Direct-current electric energy router regulation and control method and device based on flexible direct-current micro-grid

Abstract

The invention provides a DC electric energy router regulation and control method and device based on a flexible DC micro-grid, and the method comprises the steps: carrying out the collection of a transmission path, a power node and a load node of a power distribution network, and constructing a power grid topological structure; obtaining a target energy demand and a control center control instruction; inputting the target energy demand and the control instruction of the control center into an electric energy scheduling decision model, and outputting an electric energy scheduling scheme; collecting a network operation state, verifying the electric energy scheduling scheme in combination with the power grid topological structure, adaptively adjusting the energy transmission path and the transmission quantity, and generating an optimized scheduling scheme; and performing execution regulation and control on the electric energy router based on the optimal scheduling scheme. According to the invention, the technical problems of inflexible and unsafe electric energy scheduling and low electric energy utilization rate in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the field of energy regulation technology, and in particular to a direct current power router regulation method, device, equipment and medium based on a flexible direct current microgrid. Background Art

[0002] In recent years, with the development of smart grids, the production, transmission and use of grid electricity have gradually realized the informatization and networking of grid electricity dispatching; the number of micro-grids composed of distributed power generation devices has also gradually increased. These are of great significance to promoting energy conservation and emission reduction and achieving sustainable energy development, but at the same time they also put forward higher requirements for grid electricity dispatching.

[0003] At present, electric energy dispatching mainly dispatches electric energy from the power grid to the terminal. The electric energy converted by distributed power generation devices cannot be transmitted from the terminal to the power grid, resulting in failure to fully utilize the electricity, causing energy waste and low energy utilization rate. At the same time, there is a problem of inability to dispatch electric energy between terminals, strong dependence on the power grid, and inflexible electric energy dispatching. Although there are multi-directional control schemes in the current plan, due to imperfect dispatching decisions and dispatching schemes, voltage or current fluctuations will occur when dispatching electric energy, affecting normal power supply, and the risk factor is high. Summary of the invention

[0004] The present invention provides a DC power router control method, device, equipment and medium based on a flexible DC microgrid, aiming to overcome the technical problems of inflexible and unsafe power scheduling and low power utilization rate existing in the prior art.

[0005] To this end, the purpose of the present invention is to propose a DC power router control method based on a flexible DC microgrid, comprising:

[0006] The transmission path, power supply nodes and load nodes of the distribution network are collected to construct a power grid topology structure, in which each node has a location identifier. The power grid topology structure can be refined into multiple local topologies, each of which is equipped with a DC power router;

[0007] Obtain target energy demand and control instructions from the control center;

[0008] Input the target energy demand and the control command of the control center into the electric energy dispatch decision model, and output the electric energy dispatch plan, wherein the electric energy dispatch plan includes the energy transmission path and the transmission amount;

[0009] Collect network operation status, verify the power dispatch plan based on the grid topology, adapt and adjust the energy transmission path and transmission volume, and generate an optimized dispatch plan;

[0010] Based on the optimized scheduling scheme, the execution of the DC power router is regulated.

[0011] The grid topology connects the components in the distribution network through switch devices, abstracts the power nodes and load nodes, abstracts the power lines connecting the nodes into transmission paths, and represents the relationship between the nodes in the form of a topology diagram; the steps of constructing the grid topology include:

[0012] Based on the regionality, the distribution network transmission paths, power nodes and load nodes are collected to generate multiple local topological structures;

[0013] Determine energy flow standards based on node energy supply requirements;

[0014] Performing network splicing on multiple local topological structures to generate a power grid topological structure, wherein the power grid topological structure includes a backbone topological structure;

[0015] Traverse the grid topology and identify matching energy flow standards.

[0016] The steps of constructing the electric energy dispatch decision model include:

[0017] Collect historical power grid dispatch information within a predetermined time interval;

[0018] Analyze and screen the historical dispatching information of the power grid to determine multiple groups of sample dispatching information, wherein the multiple groups of sample dispatching information include multiple sample demand information, multiple sample control instructions and multiple sample dispatching plans;

[0019] Constructing a scheduling decision tree based on multiple sample demand information, multiple sample control instructions and multiple sample scheduling methods;

[0020] Based on the scheduling decision tree, the electric energy scheduling decision model is trained and generated.

[0021] Among them, the network operation status of the distribution network is collected, the power dispatching plan is verified in combination with the power grid topology structure, and the energy transmission path and transmission amount of the power dispatching plan are adjusted to adapt, including:

[0022] Collect network operation status, including real-time power supply and response speed;

[0023] Traverse the grid topology, evaluate the power dispatching scheme based on the real-time power supply and response speed, and generate the energy efficiency of the scheme trial execution;

[0024] Based on the energy efficiency of the trial execution of the scheme, the energy transmission path and transmission amount are adjusted.

[0025] Among them, based on the energy efficiency of the trial implementation of the scheme, the energy transmission path and transmission amount are adjusted, including:

[0026] Analyze and determine the energy efficiency of the program execution and determine the scheduling execution status, where the scheduling execution status includes supply and demand inconsistency and response delay;

[0027] When the dispatch execution status is response delay, locate the abnormal response point in the power grid topology structure and make adjustments based on the location results;

[0028] When the scheduling execution status is inconsistent between supply and demand, a bidirectional feedback adjustment is performed on the backbone topology and multiple local topologies to generate a bidirectional flow feedback strategy;

[0029] Based on the two-way flow feedback strategy, the power dispatch plan is optimized and adjusted.

