array_z[j+1] / M

[0069] If array_z[j+1] cannot be divided by M, in order to ensure that the calculation tasks of array_z[j+1] j+1th merged systems are fully executed, the parallel computing number p[j+1] of the j+1th merged system is:

[0070]

[0071] where array_z[j+1] is the number of the j+1th merged system, represents the floor operation, and M is the number of computer processes for parallel calculation.

[0072] For each kth merged system, the parallel processing time T(k) of operation state detection is:

[0073]

[0074] where Ux(x, Ns^(x^(k-1))) represents that the element with x state number Ns^(x^(k-1)) and energy number Np is equivalent to a new element by using the general generating function method, T_parallel is a parallel structure time factor, Ns^(x^(k-1)) is the state number contained in each kth merged system, and the state number contained in each kth merged system is obtained by calculating x k-1th merged systems by using the general generating function method.

[0075] Open M computer processes to run the parallel computing of the running state of each level of the merging system, and quantify the running state detection time of each merging system based on the general generating function method. Based on the general generating function method, the running state of any x comprehensive energy supply elements or x new elements can be equivalent to the running state of a merging system, and the parallel processing time of the running state of each first-level merging system satisfies the following formula:

[0076] Ux(x,Ns)=Np·T_parallel·(Ns x+1 -Ns 2 ) / (Ns-1)

[0077] T_parallel=T_addition+T_muliplication

[0078] Wherein, Ux(x,Ns) represents the parallel processing time of the running state of each first-level merging system, that is, x state number, energy number Np of the element is equivalent to a new element by using the general generating function method, and the running state detection time of the new element is required; T_parallel is a parallel structure time factor, T_addition is the time of single processing and operation of the computer, T_muliplication is the time of single processing and operation of the computer; Np is the energy number of the comprehensive energy supply element, and Ns is the state number of the comprehensive energy supply element.

[0079] SP2: all last-level merging systems are combined into a terminal merging system, and the running state of the terminal merging system is calculated by using a serial processing technology, the serial operation time of calculating the running state of the terminal merging system is recorded as the second quantization time TQU2, and satisfies , Ux() represents the operation time calculation function of the computer; the second quantization time TQU2 quantifies the running state detection time of the new element equivalent to the running state of array_z[I] I-level merging systems.

[0080] SP3: calculate the product of the I power of the state merging factor x and the number of the last-level merging system array_z[I], I is the level of the last-level merging system, that is, the division number in the generation process of the state reconstruction system; then subtract the product from the number of the comprehensive energy supply element N in the comprehensive energy supply system to obtain the reconstruction residual factor A; if the reconstruction residual factor A=0, the system running state detection quantization time is the sum of the first quantization time TQU1 and the second quantization time TQU2, that is, the fourth quantization time TQU4 and the third quantization time TQU3 are both 0; if the reconstruction residual factor A is 1 or an integer greater than or equal to 2, execute SP4;

[0081] SP4: Calculate the third quantization time TQU3, the formula is as follows:

[0082] TQU3= Np·Ns N ·T_parallel

[0083] If the reconstruction residual factor A is 1, the system running state detection quantization time is the sum of the first quantization time TQU1, the second quantization time TQU2 and the third quantization time TQU3, that is, the fourth quantization time TQU4 is 0; otherwise, SP5 is executed;

[0084] SP5: The reconstruction residual system is composed of elements with state number Ns and energy number Np, and the series-parallel operation time of the reconstruction residual system is calculated and recorded as the fourth quantization time TQU4, TQU4=Ux(A,Ns)=Np·T_parallel·(Ns A+1 -Ns 2 ) / (Ns-1), Ux(A,Ns) represents that A elements with state number Ns and energy number Np are equivalent to a new element by using the general generating function method, and the running state detection time of the new element. The system running state detection quantization time T total is the sum of the first quantization time TQU1, the second quantization time TQU2, the third quantization time TQU3 and the fourth quantization time TQU4.

