Comprehensive energy supply system reliability rapid judgment method considering multi-layer acceleration

Abstract

The invention discloses a comprehensive energy supply system reliability rapid judgment method considering multi-layer acceleration. The method comprises the following steps: firstly, establishing a reliability function corresponding to each cogeneration unit element in the comprehensive energy supply system by using a general generation function method; next, according to the reliability function corresponding to each combined heat and power generation unit element, performing layer-by-layer subsystem reliability function calculation on the comprehensive energy supply system, and finally obtaining a reliability function corresponding to the (A-1) th layer of subsystem, A being the number of subsystem layers of the comprehensive energy supply system; and finally, based on the reliability function corresponding to the (A-1) th level subsystem, generating a reliability parameter of the comprehensive energy supply system by adopting a general function generation method, and further performing judgment according to the reliability parameter. According to the method, the problem of time accumulation delay possibly occurring in a large-scale system in a traditional reliability evaluation algorithm is effectively avoided, and the time span needed for reliability evaluation of the comprehensive energy supply system containing a large number of parallel elements is shortened.

Description

Technical Field

[0001] The present invention relates to a method for judging the reliability of an integrated energy supply system, and particularly to a method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration. Background Art

[0002] The integrated energy supply system aims to organically integrate and efficiently utilize various energy forms through a highly integrated and optimized manner, effectively promote the wide consumption of renewable energy, and drive the society to transform towards a low-carbon, green, and sustainable development model. The reliability of the integrated energy supply system can be defined as the ability of the system to continuously, stably, and uninterruptedly supply energy that meets the standard requirements to users while meeting the diverse energy needs of society and users. For the integrated energy supply system, accurately judging and evaluating its reliability level is not only crucial for the scientific planning and reasonable layout of the system, but also ensures that the system can fully exert its effectiveness during the actual operation process.

[0003] However, in the actual application scenarios of the integrated energy supply system, with the sharp increase in the number of parallel components and the explosive growth of the possible state numbers of each component, this poses a challenge to the computing power of the integrated energy supply system, restricting the further development and popularization of the traditional reliability assessment technology of the integrated energy supply system in large-scale system applications. The traditional reliability judgment methods used for the integrated energy supply system face the problems of high computational complexity and low computational efficiency when dealing with an integrated energy supply system with a large number of parallel components and state numbers (generally, if the system reliability calculation time is greater than 30 minutes, the system is considered large-scale). The traditional reliability assessment methods are difficult to accurately map the reliability information of individual components to the reliability of the entire system, and thus cannot accurately and effectively evaluate the reliability of the system, which is not conducive to the stable operation and continuous optimization of the integrated energy supply system.

[0004] Therefore, it is urgent to propose a rapid analysis method for the reliability of the integrated energy supply system on the premise of ensuring computational accuracy, so as to construct a more efficient and stable integrated energy supply system. Summary of the Invention

[0005] In order to solve the problems and requirements in the background art, the present invention provides a method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration.

[0006] The technical solution adopted by the present invention is:

[0007] I. A method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration

[0008] The first step: Use the general generating function method to establish the reliability function corresponding to each combined heat and power unit component in the integrated energy supply system;

[0009] Step 2: According to the reliability functions corresponding to the components of each combined heat and power unit, calculate the reliability functions of the subsystems of the integrated energy supply system layer by layer, and finally obtain the reliability function corresponding to the subsystem at the A-1 layer, where A is the number of subsystem layers of the integrated energy supply system;

[0010] Step 3: Based on the reliability function corresponding to the subsystem at the A-1 layer, use the universal generating function method to generate the reliability parameters of the integrated energy supply system, and make a judgment according to the reliability parameters.

