An analysis method and device for the source-network-load-storage of an integrated transportation and energy microgrid

Abstract

The present invention relates to the technical field of energy and power, and particularly to an analysis method for the source-network-load-storage of an integrated transportation and energy microgrid. The target data and operation upper limit of the highway transportation and energy system are initialized; wherein, the highway transportation and energy system is used to perform self-consistent analysis of the source-network-load-storage of the microgrid system mainly composed of highway service areas. Then, based on the electric vehicle charging power, the total power and power state of the microgrid of the highway transportation and energy system are calculated. Finally, based on the target data, operation upper limit, total power of the microgrid and power state, the operation requirements of the highway transportation and energy system are analyzed. Therefore, the above technical solution can solve the problem that the current analysis of the power supply capacity, traffic flow load capacity and energy storage demand for service areas is not perfect enough.

Description

Technical Field

[0001] The present invention relates to the field of energy and power, and particularly to an analysis method and device for the source-network-load-storage of an integrated transportation and energy microgrid. Background Art

[0002] As the most convenient and efficient transportation infrastructure, road transportation accounts for more than 85% of the national transportation emissions. At the same time, the booming development of new energy vehicles has brought higher requirements for the electricity load on highways. The development of a microgrid in the road transportation and energy system can organically combine primary equipment such as distributed photovoltaics, electricity loads, and energy storage systems and their control systems to form an orderly local power supply microgrid, thus forming a self-consistent system that can self-control, protect, and manage. However, at present, the analysis of the power supply capacity, traffic flow load capacity, and energy storage demand of service areas is not perfect enough.

[0003] Therefore, the present invention proposes an analysis method and device for the source-network-load-storage of an integrated transportation and energy microgrid to solve the problem that the current analysis of the power supply capacity, traffic flow load capacity, and energy storage demand of service areas is not perfect enough. Summary of the Invention

[0004] The present invention describes an analysis method and device for the source-network-load-storage of an integrated transportation and energy microgrid, which can solve the problem that the current analysis of the power supply capacity, traffic flow load capacity, and energy storage demand of service areas is not perfect enough.

[0005] According to a first aspect, the present invention provides an analysis method for the source-network-load-storage of an integrated transportation and energy microgrid, the method comprising:

[0006] Initializing and setting target data and an operation upper limit of a road transportation and energy system; wherein, the road transportation and energy system is used for performing a self-consistent analysis of source-network-load-storage on a microgrid system mainly composed of a highway service area;

[0007] Calculating a total microgrid power and an electricity state of the road transportation and energy system based on an electric vehicle charging power;

[0008] Analyzing an operation demand of the road transportation and energy system based on the target data, the operation upper limit, the total microgrid power, and the electricity state.

[0009] According to a second aspect, an analysis device for the source-network-load-storage of an integrated transportation and energy microgrid, the device comprising:

[0010] An initial unit configured to initialize and set target data and an operation upper limit of a road transportation and energy system; wherein, the road transportation and energy system is used for performing a self-consistent analysis of source-network-load-storage on a microgrid system mainly composed of a highway service area;

[0011] A calculation unit, configured to calculate the total power and power state of the microgrid of the highway transportation and energy system based on the charging power of the electric vehicle;

[0012] An analysis unit, configured to analyze the operation requirements of the highway transportation and energy system based on the target data, the operation upper limit, the total power of the microgrid, and the power state.

[0013] In a third aspect, an embodiment of the present specification further provides an electronic device, including a memory and a processor. A computer program is stored in the memory, and when the processor executes the computer program, the method described in any embodiment of the present specification is implemented.

[0014] In a fourth aspect, an embodiment of the present specification further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is made to execute the method described in any embodiment of the present specification.

