New energy management and monitoring method and system

Abstract

The present invention relates to a new energy management and monitoring method and system, the method includes obtaining the working state of an energy storage unit, the working state includes a charging state, a discharging state and a waiting state; creating a task area in a virtual space according to task requirements; assigning a position and a task area coordinate point to the energy storage unit; driving the energy storage unit to reach a task area coordinate point in the virtual space and calculating the consumed time and the overall distance; comparing the cost values ​​of different solutions; selecting the solution with the smallest cost value as a solution, and when the energy storage unit is configured with multiple task areas, multiple positions are configured for the energy storage unit. The new energy management and monitoring method and system disclosed in the present invention obtains a better charging and discharging scheduling strategy by using spatial distribution point simulation to replace the inherent simple strategy, thereby realizing the global optimal solution for new energy monitoring and management.

Description

Technical Field

[0001] The present invention relates to the field of new energy technology, and in particular to a new energy energy management and monitoring method and system. Background Art

[0002] Energy storage power stations serve as energy relays for new energy sources. Energy storage can be configured in power generation systems to improve system flexibility, alleviate the pressure on peak regulation caused by the high proportion of renewable energy power generation connected to the grid, and reasonably configure energy storage capacity at the power supply end, which helps to improve the economy of the power generation system.

[0003] Thermal power generation has a fairly high stability, while renewable energy generation has obvious instability. As the proportion of renewable energy generation connected to the grid gradually increases, how to coordinate and control it has become a difficult problem. Energy storage power stations, as energy relays for storing and releasing electrical energy, can solve this problem to a certain extent. Energy storage power stations should have a certain scale to be able to play their due role in peak load regulation and demand matching. However, as the scale expands, the difficulty of management also increases. How to optimize the energy configuration of energy storage power stations to realize the charging and discharging scheduling strategy of energy storage power stations still needs further research. Summary of the invention

[0004] The present invention provides a new energy management and monitoring method and system, which uses spatial distribution point simulation to obtain a better charging and discharging scheduling strategy to replace the inherent simple strategy, thereby realizing the global optimal solution for new energy monitoring and management.

[0005] The above object of the present invention is achieved through the following technical solutions:

[0006] In a first aspect, the present invention provides a new energy management and monitoring method, comprising:

[0007] Obtaining the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state;

[0008] Creating a task area in the virtual route map according to task requirements, wherein the task area includes at least one end point;

[0009] assigning end points to energy storage units according to the operating status of the energy storage units;

[0010] Drive the energy storage units to move in the virtual route map and make all the energy storage units reach the end point;

[0011] Calculate each time consumption and distance consumed. The consumption time includes the movement time of the energy storage unit and the disappearance time of the task area.

[0012] Evaluate the economic feasibility of each moving process and select the moving process that meets the economic requirements as the solution;

[0013] The virtual route map includes routes and connection points, and the connection points include passing time and passing volume;

[0014] The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

[0015] In a possible implementation manner of the first aspect, creating a task area according to task requirements includes:

[0016] Get the terminal associated with the task requirement;

[0017] Creating a coordinate point at the terminal location in the virtual route map and creating a task area at the coordinate point according to the capacity;

[0018] Wherein, the task area includes a plurality of task sub-areas, and the volume of each task sub-area is related to the energy storage unit in contact with the task sub-area;

[0019] Each task sub-region enters a hidden state after contacting an energy storage unit and transfers energy to the energy storage unit in contact with the task sub-region. After the energy transfer is completed, the task sub-region disappears.

[0020] In a possible implementation manner of the first aspect, allocating an end point to the energy storage unit according to the working state of the energy storage unit includes:

[0021] Determine the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state;

[0022] Assigning an endpoint to each operating state of the energy storage unit;

[0023] The end point of each working state allocation is used as the end point of the energy storage unit.