[0011] Specifically, Step 2 is as follows:

[0012] S21: After factoring the number n of the combined heat and power unit components in the integrated energy supply system, obtain a factor list that satisfies n = n 1 ×n 2 ×…×n a …×n A , where n a is the a-th factor, a = 1, …, A, and A is the number of factors in the factor list and is denoted as the number of subsystem layers of the integrated energy supply system;

[0013] S22: Combine every n 1 combined heat and power unit components in the integrated energy supply system to form a first-layer subsystem S1, so as to obtain n 2 ×…×n A first-layer subsystems, and calculate the reliability functions corresponding to each first-layer subsystem based on the reliability functions of all combined heat and power unit components;

[0014] S23: After combining the current-layer subsystems according to the next factor in the factor list, obtain several next-layer subsystems, that is, combine every n a+1 current-layer subsystems to form a next-layer subsystem S a+1 , and calculate the reliability function corresponding to the next-layer subsystem S a based on the reliability function corresponding to the current-layer subsystem S a+1 ;

[0015] S24: Repeat S23 to successively construct subsystems at each layer and calculate the corresponding reliability functions until the reliability function corresponding to the subsystem at the A-1 layer is obtained.

[0016] The reliability function A-1 corresponding to the subsystem at the A-1 layer satisfies the following formula:

[0017]

[0018] where K P,A-1Denote the subsystem S at the A - 1 level A-1 as the number of states, Denote the subsystem S at the A - 1 level A-1 at state the output power considering performance v, where v = 1,..., V; Denote the subsystem S at the A - 1 level A-1 at state as the probability, where V is the number of performances of the cogeneration unit components.

[0019] In the above S22, the calculation process of the reliability function of each subsystem is regarded as a task and assigned to a computing node of the computer. After all computing nodes are assigned or all tasks are assigned to the computer, the computer processes all computing nodes in parallel to achieve the parallel processing of the reliability functions of multiple subsystems.

[0020] In the above S23, the calculation process of the reliability function of each subsystem is regarded as a task and assigned to a computing node of the computer. After all computing nodes are assigned or all tasks are assigned to the computer, the computer processes all computing nodes in parallel to achieve the parallel processing of the reliability functions of multiple subsystems.

[0021] The reliability of the integrated energy supply system satisfies the following formula:

[0022]

[0023] where U P (z) represents the reliability function of the integrated energy supply system represented in the form of UGF; K represents the number of states of the integrated energy supply system; is the output power of the integrated energy supply system considering performance v at state j, where v = 1,..., V; R represents the reliability of the integrated energy supply system with demand (D 1 , D 2 ,..., D v ,..., D V ), D v represents the system demand considering performance v, represents the comparison function of the state and demand of the integrated energy supply system.

[0024] II. A rapid judgment device for the reliability of an integrated energy supply system considering multi - layer acceleration

[0025] Component reliability function generation unit, which is used to establish the reliability functions corresponding to each cogeneration unit component in the integrated energy supply system by using the general generating function method;

[0026] The subsystem reliability function generation unit is used to calculate the subsystem reliability functions of the integrated energy supply system layer by layer according to the reliability functions corresponding to the components of each combined heat and power unit, and finally obtain the reliability function corresponding to the subsystem at the (A - 1)th layer, where A is the number of subsystem layers of the integrated energy supply system;

[0027] The system reliability judgment unit is used to generate the reliability parameters of the integrated energy supply system by using the general generating function method based on the reliability function corresponding to the subsystem at the (A - 1)th layer, and then make a judgment according to the reliability parameters.

[0028] III. A computer device

[0029] The device includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the steps of the method for quickly judging the reliability of an integrated energy supply system considering multi - layer acceleration are implemented.

[0030] IV. A computer - readable storage medium

[0031] The medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for quickly judging the reliability of an integrated energy supply system considering multi - layer acceleration are implemented.

[0032] V. A computer program product

[0033] The product includes a computer program / instructions, and when the computer program / instructions are executed by a processor, the steps of the method for quickly judging the reliability of an integrated energy supply system considering multi - layer acceleration are implemented.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] First of all, the present invention divides the complex integrated energy supply system into multiple relatively independent subsystems at multiple levels. Each subsystem is composed of multiple parallel combined heat and power units. At the subsystem level, parallel technology is used to calculate the reliability functions of each subsystem simultaneously, that is, the calculation process of the reliability functions of the subsystems that is consistent with the number of computer calculation nodes can be completed simultaneously, avoiding the time - accumulation effect of calculating one subsystem by one in traditional reliability calculations.

