Consider transmission and sharing dynamic optimization integrated energy supply system reliability detection method, device and computer equipment

Abstract

The application discloses a kind of integrated energy supply system reliability detection method, device and computer equipment considering transmission and sharing dynamic optimization, comprising the following steps: first, the state of each multi-energy coupling element and each transmission device in integrated energy supply system is sampled, the state of all multi-energy coupling elements corresponding to several sampling operation scenarios and the state of transmission device are obtained;Then, the energy sharing amount between multi-energy coupling elements is optimized, and the optimal energy sharing amount between different multi-energy coupling elements under the current sampling operation scenario is obtained;Iterative calculation of the remaining sampling operation scenario, obtain the optimal energy sharing amount between different multi-energy coupling elements under all sampling operation scenarios;Finally, the reliability of the current integrated energy supply system is generated according to the optimal energy sharing amount between different multi-energy coupling elements under all sampling operation scenarios.The application improves the accuracy of integrated energy supply system reliability detection, and provides a scientific basis for subsequent planning and design and operation scheduling.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy supply systems, and specifically relates to a method, apparatus, and computer equipment for reliability testing of integrated energy supply systems that considers dynamic optimization of transmission and sharing. Background Technology

[0002] An integrated energy supply system consists of multiple multi-energy coupling elements, which are components capable of converting and transferring two or more forms of energy. For example, a combined heat and power (CHP) unit is a typical multi-energy coupling element. The reliability of an integrated energy supply system can be described as its ability to continuously supply users with a stable and consistent supply of various types of energy that meet quality standards within a set time period and operating conditions, thereby satisfying the users' actual energy needs. Reliability testing provides crucial reference data for the early planning and design, as well as the later operation and scheduling of the integrated energy supply system.

[0003] To improve the reliability of integrated energy supply systems, different multi-energy coupled components can often meet the load's energy demand by mutually transmitting the same type of energy output, i.e., energy sharing. The same type of energy output transmitted between different multi-energy coupled components is called the energy sharing amount. However, in traditional reliability testing methods, the energy sharing amount of multi-energy coupled components is often modeled as a fixed value, without considering the changes in the energy sharing amount of multi-energy coupled components under different states, nor is it considered from the perspective of improving energy utilization efficiency and dynamically optimizing the energy demand of the corresponding load. This makes it impossible to accurately assess the reliability of systems with multi-energy, multi-state characteristics and dynamic changes in energy sharing.

[0004] Meanwhile, traditional reliability testing methods do not fully consider the synergistic optimization effect of energy sharing mechanisms and transmission limitations, and ignore the fact that the transmission capacity constraints of transmission devices will vary under different states, resulting in inaccurate reliability testing results. Summary of the Invention

[0005] To address the problems and needs existing in the background technology, this invention proposes a method, apparatus, and computer device for reliability testing of integrated energy supply systems that considers dynamic optimization of transmission and sharing. Based on the energy shareability of multi-energy coupling elements in each state and the energy transmission power of the transmission device in different states, this invention dynamically optimizes the energy sharing among various multi-energy coupling elements in the integrated energy supply system to obtain the optimal energy sharing of multi-energy coupling elements in different states; finally, it performs reliability testing of the integrated energy supply system considering transmission limitations and dynamic optimization of energy sharing.

[0006] The technical solution of the present invention is as follows:

[0007] I. A reliability testing method for integrated energy supply systems considering dynamic optimization of transmission and sharing

[0008] Step 1: Obtain the connection structure of the multi-energy coupling components and transmission devices within the integrated energy supply system, as well as the status of the multi-energy coupling components and transmission devices;

[0009] Step 2: Sample the status of each multi-energy coupling element and each transmission device in the integrated energy supply system to obtain the status of all multi-energy coupling elements and transmission devices corresponding to several sampled operating scenarios.

[0010] Step 3: Based on the state of all multi-energy coupling elements and the state of the transmission device in each sampling operation scenario, optimize the energy sharing among multi-energy coupling elements to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario; traverse and calculate the remaining sampling operation scenarios to obtain the optimal energy sharing among different multi-energy coupling elements in all sampling operation scenarios;

[0011] Step 4: Generate the reliability of the current integrated energy supply system based on the optimal energy sharing among different multi-energy coupling components under all sampled operating scenarios.

