Method and device for analyzing and planning characteristics of clean energy electrified equipment

Abstract

The invention belongs to the technical field of feature analysis planning, and provides a clean energy electrified equipment feature analysis planning method and device. The clean energy electrified equipment feature analysis planning method comprises the following steps: acquiring first real-time state feature information of electric equipment and second real-time state feature information of at least one clean energy power supply equipment; calculating the path distance from the electric equipment to each clean energy power supply equipment, taking the clean energy power supply equipment and the electric quantity demanded by the clean energy power supply equipment as state variables, and generating a power supplement planning strategy with the highest current power supplement efficiency by taking the weighted sum of the path distance from the electric equipment to each clean energy power supply equipment as the minimum; when the clean energy power supply equipment is in the occupied state, the weight of the path distance from the electric equipment to the corresponding clean energy power supply equipment is the electric quantity required by the corresponding clean energy power supply equipment; and when the clean energy power supply equipment is in the non-occupied state, the weight of the path distance from the electric equipment to the corresponding clean energy power supply equipment is zero.

Description

Technical Field

[0001] The present invention belongs to the technical field of feature analysis and planning, and in particular, relates to a method and device for feature analysis and planning of clean energy electrification equipment. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] At present, clean energy is widely used in the fields of railway section construction, kilometer section construction, etc., including transportation construction. Taking transportation construction as an example, clean energy can power equipment and places such as electric dump trucks, electric concrete mixers, electric excavators and electric loaders. With the continuous improvement of the precision and intelligent requirements for overall project energy scheduling, there is currently a lack of a technical solution for efficient and accurate clean energy scheduling to meet the power demand of different equipment and places in transportation construction scenarios. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a clean energy electrification equipment feature analysis planning method and device, which can provide a comprehensive clean energy power replenishment planning strategy with precision, low latency, high reliability and safety.

[0005] In order to achieve the above object, the present invention adopts the following technical solution:

[0006] A first aspect of the present invention provides a clean energy electrification equipment feature analysis and planning method.

[0007] In one or more embodiments, a clean energy electrification equipment feature analysis and planning method is provided, comprising:

[0008] Acquire first real-time status characteristic information of an electric device and second real-time status characteristic information of at least one clean energy power supply device; wherein the first real-time status information includes real-time remaining power and first real-time location information; the second real-time status characteristic information includes real-time stored power, occupancy status and second real-time location information;

[0009] Calculate the path distance from the power-consuming equipment to each clean energy power supply equipment, and then use the clean energy power supply equipment and the amount of electricity required from it as state variables. Minimize the weighted sum of the path distances from the power-consuming equipment to each clean energy power supply equipment to generate the most efficient power replenishment planning strategy.

[0010] Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

[0011] As an implementation manner, when there are at least two electrical devices, the first real-time status information also includes an operation level and a power replenishment time of the electrical devices.

[0012] As an implementation method, the priority of power supply of the power-consuming equipment is determined according to the operation level and power supply time of the power-consuming equipment;

[0013] Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

[0014] As an implementation mode, the power replenishment time includes the power replenishment waiting time and the power replenishment operation time; when the operation levels of the power-consuming equipment are the same, the power replenishment priority is positively correlated with the power replenishment waiting time of the power-consuming equipment, or the power replenishment priority is negatively correlated with the power replenishment operation time of the power-consuming equipment.

[0015] As an implementation mode, the clean energy electrification equipment characteristic analysis and planning method further includes:

[0016] Receive a request for access to a power replenishment planning strategy sent by an electric device;

[0017] When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

[0018] A second aspect of the present invention provides a clean energy electrification equipment characteristic analysis and planning device.