[0030] When the scheduling execution state is inconsistent between supply and demand, a bidirectional feedback adjustment is performed on the trunk topology and multiple local topologies to generate a bidirectional flow feedback strategy, including:

[0031] When supply exceeds demand, forward scheduling is performed to store surplus capacity based on multiple local topologies;

[0032] When supply is less than demand, synchronous assistance performs reverse scheduling, using multiple local topological structures as energy sources for feedback scheduling.

[0033] This includes periodic monitoring, data collection, scalability and performance evaluation, and early warning based on the evaluation results, including:

[0034] Setting scheduled monitoring periods;

[0035] Based on the collection of newly added nodes in the predetermined monitoring period, scalable capacity evaluation is performed to generate scalability evaluation results;

[0036] Collect historical operation data based on a predetermined monitoring cycle;

[0037] Active fault isolation, power quality, and uninterrupted power supply capability are used as evaluation criteria, and judgment and analysis are performed based on historical operation data to determine the performance evaluation results;

[0038] Based on the scalability evaluation results and the performance evaluation results, early warning information is generated, wherein the early warning information carries a level identifier and a dimension identifier.

[0039] In addition, the present invention also aims to provide a DC power router control device based on a flexible DC microgrid, comprising:

[0040] Construct a power grid topology module, which is used to collect the transmission path, power nodes and load nodes of the distribution network and construct a power grid topology structure, in which each node has a location identifier. The power grid topology structure can be refined into multiple local topology structures, each of which is equipped with a DC power router;

[0041] The demand information collection module is used to obtain the target energy demand and control instructions from the control center;

[0042] The output scheduling scheme module is used to input the target energy demand and the control instructions of the control center into the electric energy scheduling decision model and output the electric energy scheduling scheme, wherein the electric energy scheduling scheme includes the energy transmission path and the transmission amount;

[0043] The optimization scheduling module is used to collect network operation status, verify the power scheduling plan in combination with the grid topology, adapt and adjust the energy transmission path and transmission amount, and generate an optimized scheduling plan;

[0044] The execution control module performs execution control of the power router based on the optimized scheduling plan.

[0045] The present invention also aims to provide a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements any of the methods in the aforementioned technical solutions.

[0046] The present invention also aims to provide a non-temporary computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the method of the above-mentioned technical solution is implemented.

[0047] Different from the prior art, the DC power router control method based on the flexible DC microgrid provided by the present invention builds a power grid topology structure by collecting the transmission path, power supply nodes and load nodes of the distribution network; obtains the target energy demand and the control instructions of the control center; inputs the target energy demand and the control instructions of the control center into the power dispatch decision model, and outputs the power dispatch plan; collects the network operation status, verifies the power dispatch plan in combination with the power grid topology, adapts and adjusts the energy transmission path and transmission amount, and generates an optimized dispatch plan; based on the optimized dispatch plan, performs execution control of the power router. Through the present invention, the technical problems of inflexible and unsafe power dispatch and low power utilization rate existing in the prior art can be overcome. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0049] Figure 1 It is a flow chart of a DC power router control method based on a flexible DC microgrid provided by the present invention.

[0050] Figure 2 It is a flow chart of a generation power dispatch decision model in a DC power router control method based on a flexible DC microgrid provided by the present invention.

[0051] Figure 3 It is a flow chart of an optimized electric energy dispatching scheme in a DC power router control method based on a flexible DC microgrid provided by the present invention.

[0052] Figure 4 It is a structural schematic diagram of a DC power router control device based on a flexible DC microgrid provided by the present invention.

[0053] Figure 5 It is a structural schematic diagram of a non-transitory computer-readable storage medium storing computer instructions provided by the present invention. DETAILED DESCRIPTION

[0054] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0055] A DC power router control method based on a flexible DC microgrid according to an embodiment of the present invention is described below with reference to the accompanying drawings.

[0056] Figure 1 A schematic flow chart of a DC power router control method based on a flexible DC microgrid provided in an embodiment of the present invention.

[0057] The overall idea in this embodiment is as follows:

[0058] First, construct the power grid topology. Collect the transmission paths, power nodes and load nodes of the distribution network to construct the power grid topology, where each node has a location identifier. The power grid topology can be refined into multiple local topologies, each of which is equipped with a DC power router. Secondly, output the power dispatching plan. Obtain the target energy demand and the control instructions of the control center; input the target energy demand and the control instructions of the control center into the power dispatching decision model, and output the power dispatching plan, where the power dispatching plan includes the energy transmission path and the transmission amount. Finally, perform the optimized power dispatching. Collect the network operation status, verify the power dispatching plan in combination with the power grid topology, adapt and adjust the energy transmission path and the transmission amount, and generate an optimized dispatching plan; based on the optimized dispatching plan, perform execution control of the power router.

[0059] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0060] Embodiment 1

[0061] like Figure 1 As shown, the present application provides a DC power router control method based on a flexible DC microgrid, comprising:

[0062] Step S1000: collecting transmission paths, power nodes and load nodes of the distribution network to construct a power grid topology structure, wherein each node has a location identifier, and the power grid topology structure can be refined into multiple local topologies, each of which is equipped with a DC power router.

[0063] Specifically, the topology of a power grid refers to the connection of busbars, generators, synchronous motors, load points and other components through switchgear such as circuit breakers, which are abstracted into nodes that are independent of their style, including power supply nodes and load nodes, and the power lines connecting these nodes are abstracted into transmission paths, and then the relationship between these nodes is represented in the form of a topological graph. First, a graph database is established. The database fields include the name, model, frequency, power, location, high-definition pictures, IP identification, etc. of the equipment. Then, the Beidou high-precision positioning technology is used to collect power grid data, and the corresponding equipment data is entered into the database according to the power grid management rules, and summarized into a basic data database, and then the data in the database is reviewed and improved. Finally, the topology system is used to derive the topology of the power grid according to the topological logic of "substation-line-station-terminal".