[0024] In a possible implementation manner of the first aspect, when driving the energy storage unit to move in the virtual circuit diagram, the method further includes:

[0025] Determine the waiting time according to the working status of the energy storage unit;

[0026] When the energy storage unit has multiple working states, increasing the number of the energy storage units and assigning a working state to each of the energy storage units;

[0027] When one of the energy storage units reaches the end point, the other energy storage units are deactivated.

[0028] In a possible implementation of the first aspect, driving the energy storage unit to move in the virtual route map and making all the energy storage units reach the end point also includes comparing the consumed time with the required time;

[0029] When the consumed time is greater than the required time, determine the optimization point and repeat the above process to make the consumed time less than the required time;

[0030] When the consumed time is less than the required time, the moving processes are sorted according to the consumed distance and the first moving process in the sequence is selected as the solution.

[0031] In a possible implementation manner of the first aspect, determining the optimization point includes:

[0032] Determine the connection points on the virtual route map that are involved in the movement process;

[0033] Count the usage time of each connection point and sort them. In the order sequence, the usage time of the connection points tends to decrease;

[0034] Count the number of connection points that are still in use after the required time;

[0035] The connection points that are associated with the connection points that are still in use after the required time and are located in the required sorting segment in the sequence sequence are used as optimization points.

[0036] In a possible implementation manner of the first aspect, a process of processing the optimization point includes:

[0037] Determine the optimization points associated with the optimization points, and record the optimization points associated with the optimization points as associated points;

[0038] Transferring storage units that have passed the optimization point to the passing association point according to the usage time sorting;

[0039] When the storage unit passing the optimization point is transferred to the associated point, the associated point is in an idle state or the waiting time of the transferred storage unit is the shortest.

[0040] In a second aspect, the present invention provides a new energy monitoring and management device, comprising:

[0041] A data acquisition unit, used to acquire the working state of the energy storage unit, the working state including charging state, discharging state and waiting state;

[0042] A creating unit, used to create a task area in the virtual route map according to task requirements, wherein the task area includes at least one end point;

[0043] an allocating unit, for allocating end points to the energy storage units according to the working states of the energy storage units;

[0044] A simulation unit, used to drive the energy storage units to move in the virtual route map and make all the energy storage units reach the end point;

[0045] A calculation unit, used to calculate each time consumption and distance consumed, where the consumption time includes the movement time of the energy storage unit and the disappearance time of the task area;

[0046] An evaluation unit, used to evaluate the economic efficiency of each moving process and select a moving process that meets the economic efficiency requirements as a solution;

[0047] The virtual route map includes routes and connection points, and the connection points include passing time and passing volume;

[0048] The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

[0049] In a third aspect, the present invention provides a new energy management and monitoring system, the system comprising:

[0050] one or more memories for storing instructions; and

[0051] One or more processors, used to call and run the instructions from the memory to execute the method as described in the first aspect and any possible implementation of the first aspect.

[0052] In a fourth aspect, the present invention provides a computer-readable storage medium, the computer-readable storage medium comprising:

[0053] Program, when the program is executed by a processor, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0054] In a fifth aspect, the present invention provides a computer program product, comprising program instructions, and when the program instructions are executed by a computing device, the method described in the first aspect and any possible implementation of the first aspect is executed.

[0055] In a sixth aspect, the present invention provides a chip system comprising a processor for implementing the functions involved in the above aspects, for example, generating, receiving, sending, or processing the data and / or information involved in the above methods.

[0056] The chip system may be composed of chips, or may include chips and other discrete devices.

[0057] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wired or wireless means, or the processor and the memory can also be coupled on the same device. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1It is a schematic block diagram of the steps of a new energy management and monitoring method provided by the present invention.

[0059] Figure 2 It is a schematic diagram of a task area provided by the present invention.

[0060] Figure 3 It is a schematic diagram of allocating different endpoints to the same energy storage unit provided by the present invention.

[0061] Figure 4 It is a schematic diagram of the working status of energy storage unit replacement in the time dimension provided by the present invention.

[0062] Figure 5 It is a schematic diagram of the usage time of different connection points provided by the present invention.