[0019] In one or more embodiments, a clean energy electrification equipment feature analysis and planning device includes:

[0020] A characteristic information acquisition module, which is used to acquire first real-time status characteristic information of an electric device and second real-time status characteristic information of at least one clean energy power supply device; wherein the first real-time status information includes real-time remaining power and first real-time location information; the second real-time status characteristic information includes real-time stored power, occupancy status and second real-time location information;

[0021] The power replenishment planning strategy generation module is used to calculate the path distance from the power-consuming equipment to each clean energy power supply equipment, and then use the clean energy power supply equipment and the amount of electricity required from it as state variables, and minimize the weighted sum of the path distances from the power-consuming equipment to each clean energy power supply equipment to generate the power replenishment planning strategy with the highest current power replenishment efficiency;

[0022] Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

[0023] As an implementation mode, the clean energy electrification equipment characteristic analysis and planning device further includes: a power supplement planning strategy correction module;

[0024] The power supplement planning strategy module is used to:

[0025] When there are at least two electrical devices, the first real-time status information further includes the operation level and power replenishment time of the electrical devices;

[0026] Determine the priority of power supply for power-consuming equipment according to its operation level and power supply time;

[0027] Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

[0028] As an implementation method, the clean energy electrification equipment characteristic analysis and planning device further includes: a supplementary power planning strategy search module;

[0029] The power supplement planning search module is used to:

[0030] Receive a request for access to a power replenishment planning strategy sent by an electric device;

[0031] When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

[0032] A third aspect of the present invention provides a computer-readable storage medium.

[0033] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps in the clean energy electrification equipment characteristic analysis and planning method as described above.

[0034] A fourth aspect of the present invention provides an electronic device.

[0035] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps in the clean energy electrification equipment characteristic analysis and planning method as described above are implemented.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] The clean energy electrification equipment characteristic analysis and planning method proposed in the present invention can perform analysis and planning based on the acquired first real-time status characteristic information of the electrification equipment and the second real-time status information of the clean energy power supply equipment. Since it relies on real-time status information, it effectively improves the timeliness and reliability of the execution of the power replenishment planning strategy. At the same time, it generates the power replenishment planning strategy based on the power replenishment efficiency, further improves the timeliness of the power replenishment implementation, and effectively realizes the precision of engineering energy scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0039] Figure 1 is a flow chart of a clean energy electrification equipment characteristic analysis and planning method according to an embodiment of the present invention;

[0040] Figure 2 It is a schematic diagram of the connection between the clean energy electrification equipment characteristic analysis and planning device and the electrical equipment and the clean energy power supply equipment according to the embodiment of the present invention;

[0041] Figure 3 2 is a schematic diagram of the structure of a clean energy electrification equipment characteristic analysis and planning device according to an embodiment of the present invention;

[0042] Figure 4 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] It should be noted that the following detailed descriptions are all illustrative and intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0045] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0046] Figure 2 A schematic diagram of the connection between the clean energy electrification equipment characteristic analysis and planning device and the electric equipment and the clean energy power supply equipment of the embodiment of the present invention is given. In this embodiment, the electric equipment 10 includes but is not limited to the electric equipment (electric dump truck, electric concrete mixer, electric excavator and electric loader, etc.) and the batteries of each electric equipment. Each electric equipment 10 is provided with a collection device for collecting information such as the current remaining power, operation status, and operation level of the electric equipment 10.

[0047] The collecting device sends the collected information to the clean energy electrification equipment characteristic analysis and planning device 30, so that the clean energy electrification equipment characteristic analysis and planning device 30 performs energy supply planning according to the information sent by the collecting device.

[0048] In the embodiment of the present application, the electric dump truck is an electric vehicle operating in the construction area, usually serving the tunnel inclined shaft and tunnel exit. The electric dump truck can adopt the charging mode, the battery capacity is 282kWh, the vehicle curb weight is 17.8t, and the total weight of the operating vehicle and cargo is 43.8t. The average power consumption of the electric dump truck in the tunnel inclined shaft transportation scenario is 3kWh / km, and the average power consumption in the tunnel exit transportation scenario is 4.2kWh / km. Correspondingly, a 360kW high-power charging pile can be used to charge the electric dump truck, where the charging pile can be a double-gun type.