[0064] In establishing the power grid topology, each local topology is first constructed. The power grid voltage level is divided into different voltage levels. The high-voltage topology can be refined into multiple low-voltage topologies. For example, the 35KV power grid topology contains multiple 10KV, 6KV and other power grid topologies with voltage levels lower than 35KV. In order to achieve accurate dispatch of electric energy between nodes, each local power grid is equipped with a DC power router, and the DC power router is marked with a location and IP address. The power grid is regulated and controlled, and the energy supply demand of each node, the historical dispatch information of the node, the network operation status, the evaluation scalability data, etc. are collected. The power grid data is stored and uploaded to provide data support for the upper-level dispatch system management. Constructing the power grid topology and configuring the DC power router provide data support for the subsequent collection of power grid data and the formation of a dispatch plan, achieving the technical effect of monitoring various power grid data.

[0065] Step S2000: Obtain target energy demand and control instructions from the control center.

[0066] Specifically, the target energy demand refers to the electric energy that each load needs to consume under normal operating conditions; the control center control instruction is the power control instruction formed by the upper-level scheduling system to supply power to the target terminal according to the terminal target energy demand. The DC power router handles the needs of multiple terminals at the same time, so it provides multiple ports and is connected to multiple local area networks. The DC power router provides multiple types of interfaces, such as DC 400V, AC single-phase 220V, etc. The DC power router collects the power data required by each port, which contains the power standard for the normal operation of the equipment that the router is responsible for, and feeds it back to the control center of the upper-level scheduling system. The control center makes power scheduling based on the feedback results of the DC power router and the feedback of the surrounding DC power routers, which can be power grid to terminal scheduling, terminal to grid scheduling, and terminal to terminal scheduling. Therefore, compared with the single scheduling scheme of power transmission from the power grid to the terminal, the DC power router can accurately monitor the power grid and collect data to achieve the use of multi-directional power scheduling schemes, providing technical support for the realization of safe and flexible power scheduling, thereby improving energy utilization.

[0067] Step S3000: inputting the target energy demand and the control command of the control center into the electric energy dispatch decision model, and outputting the electric energy dispatch plan, wherein the electric energy dispatch plan includes the energy transmission path and the transmission amount;

[0068] Specifically, the electric energy dispatch decision model refers to a data model generated by a computer dispatch system for making decisions on the optimal electric energy dispatch plan, which is used to ensure the operational safety and power supply reliability of the power grid. First, an equivalent model of electricity consumption in each part of the power grid is established by combining the target energy demand with the power grid topology. The equivalent model is an abstract graph. The power nodes and load nodes in the power grid topology are the nodes of the graph, and the transmission paths are the edges of the graph. Secondly, the loss parameters are calculated according to the weather and region. For the convenience of calculation, the loss can be marked with an approximate linear representation and calculated according to 0.05KVA per kilometer of AC power loss. Finally, according to the control instructions of the control center, the Dijkstra algorithm is used for dispatch analysis and the electric energy dispatch plan is output. The electric energy dispatch plan refers to the electric energy distribution and transmission plan customized according to the dispatch rules and the power situation of the power grid, which is generated under the condition of ensuring stable power supply operation. The transmission path refers to the power supply path of electric energy in the process of dispatching and flowing, including power supply from the power grid to the target, power supply from other local power grids to the target, power supply from the target to the power grid, power supply from the target to other local power grids, etc. The transmission volume refers to the power to ensure the normal operation of the target equipment and the loss of power in the transmission path, which is then allocated to the power supply that should be transmitted by each transmission path according to the dispatch plan. The power dispatch decision model outputs the power dispatch plan, which provides a solution basis for the subsequent control of the DC power router to execute regulation, so that the dispatch of electric energy can be flexibly dispatched on the basis of safety and stability, thereby improving the utilization rate of energy.

[0069] Step S4000: Collect network operation status, verify the power dispatching plan in combination with the power grid topology, adapt and adjust the energy transmission path and transmission amount, and generate an optimized dispatching plan;

[0070] Specifically, the network operation state refers to the operation state of the power grid when the power dispatching plan is output. Power dispatching can be performed in the normal operation state and the warning state of the power grid. The operation state of the network that needs to be dispatched is collected through the DC power router and fed back to the control system. When the operation state is the normal operation state and the warning state, the obtained power dispatching plan is verified in combination with the real-time power grid topology. Because the power grid topology in the power system will change due to load changes, equipment changes, fault tripping, etc., even local changes in the power grid topology may cause overload of transmission lines, voltage crossing, and overload equipment to exit operation under the protection of the system, and then develop into a large-scale power grid structure change. Therefore, in order to ensure the safe and stable operation of the power system, it is necessary to simulate the power dispatching plan through the topology structure before implementing the power dispatching, so as to escort the flexible regulation of electric energy. Adjust the power dispatching plan according to the simulation results, including the transmission path and transmission volume. For example, the power dispatching plan obtained will call for power nearby for economic reasons, but the simulation found that it will affect the safety of the power grid structure, and the transmission path needs to be changed at this time; for another example, the power dispatching plan obtained will dispatch the transmission volume that meets the standards for the local power grid, but the simulation found that the transmission line cannot carry the scheduled transmission volume, and the transmission volume needs to be updated at this time to obtain the optimal dispatching plan to improve the safety, economy, and robustness of dispatched power. Dispatching power through the optimized dispatching plan ensures the safety of flexible dispatching of power, maximizes the use of power, and improves energy utilization.

[0071] Step S5000: Based on the optimized scheduling scheme, the execution of the power router is regulated.