[0063] Figure 6 It is a schematic diagram of transferring a part of storage units of an optimization point to an associated point provided by the present invention. DETAILED DESCRIPTION

[0064] In order to more clearly understand the technical solution of the present invention, the relevant technology is first introduced.

[0065] The new energy management and monitoring method disclosed in the present invention is applied to the management system of the energy storage power station. The energy storage power station serves as an energy relay between the new energy power generation and the power grid, and also undertakes a part of the peak shaving and valley filling function of the power grid.

[0066] Energy storage power stations are composed of different energy storage units. When performing different tasks, an indefinite number of energy storage units are required to participate. This results in different capacities and states of each energy storage unit in the energy storage power station during long-term operation. An ideal way is to achieve consistency in the capacity and state of the energy storage units through regional scheduling, but this method is almost impossible to achieve because it will be affected by multiple factors such as renewable energy power generation, grid fluctuations, and task differences.

[0067] This means that when facing subsequent tasks, it is necessary to comprehensively consider how to dispatch different energy storage units, because while storing the electricity generated by new energy, it is also necessary to output electricity to the power grid; at the same time, there are application scenarios that involve coordinating actions on multiple lines.

[0068] The input power and output power can be calculated through the prediction curve and the demand curve. After obtaining the calculation results, it is necessary to use the new energy energy management and monitoring method provided by the present invention to uniformly coordinate and manage the energy storage units in the energy storage power station, in order to obtain the optimal solution. The optimal solution here refers to mobilizing the energy storage units to match the calculation results in the shortest possible time.

[0069] The technical solution of the present invention is further described in detail below in conjunction with the accompanying drawings.

[0070] The present invention discloses a new energy management and monitoring method, please refer to Figure 1 In some examples, the new energy management and monitoring method disclosed in the present invention includes the following steps:

[0071] S101, obtaining the working state of the energy storage unit, where the working state includes a charging state, a discharging state and a waiting state;

[0072] S102, creating a task area in the virtual route map according to task requirements, where the task area includes at least one end point;

[0073] S103, allocating endpoints to energy storage units according to the working status of the energy storage units;

[0074] S104, driving the energy storage units to move in the virtual route map and making all the energy storage units reach the end point;

[0075] S105, calculating each time consumption time and consumed distance, where the consumption time includes the moving time of the energy storage unit and the disappearance time of the task area;

[0076] S106, evaluating the economic efficiency of each moving process and selecting a moving process that meets the economic efficiency requirements as a solution;

[0077] The virtual route map includes routes and connection points, and the connection points include passing time and passing volume;

[0078] The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

[0079] Specifically, in step S101, the working state of the energy storage unit is first obtained, and the working state includes charging state, discharging state and waiting state. The energy storage unit here refers to a battery unit in an energy storage power station. The battery unit is composed of multiple battery cells. During operation, an energy storage unit is used as a whole.

[0080] The charging state refers to the state in which the energy storage unit is absorbing external input electrical energy.

[0081] The discharge state refers to the state in which the energy storage unit is in the state of outputting electrical energy to the outside.

[0082] The waiting state refers to a state in which the energy storage unit does not exchange electric energy with the outside.

[0083] In step S102, a task area is created in the virtual route map according to the task requirements, and the task area includes at least one end point, such as Figure 2The virtual circuit diagram here refers to the route created in the virtual space according to the actual structure of the energy storage power station. The route has the same circuit structure as the energy storage power station. The route length corresponds to the circuit length, and the route width corresponds to the maximum current in the line.

[0084] The mission area refers to the terminal specified in the mission to interact with the power grid. Each terminal has a coordinate, which is referred to as the terminal end point. The number of end points in a mission area can be one or more. This is because the capacity of the terminal is fixed. The energy storage power station may need one terminal or multiple terminals to interact with the power grid.