[0049] In addition, electric dump trucks can also adopt the battery swap mode, and the battery capacity can be upgraded to 350kWh. Correspondingly, the battery swap station adopts a top-mounted battery swap structure with an overall weight of 70t (including the weight of the backup battery). Each battery swap station is equipped with 8 chargers (7 for use and 1 for backup). When the transportation construction project is located in a high-altitude area, the rated power of the charger is 360kW / unit. Since the chargers operating in high-altitude areas need to reduce power, the power of a single charger is 252kW. In the case of continuous battery swapping, the load increases by 252kW every 8 minutes. During normal battery swapping, 6 chargers are generally charged at the same time, with a power of 1512kW, and the peak power of up to 7 chargers charging at the same time is 1764kW.

[0050] Electric concrete mixer trucks can be operated in charging mode or battery replacement mode. The estimated power consumption per kilometer is 3kWh / km and the battery capacity is 350kWh.

[0051] The electric excavator and electric loader can be operated in charging mode or battery replacement mode, with battery capacities of 350kWh and 382kWh respectively, and battery life of 3h and 3.5h respectively.

[0052] The clean energy power supply equipment 20 is a power supply station that provides clean energy and the charger and / or charging pile therein, wherein the power supply station includes but is not limited to a cable power station, a battery power station, a photovoltaic power station, etc. That is to say, the power station that supplies power to at least one electrical device 10 may be one or more of a cable power station, a battery power station and a photovoltaic power station, wherein the output power of the charger and the charging pile in the cable power station, the battery power station and the photovoltaic power station is the same to meet the needs of the electrical device 10 to be charged or replaced in different power stations.

[0053] It should be noted that the clean energy power supply equipment 20 also includes a collection device to collect the power supply status and storage power of each charger and charging pile in the power station. The planning controller 10 plans the functions of the electrical equipment based on the information collected by the collection device of the clean energy power supply equipment 30.

[0054] The clean energy electrification equipment characteristic analysis and planning device 30 can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, as well as big data and artificial intelligence platforms.

[0055] At least one clean energy power supply device 20, at least one power consumption device 10 and the clean energy electrification equipment characteristic analysis planning device 30 are directly or indirectly connected through wired or wireless communication. Optionally, the above-mentioned wireless network or wired network uses standard communication technology and / or protocol. The network is usually the Internet, or it can be any network, including but not limited to a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), a mobile, wired or wireless network, a private network or any combination of a virtual private network.

[0056] The clean energy electrification equipment characteristic analysis and planning method proposed in the present application can be implemented by a clean energy electrification equipment characteristic analysis and planning device, and the clean energy electrification equipment characteristic analysis and planning device can be installed on a terminal device or a server.

[0057] In order to further illustrate the technical solution provided by the embodiment of the present application, the following is a detailed description of this in conjunction with the accompanying drawings and specific implementation methods. Although the embodiment of the present application provides the method operation instruction steps shown in the following embodiments or drawings, more or fewer operation instruction steps may be included in the method based on routine or no creative labor.

[0058] Figure 1 FIG. 1 is a flow chart of a method for analyzing and planning characteristics of clean energy electrification equipment in an embodiment of the present invention. Figure 1 The clean energy electrification equipment characteristic analysis and planning method in the present embodiment shown may include:

[0059] S101, obtaining first real-time status characteristic information of an electrical device and second real-time status characteristic information of at least one clean energy power supply device; wherein the first real-time status information includes real-time remaining power and first real-time location information; the second real-time status characteristic information includes real-time stored power, occupancy status and second real-time location information.

[0060] In this embodiment, the electric equipment includes but is not limited to electric equipment (electric dump truck, electric concrete mixer, electric excavator and electric loader, etc.) and batteries of each electric equipment. That is, when the electric equipment is in charging mode, the electric equipment can be the electric equipment, and when the electric equipment is in battery replacement mode, the electric equipment can be the battery of the electric equipment.

[0061] It should also be noted that when the electrified equipment is in charging mode, the first real-time location information of the electrical equipment is the real-time location of the electrified equipment, which can be collected by a collection device provided on the electrified equipment. The collection device can be a satellite positioning collection device, or it can be a collection device that communicates with other electrified equipment or implements to determine the location information.