[0072] Specifically, the optimized dispatching scheme refers to the optimal dispatching scheme obtained after verification and adjustment of the power dispatching scheme through the power grid topology structure. The dispatching control center will convert the optimized dispatching scheme into computer instructions to control the DC power router. The DC power router accepts, translates and executes the control strategy issued by the dispatching control system in combination with the entire power grid, completes the operation control task of the microgrid system, and realizes a series of regulation such as multi-energy complementarity, on / off-grid switching operation, energy storage, and data storage. Through the execution and regulation of the power router, the safe and flexible dispatching of the power grid is realized, thereby saving the use of power and improving the utilization rate of power, thereby improving the utilization rate of renewable energy and non-renewable energy.

[0073] Furthermore, in the embodiment of the present invention, step S1000 specifically includes:

[0074] Step S1100: collecting the distribution network transmission paths, power supply nodes and load nodes based on regionality, and generating multiple local topological structures;

[0075] Step S1200: determining energy flow standards based on node energy supply requirements;

[0076] Step S1300: performing network splicing on multiple local topology structures to generate a power grid topology structure, wherein the power grid topology structure includes a backbone topology structure;

[0077] Step S1400: traverse the power grid topology structure and perform matching identification of energy flow standards.

[0078] Specifically, the local topology refers to the topology of the power grid with a voltage lower than the main voltage of the distribution network. First, a graph database of the local power grid is constructed to store the equipment data and power grid environment information in the power grid. The database fields include power, rated voltage, altitude, ambient temperature, positioning, etc. Then, the cables, busbars, generators, transformers, power storage devices, loads and other components in the local power grid are collected on the spot, and the data is entered into the database and classified into power-consuming equipment, power-generating equipment, and transmission equipment. Finally, the database is imported into the topology map making software, and the local topology is constructed according to the logic of "power node-transmission path-load node". In the process of constructing the topology structure, the topology map making software first abstracts the power-incoming equipment in the local power grid as the power node, the power-consuming equipment as the load node, and the line connecting the nodes according to the actual power transmission relationship is abstracted as the transmission path; then, the nodes are marked in the topology map according to the relative position of the latitude and longitude of the equipment, and the node position, voltage, power and other information are marked; finally, the nodes are connected by lines corresponding to the actual transmission lines, and the local topology is generated.

[0079] Node energy demand refers to the electric energy that the power supply node needs to provide while ensuring the normal operation of the load node. The energy demand is calculated according to the functional requirements in the direction of "terminal-line-station transformer-line-transformer-grid". The load is calculated by the required coefficient method, and then the electric energy transmitted and supplied by each line per unit time is obtained. This electric energy is the energy required for normal operation of each device. Integrating the local power grid to ensure the transmission, distribution, and flow of electric energy required for normal operation is the energy flow standard.

[0080] To splice the local power grid topology into the power grid topology, it is necessary to reconstruct the topology of some devices at the boundary of each area, so that the network splicing of the topology of the power grid system can be correctly spliced. Before merging, the boundaries of the topology structure must be defined, and the topology of the overlapping parts must be compared. For example, the transformer in the local power grid is used as a power node, and it is merged into the power grid topology and changed into a load node. After the merger, the structure is topologically verified to check whether there are devices of different voltage levels connected together. For the power nodes at the boundary, it is necessary to check whether the overlapping parts are consistent, and finally realize the merger of local topologies of multiple levels and multiple regions. The topology with the highest voltage of the distribution network topology as the transmission path is the main line topology.

[0081] Traverse the grid topology, match from the lowest voltage level to the highest voltage level, and match and identify the grid topology according to the energy flow standard determined by the local topology. For example, the voltage level of the terminal user is generally 220V. All the power demands on the same level and the same transmission route are integrated into the upper voltage level, which can be 10KV voltage level, and then the power required for this voltage level is integrated, and the high voltage is traversed in turn, and finally summarized into the backbone topology, so as to determine the power demand and supply from the distribution network bus to the terminal user, that is, to identify the energy flow of the grid topology. The construction of the grid topology includes all the information from the highest voltage level to the terminal in the distribution network, including all real-time information of all power plants, substations, distributed power sources, energy storage devices, cables, etc. from high voltage to low voltage, realizing the information integration and resource integration of the upper and lower dispatching systems, so that the dispatching system can more comprehensively grasp the operation of the grid, thereby providing technical support for the safe and flexible mobilization of electric energy and improving the utilization rate of energy.

[0082] Further, such as Figure 2 As shown, step S3000 specifically includes:

[0083] Step S3100: Collecting historical power grid dispatch information within a predetermined time interval;

[0084] Step S3200: dissecting and screening the historical dispatching information of the power grid to determine multiple groups of sample dispatching information, wherein the multiple groups of sample dispatching information include multiple sample demand information, multiple sample control instructions and multiple sample dispatching plans;

[0085] Step S3300: constructing a scheduling decision tree based on multiple sample demand information, multiple sample control instructions and multiple sample scheduling methods;

[0086] Step S3400: Based on the scheduling decision tree, train and generate an electric energy scheduling decision model.

[0087] Specifically, the historical dispatch information of the power grid refers to the information reflecting the power grid operation and power control and regulation of the power transmission between the dispatch centers at all levels and the power plants, energy storage equipment, substations, and microgrids stored by the DC power routers when the power system was running in the past. The scheduled time interval is usually set to one year, and the specific scheduled time can be set according to the specific situation of the power grid. The historical dispatch information of the power grid in a year is collected, and the historical dispatch information is dissected according to the data requirements, that is, the information is divided into three parts, namely, energy supply demand information, control center instruction information, and dispatch plan information. The dissected information is screened according to different power level operation characteristics and dispatch characteristics, and the dispatch information at different times, the dispatch information of different power grid operation conditions, and the dispatch information of different dispatch results are screened out, and multiple groups of sample dispatch information are obtained, which include a variety of different situations of power grid dispatch. At the same time, each sample information contains sample demand information, sample control instructions, and sample dispatch plans.