[0085] In step S103, the end point is allocated to the energy storage unit according to the working state of the energy storage unit, but the priority needs to be considered here, and the specific method is as follows:

[0086] The task at this time is to store the electric energy input from the power grid. The energy storage units in the waiting state are assigned the endpoints first. When all the energy storage units in the waiting state cannot meet the task requirements, the endpoints are assigned to the energy storage units in the charging state, and finally to the energy storage units in the discharging state.

[0087] The task at this time is to output electric energy to the power grid. The energy storage units whose working state is waiting state are assigned the endpoint first. When all the energy storage units whose working state is waiting state cannot meet the task requirements, the endpoint is assigned to the energy storage units whose working state is discharging state, and finally the endpoint is assigned to the energy storage units whose working state is charging state.

[0088] In step S104, the energy storage units are driven to move in the virtual circuit diagram and all the energy storage units reach the end point. The virtual circuit diagram includes lines and connection points, where the lines correspond to circuits in the energy storage power station and the connection points correspond to switches in the circuits.

[0089] The connection point also includes the through time and the through volume. The through time refers to the switching state, because the circuit takes time to adjust. The through volume refers to the circuit capacity at the connection point, which is generally the maximum capacity.

[0090] In addition, the throughput of the connection point needs to be dynamically adjusted with the energy storage unit passing through the connection point. Here, it is described in terms of width. The line width is ten units, and the width of an energy storage unit passing through the connection point is two units. Then, the line width needs to be adjusted to eight units.

[0091] The energy storage unit makes autonomous decisions when it moves in the virtual circuit diagram, including waiting and replacement. At the same time, the energy storage unit is limited to only the connection points that can be reached directly. Direct arrival means that the energy storage unit does not need to pass through other connection points when reaching this connection point.

[0092] Then, in step S105, the consumed time and consumed distance are calculated for each time. The consumed time includes two parts, namely the moving time of the energy storage unit and the disappearance time of the task area. The moving time of the energy storage unit refers to the total time from the first energy storage unit to the last energy storage unit and then stops moving. The consumed distance refers to the total distance traveled by all the moving energy storage units after they stop moving.

[0093] Finally, in step S106, the economic efficiency of each movement process is evaluated and the movement process that meets the economic efficiency requirements is selected as the solution.

[0094] For economy, we first need to consider the time consumption to filter out the moving process that meets the requirements. First, the time consumption must be less than or equal to the required time in the task. If the time consumption is greater than the required time in the task, it means that the moving process does not meet the requirements.

[0095] Then, the consumption distance is used to evaluate the economy of the moving process. The shorter the consumption distance, the higher the economy of the moving process. This is because the shorter the consumption distance means the fewer lines and switches involved, which will reduce the amount of power loss and heat dissipation energy consumption. In addition, it also involves switching actions. Reducing the number of switching actions can also extend the service life of the switch.

[0096] In some examples, the specific ways to create task areas based on task requirements are:

[0097] S201, obtaining a terminal associated with a task requirement;

[0098] S202, creating a coordinate point at the terminal position in the virtual route map and creating a task area at the coordinate point according to the capacity;

[0099] Wherein, the task area includes a plurality of task sub-areas, and the volume of each task sub-area is related to the energy storage unit in contact with the task sub-area;

[0100] Each task sub-region enters a hidden state after contacting an energy storage unit and transfers energy to the energy storage unit in contact with the task sub-region. After the energy transfer is completed, the task sub-region disappears.

[0101] In step S201 and step S202, a task area is created at the same time as the coordinate point is created. There are multiple coordinate points, but there is only one task area. After the energy storage unit reaches the coordinate point, it will contact the task area. The task area includes multiple task sub-areas. The volume of the task sub-area is uncertain and is related to the energy storage unit in contact with the task sub-area, that is, the volume of the task sub-area is determined only after it contacts an energy storage unit.

[0102] In addition, each task sub-region needs to enter a hidden state after contacting the energy storage unit and transfer energy to the energy storage unit in contact with the task sub-region. After the energy transfer is completed, the task sub-region disappears. This method does not require the allocation of electric energy to the coordinate point in advance, that is, it does not reverse the process based on the result, but uses the process to determine the result.