[0062] When the electrified equipment is in the battery replacement mode, the first real-time location information of the electric equipment can be the real-time location of the electrified equipment, or the location information of the temporary storage location of the battery after the electrified equipment replaces the battery. That is to say, when the battery currently configured in the electrified equipment needs to be recharged, the first real-time location information of the electric equipment is the real-time location of the electrified equipment. After the electrified equipment determines the clean energy power supply equipment to replace the battery based on the first location information, it then determines the charger or charging pile for charging the battery based on the location information of the temporary storage location of the battery.

[0063] It should be noted that the stored electricity of the clean energy power supply equipment can be the electricity converted and stored by clean energy such as photovoltaic and wind energy, or it can be the electricity transmitted and stored by other clean energy power stations through high-voltage power grids.

[0064] The second location information of the clean energy power supply device includes the location information of the clean energy power supply station and the location information of each charger and / or charging pile in the clean energy power supply station. It should be understood that the second location information of the clean energy power supply device can be information determined and stored when the clean energy power supply device is established, and there is no need to repeatedly obtain it.

[0065] S102, calculating the path distance from the power-consuming device to each clean energy power supply device, and then taking the clean energy power supply device and the amount of electricity required from it as state variables, and minimizing the weighted sum of the path distances from the power-consuming device to each clean energy power supply device, to generate a power replenishment planning strategy with the highest current power replenishment efficiency;

[0066] Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

[0067] In other embodiments, the time it takes for the electric equipment to reach each clean energy power supply equipment can be determined based on the first real-time position in the first real-time status information and the second position in the second real-time status information. When determining the power replenishment planning strategy with the highest power replenishment efficiency, the clean energy power supply equipment that takes the shortest time for the electric equipment to reach the second position from the first real-time position is used as the power replenishment planning strategy.

[0068] Alternatively, the operating level refers to the importance of the operating equipment. For power-consuming equipment with a higher current operating level, the power supply of clean energy power supply equipment that is closer to it but occupied can be stopped, and power can be supplied to it first, thereby effectively avoiding the power-consuming equipment with a higher operating level from traveling a long distance and taking up more time, thereby reducing the power supply efficiency.

[0069] In a feasible embodiment, the clean energy power supply equipment can provide power to the power-consuming equipment according to the power replenishment planning strategy. For example, after the power replenishment planning strategy is generated, both the power-consuming equipment and the clean energy power supply equipment can obtain the power replenishment planning strategy, and then the power-consuming equipment that is still performing operations can be remotely controlled or controlled by the driver to reach the clean energy power supply equipment corresponding to the power replenishment planning strategy for power replenishment, and the replaced battery is moved from the temporary storage location to the clean energy power supply equipment corresponding to the power replenishment planning strategy for power replenishment via the mobile device in the power supply station.

[0070] Based on this, the clean energy electrification equipment characteristic analysis and planning method proposed in the embodiment of the present application can perform analysis and planning based on the acquired first real-time status characteristic information of the electrification equipment and the second real-time status information of the clean energy power supply equipment. Since it relies on real-time status information, it effectively improves the timeliness and reliability of the execution of the power replenishment planning strategy. At the same time, the power replenishment planning strategy is generated based on the power replenishment efficiency, which further improves the timeliness of the power replenishment implementation and effectively realizes the precision of engineering energy scheduling.

[0071] In one or more embodiments, when there are at least two electrical devices, the first real-time status information also includes an operation level and a power replenishment time of the electrical devices.

[0072] Specifically, the priority of power supply of the power-consuming equipment is determined according to the operation level and power supply time of the power-consuming equipment;

[0073] Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

[0074] In a feasible embodiment, during the construction process, sudden or emergency situations may occur, such as sudden weather changes, construction failures, etc. At this time, the demand for power replenishment of electrical equipment such as rescue and security increases sharply. If the power replenishment is carried out in sequence after waiting for the end of the conventional power replenishment, it will seriously affect the rescue and security work. Therefore, this application further proposes a technical solution for modifying the power replenishment planning strategy according to the power replenishment priority. Among them, the power replenishment priority is related to the operation level of the electrical equipment.

[0075] Optionally, the power replenishment priority of at least one power consuming device is obtained, and based on the priority order of the power consuming devices, the power replenishment planning strategy is revised to obtain a revised power replenishment planning strategy.