[0012] In the second step, the Monte Carlo simulation method is used to sample the state of each multi-energy coupling element and each transmission device in the integrated energy supply system.

[0013] In the third step, based on the states of all multi-energy coupling elements and the transmission device in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including:

[0014] An optimization objective is constructed, and combined with the state of all multi-energy coupling elements and the state of the transmission device under each sampling operation scenario, the energy sharing between multi-energy coupling elements and the actual output power of multi-energy coupling elements are optimized to obtain the optimal energy sharing between different multi-energy coupling elements in the current integrated energy supply system under the current sampling operation scenario.

[0015] The optimization objective F satisfies the following formula:

[0016]

[0017] in, Indicates production capacity cost, Indicates shared costs, This represents the cost of load shedding. This represents the unit production cost of energy type v. For the multi-energy coupling element i, the actual output power after considering energy type v and sharing is taken into account in the current sampling operation scenario; Indicates the unit sharing cost of energy type v; This represents the unit load shedding cost considering energy type v; For component runtime; This indicates that in the current sampling operation scenario, multi-energy coupled element i considers energy type v and shares energy with other elements. Energy sharing volume; This represents the load shedding amount of the multi-energy coupling element i considering energy type v under the current sampling operation scenario.

[0018] During the optimization process, the actual output power of the multi-energy coupling element satisfies the output power constraint, as shown in the following formula:

[0019]

[0020] in, and These represent the energy output power and maximum energy output power of the multi-energy coupling element i under the current sampling operation scenario, considering energy type v.

[0021] During the optimization process, the energy sharing among multi-energy coupled components satisfies the constraints of shared transmission and shareable quantity, as shown in the following formula:

[0022]

[0023] in, This represents the amount of energy that a multi-energy coupled element i can share, considering energy type v, under the current sampling operation scenario. Represents multi-energy coupling element i and multi-energy coupling element The transmission device between them considers the energy transmission power of energy type v under the current sampling operation scenario.

[0024] In the third step, based on the states of all multi-energy coupling elements and the transmission device in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including:

[0025] Based on the states of all multi-energy coupling elements and the state of the transmission device under each sampling operation scenario, a multi-energy multi-state energy sharing model is constructed for each multi-energy coupling element to calculate the energy shareable amount of the multi-energy coupling element under different states; the multi-energy multi-state energy sharing model includes the energy surplus, energy shortage and energy redundancy of all multi-energy coupling elements.

[0026] During the optimization process, energy sharing among multi-energy coupled components satisfies the energy sharing sequence, specifically including:

[0027] When a multi-energy coupling element has insufficient energy of energy type v, it shall first call its own energy redundancy of energy type v to make up for the shortfall. If the multi-energy coupling element still cannot meet its own load energy demand after calling its own energy redundancy of energy type v, it shall share energy with other multi-energy coupling elements of the same energy type.

[0028] II. A reliability testing device for an integrated energy supply system considering dynamic optimization of transmission and sharing.

[0029] The data acquisition unit is used to acquire the connection structure of the multi-energy coupling elements and transmission devices within the integrated energy supply system, as well as the status of the multi-energy coupling elements and transmission devices.

[0030] The sampling unit is used to sample the state of the integrated energy supply system, obtain several sampled operating scenarios and the states of all corresponding multi-energy coupling components and transmission devices;

[0031] The optimization unit is used to optimize the energy sharing among multi-energy coupling elements based on the state of all multi-energy coupling elements and the state of the transmission device in each sampling operation scenario, so as to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario.

[0032] The reliability generation unit is used to generate the reliability of the current integrated energy supply system based on the optimal energy sharing among different multi-energy coupled components under all sampled operating scenarios.

[0033] III. A computer device

[0034] The computer device includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the steps of the integrated power supply system reliability detection method that considers dynamic optimization of transmission and sharing.