[0015] According to an analysis method and device for a transportation and energy integrated microgrid source-network-load-storage provided by the present invention, the target data and operation upper limit of the highway transportation and energy system are initialized. Among them, the highway transportation and energy system is used to perform self-consistent analysis of source-network-load-storage for a microgrid system mainly composed of a highway service area. Then, based on the charging power of the electric vehicle, the total power and power state of the microgrid of the highway transportation and energy system are calculated. Finally, based on the target data, the operation upper limit, the total power of the microgrid, and the power state, the operation requirements of the highway transportation and energy system are analyzed. Therefore, the above technical solution can solve the problem that the current analysis of the power supply capacity, traffic flow load capacity, and energy storage demand for the service area is not perfect enough. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0017] Figure 1 Shows a schematic flowchart of an analysis method for a transportation and energy integrated microgrid source-network-load-storage according to an embodiment;

[0018] Figure 2 Shows a schematic block diagram of an analysis device for a transportation and energy integrated microgrid source-network-load-storage according to an embodiment;

[0019] Figure 3 Shows an overall flowchart of an analysis method for a transportation and energy integrated microgrid source-network-load-storage according to an embodiment;

[0020] Figure 4 Shows a practical schematic diagram of an analysis method for the source-network-load-storage of an integrated transportation and energy microgrid according to an embodiment. Detailed implementation manners

[0021] To make the objectives, technical solutions, and advantages of the embodiments of this specification clearer, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings in the embodiments of this specification. Obviously, the described embodiments are some but not all of the embodiments of this specification. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this specification without creative efforts shall fall within the protection scope of this specification.

[0022] Please refer to Figure 1 , which shows a flowchart of an analysis method for the source-network-load-storage of an integrated transportation and energy microgrid according to an embodiment. It can be understood that this method can be executed by any device, equipment, platform, or device cluster with computing and processing capabilities. As Figure 1 shown, this method includes:

[0023] Step 100: Initialize and set the target data and operation upper limit of the highway transportation and energy system; wherein, the highway transportation and energy system is used to perform self-consistent analysis of the source-network-load-storage for the microgrid system with the highway service area as the main body;

[0024] Step 102: Calculate the total microgrid power and power state of the highway transportation and energy system based on the electric vehicle charging power;

[0025] Step 104: Analyze the operation requirements of the highway transportation and energy system based on the target data, operation upper limit, total microgrid power, and power state.

[0026] In this embodiment, by initializing and setting the target data and operation upper limit of the highway transportation and energy system; wherein, the highway transportation and energy system is used to perform self-consistent analysis of the source-network-load-storage for the microgrid system with the highway service area as the main body, then, calculating the total microgrid power and power state of the highway transportation and energy system based on the electric vehicle charging power, and finally, analyzing the operation requirements of the highway transportation and energy system based on the target data, operation upper limit, total microgrid power, and power state. Therefore, the above technical solution can solve the problem that the current analysis of the power supply capacity, traffic flow load capacity, and energy storage demand for the service area is not perfect enough.

[0027] Such as Figure 3As shown, in some embodiments, the method sets seasons according to the load, traffic flow, characteristics of the load change of electric vehicles, and the impact of new energy power generation in different seasons, clarifies seasonal impact factors and new energy power generation curves, and then sets a given time step to generate the load amount at the time series position corresponding to each step. Finally, through sensitivity analysis, the initial values of the energy storage capacity, the predicted peak of the electric vehicle load, and the new energy output are changed at a certain step in each cycle to analyze whether the source-load balance of the system and the energy storage ratio are sufficient under different loads and power generations.

[0028] By adjusting the iteration amount and the change step of each variable, the self-consistency of the source-network-load-storage of a highway service area microgrid can be analyzed under different environmental conditions. Through this method, the characteristic curves applicable to all scenarios can be deduced, and it can be clarified whether the source-load balance of the system and the energy storage ratio are sufficient under different loads and power generations, thereby guiding the planning of energy and transportation and the problem of energy storage ratio.

[0029] As Figure 4 shown, in some embodiments, to ensure that enough electric vehicle load scenarios can be covered and summarized, this method is used to simulate the load change of the microgrid caused by the charging of electric vehicles. In each iteration, the charging power of the electric vehicle corresponding to the time sequence in this iteration is randomly changed to generate various load conditions affected by transportation energy use. Among them, when it is necessary to consider the fluctuation of new energy affected by weather in a microgrid system with new energy power generation of a certain capacity (P res ), the attenuation factor P d =P res ·R can also be introduced to cover the characteristics of the new energy output fluctuation under different weather conditions. The load state under different convergence conditions is clarified by controlling the size of the iteration amount.

