A method for restoring the operating state of an energy storage train under charging pile failure

Abstract

The present invention discloses a method for restoring the operating state of an energy storage train in the event of a charging pile failure. The method comprises: determining whether the faulty charging pile station can charge; if so, optimizing the charging plan at the station; if not, optimizing the operating plan for running to the next available charging station; then optimizing the charging plan for the next available charging station and outputting it. This method can achieve the goal of restoring the tram to the planned operating state at the next available charging station when a charging pile fails. In the event of a charging pile failure, the present invention comprehensively optimizes the charging plan and the operating plan based on the different charging capabilities of the charging pile, with the goal of being able to run to the next available charging station and reducing the impact on the operating system. This method can quickly restore the operating state of the energy storage train, thereby improving the operating efficiency and stability of the transportation system.

Description

Technical Field

[0001] The present invention relates to the technical field of train operation control and optimization, and more specifically, to a method for recovering the operating state of an energy storage train in the event of a charging pile failure. Background Art

[0002] In recent years, my country's urbanization has accelerated, and the scale of urban rail transit has expanded rapidly. Energy storage trains, due to their low cost, high efficiency, and convenience, have been widely adopted in many cities, carrying a large passenger volume. However, in large-scale operational scenarios, trains operate in a repetitive cycle according to the operating plan. If a charging station fails and the train cannot resume normal operation in a timely manner, the normal operation of the entire system will be seriously affected.

[0003] When a charging pile fails, the subsequent charging and operation plans are different under different fault levels. Therefore, how to classify the fault based on the fault level of the charging pile is of great significance for subsequent solutions. In addition, how to restore the operating status of the energy storage rail train as soon as possible while minimizing the impact on the operating system has become a technical problem that needs to be solved urgently. Summary of the Invention

[0004] In response to at least one defect or improvement need of the prior art mentioned in the above background technology section, the present invention provides a method for restoring the operating status of an energy storage train in the event of a charging pile failure, so as to solve the problem of how to restore the operating status of the energy storage rail train as quickly as possible while minimizing the impact on the operating system when a charging pile fails.

[0005] To achieve the above objectives, the present invention provides a method for restoring the operating state of an energy storage train in the event of a charging pile failure, comprising:

[0006] If it is determined that the first charging pile cannot be charged and the energy storage train cannot run from the first charging pile to the next rechargeable second charging pile according to the operation plan, an energy-saving optimal control model is constructed with running to the second charging pile as the goal, and an operation plan of the energy storage train is optimized;

[0007] If it is determined that the first charging pile is capable of charging and the energy storage battery cannot be charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, then optimizing the charging plan and stop time of the energy storage train at the first charging pile with the goal of charging the energy storage battery to the energy storage battery state boundary;

[0008] With the energy storage battery charged to the operation plan state as the goal, adjusting the charging plan and stop time of the energy storage train at the second charging pile;

[0009] Output optimization results of the charging scheme and the operation scheme of the energy storage train at the first charging pile and the second charging pile.

[0010] Furthermore, if it is determined that the first charging pile cannot be charged and the energy storage train cannot run from the first charging pile to the next rechargeable second charging pile according to the operation plan, an energy-saving optimal control model is constructed with running to the second charging pile as the goal, and the operation plan of the energy storage train is optimized, specifically including:

[0011] Based on the state of the energy storage battery at the first charging pile and considering the operation constraints, obtaining the operating energy consumption of the energy storage train when running to the second charging pile and the available power of the energy storage battery during the operation according to the operation plan;

[0012] Determining that the available power of the energy storage battery is less than the operating energy consumption, considering the operating constraints, and constructing the energy-saving optimal control model with the goal of minimizing the operating energy consumption;

[0013] Based on the energy-saving optimal control model, an optimization algorithm is used to obtain an energy-saving operation plan for the energy storage train.