[0076] Specifically, when there are problems such as sudden weather changes and construction failures, the operation level of the power equipment is raised to the highest priority. At this time, the current operation level in the first real-time status characteristic information of the power equipment obtained in real time is changed to the highest priority. The power replenishment planning strategy corresponding to the power equipment with the highest current priority is generated for the highest power replenishment efficiency, and corresponding power replenishment planning strategies are generated for other power equipment based on the rule of the highest overall power replenishment efficiency, thereby obtaining a revised power replenishment planning strategy.

[0077] Furthermore, when the operating levels of multiple power-consuming equipment change, the power replenishment priority of each power-consuming equipment can be obtained separately, and then they can be sorted in the order of current operating level priority, and the power replenishment planning strategy can be planned in sequence according to the highest power replenishment efficiency in the order of priority, thereby completing the power replenishment planning of all power-consuming equipment.

[0078] In some feasible embodiments, the current operating levels of multiple power-consuming devices may be at the same priority, for example, multiple batteries that are replaced under normal circumstances. In other words, the power replenishment priority can also include other information besides the operating level, so that multiple power-consuming devices at the same operating level can be reasonably arranged with a power replenishment planning strategy.

[0079] In a feasible embodiment, the priority of power replenishment may also include the waiting time for power replenishment and the power replenishment operation time. The waiting time for power replenishment is the waiting time of the power user equipment since it arrives at the clean energy power supply equipment and has not yet been powered on, and the power replenishment operation time is the time required for the power user equipment to complete the power replenishment calculated based on the remaining power and the power replenishment rate.

[0080] Among them, the power replenishment time includes the power replenishment waiting time and the power replenishment operation time; when the operation levels of the power-consuming equipment are the same, the power replenishment priority is positively correlated with the power replenishment waiting time of the power-consuming equipment, or the power replenishment priority is negatively correlated with the power replenishment operation time of the power-consuming equipment.

[0081] That is to say, when the operation levels of the power-consuming devices are the same, the waiting time and the charging operation time of the power-consuming devices can be compared to determine the charging priority. If the charging waiting time is longer, the charging priority of the power-consuming device is considered to be higher, so that the power-consuming device can be charged as soon as possible to avoid problems such as over-discharge caused by long-term storage of the power-consuming device. If the charging operation time is shorter, the charging priority of the power-consuming device is considered to be higher, so that the power-consuming device can complete the charging as soon as possible, so that other devices can have available batteries when charging the power-consuming device with larger capacity.

[0082] In some feasible embodiments, the recharging operation time of the power consuming equipment may be obtained by statistically analyzing the historical recharging process of the power consuming equipment. At this time, the recharging priority of each power consuming equipment may be determined based on statistical analysis of the historical recharging data of each power consuming equipment.

[0083] Exemplarily, the priority of power replenishment is determined by the following formula:

[0084]

[0085] Among them, f(x) is the power replenishment priority, a0 is the operation level of the power-consuming equipment, T1 is the power replenishment waiting time of the power-consuming equipment, and t is the power replenishment operation time.

[0086] That is to say, the current power replenishment priority of the power consuming equipment can be determined according to the historical power replenishment waiting time and power replenishment operation time of the power consuming equipment, and then multiple power consuming equipment can be sorted according to the power replenishment priority, and the power replenishment planning strategy can be generated in sequence according to the sorting results.

[0087] Further, in some scenarios, communication anomalies or control anomalies may occur in the electrical equipment, or the response speed of formulating the charging replenishment planning strategy may be slow due to considerations (such as battery life, loss, etc.) during the process of generating the charging replenishment planning strategy. Based on this, the charging replenishment priority can be further optimized according to the waiting time for generating the charging replenishment planning strategy corresponding to the electrical equipment.

[0088] Specifically, it is detected whether T1>T2 is satisfied. If it is satisfied, the charging replenishment priority is determined by the following formula:

[0089]

[0090] Where f(x) is the charging replenishment priority, a0 is the operation level of the electrical equipment, T1 is the charging replenishment waiting time of the electrical equipment, t is the charging replenishment operation time, and T2 is the response time for generating the charging replenishment planning strategy.