[0030] In some embodiments, for step 104, the present invention uses sensitivity analysis for the cases where factors such as the new energy capacity accessed by the highway transportation system, the peak electricity consumption of regional electric vehicles, and the energy storage capacity configuration are different. As Figure 3 shown, by setting Δ 1 , Δ 2 and Δ 3 , the resolution of the analysis is clarified, and then the sensitivity of the system to each factor and the response status of the system and the demand for power from the main grid under different source-load-storage configurations are analyzed.

[0031] It should be noted that when the state of charge is less than 0, d 1 gradually decreases to a certain step (Δ 1 ) until the energy storage configuration is completely insufficient and d 1 is set to the initial value at this time;

[0032] When the state of charge is less than 0 and d 2 is not equal to the upper limit of new energy capacity configuration, d 2 gradually increases to the feasible upper limit to the upper limit of new energy capacity configuration in a certain step (Δ 2 ) and d 2 is set as the initial value at this time;

[0033] When the state of charge is less than 0, d 2 is not equal to the upper limit of new energy capacity configuration and d 3 is not equal to the upper limit of electric vehicle power consumption peak, d 3 gradually increases to the feasible upper limit to the upper limit of regional electric vehicle power consumption peak in a certain step (Δ 3 ).

[0034] In this step loop, by continuously reducing the energy storage ratio, the sensitivity of the system to energy storage, the demand for energy storage capacity and the margin are determined. By continuously increasing the new energy ratio, the sensitivity of the system to new energy output and the demand for new energy capacity configuration are determined. By continuously increasing the electric vehicle power consumption, the sensitivity of the system to transportation energy and the tolerance to changes in transportation energy are determined.

[0035] In an embodiment of the present invention, the target data includes energy storage capacity configuration, new energy capacity and regional electric vehicle power consumption peak, and the operation upper limits include the upper limit of new energy capacity configuration and the upper limit of regional electric vehicle power consumption peak.

[0036] In this embodiment, a self-consistent analysis of the source-network-load-storage can be carried out for the microgrid system mainly composed of highway service areas, providing guidance for the integrated planning of energy and transportation, integrating the characteristics of traffic load and general traditional power load, and using the target data to analyze and judge the power supply capacity, vehicle flow load capacity and energy storage configuration requirements of the service area.

[0037] In an embodiment of the present invention, the electric vehicle charging power is determined by the following formula:

[0038]

[0039] wherein, is the electric vehicle charging power corresponding to the time sequence t in the i-th iteration, PEV peak is the peak value of the electric vehicle charging power, and R is a random number between 0 and 1.

[0040] In this embodiment, the electric vehicle charging power corresponding to the time sequence in each iteration is randomly changed in each iteration, generating a variety of load conditions affected by transportation energy, and making full use of the random advantage to generate more load conditions.

[0041] In an embodiment of the present invention, the energy storage capacity configuration is determined by the following formula:

[0042]

[0043] In some embodiments, when the state of charge is less than 0, d 1 is gradually decreased in a certain step (Δ 1 ) until the energy storage configuration is completely insufficient. Additionally, d 10 is the initial value of d 1 .

[0044] In an embodiment of the present invention, the new energy capacity is determined by the following formula:

[0045]

[0046] In some embodiments, d 2 is gradually increased in a certain step (Δ 2 ) to the feasible upper limit up to the upper limit of the new energy capacity configuration. Additionally, d 20 is the initial value of d 2 .

[0047] In an embodiment of the present invention, the peak electric vehicle power consumption in the region is determined by the following formula:

[0048]

[0049] In some embodiments, d 3 is gradually increased in a certain step (Δ 3 ) to the feasible upper limit up to the upper limit of the peak electric vehicle power consumption in the region.