[0014] Furthermore, the determining that the first charging pile is capable of charging and the energy storage battery cannot be charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, then optimizing the charging scheme and stop time of the energy storage train at the first charging pile with the goal of charging the energy storage battery to the energy storage battery state boundary specifically includes:

[0015] Taking the state of the energy storage battery when the energy storage train arrives at the second charging pile as the lower limit of the normal working state, reversely obtain the energy storage battery state boundary of the energy storage battery at the first charging pile according to the operation plan;

[0016] Based on the actual state of the energy storage battery, the battery state after charging within the stop time constraint of the first charging pile is obtained, and it is determined that the battery voltage and power after charging are less than the energy storage battery state boundary. The charging plan and stop time of the energy storage train at the first charging pile are optimized with the goal of charging the energy storage battery to the energy storage battery state boundary.

[0017] Furthermore, it also includes:

[0018] If it is determined that the first charging pile cannot be charged and the energy storage train can run from the first charging pile to the second charging pile according to the operation plan, the energy storage train is allowed to run according to the operation plan.

[0019] Furthermore, it also includes:

[0020] If it is determined that the first charging pile is capable of charging and that the energy storage battery can be charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, the energy storage battery is charged using the stop time constraint as a charging duration constraint.

[0021] Furthermore, the operation constraints include one or more of train characteristic constraints, line speed limit constraints, and energy storage battery output power constraints.

[0022] Furthermore, the expression for the available power of the energy storage battery is:

[0023] E availab =E current -E min

[0024] Among them, E current is the current capacity of the energy storage battery, E min is the minimum power limit of the energy storage battery, E availab It is the available power of the energy storage battery.

[0025] Furthermore, the expression of the energy-saving optimal control model is:

[0026] J=min(E t +E aux )

[0027]

[0028] E aux =P aux T

[0029] Among them, E t is the traction energy consumption of the energy storage train, E aux is the auxiliary system energy consumption, s0 and s f is the starting and ending point of the energy storage train, F is the traction force, η is the traction system efficiency, P aux is the auxiliary system power, and T is the interval operation time.

[0030] Furthermore, the expression for the charging time of the energy storage train in the charging scheme is:

[0031]

[0032] Among them, t charge is the charging time of the energy storage train, P charge is the charging power, E * PC2 is the planned power consumption state value when starting from the second charging pile, E PC2 is the actual power consumption state value when reaching the second charging pile.

[0033] Furthermore, the expression of the stop time is:

[0034] t stop =t charge +t margin

[0035] Among them, t stop is the stop time, t margin is the time margin.

[0036] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0037] In the event of a charging pile failure, the present invention comprehensively optimizes the charging and operating plans based on the different charging capacities of the charging piles, with the goal of enabling the train to run to the next rechargeable station and reducing the impact on the operating system. This can quickly restore the operating status of the energy storage train, thereby improving the operating efficiency and stability of the transportation system. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0039] Figure 1 This is a general flow chart of a method for restoring the operating state of an energy storage train in the event of a charging pile failure, provided by an embodiment of the present invention;

[0040] Figure 2 A flow chart for optimizing a train operation plan when charging is impossible due to a charging pile failure, provided by an embodiment of the present invention;

[0041] Figure 3 A flow chart of the train charging solution optimization when partial charging is possible due to a charging pile failure, provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely for the purpose of explaining the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.

[0043] The terms "first," "second," or "third" in the specification, claims, or drawings of this application are used to distinguish different objects, not to describe a specific order. In addition, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to the process, method, product, or apparatus.

[0044] If a charging station fails and the train is unable to charge at that station, the train's operating capacity will be assessed. Since the train's traction and auxiliary systems are powered by the onboard energy storage batteries, the train's operating capacity will be assessed. If the train cannot reach the next available charging station as planned, the train's operating plan will be optimized to achieve energy-saving operation. Otherwise, the train will operate according to the original operating plan. If the train can partially replenish its energy at the charging station, the train's charging time at that station will be adjusted, with the combined goals of ensuring the train can reach the next available charging station and minimizing the impact of the charging station failure on the operating system. After the train reaches the next available charging station, the train's energy storage battery charging time will be adjusted to restore the train's operating status.