[0088] The scheduling decision tree is constructed by the obtained sample scheduling information. The scheduling decision tree refers to a set of conditional probability models summarized from the sample scheduling information, which can correctly classify and judge the actual situation, and is used to evaluate the safety and economy of the power scheduling plan and judge the feasibility of the scheduling plan. The decision tree is constructed using the ID3 algorithm (a greedy algorithm). First, all the features in the sample scheduling information are abstracted into nodes, a data set is established, and then the sub-nodes of the current feature are traversed to find the most suitable partition point, and the purity information of all sub-nodes after the partition is calculated. Finally, all features are traversed, the optimal partition method is selected, the final sub-node is obtained, and the decision tree is created. After the decision tree is built, the data is preprocessed, mainly to process the missing values ​​of the data and fill them according to the business logic. Then, the decision tree is trained and optimized through historical scheduling information, test data, and the modeling limit is tested. The parameters are adjusted to the optimal value, and finally pruning optimization and model extraction are performed to generate the power scheduling decision model. A decision-making model is established through the historical dispatch information of the power grid, and the optimal power grid dispatch plan is selected through the decision-making model to improve the safety and economy of power grid dispatch, thereby improving energy utilization while ensuring safe and flexible dispatch of the power grid.

[0089] Furthermore, step S4000 specifically includes:

[0090] Step S4100: collecting network operation status, wherein the network operation status includes real-time power supply and response speed;

[0091] Step S4200: traverse the grid topology, evaluate the power dispatching scheme in combination with the real-time power supply and response speed, and generate the scheme trial execution energy efficiency;

[0092] Step S4300: Based on the trial execution energy efficiency of the scheme, adjust the energy transmission path and transmission amount.

[0093] Specifically, the network operation status refers to the real-time network operation status presented by specific data such as the transmission direction, transmission status, transmission data, and topological structure of electric energy in the power grid. The network operation is monitored and analyzed through the DC power router, and the collected results are transmitted to the upper control system. The router information, actual network connection, and status information of each device are displayed in the control system to verify the network connection status of each port and the details of the flow and distribution of electric energy between different devices, so as to obtain the real-time and specific network operation status. Among them, the real-time power supply and response speed can be used to evaluate the power dispatching scheme obtained by the decision model. The real-time power supply is the load supply required by the distribution network when the N-1 verification of all feeders in the distribution network and the N-1 verification of the main transformer of the substation are satisfied. Taking the N-1 verification of the distribution network as a prerequisite constraint, the load supply capacity of the existing network is calculated according to the capacity of the main transformer and feeder in the power grid and the topological structure of the network, and the real-time power supply of the existing network is obtained. N-1 verification means that when any component of the power system is fault-free or disconnected due to a fault in the normal operation mode, the various operating indicators of the system can still meet the given requirements. Response speed refers to the speed at which the DC power router and various electrical equipment react to the air conditioning instructions issued by the control system.

[0094] The entire power grid topology is traversed, and the power dispatching scheme obtained by the decision model is evaluated in combination with the actual energy supply and response speed, in order to verify whether the obtained power dispatching scheme meets the power dispatching standards and meets the premise of safe power dispatching. This is equivalent to a simulation run of the power dispatching scheme on the power topology. Through this step, the trial execution energy efficiency of the scheme can be obtained. The trial execution energy efficiency of the scheme refers to the ratio of the power energy played in the simulation dispatching process to the actual energy consumption. Based on the trial operation energy efficiency of the scheme, the transmission path and transmission volume in the power dispatching scheme are further adjusted according to the actual power grid operation status to improve energy efficiency, provide the same power benefit with less energy input, and thus improve energy utilization on the basis of safe and flexible power dispatching.

[0095] Further, such as Figure 3 As shown, step S4300 specifically includes:

[0096] Step S4310: Analyze and determine the energy efficiency of the solution execution, and determine the scheduling execution status, wherein the scheduling execution status includes supply and demand inconsistency and response delay;

[0097] Step S4320: when the dispatch execution state is response delay, locate the abnormal response point in the power grid topology structure, and make adjustments based on the location result;

[0098] Step S4330: When the scheduling execution state is inconsistent between supply and demand, a bidirectional feedback adjustment is performed on the trunk topology structure and the multiple local topologies to generate a bidirectional flow feedback strategy;

[0099] Step S4340: Optimize and adjust the power dispatching plan based on the bidirectional flow feedback strategy.

[0100] Specifically, the production, transmission and consumption of electric energy in the power system are completed at the same time. Therefore, the production of electric energy should be balanced with the consumption of electric energy at all times and meet the quality requirements. In order to meet the ever-changing load demand and the requirements for safe operation of power equipment, the operating state of the power system is changing all the time. Therefore, it is necessary to analyze the trial execution energy efficiency of the electric energy dispatching scheme formed by the real-time supply and response speed evaluation, and determine whether the trial execution energy efficiency of the scheme meets the dispatch of the current power grid, so as to determine the dispatch execution state corresponding to the execution energy efficiency of the scheme. The dispatch execution state refers to the specific situation of the electric energy execution when the dispatching scheme is executed. It mainly observes whether there is inconsistency between supply and demand in the local power grid during the dispatching process, and whether there is a response delay in the DC power router and each device. Response delay refers to the DC power router and each device responding to the power dispatching effect later than the expected time when receiving the dispatching instruction. The general response time is between 2.5 seconds and 15 seconds. If the time is exceeded, it means that there is a problem with the device response.