[0050] In an embodiment of the present invention, the total microgrid power is determined by the following formula:

[0051]

[0052] Wherein, P i is the power of the i-th load, and n is the total number of loads.

[0053] As Figure 4 shown, in some embodiments, by initializing the set number of iterations i, the unit time step t, and then the unit simulation period step T, when the number of iterations is not equal to the total number of iterations, enter the loop for accumulation, and enter the loop for accumulation according to the unit step not being equal to the unit simulation period step, and use the loop to calculate the total microgrid power and the state of charge at the unit step t.

[0054] In an embodiment of the present invention, the state of charge is determined by the following formula:

[0055]

[0056] Wherein, SOC 0 : Initial remaining power, m is the total number of energy storage devices, is the power of the i-th energy storage device in the corresponding time sequence cycle, is the total capacity of the i-th energy storage device.

[0057] According to an embodiment of another aspect, the present invention provides an analysis device for a source-network-load-storage of an energy-transportation integrated microgrid. Figure 2 Fig. shows a schematic block diagram of an analysis device for a source-network-load-storage of an energy-transportation integrated microgrid according to an embodiment. It can be understood that the device can be implemented by any device, equipment, platform and device cluster with computing and processing capabilities. The device includes: an initial unit 200, a calculation unit 202 and an analysis unit 204, wherein the main functions of each component unit are as follows:

[0058] The initial unit 200 is configured to initialize and set the target data and operation upper limit of the highway energy-transportation system; wherein, the highway energy-transportation system is used for self-consistent analysis of source-network-load-storage of a microgrid system mainly composed of highway service areas;

[0059] The calculation unit 202 is configured to calculate the total power and power state of the microgrid of the highway energy-transportation system based on the electric vehicle charging power;

[0060] The analysis unit 204 is configured to analyze the operation requirements of the highway energy-transportation system based on the target data, operation upper limit, total power of the microgrid and power state.

[0061] As a preferred implementation manner, the target data includes energy storage capacity configuration, new energy capacity and regional electric vehicle power consumption peak, and the operation upper limit includes new energy capacity configuration upper limit and regional electric vehicle power consumption peak upper limit.

[0062] As a preferred implementation manner, the electric vehicle charging power is determined by the following formula:

[0063]

[0064] Wherein, is the electric vehicle charging power corresponding to time sequence t in the i-th iteration, PEV peak is the electric vehicle charging power peak value, and R is a random number between 0 and 1.

[0065] As a preferred implementation manner, the energy storage capacity configuration is determined by the following formula:

[0066]

[0067] As a preferred implementation manner, the new energy capacity is determined by the following formula:

[0068]

[0069] As a preferred embodiment, the peak power consumption of the regional electric vehicle is determined by the following formula:

[0070]

[0071] As a preferred embodiment, the total power of the microgrid is determined by the following formula:

[0072]

[0073] In the formula, P t is the power of the i-th load, t is the single time mark, and n is the total number of loads.

[0074] As a preferred embodiment, the state of charge is determined by the following formula:

[0075]

[0076] In the formula, SOC 0 : initial remaining charge, m is the total number of energy storage devices, is the power of the i-th energy storage device in the corresponding time sequence cycle, is the total capacity of the i-th energy storage device.

[0077] It can be understood that for the information interaction, execution process, etc. between the modules in the above device, since they are based on the same concept as the method embodiments of this specification, the specific content can be referred to the description in the method embodiments of this specification, and will not be elaborated here.

[0078] According to an embodiment of another aspect, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed in a computer, the computer is made to execute the method described in combination with Figure 1 ...

[0079] According to an embodiment of still another aspect, an electronic device is further provided, including a memory and a processor. An executable code is stored in the memory. When the processor executes the executable code, the method described in combination with Figure 1 ...

[0080] Each embodiment in the present invention is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0081] Those skilled in the art should be able to realize that in one or more of the above examples, the functions described in the present invention can be implemented by hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium.