[0045] This plan targets charging pile failures, with the comprehensive goals of ensuring the train can run to the next rechargeable station and reducing the impact of charging pile failures on the operating system. Taking into account the degree of failure of the charging pile, the train's charging plan and operation plan are comprehensively optimized, enabling the train to return to normal operation as quickly as possible. This is of great significance to the normal operation of the energy storage train operation system.

[0046] Figure 1 The figure shows the overall flow chart of the method for restoring the operating state of an energy storage train charging station after a failure. The method first obtains basic data to determine whether the station where the charging station is faulty can charge. If so, the charging plan at that station is optimized. If not, the plan for moving to the next available charging station is optimized. The charging plan at the next available charging station is then optimized and output. This method can achieve the goal of restoring the tram to its planned operating state at the next available charging station after a charging station failure.

[0047] More specifically, in one embodiment, a method for restoring the operating state of an energy storage train in the event of a charging pile failure may generally include the following steps:

[0048] Step S1: Obtain the train operation plan (including the train's running time and speed in each section, the stop time at each station, and the charging plan at the rechargeable station, etc.), basic line information (including speed limit, slope and curve, etc.), basic station information (including station kilometer mark, whether there is a charging pile and charging power, etc.), charging pile fault information (including whether charging is possible, charging power, etc.), train characteristic data (including vehicle weight, traction braking characteristics, basic resistance characteristics, etc.), auxiliary system power information (including the power size of the auxiliary system), and on-board energy storage battery status information (including energy storage battery voltage, power information, etc.).

[0049] Step S2: Based on the rechargeable site (i.e., charging pile, here P C1 That is the first charging pile) P C1 Charging pile fault information, determine the site P C1 Whether it can be charged, if not, go to step S3, if it can be charged, go to step S4.

[0050] Step S3: Determine whether the train can C1 Run to the next charging station P C2 (Here P C2 That is, from the first charging pile P C1 Start to go to the next rechargeable charging pile along the direction of train operation, that is, the second charging pile). If it is possible, it will run according to the operation plan. If not, it will run to the next rechargeable station P C2 With this goal in mind, an energy-saving optimal control model is established to optimize the train operation plan.

[0051] Step S4: Calculate the C1 Run on time according to the operation plan to P C2 The energy storage battery state boundary is used to determine whether the energy storage battery can C1 If possible, charge the battery to the energy storage battery state boundary within the stop time constraint. If not, adjust the battery state boundary to the energy storage battery state boundary with the goal of charging the battery to the energy storage battery state boundary. C1 The charging plan and stop time are determined, and then the train runs to P according to the operation plan. C2 site.

[0052] Step S5: With the energy storage battery charged to the operation plan state as the goal, adjust the train to P C2 Charging plan and stop time at the station.

[0053] Step S6: Output the train at station P C1 、P C2 Optimization results of charging scheme and operation scheme.

[0054] Among them, energy storage trains generally refer to rail trains that are powered by supercapacitors, batteries or a hybrid battery pack consisting of the two as the on-board energy storage system.

[0055] Charging station failure: A situation where the device that charges the energy storage battery fails, resulting in a reduction or loss of charging capacity.

[0056] State recovery: The process of restoring the voltage and power of the train energy storage battery to the operating plan state after deviation.

[0057] like Figure 2 As shown in the figure, the optimization process for the train operation plan when a charging pile fails and cannot charge is as follows: first, determine whether the train can run to the next charging station according to the planned operation plan. If it can, the original plan is adopted. If not, establish an optimal control model for tram operation energy saving and design an optimization algorithm to solve the train's energy-saving speed curve. This ensures that the train can run smoothly to the next charging station when the charging pile cannot charge.