[0036] Furthermore, the present invention extends the idea of parallel computing to different layers of the entire integrated energy supply system. After obtaining the reliability function of any relatively small subsystem layer, the system can use the reliability data of these subsystems as input to further accelerate the reliability calculation of subsequent higher-level subsystems or the entire system. The combination of this multi-level segmentation strategy and parallel computing technology can progress layer by layer, from local to global, to efficiently complete the reliability assessment of the entire integrated energy supply system, that is, to achieve the role of multi-level acceleration in the reliability judgment of the integrated energy supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is the logic block diagram of the method of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not intended to limit the present invention.

[0039] The present invention proposes a method for quickly judging the reliability of an integrated energy supply system considering multi-level acceleration, as Figure 1 shown, the method includes the following steps:

[0040] First step: Use the universal generating function method (UGF) to establish the reliability function corresponding to each combined heat and power unit component in the integrated energy supply system;

[0041] The first step is specifically as follows:

[0042] The integrated energy supply system is composed of n combined heat and power unit components connected in parallel. The system is considered to be operating reliably if and only if the output power of the system meets certain requirements. This type of structure is usually referred to as a k-out-of-N structure. The number of states of each combined heat and power unit component is l, and the number of performance types is V. The state refers to the different output powers of the combined heat and power unit, and the performance refers to the number of energy types included in the combined heat and power unit, such as electricity, heat, natural gas, etc. The state distributions of each combined heat and power unit component are independent of each other. The reliability of the integrated energy supply system refers to the probability that the output power of the system is greater than or equal to the known system energy demand. The output power of the system is determined by the sum of the output powers of the multi-energy coupling components in the corresponding states. Therefore, the reliability function of the integrated energy supply system and the reliability function of the combined heat and power unit components can be expressed in the form of UGF, and the formula is as follows:

[0043]

[0044] Among them, U P (z) represents the reliability function of the integrated energy supply system expressed in the form of UGF; u i (z) represents the reliability function of a single combined heat and power unit component expressed in the form of UGF; represents the parallel component state mapping function, and in this step, the state mapping from the states of n combined heat and power unit components to the state of the integrated energy supply system can be realized; φ P () represents the parallel operator of V performances, which can realize the combination of component states under different performances; represents the output power of a single combined heat and power unit component i under performance v in state j i , where i = 1,..., n, j i = 1,..., l, v = 1,..., V; represents the probability of a single combined heat and power unit component i in state j i ; K represents the number of states of the integrated energy supply system.

[0045] Step 2: According to the reliability functions corresponding to each combined heat and power unit component, calculate the reliability functions of the subsystems of the large-scale integrated energy supply system level by level, and finally obtain the reliability function corresponding to the subsystem at the (A - 1)th level, where A is the number of subsystem levels of the integrated energy supply system;

[0046] Specifically, Step 2 is as follows:

[0047] S21: After factoring the number n of combined heat and power unit components in the integrated energy supply system, obtain a factor list that satisfies n = n 1 ×n 2 ×…×n a …×n A , where n a is the a-th factor, a = 1,…, A, and A is the number of factors in the factor list and is denoted as the number of subsystem levels of the integrated energy supply system;

[0048] S22: Form a first-level subsystem S1 from every n 1 combined heat and power unit components in the integrated energy supply system, so as to obtain n 2 ×…×n A first-level subsystems, and calculate the reliability functions corresponding to each first-level subsystem based on the reliability functions of all combined heat and power unit components;

[0049] S23: After combining the current-level subsystems according to the next factor in the factor list, obtain several next-level subsystems, that is, form a next-level subsystem S a+1 from every n a+1 current-level subsystems, and calculate the reliability function corresponding to the next-level subsystem S a based on the reliability function corresponding to the current-level subsystem S a+1 ;

[0050] S24: Repeat S23 to successively construct subsystems at each level and calculate the corresponding reliability functions until the reliability function corresponding to the (A - 1)-th level subsystem is obtained.

[0051] According to the UGF technique and the state mapping function of the cogeneration unit components it can be known that the reliability function of the first-level subsystem S 1 satisfies the following formula:

[0052]

[0053] The first-level subsystem S 1 is composed of parallel cogeneration unit components, so its reliability function is determined by the known states of the cogeneration unit components. Since the subsystem is composed of parallel components, the state of the subsystem is related to the sum of the states of the components.