[0082] The above specific implementation manners have further elaborated on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are only specific implementation manners of the present invention and are not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solution of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for analyzing the source, grid, load and storage of a microgrid with energy fusion, characterized in that: The method comprises: Initialize and set the target data and operation upper limit of the highway traffic energy system; wherein the highway traffic energy system is used to perform source-grid-load-storage self-consistent analysis on the microgrid system with the highway service area as the main body, the target data includes energy storage capacity configuration, new energy capacity and regional electric vehicle power consumption peak, and the operation upper limit includes the new energy capacity configuration upper limit and the regional electric vehicle power consumption peak upper limit; Based on the charging power of electric vehicles, the total power and power state of the microgrid of the highway traffic energy system are calculated; wherein, by initializing and setting the number of iterations i, the time sequence t and the unit simulation cycle step T, when the number of iterations is not equal to the total number of iterations, a loop accumulation is entered, and according to the time sequence not being equal to the unit simulation cycle step, a loop accumulation is entered, and the total power of the microgrid and the power state under the time sequence t are calculated by loop; Based on the target data, the operating upper limit, the total power of the microgrid and the power status, the operating requirements of the highway traffic energy system are analyzed; wherein, the sensitivity of the highway traffic energy system to energy storage and the demand and margin for energy storage capacity are determined by continuously reducing the energy storage ratio, the sensitivity of the highway traffic energy system to new energy output and the demand for new energy capacity configuration are determined by continuously improving the new energy ratio, and the sensitivity of the highway traffic energy system to traffic energy consumption and its ability to withstand changes in traffic energy consumption are determined by continuously increasing the power consumption of electric vehicles.

2. The method according to claim 1, characterized in that The electric vehicle charging power is determined by the following formula: In the formula, is the electric vehicle charging power corresponding to time sequence t in the i-th iteration, PEV peak is the peak charging power of the electric vehicle, and R is a random number between 0 and 1.

3. The method according to claim 2, characterized in that The energy storage capacity configuration is determined by the following formula:

4. The method according to claim 3, characterized in that The new energy capacity is determined by the following formula:

5. The method according to claim 4, characterized in that The peak power consumption of electric vehicles in the area is determined by the following formula:

6. The method according to claim 5, characterized in that The total power of the microgrid is determined by the following formula: Where P i is the power of the i-th load, n is the total number of loads; The state of charge is determined by the following formula: Where, SOC0: initial remaining power, m is the total number of energy storage devices, is the power of the i-th energy storage device in the corresponding timing cycle, E ES is the total capacity of all energy storage devices.

7. An analysis device for a microgrid source-grid-load-storage system with energy fusion, characterized in that: The device comprises: The initialization unit is configured to initialize the target data and the upper limit of operation of the highway traffic energy system; wherein the highway traffic energy system is used to perform a source-grid-load-storage self-consistent analysis on the microgrid system with the highway service area as the main body, the target data includes the energy storage capacity configuration, the new energy capacity and the regional electric vehicle power consumption peak, and the upper limit of operation includes the new energy capacity configuration upper limit and the regional electric vehicle power consumption peak upper limit; The calculation unit is configured to calculate the total power and power state of the microgrid of the highway traffic energy system based on the charging power of the electric vehicle; wherein, by initializing and setting the number of iterations i, the time sequence t and the unit simulation cycle step length T, when the number of iterations is not equal to the total number of iterations, the loop accumulation is entered, and according to the time sequence not being equal to the unit simulation cycle step length, the loop accumulation is entered, and the total power of the microgrid and the power state under the time sequence t are calculated by loop; The analysis unit is configured to analyze the operation requirements of the highway traffic energy system based on the target data, the operation upper limit, the total power of the microgrid and the power status; wherein, the sensitivity of the highway traffic energy system to energy storage and the demand and margin for energy storage capacity are determined by continuously reducing the energy storage ratio, the sensitivity of the highway traffic energy system to the output of new energy and the demand for new energy capacity configuration are determined by continuously improving the new energy ratio, and the sensitivity of the highway traffic energy system to traffic energy consumption and the ability to withstand changes in traffic energy consumption are determined by continuously improving the power consumption of electric vehicles.

8. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method according to any one of claims 1 to 6.

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