[0091] That is to say, T1 - T2 is the actual waiting time of the electrical equipment, that is, the waiting time influence excluding the response time. Based on this, a corresponding charging replenishment planning strategy can be better generated for the electrical equipment without anomalies. It is equivalent to adjusting with the accurate value after eliminating the error by the charging replenishment operation time, that is, calculating the charging replenishment priority using the actual charging replenishment time of the electrical equipment.

[0092] Detecting whether T1>T2 provides a more optimized execution strategy and a better fault tolerance mechanism. For example, generally speaking, if T1<T2, it means that the response time of the charging replenishment planning strategy exceeds the charging replenishment waiting time of the electrical equipment. In this case, there is probably a calculation error or system anomaly. Therefore, detecting whether T1>T2 and using the summation formula to count historical data can avoid T1 and T2 statistical errors or anomalies from being included in the execution strategy. At the same time, by judging the size relationship between T1 and T2, it also helps to check whether there is an anomaly in the system calculation, thereby improving the accuracy and precision of the normal operation of the charging replenishment priority of the electrical equipment.

[0093] In a feasible embodiment, when T2 is greater than a preset threshold, it can be determined that the electrical equipment is abnormal, and further judge whether T1 is greater than T2. Or, the first real-time status information provided by the electrical equipment further includes a status identifier to indicate whether the electrical equipment is abnormal through the status identifier.

[0094] It should be understood that the above-mentioned multiple calculation methods of the charging replenishment priority have a progressive relationship, that is, the influence of the operation level of the electrical equipment is much higher than the correction result using the charging replenishment waiting time and the charging replenishment operation time, and the priority calculation method using the actual charging replenishment operation time is preferably applied when the electrical equipment is abnormal.

[0095] Based on this, the embodiments of the present application can select different calculation methods for power replenishment priority according to different situations of the power-consuming equipment, thereby meeting the needs of efficient planning of power replenishment planning strategies for normal power-consuming equipment, and can also use the power replenishment priority fault-tolerant mechanism to orderly plan power replenishment for abnormal power-consuming equipment.

[0096] In a feasible embodiment, after generating the power replenishment planning strategy, since sending the power replenishment planning strategy to at least one power-consuming device at the same time is likely to cause problems such as time delays and information interference, the embodiment of the present application proposes that at least one power-consuming device obtains its corresponding power replenishment planning strategy by sending a power replenishment planning strategy access request.

[0097] In one or more embodiments, the clean energy electrification equipment characteristic analysis and planning method further includes:

[0098] Receive a request for access to a power replenishment planning strategy sent by an electric device;

[0099] When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

[0100] After the power replenishment planning strategy is generated, the power replenishment planning strategy is stored in a memory that allows multiple parties to access it simultaneously, so that the information channel that can only provide a power replenishment planning strategy for a single power-consuming device at the same time becomes an access channel that can simultaneously provide multiple power-consuming devices with power replenishment planning strategies. The power replenishment planning strategies of multiple power-consuming devices generated at the same time can be stored in the memory. In the gap between regenerating the power replenishment planning strategy according to the first real-time status information and the second real-time status information, the corresponding power replenishment planning strategy has been sent to the memory. At this time, it will be faster to directly call the power replenishment planning strategy cached in the memory.

[0101] Specifically, when receiving a request for accessing a power replenishment planning strategy, it is necessary to first determine whether the request for accessing a power replenishment planning strategy meets the request conditions, that is, whether the conditions for reading the cache are met. If the request conditions are met, the corresponding power replenishment planning strategy is searched and returned; if the request conditions are not met, the request is ignored.

[0102] In a feasible embodiment, it is possible to determine whether the power supplement planning strategy access request meets the request condition by determining the time interval in which the power supplement planning strategy request is sent. Exemplarily, the identification information of the power-consuming device can be obtained based on the power supplement planning strategy access request, and then it is determined whether the power supplement planning strategy cached at the previous moment contains the identification information of the power-consuming device. If it does, it is determined that the power supplement planning strategy access request meets the request condition; if it does not, it is determined that the power supplement planning strategy access request does not meet the request condition.