[0054] Among them, represents the reliability function of the subsystem S 1 expressed in the form of UGF; u i (z) represents the reliability function of the i-th cogeneration unit component expressed in the form of UGF; represents the parallel component state mapping function, and in this step, the state mapping from the states of n 1 cogeneration unit components to the state of the subsystem S 1 can be realized; represents the output power considering performance v of the single i-th cogeneration unit component in state j i , i = 1,..., n 1 ; represents the probability of the single i-th cogeneration unit component in state j i ; K P,1 represents the number of states of the first-level subsystem S 1 ; represents the output power considering performance v of the first-level subsystem S 1 in state ; represents the probability of the first-level subsystem S 1 in state ;

[0055] The reliability function of the second-level subsystem S 2 satisfies the following formula:

[0056]

[0057] The second-level subsystem S 2 is composed of n 2 first-level subsystems S1 are connected in parallel, so its reliability function is determined by the reliability function of the first-level subsystem S 1 calculated in the previous step.

[0058] Among them, represents the reliability function of the second-level subsystem S 2 expressed in the form of UGF, represents the reliability function of the first-level subsystem S 1 expressed in the form of UGF, represents the parallel component state mapping function, and in this step, it can realize the state mapping from n 2 first-level subsystems S 1 to the second-level subsystem S 2 ; K P,2 represents the number of states of the second-level subsystem S 2 ; represents the output power considering performance v of the second-level subsystem S 2 in state ; v = 1,..., V; represents the probability of the second-level subsystem S in state 2 ; K P,1 represents the number of states of the first-level subsystem S 1 ; represents the output power of the b-th first-level subsystem S 1 considering performance v in state ; represents the probability of the b-th first-level subsystem S 1 in state ;

[0059] Therefore, repeating continuously, the reliability function A-1 corresponding to the (A - 1)-th level subsystem S satisfies the following formula:

[0060]

[0061] The (A - 1)-th level subsystem S A-1 is composed of n A-1 (A - 2)-th level subsystems S A-2 connected in parallel, so its reliability function is determined by the reliability function of the (A - 2)-th level subsystem S A-2 calculated in the previous step.

[0062] Among them, Denote the subsystem S at the A-1 level represented in the form of UGF A-1 Reliability function Denote the subsystem S at the A-2 level represented in the form of UGF A-2 Reliability function Denote the parallel component state mapping function, in which the state mapping from n A-1 subsystems S at the A-2 level A-2 to the subsystem S at the A-1 level can be realized A-1 ; K P,A-1 Denote the number of states of the subsystem S at the A-1 level A-1 ; Denote the output power considering performance v of the subsystem S at the A-1 level A-1 in state ; v = 1,..., V ; Denote the probability of the subsystem S at the A-1 level A-1 in state ; K P,A-2 Denote the number of states of the subsystem S at the A-2 level A-2 ; Denote the output power of the b-th subsystem S at the A-2 level considering performance v A-2 in state ; Denote the probability of the b-th subsystem S at the i-2 level i-2 in state ;

[0063] The present invention extends the efficient idea of parallel computing to different layers of the entire integrated energy supply system. First, for each lower-level subsystem (i.e., the subsystem composed of parallel combined heat and power systems) that constitutes the integrated energy supply system, especially those subsystems composed of parallel combined heat and power systems - conduct a detailed reliability function analysis, and accordingly establish their respective reliability functions. These functions, as the basic data for system performance evaluation, accurately characterize the stability and reliability characteristics of each subsystem in the independent operation state. Subsequently, the present invention uses the higher-level subsystem as a bridge for parallel computing and introduces a multi-level parallel processing mechanism. Under this mechanism, the previously obtained reliability functions of each lower-level subsystem are used as key input information and are efficiently transmitted to the reliability function calculation of the next level (which may be a higher-level subsystem or the entire system). This process not only makes full use of the speed advantage of parallel computing in processing data but also ensures that the reliability evaluation from the most basic subsystem unit to the entire complex system can be accurately and efficiently executed through a layer-by-layer progressive calculation method, that is, the role of multi-layer acceleration of the reliability judgment of the integrated energy supply system is realized.