[0035] The beneficial effects of this invention are:

[0036] Compared to existing methods, the method proposed in this invention quantifies the energy shareability of components under different states, and also considers the transmission limitations of transmission devices, dynamically optimizing the energy shareability among various multi-energy coupled components of the integrated energy supply system, thereby achieving a dual improvement in the reliability and economy of the integrated energy supply system. Attached Figure Description

[0037] Figure 1 This is a flowchart of the method of the present invention.

[0038] Figure 2 This is a logic block diagram of the running scenario sampling.

[0039] Figure 3 This is a logic diagram for solving the optimal energy sharing.

[0040] Figure 4 This is a schematic diagram of the integrated energy supply system. Detailed Implementation

[0041] 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 for illustration and explanation only and are not intended to limit the present invention.

[0042] To enable those skilled in the art to better understand the present invention and to more clearly define the scope of protection of the present invention, the present invention will be described in detail below with reference to certain specific embodiments and accompanying drawings. It should be noted that the following are only some specific embodiments of the present invention, and are merely a part of the embodiments of the present invention. The specific and direct descriptions of related structures are only for the convenience of understanding the present invention, and the specific features do not necessarily or directly limit the scope of the present invention. Conventional selections and substitutions made by those skilled in the art under the guidance of the present invention, as well as reasonable arrangements and combinations of several technical features under the guidance of the present invention, should all be considered within the scope of protection of the present invention.

[0043] like Figure 1 As shown, the reliability testing method for an integrated power supply system considering dynamic optimization of transmission and sharing proposed in this invention includes the following steps:

[0044] Step 1: The integrated energy supply system contains multiple multi-energy coupling elements and transmission devices. Obtain the specific connection structure of the multi-energy coupling elements and transmission devices inside the integrated energy supply system, as well as the status of the multi-energy coupling elements and transmission devices.

[0045] Specifically, such as Figure 4 As shown, the integrated energy supply system has n multi-energy coupling elements. These elements include combined heat and power (CHP) units, heat pumps, etc., and possess multi-energy, multi-state characteristics. A state refers to the output power of the multi-energy coupling element, and multiple states mean that in addition to perfect operation and complete failure, the element also exists in operating states between these two states. Multiple energy sources mean that each state of the multi-energy coupling element requires multiple energy types to represent. For example, a CHP unit can output power from both electrical and thermal energy; therefore, each state of the CHP unit needs to be represented by both electrical and thermal energy types. Each multi-energy coupling element has M+1 states, and each state requires V energy parameters to represent it. Let i represent the probability of multi-energy coupling element i in state j. The energy output power of multi-energy coupling element i in state j, considering energy type v, is expressed as: , , , This represents the energy output power of multi-energy coupled element i in state j, considering energy type 1. These represent the energy output power of multi-energy coupling element i under state j considering energy type 2 and the energy output power of multi-energy coupling element i under state j considering energy type V, respectively.

[0046] Step 2: As Figure 2 As shown, the Monte Carlo simulation method is used to sample the states of various multi-energy coupling components and transmission devices in the integrated energy supply system, obtaining the states of all multi-energy coupling components and transmission devices corresponding to several sampled operating scenarios; specifically, the total number of samplings in the Monte Carlo simulation method is N. s That is, a total of N were obtained. s Each sampling operation scenario.

[0047] Step 3: Based on the state of all multi-energy coupling elements and the state of the transmission device in each sampling operation scenario, optimize the energy sharing among multi-energy coupling elements to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario; traverse and calculate the remaining sampling operation scenarios to obtain the optimal energy sharing among different multi-energy coupling elements in all sampling operation scenarios.

[0048] One feasible implementation method is, for example Figure 3 As shown, based on the states of all multi-energy coupling elements and the transmission device in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including:

[0049] In the current sampling operation scenario, the energy output power of each multi-energy coupling element (i.e., the state of the multi-energy coupling element), the maximum energy output power of each multi-energy coupling element, the energy share of each multi-energy coupling element, the energy demand of the load corresponding to each multi-energy coupling element, and the energy transmission power of each transmission device (i.e., the state of the transmission device) are known.