[0101] Previously, in the process of building the power grid topology, the power nodes, load nodes and DC power routers in the structure were located and IP-identified. At this time, when a response delay occurs, the problem point can be quickly located and processed in the power grid topology, and repairs can be made at the location to ensure the safe operation of subsequent power grid power dispatching. Inconsistency between supply and demand means that the required power and the input power are inconsistent for the local power grid or equipment. There are many reasons for the inconsistency between supply and demand. For example, the distribution network is often in a complex natural environment. Changes in the external environment will have a great impact on the operation of system equipment. Strong winds and heavy rains in the natural environment or lightning strikes will affect the distribution network, making it difficult for the distribution network to work; for example, the excessive density of electricity users will increase the operating load of the distribution network and affect the supply and demand relationship between power operation. When there is a mismatch between supply and demand, a two-way feedback adjustment is performed between the main topology of the distribution network and multiple local topologies. The so-called two-way feedback adjustment means that when the electric energy supplied by the power supply side is greater than the electric energy required by the receiving side, the energy storage device on the receiving side can be turned on to disperse and store the electric energy for subsequent electric energy scheduling; when the electric energy on the power supply side is less than the electric energy required by the receiving side, the energy storage device and the power generation device on the receiving side supply power to the power supply side, and the electric energy is merged into the power grid, so as to realize flexible scheduling of electric energy and improve the utilization rate of electric energy. According to the two-way feedback adjustment, a two-way flow feedback strategy of electric energy is generated, and based on this, the obtained electric energy scheduling scheme is adjusted and optimized, so that the electric energy scheduling is safe and flexible, and the utilization rate of energy is improved.

[0102] Furthermore, step S4330 specifically includes:

[0103] Step S4331: when supply exceeds demand, forward scheduling is performed, and surplus storage is performed based on multiple local topological structures;

[0104] Step S4332: When supply is less than demand, synchronous assistance is performed to perform reverse scheduling, using multiple local topological structures as power sources for feedback scheduling.

[0105] Specifically, in the power system, the production, change, transmission and distribution of electric energy are completed at the same time. In an ideal state, the production of electric energy should be balanced with the consumption of electric energy at all times, so as to avoid energy waste. However, in actual situations, various factors such as equipment, environment, and user electricity consumption will cause the problem of imbalance between supply and demand, which can be mainly divided into two situations: supply exceeds demand and supply is less than demand. Among them, in order to ensure the stability of power supply when supply exceeds demand, the quality of electric energy will cause loss and waste of electric energy. For example, in some periods of time, when electricity consumption is low, it will be wasted on the transmission line; for example, the use of large-scale battery storage will increase costs; therefore, when supply exceeds demand, the excess electric energy is distributed and stored in the storage device of the nearby local power grid for surplus storage. When supply is less than demand, the power supply side can be powered to achieve supply and demand balance, and the nearby local power grid or trunk line can also be powered in power dispatching. Among them, when supply is less than demand, there is a risk of causing equipment damage or even grid collapse, and then system decoupling. Therefore, when supply is less than demand, an energy storage device with a local topology structure can be used to reversely supply power to the grid, so as to achieve a balance between supply and demand of grid electricity and achieve the technical effect of safe and flexible scheduling of electricity, thereby improving the utilization rate of electricity.

[0106] In addition, the method of the present invention also includes the steps of periodic monitoring, data collection, scalability and performance evaluation, and early warning according to the evaluation results, specifically including:

[0107] Step S6100: setting a predetermined monitoring period;

[0108] Step S6200: collecting newly added nodes based on a predetermined monitoring period, performing scalable capacity evaluation and generating scalability evaluation results;

[0109] Step S6300: Collecting historical operation data based on a predetermined monitoring period;

[0110] Step S6400: Taking active fault isolation, power quality, and uninterruptible power supply capability as evaluation criteria, performing judgment and analysis based on historical operation data to determine a performance evaluation result;

[0111] Step S6500: Generate warning information based on the scalability evaluation results and the performance evaluation results, wherein the warning information carries a level identifier and a dimension identifier.

[0112] Specifically, in order for newly added devices to be able to access the power grid through the power router and participate in regulation, it is necessary to monitor and evaluate the DC power router. To evaluate the scalability of the DC power router, it is necessary to monitor the data of the router's historical expansion devices, and the selected historical time period is the scheduled monitoring period. The monitoring period is set according to the specific number of historically newly added devices of the DC power router, and the scheduled detection period is generally set to half a year. Based on the data of the scheduled monitoring period, the controllable capacity of the DC power router is monitored, and the scalable capacity of the newly added nodes to be added is evaluated to determine whether the newly added nodes can be connected to the DC power router to obtain the scalability evaluation results. At the same time, based on the data of the scheduled monitoring period, the historical operation status of the newly added nodes within the cycle time is collected to determine whether the obtained scalability evaluation results are feasible. The evaluation dimensions mainly include active fault isolation, power quality, uninterrupted power supply and other standards. Active fault isolation means that after detecting and locating the fault in the distribution network, the DC power router automatically isolates the fault from the system, cuts off all input and output interfaces, and eliminates the impact on other local power grids and distribution networks. Power quality refers to the detection of voltage, frequency and waveform of electric energy by DC power routers during the power transmission process of each interface during the operation of the distribution network to ensure the stable operation of the power grid. Uninterruptible power supply refers to whether the local power grid responsible for each interface of the DC power router can ensure uninterrupted power supply and stable power transmission during the power dispatch process of the DC power router. The dispatching performance of the DC power router is evaluated through different evaluation standards to obtain performance evaluation results.