[0064] The implementation of this multi - layer parallel computing strategy enables the system to gradually construct the reliability function of the entire integrated energy supply system in a logical order from local to global. The calculation of each level is based on the reliability function of the previous level, and through such multi - level segmentation, the coherence and accuracy of the entire evaluation process are ensured.

[0065] In S22 or S23, the calculation process of the reliability function of each subsystem is regarded as a task and assigned to a computing node of the computer. After all computing nodes are assigned or all tasks are assigned to the computer, the computer processes all computing nodes in parallel (i.e., processes simultaneously), realizing the parallel processing of the reliability functions of multiple subsystems.

[0066] For example, for the reliability function of the first - level subsystem S 1 the computer has m computing nodes, and all m computing nodes can work normally simultaneously to execute the corresponding parallel tasks. The reliability function calculation of the first - level subsystem S 1 composed of every n 1 combined heat and power unit components is regarded as a parallel task. There are a total of n 2 ×n 3 ×…×n A parallel tasks, so a total of times of parallel task allocation and execution are required. First, m subtasks are simultaneously allocated to the parallel computing platform. When the calculations of all m subtasks are completed, the calculation results of each subtask are returned to the main process. Then, m subtasks are simultaneously allocated to the parallel computing platform again to continue executing each subtask and return, and so on. After repeating the operation times, the parallel calculation of the first layer ends. Thus, the originally supposed to be calculated n 2 ×n 3 ×…×n A times of the reliability function of the first - level subsystem S 1 is reduced to calculating times. Through the parallel computing of the computer, the calculation times of the reliability functions of all subsystems S 1 are reduced, that is, the calculation time of the S 1 subsystem is reduced.

[0067] The implementation of the second - stage parallel computing strategy is aimed at the n 2 ×n 3 ×…×n A first - level subsystems S 1 . Every n 2 first - level subsystems S 1 constitute a second - level subsystem S 2 , obtaining n 3 ×…×n An second-level subsystems S 2 , these n 3 ×…×n A second-level subsystems S 2 with reliability functions represented by UGF are calculated in parallel on the computer at the same time. Considering that there are m computing nodes in the computer that can calculate simultaneously, the reliability functions of the second-level subsystems S 3 ×…×n A that should originally be calculated n 2 times are reduced to be calculated times. Through the parallel computing of the computer, the number of calculations of the reliability functions of all subsystems S 2 is reduced, that is, the calculation time of the S 2 subsystem is reduced.

[0068] The implementation of the third parallel computing strategy is aimed at n 3 ×…×n A second-level subsystems S 2 . Every n 3 second-level subsystems S 2 constitute a third-level subsystem S 3 . As a result, n 4 ×…×n A third-level subsystems S 3 are obtained. These n 4 ×…×n A third-level subsystems S 3 with reliability functions represented by UGF are calculated in parallel on the computer at the same time. Considering that there are m computing nodes in the computer, the reliability functions of the third-level subsystems S 4 ×…×n A that should originally be calculated n 3 times are reduced to be calculated times. Through the parallel computing of the computer, the number of calculations of the reliability functions of all subsystems S 3 is reduced, that is, the calculation time of the S 3 subsystem is reduced.

[0069] And so on, until the (A - 1)th layer division. The implementation of the (A - 1)th parallel computing strategy is aimed at n A-1 ×n A (A - 2)th-level subsystems S A-2 . Every n A-1 (A - 2)th-level subsystems S A-2 constitute an (A - 1)th-level subsystem S A-1 . After the (A - 1)th layer division, n A (A - 1)th-level subsystems S A-1 can be obtained. These n AOne subsystem S at the A-1 level A-1 The reliability function represented by UGF of the subsystem S at the A-1 level is calculated in parallel on the computer. Considering that there are m computing nodes in the computer, the originally n A times of calculations for the subsystem S at the A-1 level A-1 The reliability function is reduced to calculating times. Through the parallel computing of the computer, the calculation times of the reliability functions of all subsystems S are reduced A-1 That is, the calculation time of the subsystem S is reduced A-1 The calculation time of the subsystem.