[0050] An optimization objective is constructed. Based on this objective and the states of all multi-energy coupling elements and transmission devices under each sampling operation scenario, a genetic algorithm is used to optimize the energy sharing among multi-energy coupling elements and the actual output power of multi-energy coupling elements, thereby obtaining the optimal energy sharing among different multi-energy coupling elements in the current integrated energy supply system under the current sampling operation scenario.

[0051] The optimization objective F satisfies the following formula:

[0052]

[0053] in, Indicates production capacity cost, Indicates shared costs, This represents the cost of load shedding. This represents the unit production cost of energy type v. For the multi-energy coupling element i, the actual output power after considering energy type v and sharing is taken into account in the current sampling operation scenario; Indicates the unit sharing cost of energy type v; This represents the unit load shedding cost considering energy type v; For component runtime; This indicates that in the current sampling operation scenario, multi-energy coupled element i considers energy type v and shares energy with other elements. Energy sharing volume; This represents the load shedding amount of the multi-energy coupling element i considering energy type v under the current sampling operation scenario.

[0054] During the optimization process, the actual output power of the multi-energy coupling element satisfies the output power constraint, as shown in the following formula:

[0055]

[0056] in, and These represent the energy output power and maximum energy output power of the multi-energy coupling element i under the current sampling operation scenario, considering energy type v.

[0057] In a certain sampling operation scenario, the actual output power of the multi-energy coupling element i, considering energy type v and its sharing, is expressed as: When the maximum energy output power of multi-energy coupling element i considering energy type v in the sampling scenario is greater than or equal to the energy demand of its corresponding load, the actual output power of multi-energy coupling element i considering energy type v and sharing in the sampling scenario is... for:

[0058]

[0059] in, This indicates that the multi-energy coupling element i, in this sampling scenario, considers the energy type v through the transmission device. Shared to components Energy sharing volume.

[0060] When the maximum energy output power of the multi-energy coupling element i considering energy type v in this sampling scenario is less than the energy demand of its corresponding load, the actual output power of the multi-energy coupling element i considering energy type v and sharing in this sampling scenario is:

[0061]

[0062] in, This represents the maximum energy output power of the multi-energy coupling element i in this scenario, considering energy type v.

[0063] Considering that even after components share the same type of energy, the load energy demand may still not be met, a portion of the load needs to be cut off to ensure reliable system operation. Therefore, the load shedding amount of multi-energy coupled component i considering energy type v in this sampling scenario can be expressed as:

[0064]

[0065] in, Indicator element In this sampling scenario, energy type v is considered to pass through the transmission device. The amount of energy shared with the multi-energy coupling element i.

[0066] During the optimization process, the energy sharing among multi-energy coupled components satisfies the constraints of shared transmission and shareable quantity, as shown in the following formula:

[0067]

[0068] in, This represents the amount of energy that can be shared by the multi-energy coupling element i considering energy type v in the current sampling operation scenario, which is a known amount in the current sampling operation scenario. Represents multi-energy coupling element i and multi-energy coupling element The transmission device between them considers the energy transmission power of energy type v under the current sampling operation scenario, which is a known quantity under the current sampling operation scenario.

[0069] In the third step, based on the states of all multi-energy coupling elements and transmission devices in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including:

[0070] Based on the states of all multi-energy coupling elements and transmission devices under each sampling operation scenario, a multi-energy multi-state energy sharing model is constructed for each multi-energy coupling element to calculate the energy shareable amount of the multi-energy coupling element under different states. The multi-energy multi-state energy sharing model includes the energy surplus, energy shortage, and energy redundancy of all multi-energy coupling elements.

[0071] Energy surplus refers to the situation where the output power of multi-energy coupling element i in state j, considering energy type v, is greater than the load energy demand of multi-energy coupling element i in state j, considering energy type v. In this case, the output power of multi-energy coupling element i in state j, considering energy type v, is considered to have a surplus, and the energy surplus of multi-energy coupling element i in state j, considering energy type v, can be used... express:

[0072]

[0073] in, This represents the load energy demand of multi-energy coupled element i in state j, considering energy type v. , This indicates the available energy surplus of multi-energy coupled element i in state j, considering energy type 1. This indicates the available energy surplus of the multi-energy coupled element i in state j, considering energy type V.