[0103] Optionally, before determining whether the power replenishment planning strategy request meets the request conditions, the reliability of the power replenishment planning access request can also be verified. For example, first obtain the identification information of the power-consuming equipment based on the power replenishment planning strategy access request, and then determine whether the identification information is within the current engineering planning scope, such as the current railway section construction, kilometer section construction, if the identification information of the power-consuming equipment belongs to the power-consuming equipment recorded in the current railway section construction, or the power-consuming equipment recorded in the kilometer section construction, then determine that the power-consuming equipment has access rights, and further determine whether the identification of the power-consuming equipment meets the request conditions, if the identification of the power-consuming equipment does not belong to the power-consuming equipment recorded in the current railway section construction, or the power-consuming equipment recorded in the kilometer section construction, then determine that the power-consuming equipment does not have access rights.

[0104] It should also be understood that the clean energy power supply equipment can also obtain the power replenishment planning strategy based on this method, so as to recharge the batteries in the temporary storage warehouse according to the power replenishment planning strategy after obtaining the power replenishment planning strategy.

[0105] Therefore, the present application obtains the power replenishment planning strategy by means of access requests from power-consuming equipment, thereby effectively avoiding the time delay caused by data conflicts. At the same time, by setting request condition restrictions, the data query volume of access requests is greatly reduced, thereby further improving the efficiency of strategy release and further improving the efficiency of engineering energy scheduling.

[0106] Figure 3 3 is a schematic diagram of a clean energy electrification equipment characteristic analysis and planning device 30 in an embodiment of the present invention. Figure 1 The clean energy electrification equipment characteristic analysis and planning method corresponds to Figure 3 As shown, the clean energy electrification equipment characteristic analysis and planning device 30 in this embodiment may include:

[0107] A characteristic information acquisition module 301 is used to acquire first real-time state characteristic information of an electric device and second real-time state characteristic information of at least one clean energy power supply device; wherein the first real-time state information includes real-time remaining power and first real-time location information; the second real-time state characteristic information includes real-time stored power, occupancy status and second real-time location information;

[0108] The power replenishment planning strategy generation module 302 is used to calculate the path distance from the power-consuming device to each clean energy power supply device, and then use the clean energy power supply device and the power required from it as state variables, and minimize the weighted sum of the path distances from the power-consuming device to each clean energy power supply device to generate the power replenishment planning strategy with the highest current power replenishment efficiency;

[0109] Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

[0110] In some optional embodiments, the clean energy electrification equipment characteristic analysis and planning device further includes: a supplementary power planning strategy correction module;

[0111] The power supplement planning strategy module is used to:

[0112] When there are at least two electrical devices, the first real-time status information further includes the operation level and power replenishment time of the electrical devices;

[0113] Determine the priority of power supply for power-consuming equipment according to its operation level and power supply time;

[0114] Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

[0115] In some other optional embodiments, the clean energy electrification equipment characteristic analysis and planning device further includes: a supplementary power planning strategy search module;

[0116] The power supplement planning search module is used to:

[0117] Receive a request for access to a power replenishment planning strategy sent by an electric device;

[0118] When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

[0119] It should be noted here that Figure 3 Each module in the clean energy electrification equipment characteristic analysis and planning device is Figure 1 The various steps in the clean energy electrification equipment characteristic analysis and planning method correspond one to one, and the specific implementation process is the same, so it will not be repeated here.

[0120] Reference Figure 4 , a schematic diagram of an electronic device is given. It should be noted that, Figure 4 The electronic device 400 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0121] like Figure 4As shown, electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage portion 408 into a random access memory (RAM) 403. In RAM 403, various programs and data required for system operation are also stored. Central processing unit 401, ROM 402 and RAM 403 are connected to each other via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0122] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, etc.; an output section 407 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, a modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0123] When the central processing unit 401 in the electronic device of this embodiment executes the program, the following is achieved: Figure 1 The steps in the clean energy electrification equipment characteristic analysis planning method are shown.