[0085] In summary, if A=0, then:

[0086] T total =TQU1+TQU2

[0087] If A=1, then:

[0088] T total =TQU1+TQU2+TQU3

[0089] If A is an integer greater than or equal to 2, then:

[0090] T total =TQU1+TQU3+TQU2+TQU4

[0091] Third step: continuously change the value of the state merging factor and repeat the second step to obtain the system running state detection quantization time corresponding to each state merging factor, and take the state merging factor with the least system running state detection quantization time as the optimal state merging factor, and obtain the optimal state reconstruction system (i.e. the structure reconstruction of the comprehensive energy supply system based on the optimal state merging factor); The value of the state merging factor determines how many elements are selected as a group to enter a computer process, and the optimal solution obtained can minimize the detection time required for the running state of the comprehensive energy supply system of any scale, such as Figure 3As shown. The constraints in the optimization process include x≥2 and x∈Z, where Z represents an integer; Ns≥2 and Ns∈Z, where Ns is the number of states of a single integrated power supply element; I satisfies .

[0092] Step 4: Use the general generating function method to detect the operating status of the optimal state reconstruction system, and complete the operation status detection of the integrated energy supply system.

[0093] like Figure 4 As shown, the fourth step is as follows:

[0094] 41) In the analysis of the integrated energy supply system operation status obtained in the first step, the parallel computing system substructure related to computer parallel processing technology is used to establish array_z[I] "I whole" operation status distribution functions using the general generating function method and parallel processing technology.

[0095] In the second step, under the flexible component merging architecture based on the state merging factor, the integrated power supply system is first divided into array_z[1] first-level merged systems. Each first-level merged system consists of x integrated power supply components. The operating state distribution function of the a-th first-level merged system is established using the general generating function method:

[0096]

[0097] Among them, U 1整,a (z) represents the form of a general generating function. a The operating state distribution function of a first-level merged system a =1,…,array_z[1]; Represents a single integrated power supply element i Energy considerations under state Ji v 'output power' i =1,…,x, v =1,…,Np; Represents a single integrated power supply element i The probability under state Ji; Ns is the state number of integrated power supply element i; Np is the integrated power supply element. i Energy number; (S 1整,a +1) indicates the first a The number of states in a first-level merged system Indicates the first a The first-level merged system is in state J1. a The following considerations energy v Output power, J1 unit, a =0,…,S 1整,a ; Indicates the first aThe first-level merged system is in state J1. a The probability of the following is given. x is the state merging factor obtained in the third step.

[0098] array_z[1] first-level merging systems require M computer processes to simultaneously compute p[1] times to distribute the running state function U of array_z[1] first-level merging systems. 1整,a (z) are all calculated.

[0099] The operating state distribution function U of array_z[1] first-level merged systems 1整,a After calculating (z), the array_z[1] first-level merged systems are divided a second time to obtain array_z[2] second-level merged systems. Each second-level merged system consists of x first-level merged systems. The operating state distribution function of the a-th second-level merged system is established using the general generating function method:

[0100]

[0101] Among them, U 2整,a (z) represents the operating state distribution function of the a-th second-level merged system expressed in the form of a general generating function, in this step... a =1,…,array_z[2] ;(S 1整,l +1) represents the number of components in the a-th secondary merging system. l The number of states in a single-level merged system; The a-th second-level merged system is represented by the first... l The first-level merged system is in state J1. l The following considerations energy v Output power, J1 unit, l =0,…,S 1整,l ; The a-th second-level merged system is represented by the first... l The first-level merged system is in state J1. l The probability of the following This indicates that the a-th second-level merged system is in state J2. a The following considerations energy v Output power, J2 unit, a =0,…,S 2整,a ;(S 2整,a +1) represents the number of states in the a-th second-level merged system. This indicates that the a-th second-level merged system is in state J2. a The probability of it happening.