[0058] More specifically, the above step S3 may include the following sub-steps:

[0059] Step S3.1: Based on the train energy storage battery in P C1 Considering the operation constraints, the train is calculated to run to the next charging station P according to the operation plan. C2 The operating energy consumption and the status of the energy storage battery during operation.

[0060] Step S3.2: Based on the running energy consumption and arrival status calculated in step S3.1, if the running energy consumption is less than the available power of the energy storage battery and the energy storage battery status is within the normal working state range, the train can run to P according to the operation plan. C2 , then the operation plan is not adjusted and the process goes to step S3.5; otherwise, the operation plan cannot be followed to P C2 , go to step S3.3.

[0061] Step S3.3: Considering the operation constraints and taking the lowest train operation energy consumption as the goal, establish an energy-saving optimal control model.

[0062] Step S3.4: Use the optimization algorithm to solve the energy-saving operation plan of the train.

[0063] Step S3.5: Output the train operation plan.

[0064] Among them, operational constraints include train characteristic constraints, line speed limit constraints, and energy storage battery output power constraints.

[0065] Energy storage battery available power:

[0066] E availab =Ecurrent -E min

[0067] Where: E current is the current capacity of the energy storage battery, E min is the minimum power limit of the energy storage battery, E availab It is the available power of the energy storage battery.

[0068] Energy-saving optimal control model:

[0069] J=min(E t +E aux )

[0070]

[0071] E aux =P aux T

[0072] Where: E t is the train traction energy consumption, E aux is the auxiliary system energy consumption, s0, s f is the starting and ending point of the train, F is the traction force, η is the efficiency of the traction system, P aux is the auxiliary system power, and T is the interval operation time.

[0073] like Figure 3 As shown in the figure, the optimization process for a train charging plan that allows for partial charging after a charging station failure is as follows: Based on the minimum operating state of the energy storage battery when the tram arrives at the next available charging station, the boundary state of the energy storage battery when the tram departs from the faulty charging station is reversely calculated according to the planned operation plan, thereby determining the charging plan at the faulty charging station. This can minimize the impact on the operating system while ensuring that the tram can reach the next charging station.

[0074] More specifically, the above step S4 may include the following sub-steps:

[0075] Step S4.1: The train arrives at station P C2 When the energy storage battery state is taken as the lower limit of normal working state (U min ,E min ), reversely calculate the train energy storage battery in P according to the operation plan. C1 Energy storage battery state boundary (U bound ,E bound ).

[0076] Step S4.2: Calculate the energy storage battery status based on the actual energy storage battery status. C1The battery status after charging within the stop time constraint is determined by judging whether the battery voltage and power after charging are greater than the energy storage battery boundary state calculated in step S4.1. If so, go to step S4.3; if not, go to step S4.4.

[0077] Step S4.3: P C1 The stop time is used as a charging time constraint to charge the train's energy storage batteries.

[0078] Step S4.4: In P C1 The train energy storage battery is charged and the charging stops after reaching the energy storage battery boundary state calculated in step S4.1.

[0079] Step S4.5: The train runs to P according to the operation plan. C2 .

[0080] The expressions of charging plan and stop time are:

[0081]

[0082] t stop =t charge +t margin

[0083] Where: t charge , t margin and t stop They represent the charging time, time margin and stop time of the energy storage train in the charging scheme, E * PC2 For trains in P C2 Operational plan power consumption state value at the time of station departure, E PC2 For trains arriving at P C2 The actual power consumption state value at the site, P charge is the charging power.