[0113] The scalability evaluation result limits the expansion of the capacity of the DC power router, and the performance evaluation result limits the expansion of the performance of the DC power router. The early warning information is generated from the combination of the two aspects. The early warning information specifically evaluates the scalability of the DC power router, including the level identification and dimension identification. Among them, the level identification indicates the scheduling capacity that the current DC power router can still access, which is divided into 1-5 levels. The smaller the number, the larger the scalable capacity. For example, the first level is recommended to be accessible; for example, the fifth level is inaccessible; the dimension identification indicates the scheduling performance quality that the current DC power router can achieve for the scalable capacity during the scheduling process, which is divided into 1-3 dimensions. The larger the number, the higher the scheduling performance of the scalable capacity. For example, the first dimension can only guarantee uninterrupted power supply during the scheduling process, and the third dimension can guarantee active fault isolation, high-quality power quality, and uninterrupted power supply capabilities. Among them, when the early warning information is the first level and the third dimension, it is suitable to expand the DC power router. By monitoring the DC power router and evaluating the scalable capacity and performance, the DC power router is guaranteed to dispatch the newly added nodes safely and reliably, thereby improving the utilization rate of power.

[0114] like Figure 4As shown, the present invention also provides a cost optimization device 300 for a photovoltaic system used in a power plant, comprising:

[0115] A power grid topology building module 310 is used to collect transmission paths, power nodes and load nodes of the distribution network and build a power grid topology structure, wherein each node has a location identifier, and the power grid topology structure can be refined into multiple local topology structures, each of which is equipped with a DC power router;

[0116] The demand information acquisition module 320 is used to obtain the target energy demand and the control instructions of the control center;

[0117] The output scheduling scheme module 330 is used to input the target energy demand and the control center control instruction into the electric energy scheduling decision model, and output the electric energy scheduling scheme, wherein the electric energy scheduling scheme includes the energy transmission path and the transmission amount;

[0118] The optimization scheduling scheme module 340 is used to collect the network operation status, verify the power scheduling scheme in combination with the power grid topology, adapt and adjust the energy transmission path and transmission amount, and generate an optimized scheduling scheme;

[0119] The execution control module 350 performs execution control of the power router based on the optimized scheduling solution.

[0120] The power grid topology building module 310 includes:

[0121] Construct a local topology submodule to collect the distribution network transmission paths, power nodes and load nodes based on regionality and generate multiple local topology structures;

[0122] An energy flow determination submodule is used to determine energy flow standards based on node energy supply requirements;

[0123] A topology splicing submodule is used to perform network splicing on multiple local topology structures to generate a power grid topology structure, wherein the power grid topology structure includes a backbone topology structure;

[0124] The matching identification submodule is used to traverse the power grid topology and perform matching identification of energy flow standards.

[0125] The output scheduling scheme module 330 includes:

[0126] The historical dispatch collection submodule is used to collect historical dispatch information of the power grid within a predetermined time interval;

[0127] The sample dispatch information submodule is used to analyze and screen the historical dispatch information of the power grid to determine multiple groups of sample dispatch information, wherein the multiple groups of sample dispatch information include multiple sample demand information, multiple sample control instructions and multiple sample dispatch plans;

[0128] A scheduling decision tree submodule is used to construct a scheduling decision tree based on multiple sample demand information, multiple sample control instructions and multiple sample scheduling methods;

[0129] The electric energy dispatch decision submodule is used to train and generate an electric energy dispatch decision model based on the dispatch decision tree.

[0130] The optimization scheduling scheme module 340 includes:

[0131] The network operation acquisition submodule is used to acquire the network operation status, wherein the network operation status includes real-time power supply and response speed;

[0132] Generate a trial execution submodule, which is used to traverse the power grid topology, evaluate the power dispatch plan based on the real-time power supply and response speed, and generate the energy efficiency of the trial execution of the plan;

[0133] The trial execution adjustment submodule is used to adjust the energy transmission path and transmission amount based on the trial execution energy efficiency of the scheme.

[0134] Among them, the adjustment trial execution submodule includes:

[0135] Determine a scheduling execution unit, which is used to analyze and determine the energy efficiency of the program execution and determine the scheduling execution status, wherein the scheduling execution status includes supply and demand inconsistency and response delay;

[0136] The abnormal response unit is used to locate the abnormal response point in the power grid topology when the dispatch execution state is response delay, and to make adjustments based on the positioning result;

[0137] A bidirectional feedback adjustment unit, used for performing bidirectional feedback adjustment on the trunk topology and multiple local topologies to generate a bidirectional flow feedback strategy when the scheduling execution state is inconsistent between supply and demand;

[0138] The optimization and adjustment scheme unit is used to optimize and adjust the electric energy dispatching scheme based on the bidirectional flow feedback strategy.

[0139] Wherein, the bidirectional feedback adjustment unit comprises:

[0140] A forward scheduling subunit, used to perform forward scheduling when supply exceeds demand, and to perform surplus storage based on multiple local topological structures;

[0141] The reverse scheduling subunit is used to synchronously assist in the execution of reverse scheduling when supply is less than demand, and to perform feedback scheduling on multiple local topological structures as energy sources.

[0142] Furthermore, the device of the present invention further includes a control and maintenance module 360, which specifically includes:

[0143] A monitoring period submodule is used to set a predetermined monitoring period;

[0144] The scalability assessment submodule is used to collect newly added nodes based on a predetermined monitoring period, perform scalable capacity assessment and generate scalability assessment results;

[0145] The historical data collection submodule is used to collect historical operation data based on a predetermined monitoring period;

[0146] The performance evaluation submodule is used to use active fault isolation, power quality, and uninterruptible power supply capability as evaluation criteria, conduct judgment and analysis based on historical operation data, and determine the performance evaluation results;

[0147] The warning information submodule is used to generate warning information based on the scalability evaluation results and the performance evaluation results, wherein the warning information carries a level identifier and a dimension identifier.