[0124] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer readable medium, the computer program including a computer program for executing Figure 1 In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit 401, various functions defined in the apparatus of the present application are executed.

[0125] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0126] A person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM), etc.

[0127] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A clean energy electrification equipment feature analysis and planning method, characterized in that: include: Acquire first real-time status characteristic information of an electric device and second real-time status characteristic information of at least one clean energy power supply device; wherein the first real-time status information includes real-time remaining power and first real-time location information; the second real-time status characteristic information includes real-time stored power, occupancy status and second real-time location information; Calculate the path distance from the power-consuming equipment to each clean energy power supply equipment, and then use the clean energy power supply equipment and the amount of electricity required from it as state variables. Minimize the weighted sum of the path distances from the power-consuming equipment to each clean energy power supply equipment to generate the most efficient power replenishment planning strategy. Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

2. The clean energy electrification equipment characteristic analysis and planning method according to claim 1, characterized in that: When there are at least two electrical devices, the first real-time status information also includes the operation level and power replenishment time of the electrical devices.

3. The clean energy electrification equipment characteristic analysis and planning method according to claim 2, characterized in that: Determine the priority of power supply for power-consuming equipment according to its operation level and power supply time; Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

4. The clean energy electrification equipment characteristic analysis and planning method according to claim 3, characterized in that: The power replenishment time includes the power replenishment waiting time and the power replenishment operation time; when the operation levels of the power-consuming equipment are the same, the power replenishment priority is positively correlated with the power replenishment waiting time of the power-consuming equipment, or the power replenishment priority is negatively correlated with the power replenishment operation time of the power-consuming equipment.

5. The clean energy electrification equipment characteristic analysis and planning method according to claim 1, characterized in that: The clean energy electrification equipment characteristic analysis and planning method further includes: Receive a request for access to a power replenishment planning strategy sent by an electric device; When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

6. A clean energy electrification equipment characteristic analysis and planning device, characterized in that: include: A characteristic information acquisition module, which is used to acquire first real-time status characteristic information of an electric device and second real-time status characteristic information of at least one clean energy power supply device; wherein the first real-time status information includes real-time remaining power and first real-time location information; the second real-time status characteristic information includes real-time stored power, occupancy status and second real-time location information; The power replenishment planning strategy generation module is used to calculate the path distance from the power-consuming equipment to each clean energy power supply equipment, and then use the clean energy power supply equipment and the amount of electricity required from it as state variables, and minimize the weighted sum of the path distances from the power-consuming equipment to each clean energy power supply equipment to generate the power replenishment planning strategy with the highest current power replenishment efficiency; Among them, when the clean energy power supply equipment is in an occupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is the amount of electricity required from the corresponding clean energy power supply equipment; when the clean energy power supply equipment is in an unoccupied state, the weight of the path distance from the power-consuming equipment to the corresponding clean energy power supply equipment is zero.

7. The clean energy electrification equipment characteristic analysis and planning device according to claim 6, characterized in that: The clean energy electrification equipment characteristic analysis and planning device further includes: a power supplement planning strategy correction module; The power supplement planning strategy module is used to: When there are at least two electrical devices, the first real-time status information further includes the operation level and power replenishment time of the electrical devices; Determine the priority of power supply for power-consuming equipment according to its operation level and power supply time; Based on the power replenishment priority order of the power consuming equipment, the current power replenishment planning strategy of the power consuming equipment is revised to obtain a revised power replenishment planning strategy.

8. The clean energy electrification equipment characteristic analysis and planning device according to claim 6, characterized in that: The clean energy electrification equipment characteristic analysis and planning device further includes: a supplementary power planning strategy search module; The power supplement planning search module is used to: Receive a request for access to a power replenishment planning strategy sent by an electric device; When the power supplement planning strategy access request meets the set request condition, the power supplement planning strategy corresponding to the power-consuming device is searched based on the power supplement planning strategy access request.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps in the clean energy electrification equipment characteristic analysis and planning method as described in any one of claims 1 to 5 are implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps in the clean energy electrification equipment characteristic analysis and planning method as described in any one of claims 1-5 are implemented.

Images