[0103] In some examples, the specific manner of assigning endpoints to energy storage units according to the working status of the energy storage units is:

[0104] Determine the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state;

[0105] Assigning an endpoint to each operating state of the energy storage unit;

[0106] The end point of each working state allocation is used as the end point of the energy storage unit.

[0107] See also Figure 3 , the solid and dotted boxes in the figure represent the same energy storage unit, but they have different endpoints. This allocation method does not make it clear whether the energy storage unit participates in the charging process or the discharging process, which involves the concepts of local optimum and global optimum.

[0108] As mentioned above, the present invention aims to obtain a globally optimal solution, so there is no need to first determine the end point of the energy storage unit, but rather to simulate all possibilities of the energy storage unit.

[0109] When the drive energy storage unit moves in the virtual circuit diagram, the following method is used:

[0110] S301, determining a waiting time according to the working state of the energy storage unit;

[0111] S302, when the energy storage unit has multiple working states, increasing the number of the energy storage units and assigning a working state to each of the energy storage units;

[0112] When one of the energy storage units reaches the end point, the other energy storage units are deactivated.

[0113] The advantage of this method is that it does not limit the energy storage unit, but uses a global optimal method to determine what the energy storage unit should undertake. Its advantage is that it can obtain an overall optimal solution rather than a local optimal solution.

[0114] Waiting time refers to the preparation time required for the energy storage unit to change its working state, such as Figure 4 shown.

[0115] In some examples, the following contents are added: driving the energy storage unit to move in the virtual route map and making all the energy storage units reach the end point, and also including comparing the consumed time with the required time. The purpose of the comparison is to determine whether the obtained moving process meets the requirements. The specific rules are as follows:

[0116] When the consumed time is greater than the required time, determine the optimization point and repeat the above process to make the consumed time less than the required time;

[0117] When the consumed time is less than the required time, the moving processes are sorted according to the consumed distance and the first moving process in the sequence is selected as the solution.

[0118] The purpose of the above rules is to obtain a solution whose consumption time is less than the required time. When the consumption time is greater than the required time, the consumption time is made less than the required time by determining the optimization point and processing the optimization point.

[0119] The optimization point is determined as follows:

[0120] S401, determining connection points on the virtual route map that participate in the moving process;

[0121] S402, counting the usage time of each connection point and sorting them, and in the order sequence, the usage time of the connection points tends to decrease;

[0122] S403, counting the connection points that are still in use after the required time;

[0123] S404: select the connection points that are associated with the connection points that are still in use after the required time and are located in the required sorting segment on the sequence as optimization points.

[0124] In the above content, the connection points involved in the movement process on the virtual route map are divided according to the usage time ( Figure 5 As shown, Figure 5 The connection points are sorted by volume (to indicate the length of usage time). The longer the usage time, the higher the usage rate of the connection point.

[0125] At the same time, the connection points that are still in use after the required time are counted, and then the connection points that are still in use after the required time and have an associated relationship and are located in the required sorting segment on the sequential sequence are taken as optimization points.

[0126] The above method uses the two conditions of time sorting and time requirement to filter out some connection points, and then uses these connection points as optimization points. The association relationship means that there is a route between two connection points, and there are no other connection points on the route.

[0127] The process of processing the optimization point is as follows:

[0128] S501, determining an optimization point associated with an optimization point, and recording the optimization point associated with the optimization point as an associated point;

[0129] S502, transferring the storage units passing through the optimization point to the passing association point according to the usage time sorting;

[0130] When the storage unit passing the optimization point is transferred to the associated point, the associated point is in an idle state or the waiting time of the transferred storage unit is the shortest.

[0131] See also Figure 6 The content of step S501 and step S502 is to transfer a part of the storage units that have passed the optimization point to the associated point (the optimization point associated with the optimization point). The rule is that when the storage units that have passed the optimization point are transferred to the associated point, the associated point is in an idle state or the waiting time of the transferred storage units is the shortest.