[0074] Energy insufficiency refers to the situation where the energy output power of multi-energy coupling element i in state j, considering energy type v, cannot meet the load energy demand of multi-energy coupling element i in state j, considering energy type v. In such cases, multi-energy coupling element i in state j is considered to have insufficient energy output power considering energy type v. The energy insufficiency of multi-energy coupling element i in state j, considering energy type v, is... express, :

[0075]

[0076] Energy redundancy refers to the energy output power of multi-energy coupling element i in state j, considering energy type v, which does not exceed the maximum output power of multi-energy coupling element i in state j, considering energy type v. In this case, energy redundancy is considered to exist in multi-energy coupling element i in state j, considering energy type v. The energy redundancy of multi-energy coupling element i in state j, considering energy type v, is... express:

[0077]

[0078] in, This represents the energy shortage of multi-energy coupling element i in state j, considering energy type 1. This represents the energy deficiency of multi-energy coupled element i in state j, considering energy type V. This represents the maximum output power of the multi-energy coupling element i in state j, considering energy type v. ; This represents the energy redundancy of multi-energy coupling element i in state j, considering energy type 1. This represents the energy redundancy of the multi-energy coupled element i in state j, considering energy type V.

[0079] Energy sharing refers to the practice in an integrated energy supply system where multi-energy coupled components, when their own energy output power meets the energy demand of their corresponding loads, share excess energy output power with components that do not. The energy output power of the same energy type shared among different multi-energy coupled components is called the energy sharing amount. For example, both combined heat and power (CHP) units and heat pumps can generate heat energy. When the heat output power of a CHP unit cannot meet the energy demand of its corresponding load, the heat output power of a heat pump can be transferred to the CHP unit through a transmission device, effectively increasing the heat output power of the CHP unit so that it meets the energy demand of its corresponding load, thereby improving system reliability.

[0080] Energy shareability refers to the maximum energy output power that a multi-energy coupled element can share with a specified element. The energy deficit, energy surplus, and energy redundancy of an element will differ in different states, and consequently, the energy shareability of the element will also change accordingly. Therefore, based on the aforementioned energy surplus, energy deficit, and energy redundancy of the multi-energy coupled element in different states, a multi-energy, multi-state energy sharing model for the multi-energy coupled element is constructed to calculate the energy shareability of the multi-energy coupled element in different states.

[0081] During the optimization process, energy sharing among multi-energy coupled components satisfies the energy sharing sequence, specifically including:

[0082] Only multi-energy coupling elements of the same energy type share energy. When a multi-energy coupling element has insufficient energy of energy type v, it first uses its own energy redundancy of energy type v to make up the difference. If the energy demand of its load is still not met after using its own energy redundancy of energy type v, it then shares energy with other multi-energy coupling elements of the same energy type. The transmission device between two multi-energy coupling elements is available, meaning the transmission device is in a non-complete failure state.

[0083] Specifically:

[0084] If the multi-energy coupling element i has insufficient energy output power considering energy type v under state j... A multi-energy coupling element can compensate for insufficient energy by utilizing its own energy redundancy in state j, considering energy type v. If the multi-energy coupling element's own energy redundancy can meet the load's energy demand, then the shareable energy of multi-energy coupling element i in state j, considering energy type v, is: .

[0085] If the multi-energy coupling element still cannot meet the load's energy demand after utilizing its own energy redundancy, then the shareable energy of energy type v for multi-energy coupling element i in state j is 0, i.e. The multi-energy coupling element i needs to obtain energy from other multi-energy coupling elements with the same energy type and a non-zero energy share through energy sharing to meet the load's energy requirements.

[0086] If the multi-energy coupling element i has an energy surplus in energy type v under state j... Multi-energy coupling element i can share its excess energy with other multi-energy coupling elements of the same energy type that have insufficient energy, thereby meeting the load's energy requirements. Consider the energy redundancy of the multi-energy coupling element itself in state j, taking energy type v into account. The energy shareability of a multi-energy coupled element i in state j, considering energy type v, can be expressed as: .