[0102] array_z[2] two-level merging systems require M computer processes to simultaneously compute p[2] times in order to distribute the running state function U of array_z[2] two-level merging systems. 2整,a (z) are all calculated.

[0103] This process continues until the operating state distribution function U of array_z[I-1] I-1 level merged systems is obtained. I-1整,a (z) are all calculated. The I-th partitioning of array_z[I-1] I-1 level merged systems yields array_z[I] level merged systems. Since array_z[I] is less than x, further partitioning based on the flexible component-based merging architecture is unnecessary. Each level merged system consists of x I-1 level merged systems. The operating state distribution function of the a-th level merged system is established using the general generating function method:

[0104]

[0105] Among them, U I整,a (z) represents the operating state distribution function of the a-th level I merged system, expressed in the form of a general generating function, in this step... a =1,…,array_z[I];(S I-1整,l +1) represents the number of components in the a-th Level I merging system. l The number of states in a Level I-1 merged system; The a-th level I merging system represents the first... l The I-1 level merged system is in state JI-1. l The following considerations energy v Output power, JI-1 unit, l =0,…,S I-1整,l ; The a-th level I merging system represents the first... l The I-1 level merged system is in state JI-1. l The probability of the following This indicates that the a-th level I merged system is in state JI. a The following considerations energy v , (S) output power, I整,a +1) represents the state number of the a-th level I merged system, JI is integer, a =0,…,S I整,a ; This indicates that the a-th level I merged system is in state JI. a The probability of it happening.

[0106] array_z[I] I-level merging systems need M computer processes to calculate p[I] times simultaneously, so as to obtain the running state distribution function U I整,a (z) of the array_z[I] I-level merging systems.

[0107] 42) The array_z[I] I-level merging systems are connected in parallel, and the array_z[I] I-level merging systems are equivalent to a terminal merging system after being connected in parallel. The running state distribution function of the terminal merging system is established by using the general generating function method and the serial processing technology:

[0108]

[0109] wherein, U 整 (z) represents the running state distribution function of the terminal merging system in the form of the general generating function; (S I整,l +1) represents the state number of the I-level merging system, and S l =1,…,array_z[I] in this step. l represents the output power of the I-level merging system in the state JI , Ji l =0,…,S I整,l . l represents the probability of the I-level merging system in the state JI v , Ji l =0,…,S 整 . represents the output power of the terminal merging system in the state J l , Ji l =0,…,S 整 . represents the probability of the terminal merging system in the state J v .

[0110] 43) The A comprehensive energy supply elements are connected in parallel, and are equivalent to a reconstructed residual system. The running state distribution function of the reconstructed residual system is established by using the general generating function method and the serial processing technology:

[0111]

[0112] wherein, U 余 (z) represents the running state distribution function of the reconstructed residual system in the form of the general generating function; represents the output power of the comprehensive energy supply element i in the state Ji v , Ji=1,…,Ns, and S i ​=1,…,A; P J i (J i ) represents the probability of the comprehensive energy supply element i in state Ji; (s+1) represents the number of states of the comprehensive energy supply element; P J r (J r ) represents the probability of the restructured residual system in state J r ; v P J r (J r ) represents the probability of the restructured residual system in state J r ; 余 +1) represents the number of states of the restructured residual system, J r =0,…,S 余 ; P J r (J r ) represents the probability of the new comprehensive energy supply element r in state J r.

[0113] 44) the operating state distribution function U 整 (z) of the end-merging system based on 42) and the operating state distribution function U 余 (z) of the restructured residual system based on 43), the operating state distribution function of the comprehensive energy supply system is established by using the general generating function method and the serial processing technology:

[0114]

[0115] wherein U(z) represents the operating state distribution function of the comprehensive energy supply system in the form of the general generating function; P J s (J s ) represents the probability of the comprehensive energy supply system in state J s ; v P J s (J s ) represents the probability of the comprehensive energy supply system in state J s ; 系 +1) represents the number of states of the comprehensive energy supply system, J s =0,…,S 系 ; P J s (J s ) represents the probability of the comprehensive energy supply system in state J s.