[0070] The present invention avoids the inherent time accumulation effect in traditional serial computing, that is, the calculation of each subsystem must be carried out sequentially, resulting in the problem that the overall calculation time increases with the increase in the number of subsystems. In the parallel computing framework, the calculation of the reliability functions of each subsystem can be carried out in parallel without conflict, thus reducing the overall calculation time of the subsystem. This improvement in computing efficiency accelerates the reliability judgment of the integrated energy supply system. Through parallel processing, not only can the reliability functions of each subsystem be obtained faster, but also these functions can be integrated more efficiently to comprehensively and accurately evaluate the reliability of the entire integrated energy supply system, and further provide strong data support for the optimal design and operation management of the system.

[0071] Step 3: Based on the reliability function corresponding to the subsystem at the A-1 level, use the universal generating function method to generate the reliability parameters of the integrated energy supply system, and make a judgment according to the reliability parameters to determine whether the reliability requirements of the system are met, and take treatment measures for the integrated energy supply system to improve the reliability.

[0072] The reliability of the integrated energy supply system satisfies the following formula:

[0073]

[0074] The integrated energy supply system consists of n A subsystems S at the A-1 level A-1 Therefore, its reliability is determined by the reliability function of the subsystem S at the A-1 level A-1 The reliability function of the subsystem S at the A-1 level.

[0075] Among them, U P (z) represents the reliability function of the integrated energy supply system represented in the form of UGF; Represents the parallel element state mapping function, and in this step, the state mapping from n A subsystems S at the A-1 level A-1 to the state of the integrated energy supply system can be realized; Represents the reliability function of the subsystem S at the A-1 level represented in the form of UGF A-1Reliability function; Denote the b-th subsystem S at the (A - 1)-th level considering performance v A-1 In state The output power under the state, where b = 1,..., n A ; Denote the probability of the b-th subsystem S at the (i - 1)-th level i-1 In state Under the state, K P,A-1 Denote the number of states of the subsystem S at the (A - 1)-th level; K denotes the number of states of the integrated energy supply system; A-1 Is the output power of the integrated energy supply system considering performance v under state j, where v = 1,..., V; R represents the demand as (D 1 , D 2 ,..., D v ,..., D V ,..., D v ) of the integrated energy supply system reliability, D v Denote the system demand considering performance v, Denote the comparison function of the state and demand of the integrated energy supply system.

[0076] The present invention also proposes a rapid reliability judgment device for an integrated energy supply system considering multi-level acceleration, including:

[0077] An element reliability function generation unit, which is used to establish the reliability function corresponding to each element in the integrated energy supply system by using the general generating function method;

[0078] A subsystem reliability function generation unit, which is used to calculate the reliability function of the subsystem layer by layer for the large-scale integrated energy supply system according to the reliability function corresponding to each combined heat and power unit element, and finally obtain the reliability function corresponding to the subsystem at the (A - 1)-th level, where A is the number of subsystem levels of the integrated energy supply system;

[0079] A system reliability judgment unit, which is used to generate the reliability parameters of the integrated energy supply system by using the general generating function method based on the reliability function corresponding to the subsystem at the (A - 1)-th level, and then make a judgment according to the reliability parameters to determine whether the reliability requirements of the system are met, and take treatment measures for the integrated energy supply system to improve the reliability.

[0080]

[0081] The present invention also proposes a computer device, including a memory and a processor. When the processor executes the computer program, it realizes the steps of a rapid reliability judgment method for an integrated energy supply system considering multi-level acceleration.The present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration are implemented.

[0082] The present invention also provides a computer program product, including a computer program / instructions. When the computer program / instructions are executed by a processor, the steps of a method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration are implemented.

[0083] Finally, it should be noted that the above embodiments and descriptions are only used to illustrate the technical solutions of the present invention and not to limit them. Those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced. Without departing from the spirit and scope of the disclosure of the technical solutions of the present invention, they should all be covered by the protection scope of the claims of the present invention.

Claims

1. A method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration, characterized in that: The steps include: Step 1: Use the general generating function method to establish the reliability function corresponding to each cogeneration unit component in the comprehensive energy supply system; Step 2: According to the reliability functions corresponding to the components of each cogeneration unit, the reliability functions of the subsystems of the integrated energy supply system are calculated layer by layer, and finally the reliability functions corresponding to the A-1th level subsystems are obtained, where A is the number of subsystem levels of the integrated energy supply system; Step 3: Based on the reliability function corresponding to the A-1 level subsystem, the reliability parameters of the integrated energy supply system are generated using the general generating function method, and judgment is made based on the reliability parameters.