[0087] Each of the two multi-energy coupling elements is equipped with a transmission device for energy sharing, from multi-energy coupling element i to multi-energy coupling element i. Transmission devices for energy sharing express, Represents a multi-energy coupling element If there is insufficient energy for energy type v, and even after utilizing its own energy redundancy, the energy demand of the load considering energy type v is still insufficient, and the multi-energy coupling element i has shareable energy for energy type v, then the multi-energy coupling element i can be connected via a transmission device. The excess shareable energy of energy type v is shared with the multi-energy coupling element. .

[0088] Transmission device There are (M+1) states. The state of the transmission device represents its different energy transmission power, and each state needs to be described by V energy types. Indicates transmission device In state The probability of transmission device In state Considering energy type The energy transmission power is Among them, the transmission device and transmission device For the same transmission device, the status parameters are consistent. , , For transmission device In state Considering the energy transmission power of energy type 1, For transmission device In state Considering the energy transmission power of energy type 2, For transmission device In state Consider the energy transmission power of energy type V.

[0089] like In a completely faulty state, consider the energy transmission power of energy type v. Then, multi-energy coupling element i cannot transfer the shareable energy of energy type v to the multi-energy coupling element. ;like Considering the energy transmission power of energy type v is in other states Then, the multi-energy coupling element i can transfer the shareable amount of energy with respect to energy type v to the multi-energy coupling element. .

[0090] Step 4: Generate the reliability of the current integrated energy supply system based on the optimal energy sharing among different multi-energy coupling components under all sampled operating scenarios.

[0091] The fourth step is as follows:

[0092] Based on the optimal energy sharing among different multi-energy coupling components under all sampled operating scenarios, the energy deficit of the current integrated energy supply system in different sampled operating scenarios after energy sharing is generated. Based on the energy deficit in all sampled operating scenarios, the reliability of the integrated energy supply system is generated. The formula for calculating the reliability R of the integrated energy supply system is as follows:

[0093]

[0094] in, Indicates the sampling order; Representing 0-1 variables; after shared optimization, when multi-energy coupled elements i Considering that the energy deficit for all energy types is simultaneously zero, Take 1; otherwise, Set to 0; Represents AND operation.

[0095] The reliability of integrated energy supply systems composed of different numbers of multi-energy coupling components is tested, taking into account transmission limitations and dynamic optimization of energy sharing. The reliability of integrated energy supply systems considering transmission limitations and dynamic optimization of energy sharing is compared with that of integrated energy supply systems not considering these limitations and optimizations.

[0096] For integrated power supply systems composed of 10, 20, 30, and 40 multi-energy coupling elements, the system reliability and total operating cost of these integrated functional systems were calculated using the method proposed in this invention and conventional methods. The comparison results are shown in Table 1. Table 1 shows that the method proposed in this invention significantly improves system reliability and reduces total operating costs.

[0097] Table 1. Comparison of Reliability and Total Operating Cost between the Method Proposed in This Invention and Traditional Methods

[0098]

[0099] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0100] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0101] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing, characterized in that, Includes the following steps: Step 1: Obtain the connection structure of the multi-energy coupling components and transmission devices within the integrated energy supply system, as well as the status of the multi-energy coupling components and transmission devices; Step 2: Sample the status of each multi-energy coupling element and each transmission device in the integrated energy supply system to obtain the status of all multi-energy coupling elements and transmission devices corresponding to several sampled operating scenarios. Step 3: Based on the state of all multi-energy coupling elements and the state of the transmission device in each sampling operation scenario, optimize the energy sharing among multi-energy coupling elements to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario; The remaining sampled operation scenarios are traversed and calculated to obtain the optimal energy sharing among different multi-energy coupling elements under all sampled operation scenarios; Step 4: Generate the reliability of the current integrated energy supply system based on the optimal energy sharing among different multi-energy coupling components under all sampled operating scenarios.

2. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing as described in claim 1, characterized in that, In the second step, the Monte Carlo simulation method is used to sample the state of each multi-energy coupling element and each transmission device in the integrated energy supply system.

3. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing as described in claim 1, characterized in that, In the third step, based on the states of all multi-energy coupling elements and the transmission device in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including: An optimization objective is constructed, and combined with the state of all multi-energy coupling elements and the state of the transmission device under each sampling operation scenario, the energy sharing between multi-energy coupling elements and the actual output power of multi-energy coupling elements are optimized to obtain the optimal energy sharing between different multi-energy coupling elements in the current integrated energy supply system under the current sampling operation scenario.

4. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing according to claim 3, characterized in that, The optimization objective F satisfies the following formula: in, Indicates production capacity cost. Indicates shared costs, This represents the cost of load shedding. This represents the unit production cost of energy type v. For the multi-energy coupling element i, the actual output power after considering energy type v and sharing is taken into account in the current sampling operation scenario; Indicates the unit sharing cost of energy type v; This represents the unit load shedding cost considering energy type v; For component runtime; This indicates that in the current sampling operation scenario, multi-energy coupled element i considers energy type v and shares energy with other elements. Energy sharing volume; This represents the load shedding amount of the multi-energy coupling element i considering energy type v under the current sampling operation scenario.

5. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing according to claim 3, characterized in that, During the optimization process, the actual output power of the multi-energy coupling element satisfies the output power constraint, as shown in the following formula: in, and These represent the energy output power and maximum energy output power of the multi-energy coupling element i under the current sampling operation scenario, considering energy type v.

6. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing according to claim 3, characterized in that, During the optimization process, the energy sharing among multi-energy coupled components satisfies the constraints of shared transmission and shareable quantity, as shown in the following formula: in, This represents the amount of energy that a multi-energy coupled element i can share, considering energy type v, under the current sampling operation scenario. Represents multi-energy coupling element i and multi-energy coupling element The transmission device between them considers the energy transmission power of energy type v under the current sampling operation scenario.

7. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing according to claim 3, characterized in that, In the third step, based on the states of all multi-energy coupling elements and the transmission device in each sampling operation scenario, the energy sharing among multi-energy coupling elements is optimized to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario, including: Based on the states of all multi-energy coupling elements and the state of the transmission device under each sampling operation scenario, a multi-energy multi-state energy sharing model is constructed for each multi-energy coupling element to calculate the energy shareable amount of the multi-energy coupling element under different states; the multi-energy multi-state energy sharing model includes the energy surplus, energy shortage and energy redundancy of all multi-energy coupling elements.

8. The reliability testing method for an integrated energy supply system considering dynamic optimization of transmission and sharing according to claim 3, characterized in that, During the optimization process, energy sharing among multi-energy coupled components satisfies the energy sharing sequence, specifically including: When a multi-energy coupling element has insufficient energy of energy type v, it shall first call its own energy redundancy of energy type v to make up for the shortfall. If the multi-energy coupling element still cannot meet its own load energy demand after calling its own energy redundancy of energy type v, it shall share energy with other multi-energy coupling elements of the same energy type.

9. A reliability testing device for an integrated energy supply system considering dynamic optimization of transmission and sharing, characterized in that, include: The data acquisition unit is used to acquire the connection structure of the multi-energy coupling elements and transmission devices within the integrated energy supply system, as well as the status of the multi-energy coupling elements and transmission devices. The sampling unit is used to sample the state of the integrated energy supply system, obtain several sampled operating scenarios and the states of all corresponding multi-energy coupling components and transmission devices; The optimization unit is used to optimize the energy sharing among multi-energy coupling elements based on the state of all multi-energy coupling elements and the state of the transmission device in each sampling operation scenario, so as to obtain the optimal energy sharing among different multi-energy coupling elements in the current sampling operation scenario. The reliability generation unit is used to generate the reliability of the current integrated energy supply system based on the optimal energy sharing among different multi-energy coupled components under all sampled operating scenarios.

10. 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 integrated power supply system reliability detection method that considers dynamic optimization of transmission and sharing as described in any one of claims 1 to 8.

Images