[0132] This method can reduce the load of the optimization point and increase the load of the associated point (the optimization point associated with the optimization point) to achieve local load uniformity. The optimization point associated with the optimization point means that there is a route between the two connection points, and there are no other connection points on the route.

[0133] The present invention also provides a new energy monitoring and management device, comprising:

[0134] A data acquisition unit, used to acquire the working state of the energy storage unit, the working state including charging state, discharging state and waiting state;

[0135] A creating unit, used to create a task area in the virtual route map according to task requirements, wherein the task area includes at least one end point;

[0136] an allocating unit, for allocating end points to the energy storage units according to the working states of the energy storage units;

[0137] A simulation unit, used to drive the energy storage units to move in the virtual route map and make all the energy storage units reach the end point;

[0138] A calculation unit, used to calculate each time consumption and distance consumed, where the consumption time includes the movement time of the energy storage unit and the disappearance time of the task area;

[0139] An evaluation unit, used to evaluate the economic efficiency of each moving process and select a moving process that meets the economic efficiency requirements as a solution;

[0140] The virtual route map includes routes and connection points, and the connection points include passing time and passing volume;

[0141] The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

[0142] Furthermore, it also includes:

[0143] A first acquisition unit, used to acquire a terminal associated with the task requirement;

[0144] A creating unit, used for creating a coordinate point at the terminal position in the virtual route map and creating a task area at the coordinate point according to the capacity;

[0145] Wherein, the task area includes a plurality of task sub-areas, and the volume of each task sub-area is related to the energy storage unit in contact with the task sub-area;

[0146] Each task sub-region enters a hidden state after contacting an energy storage unit and transfers energy to the energy storage unit in contact with the task sub-region. After the energy transfer is completed, the task sub-region disappears.

[0147] Furthermore, it also includes:

[0148] A first determining unit, used to determine the working state of the energy storage unit, the working state including the charging state, the discharging state and the waiting state;

[0149] an allocation unit, for allocating an end point to each working state of the energy storage unit;

[0150] The second determining unit is used to use the end point of each working state allocation as the end point of the energy storage unit.

[0151] Furthermore, it also includes:

[0152] A third determining unit, used to determine the waiting time according to the working state of the energy storage unit;

[0153] A first processing unit, configured to increase the number of the energy storage units and assign a working state to each of the energy storage units when the energy storage units have multiple working states;

[0154] The second processing unit is used to perform a termination process on the other energy storage units when one of the energy storage units reaches an end point.

[0155] Further, driving the energy storage unit to move in the virtual route map and making all the energy storage units reach the end point also includes comparing the consumed time with the required time;

[0156] When the consumed time is greater than the required time, determine the optimization point and repeat the above process to make the consumed time less than the required time;

[0157] When the consumed time is less than the required time, the moving processes are sorted according to the consumed distance and the first moving process in the sequence is selected as the solution.

[0158] Furthermore, it also includes:

[0159] A fourth determining unit, used to determine the connection points involved in the moving process on the virtual route map;

[0160] The first statistical unit is used to count the usage time of each connection point and sort them. In the order sequence, the usage time of the connection points tends to decrease;

[0161] A second counting unit is used to count the connection points that are still in use after the required time;

[0162] The selection unit is used to select the connection points which are associated with the connection points which are still in use after the required time and are located in the required sorting segment on the sequential sequence as the optimization points.

[0163] Furthermore, it also includes:

[0164] A fifth determining unit is used to determine an optimization point associated with the optimization point, and the optimization point associated with the optimization point is recorded as an associated point;

[0165] An adjustment unit, for transferring storage units passing through the optimization point to passing through the associated point according to the usage time sorting;

[0166] When the storage unit passing the optimization point is transferred to the associated point, the associated point is in an idle state or the waiting time of the transferred storage unit is the shortest.