[0116] Based on the operating state distribution function of the comprehensive energy supply system in 44), combined with the demand of the comprehensive energy supply system, the reliability of the comprehensive energy supply system can be evaluated, and the optimization of scheduling of the comprehensive energy supply system can be performed.

[0117] The operating state of the comprehensive energy supply system composed of different numbers of combined heat and power unit elements in parallel is detected rapidly as follows. In the experimental process, each combined heat and power unit has three performances of heat, electricity and gas. Each combined heat and power unit has five states. Four computer processes are adopted to detect the operating state of the comprehensive energy supply system considering the flexible binding of elements.

[0118] For the comprehensive energy supply system composed of 10, 20 and 30 combined heat and power unit elements in parallel, the optimal state merging factor x is 2. For the comprehensive energy supply system composed of 40 combined heat and power unit elements in parallel, the optimal state merging factor x is 3. The efficiency comparison results of the method proposed in the application and the traditional method are shown in Table 1. As shown in Table 1, the method proposed in the application significantly shortens the time required for operating state detection.

[0119] Table 1 is a comparison table of the efficiency of the method proposed in the application and the traditional method

[0120]

[0121] The application further provides a device for rapidly detecting the operation state of a comprehensive energy supply system considering flexible binding of elements, comprising:

[0122] a state merging factor generation unit for generating a state merging factor;

[0123] a state reconstruction system generation unit for reconstructing the structure of the comprehensive energy supply system based on each state merging factor to obtain a state reconstruction system;

[0124] a system operation state detection quantitative time calculation unit for quantifying the operation state detection time of each state reconstruction system in combination with computer serial and parallel processing technologies to obtain the corresponding system operation state detection quantitative time under each state merging factor;

[0125] an optimal selection unit for determining the optimal state merging factor and the optimal state reconstruction system;

[0126] an operation state detection unit for detecting the operation state of the optimal state reconstruction system by using a general generating function method.

[0127] The application further provides a computer device, which comprises a memory and a processor, the memory stores a computer program, and the processor implements the steps of the method for rapidly detecting the operation state of the comprehensive energy supply system considering flexible binding of elements when executing the computer program.

[0128] The application further provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the method for rapidly detecting the operation state of the comprehensive energy supply system considering flexible binding of elements when being executed by a processor.

[0129] The application further provides a computer program product, which comprises a computer program / instruction, and the computer program / instruction implements the steps of the method for rapidly detecting the operation state of the comprehensive energy supply system considering flexible binding of elements when being executed by a processor.