[0084] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure herein, those skilled in the art will easily think of other embodiments of the present disclosure. The present invention is intended to cover any variation, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the art that are not recorded in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

[0085] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0086] It will be easily understood by those skilled in the art that the above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for restoring the operating state of an energy storage train in the event of a charging pile failure, characterized in that: include: If it is determined that the first charging pile cannot be charged and the energy storage train cannot run from the first charging pile to the next rechargeable second charging pile according to the operation plan, an energy-saving optimal control model is constructed with running to the second charging pile as the goal, and an operation plan of the energy storage train is optimized; If it is determined that the first charging pile is capable of charging and the energy storage battery cannot be charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, then optimizing the charging plan and stop time of the energy storage train at the first charging pile with the goal of charging the energy storage battery to the energy storage battery state boundary; With the energy storage battery charged to the operation plan state as the goal, adjusting the charging plan and stop time of the energy storage train at the second charging pile; Outputting optimization results of the charging scheme and the operation scheme of the energy storage train at the first charging pile and the second charging pile; The process of determining that the first charging pile cannot be charged and that the energy storage train cannot run from the first charging pile to the next rechargeable second charging pile according to the operation plan is to construct an energy-saving optimal control model with running to the second charging pile as the goal, and optimizing the operation plan of the energy storage train specifically includes: Based on the state of the energy storage battery at the first charging pile and considering the operation constraints, obtaining the operating energy consumption of the energy storage train when running to the second charging pile and the available power of the energy storage battery during the operation according to the operation plan; Determining that the available power of the energy storage battery is less than the operating energy consumption, considering the operating constraints, and constructing the energy-saving optimal control model with the goal of minimizing the operating energy consumption; Based on the energy-saving optimal control model, an optimization algorithm is used to obtain an energy-saving operation plan for the energy storage train.

2. The operating state recovery method according to claim 1, wherein: The determining that the first charging pile is capable of charging and the energy storage battery cannot be charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, and optimizing the charging scheme and stop time of the energy storage train at the first charging pile with the goal of charging the energy storage battery to the energy storage battery state boundary specifically includes: Taking the state of the energy storage battery when the energy storage train arrives at the second charging pile as the lower limit of the normal working state, reversely obtain the energy storage battery state boundary of the energy storage battery at the first charging pile according to the operation plan; Based on the actual state of the energy storage battery, the battery state after charging within the stop time constraint of the first charging pile is obtained, and it is determined that the battery voltage and power after charging are less than the energy storage battery state boundary. The charging plan and stop time of the energy storage train at the first charging pile are optimized with the goal of charging the energy storage battery to the energy storage battery state boundary.

3. The operating state recovery method according to claim 1, wherein: Also includes: If it is determined that the first charging pile cannot be charged and the energy storage train can run from the first charging pile to the second charging pile according to the operation plan, the energy storage train is allowed to run according to the operation plan.

4. The operating state recovery method according to claim 1, wherein: Also includes: If it is determined that the first charging pile is capable of charging and that the energy storage battery is capable of being charged to the energy storage battery state boundary within the stop time constraint of the first charging pile, the energy storage battery is charged using the stop time constraint as a charging duration constraint.

5. The operating state recovery method according to claim 1, wherein: The operation constraints include one or more of train characteristic constraints, line speed limit constraints, and energy storage battery output power constraints.

6. The operating state recovery method according to claim 1, wherein: The expression of the available power of the energy storage battery is: AND availab =And current -AND min Among them, E current is the current capacity of the energy storage battery, E min is the minimum power limit of the energy storage battery, E availab It is the available power of the energy storage battery.

7. The operating state recovery method according to claim 1, wherein: The expression of the energy-saving optimal control model is: J=min(E t +E aux ) E aux =P aux T Among them, E t is the traction energy consumption of the energy storage train, E aux is the auxiliary system energy consumption, s0 and s f is the starting and ending point of the energy storage train, F is the traction force, η is the traction system efficiency, P aux is the auxiliary system power, and T is the interval operation time.

8. The operating state recovery method according to claim 2, wherein: The expression of the energy storage train charging time in the charging scheme is: Among them, t charge is the charging time of the energy storage train, P charge is the charging power, E * PC2 is the planned power consumption state value when starting from the second charging pile, E PC2 is the actual power consumption state value when reaching the second charging pile.

9. The operating state recovery method according to claim 8, characterized in that: The expression of the stop time is: t stop =t charge +t margin Among them, t stop is the stop time, t margin is the time margin.

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