[0167] In one example, the unit in any of the above devices can be one or more integrated circuits configured to implement the above methods, such as: one or more application specific integrated circuits (ASICs), or, one or more digital signal processors (DSPs), or, one or more field programmable gate arrays (FPGAs), or a combination of at least two of these integrated circuit forms.

[0168] For another example, when the units in the device can be implemented in the form of a processing element scheduling program, the processing element can be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program. For another example, these units can be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0169] Various objects such as various messages / information / equipment / network elements / systems / devices / actions / operations / processes / concepts that may appear in the present invention are named. It can be understood that these specific names do not constitute a limitation on the relevant objects. The names assigned may change with factors such as scenarios, contexts or usage habits. The understanding of the technical meaning of the technical terms in the present invention should be mainly determined from the functions and technical effects embodied / executed in the technical scheme.

[0170] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0171] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0172] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0173] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0174] It should also be understood that in various embodiments of the present invention, the first, second, etc. are only used to indicate that multiple objects are different. For example, the first time window and the second time window are only used to indicate different time windows. They should not have any impact on the time window itself, and the first, second, etc. mentioned above should not impose any limitations on the embodiments of the present invention.

[0175] It should also be understood that in the various embodiments of the present invention, unless otherwise specified or there is any logical conflict, the terms and / or descriptions between the different embodiments are consistent and can be referenced to each other, and the technical features in the different embodiments can be combined to form new embodiments according to their internal logical relationships.

[0176] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, which is stored in a computer-readable storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned computer-readable storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0177] The present invention also provides a new energy management and monitoring system, the system comprising:

[0178] one or more memories for storing instructions; and

[0179] One or more processors are used to call and run the instructions from the memory to perform the method described in the above content.

[0180] The present invention also provides a computer program product, which includes instructions. When the instructions are executed, the system (terminal device or network device) performs the operation of the system (terminal device or network device) corresponding to the above method.

[0181] The present invention also provides a chip system, which includes a processor for implementing the functions involved in the above content, such as generating, receiving, sending, or processing the data and / or information involved in the above method.

[0182] The chip system may be composed of chips, or may include chips and other discrete devices.

[0183] The processor mentioned in any of the above places can be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for executing programs for controlling the above-mentioned feedback information transmission method.

[0184] In a possible design, the chip system also includes a memory, which is used to store necessary program instructions and data. The processor and the memory can be decoupled and respectively set on different devices, connected by wire or wireless means to support the chip system to implement various functions in the above embodiments. Alternatively, the processor and the memory can also be coupled on the same device.

[0185] Optionally, the computer instructions are stored in a memory.

[0186] Optionally, the memory is a storage unit within the chip, such as a register, a cache, etc. The memory can also be a storage unit within the terminal located outside the chip, such as a ROM or other types of static storage devices that can store static information and instructions, RAM, etc.

[0187] It can be understood that the memory in the present invention can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0188] The nonvolatile memory may be a ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), or a flash memory.

[0189] The volatile memory may be a RAM, which is used as an external cache. There are many different types of RAM, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct memory bus RAM.

[0190] The embodiments of this specific implementation method are all preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Therefore, all equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A new energy management and monitoring method, characterized in that: include: Obtaining the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state; In the virtual line map, a task area is created according to the task requirements. The task area includes at least one end point. The task area refers to a terminal specified in the task to interact with the power grid. Each terminal has a coordinate. Here, the coordinate of the terminal is referred to as the end point. assigning end points to energy storage units according to the operating status of the energy storage units; Drive the energy storage units to move in the virtual route map and make all the energy storage units reach the end point; Calculate each time consumption and distance consumed. The consumption time includes the movement time of the energy storage unit and the disappearance time of the task area. Evaluate the economic feasibility of each moving process and select the moving process that meets the economic requirements as the solution; The virtual circuit diagram includes circuits and connection points. The connection points include the passing time and the passing amount. The connection points correspond to switches in the circuit. The passing time refers to the switch state. The passing amount refers to the circuit capacity at the connection point. The maximum capacity is selected. The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