Claims

1. A method for rapid detection of the operating status of an integrated energy supply system considering flexible component bonding, characterized in that, Includes the following steps: Step 1: Randomly generate an initial state merging factor based on the number of integrated energy supply components in the integrated energy supply system; Step 2: Reconstruct the structure of the integrated energy supply system based on the current state merging factor to obtain the state-reconstructed system; By combining computer serial and parallel processing techniques, the running state detection time of the current state reconstruction system is quantified to obtain the quantized running state detection time of the system under the current state merging factor. In the second step, combining computer serial and parallel processing techniques, the operating state detection time of the current state reconstruction system is quantified to obtain the quantized operating state detection time corresponding to the current state merging factor, specifically: SP1: Determine the parallel processing time of each merged system based on the current state merging factor. The running state of different merged systems is calculated using parallel processing technology. Then, combined with the number of merged systems at each level in the current state reconstruction system, the parallel processing time of all merged systems in the current state reconstruction system is summed to obtain the first quantization time TQU1. SP2: Combine all the last-stage merging systems into a terminal merging system, calculate the serial-parallel operation time of the terminal merging system and record it as the second quantization time TQU2; SP3: Calculate the product of the state merging factor x raised to the power of I and the number of last-level merged systems array_z[I], where I is the level of the last-level merged system; Then, subtract the product from the number N of integrated energy supply components in the integrated energy supply system to obtain the reconfiguration residual factor A; if the reconfiguration residual factor A = 0, the system operation status detection quantization time is the sum of the first quantization time TQU1 and the second quantization time TQU2; if the reconfiguration residual factor A is 1 or an integer greater than or equal to 2, then SP4 is executed. SP4: Calculate the third quantization time TQU3, using the following formula: TQU3= Np·Ns N ·T_parallel If the reconstructed residual factor A is 1, then the quantization time for system operation status detection is the sum of the first quantization time TQU1, the second quantization time TQU2, and the third quantization time TQU3; otherwise, SP5 is executed. SP5: The reconstructed residual system consists of Ns state numbers and Np energy numbers of the reconstructed residual factor A. The serial-parallel operation time of the reconstructed residual system is calculated and recorded as the fourth quantization time TQU4. The quantization time for system operation state detection is the sum of the first quantization time TQU1, the second quantization time TQU2, the third quantization time TQU3, and the fourth quantization time TQU4. The parallel processing time of each of the first-level merging systems satisfies the following formula: Ux(x,Ns)=Np·T_parallel·(Ns x+1 -Ns 2 ) / (Ns-1) T_parallel=T_addition+T_muliplication Where Ux(x,Ns) represents the parallel processing time of each first-level merging system; T_parallel is the parallel structure time factor; T_addition is the time for a single computer processing and operation; T_muliplication is the time for a single computer processing and multiplication operation; Np is the number of energy sources of the integrated power supply element; and Ns is the number of states of the integrated power supply element. Step 3: Continuously change the value of the state merging factor and repeat step 2 to obtain the corresponding system operation state detection quantization time under each state merging factor. Take the state merging factor with the shortest system operation state detection quantization time as the optimal state merging factor, thereby obtaining the optimal state reconstruction system. Step 4: Use the general generating function method to detect the operating status of the optimal state reconstruction system, and complete the operation status detection of the integrated energy supply system.

2. The method for rapid detection of the operating status of an integrated energy supply system considering flexible component bonding as described in claim 1, characterized in that, In the second step, the structure of the integrated energy supply system is reconstructed based on the current state merging factor to obtain a state-reconstructed system, specifically as follows: S1: Based on the value of the current state merging factor, the integrated energy supply system is divided into several subsystems and formed into a first-level merging system, wherein each subsystem consists of the same number of integrated energy supply elements as the state merging factor. S2: Divide the current level merging system into several new subsystems according to the value of the current state merging factor. Each new subsystem consists of the same number of subsystems in the current level merging system as the state merging factor. The next level merging system is composed of several new subsystems. S3: Repeat S2 to divide the current level merged system and obtain a new level merged system until the number of subsystems in the latest level merged system is less than the current state merge factor. The state reconstruction system includes all level merged systems.

3. A rapid detection device for the operating status of an integrated energy supply system that considers flexible component bonding for implementing the method of claim 1, characterized in that, include: State merging factor generation unit, used to generate state merging factors; The state reconfiguration system generation unit is used to reconfigure the structure of the integrated energy supply system based on each state merging factor to obtain the state reconfiguration system. The system operation status detection quantization time calculation unit is used to combine computer serial and parallel processing technology to quantify the operation status detection time of each state reconstructed system and obtain the corresponding system operation status detection quantization time under each state merging factor. The optimal selection unit is used to determine the optimal state merging factor and the optimal state reconstruction system; The operational status detection unit is used to detect the operational status of the optimal state reconstruction system using a general generating function method.

4. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the rapid detection method for the operating status of an integrated energy supply system considering flexible component binding as described in claim 1 or 2.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the rapid detection method for the operating status of an integrated energy supply system considering flexible component binding as described in claim 1 or 2.

6. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the steps of the rapid detection method for the operating status of an integrated power supply system considering flexible component bonding as described in claim 1 or 2.

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