2. According to claim 1, a method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration is characterized in that: The second step is as follows: S21: After factoring the number n of the cogeneration unit components in the integrated energy supply system, a factor list is obtained, satisfying n = n1×n2×…×n a …×n A , n a is the ath factor, a=1,…,A, A is the number of factors in the factor list and is recorded as the number of subsystem levels of the integrated energy supply system; S22: Every n1 CHP units in the integrated energy supply system form a first-level subsystem S1, thus obtaining n2×…×n A First-level subsystems, based on the reliability functions of all cogeneration unit components, the reliability functions corresponding to each first-level subsystem are calculated respectively; S23: After combining the current level subsystems according to the next factor in the factor list, several next level subsystems are obtained, that is, each n a+1 The current level subsystems form a next level subsystem S a+1 , based on the current level subsystem S a The corresponding reliability function calculates the next level subsystem S a+1 The corresponding reliability function; S24: Repeat S23, construct subsystems at each level in turn and calculate the corresponding reliability functions, until the reliability function corresponding to the A-1th layer subsystem is calculated and obtained.

3. According to claim 1, a method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration is characterized in that: The A-1 level subsystem S A-1 The corresponding reliability function Satisfies the following formula: Among them, K P,A-1 Indicates the A-1 level subsystem S A-1 The number of states, Indicates the A-1 level subsystem S A-1 In Status The output power of the considered performance v, v = 1, ..., V; Indicates the A-1 level subsystem S A-1 In Status The probability of the following is, V is the performance number of the cogeneration unit components.

4. A method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration according to claim 2, characterized in that: In S22, the calculation process of the reliability function of each subsystem is taken as a task and assigned to a computing node of the computer. After all computing nodes are assigned or all tasks are assigned to the computer, the computer processes all computing nodes in parallel to realize parallel processing of reliability functions of multiple subsystems.

5. The method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration according to claim 2 is characterized in that: In S23, the calculation process of the reliability function of each subsystem is taken as a task and assigned to a computing node of the computer. After all computing nodes are assigned or all tasks are assigned to the computer, the computer processes all computing nodes in parallel to realize parallel processing of reliability functions of multiple subsystems.

6. The method for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration according to claim 1 is characterized in that: The reliability of the comprehensive energy supply system satisfies the following formula: Among them, U P (z) represents the reliability function of the integrated energy supply system expressed in the form of UGF; K represents the state number of the integrated energy supply system; is the output power of the integrated energy supply system with performance v under state j, v = 1, ..., V; R represents the demand (D 1 ,D 2 ,...,D v ,...,D V ) comprehensive energy supply system reliability, D v represents the system requirements considering performance v, A comparison function representing the state and demand of the integrated energy supply system.

7. A device for quickly judging the reliability of a comprehensive energy supply system considering multi-layer acceleration, characterized in that: include: A component reliability function generation unit, used to establish the reliability function corresponding to each cogeneration unit component in the comprehensive energy supply system by using a general generation function method; The subsystem reliability function generating unit is used to calculate the subsystem reliability function of the integrated energy supply system layer by layer according to the reliability function corresponding to each cogeneration unit component, and finally obtain the reliability function corresponding to the A-1th level subsystem, where A is the number of subsystem levels of the integrated energy supply system; The system reliability judgment unit is used to generate reliability parameters of the comprehensive energy supply system based on the reliability function corresponding to the A-1 level subsystem by using a general generating function method, and then make judgments based on the reliability parameters.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for quickly judging the reliability of an integrated energy supply system considering multi-layer acceleration as described in any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for quickly judging the reliability of an integrated energy supply system taking into account multi-layer acceleration as described in any one of claims 1 to 6 are implemented.

10. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instruction is executed by a processor, the steps of a method for quickly judging the reliability of an integrated energy supply system taking into account multi-layer acceleration as described in any one of claims 1 to 6 are implemented.

Images