2. The new energy management and monitoring method according to claim 1 is characterized in that: Create a task area based on task requirements including: Get the terminal associated with the task requirement; Creating a coordinate point at the terminal location in the virtual route map and creating a task area at the coordinate point according to the capacity; Wherein, the task area includes a plurality of task sub-areas, and the volume of each task sub-area is related to the energy storage unit contacted by the task sub-area; Each task sub-region enters a hidden state after contacting an energy storage unit and transfers energy to the energy storage unit in contact with the task sub-region. After the energy transfer is completed, the task sub-region disappears.

3. The new energy management and monitoring method according to claim 2 is characterized in that: Assigning endpoints to energy storage units according to the working status of the energy storage units includes: Determine the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state; Assigning an endpoint to each operating state of the energy storage unit; The end point of each working state allocation is used as the end point of the energy storage unit.

4. The new energy management and monitoring method according to claim 1 is characterized in that: When the energy storage unit is driven to move in the virtual circuit diagram, it also includes: Determine the waiting time according to the working status of the energy storage unit; When the energy storage unit has multiple working states, increasing the number of the energy storage units and assigning a working state to each of the energy storage units; When one of the energy storage units reaches the end point, the other energy storage units are deactivated.

5. The new energy management and monitoring method according to any one of claims 1 to 4, characterized in that: Driving the energy storage units to move in the virtual route map and making all the energy storage units reach the end point, and also including comparing the consumed time with the required time; When the consumed time is greater than the required time, determine the optimization point and repeat the above process to make the consumed time less than the required time; When the consumed time is less than the required time, the moving processes are sorted according to the consumed distance and the first moving process in the sequence is selected as the solution.

6. The new energy management and monitoring method according to claim 5, characterized in that: The optimization points include: Determine the connection points on the virtual route map that are involved in the movement process; Count the usage time of each connection point and sort them. In the order sequence, the usage time of the connection points tends to decrease; Count the number of connection points that are still in use after the required time; The connection points that are associated with the connection points that are still in use after the required time and are located in the required sorting segment in the sequence sequence are used as optimization points.

7. The new energy management and monitoring method according to claim 6, characterized in that: The process of processing the optimization point includes: Determine the optimization points associated with the optimization points, and record the optimization points associated with the optimization points as associated points; Transferring storage units that have passed the optimization point to the passing association point according to the usage time sorting; When the storage unit passing the optimization point is transferred to the associated point, the associated point is in an idle state or the waiting time of the transferred storage unit is the shortest.

8. A new energy monitoring and management device, characterized in that: include: Obtaining the working state of the energy storage unit, the working state includes charging state, discharging state and waiting state; In the virtual line map, a task area is created according to the task requirements. The task area includes at least one end point. The task area refers to a terminal specified in the task to interact with the power grid. Each terminal has a coordinate. Here, the coordinate of the terminal is referred to as the end point. assigning end points to energy storage units according to the operating status of the energy storage units; Drive the energy storage units to move in the virtual route map and make all the energy storage units reach the end point; Calculate each time consumption and distance consumed. The consumption time includes the movement time of the energy storage unit and the disappearance time of the task area. Evaluate the economic feasibility of each moving process and select the moving process that meets the economic requirements as the solution; The virtual circuit diagram includes circuits and connection points. The connection points include the passing time and the passing amount. The connection points correspond to switches in the circuit. The passing time refers to the switch state. The passing amount refers to the circuit capacity at the connection point. The maximum capacity is selected. The throughput of the connection point is dynamically adjusted according to the energy storage units passing through the connection point.

9. A new energy management and monitoring system, characterized in that: The system comprises: one or more memories for storing instructions; and One or more processors, configured to call and execute the instructions from the memory to perform the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer readable storage medium comprises: The program, when the program is executed by a processor, the method according to any one of claims 1 to 7 is executed.

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