[0148] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The DC power router control method based on a flexible DC microgrid and the specific examples in the first embodiment are also applicable to the DC power router control device based on a flexible DC microgrid in this embodiment. Through the above detailed description of the DC power router control method based on a flexible DC microgrid, those skilled in the art can clearly know the DC power router control device based on a flexible DC microgrid in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0149] In order to implement the embodiment, the present invention also proposes an electronic device, comprising: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute each step in the DC power router control method based on a flexible DC microgrid of the aforementioned technical solution.

[0150] like Figure 5 As shown, the non-transitory computer-readable storage medium includes a memory 810 of instructions, an interface 830, and the instructions can be executed by a processor 820 based on a DC power router control based on a flexible DC microgrid to complete the method. Optionally, the storage medium can be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a tape, a floppy disk, and an optical data storage device, etc.

[0151] In order to implement the embodiment, the present invention also proposes a non-temporary computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the DC power router control based on the flexible DC microgrid as in the embodiment of the present invention is implemented.

[0152] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0153] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0154] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present invention belong.

[0155] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute the instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0156] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0157] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0158] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0159] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present invention. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A DC power router control method based on a flexible DC microgrid, characterized in that: include: The transmission path, power supply nodes and load nodes of the distribution network are collected to construct a power grid topology structure, wherein each node has a location identifier, and the power grid topology structure can be refined into multiple local topology structures, each of which is equipped with a DC power router; Obtain target energy demand and control instructions from the control center; Input the target energy demand and the control center control instruction into the electric energy dispatch decision model, and output the electric energy dispatch plan, wherein the electric energy dispatch plan includes the energy transmission path and the transmission amount; Collecting the network operation status, verifying the electric energy dispatching scheme in combination with the grid topology, adapting and adjusting the energy transmission path and the transmission amount, and generating an optimized dispatching scheme; Based on the optimized scheduling scheme, the execution control of the DC power router is performed.

2. The DC power router control method based on flexible DC microgrid according to claim 1 is characterized in that: The grid topology structure connects the components in the distribution network through the switch device, abstracts the power supply node and the load node, abstracts the power line connecting the nodes into a transmission path, and represents the relationship between the nodes in the form of a topology diagram; wherein the steps of constructing the grid topology structure include: Based on the regionality, the distribution network transmission paths, power nodes and load nodes are collected to generate multiple local topological structures; Determine energy flow standards based on node energy supply requirements; Performing network splicing on the multiple local topology structures to generate the power grid topology structure, wherein the power grid topology structure includes a backbone topology structure; The power grid topology is traversed to perform matching identification of the energy flow standard.

3. The DC power router control method based on flexible DC microgrid according to claim 1 is characterized in that: The steps of constructing the electric energy dispatch decision model include: Collect historical power grid dispatch information within a predetermined time interval; Analyzing and screening the historical dispatching information of the power grid to determine multiple groups of sample dispatching information, wherein the multiple groups of sample dispatching information include multiple sample demand information, multiple sample control instructions and multiple sample dispatching plans; Constructing a scheduling decision tree based on the plurality of sample demand information, the plurality of sample control instructions and the plurality of sample scheduling methods; Based on the scheduling decision tree, the electric energy scheduling decision model is trained and generated.

4. The DC power router control method based on flexible DC microgrid according to claim 1 is characterized in that: The collecting network operation status of the power distribution network, verifying the electric energy dispatching scheme in combination with the power grid topology, and adapting and adjusting the energy transmission path and transmission amount of the electric energy dispatching scheme include: Collecting network operation status, wherein the network operation status includes real-time power supply and response speed; Traversing the power grid topology, evaluating the power dispatching scheme in combination with the real-time power supply and the response speed, and generating a trial execution energy efficiency of the scheme; Based on the trial execution energy efficiency of the scheme, the energy transmission path and the transmission amount are adjusted.

5. The DC power router control method based on flexible DC microgrid according to claim 4 is characterized in that: The step of adjusting the energy transmission path and the transmission amount based on the energy efficiency of the scheme trial execution includes: Analyze and determine the execution efficiency of the scheme to determine the scheduling execution status, wherein the scheduling execution status includes supply and demand inconsistency and response delay; When the dispatch execution state is the response delay, locating the abnormal response point in the power grid topology structure, and performing adjustments based on the locating result; When the scheduling execution state is that the supply and demand are inconsistent, performing a bidirectional feedback adjustment on the trunk topology structure and the multiple local topology structures to generate a bidirectional flow feedback strategy; Based on the bidirectional flow feedback strategy, the electric energy dispatching scheme is optimized and adjusted.

6. The DC power router control method based on flexible DC microgrid according to claim 5 is characterized in that: When the scheduling execution state is the inconsistency between supply and demand, performing bidirectional feedback adjustment on the trunk topology structure and the multiple local topology structures to generate a bidirectional flow feedback strategy includes: When supply exceeds demand, forward scheduling is performed to store surplus based on the multiple local topological structures; When supply is less than demand, synchronous assistance is used to perform reverse scheduling, and the multiple local topological structures are used as power supply sources for feedback scheduling.

7. The DC power router control method based on flexible DC microgrid according to claim 1 is characterized in that: It also includes periodic monitoring, data collection, scalability, performance evaluation and early warning steps based on the evaluation results, including: Setting scheduled monitoring periods; Based on the predetermined monitoring period, newly added nodes are collected, and scalable capacity evaluation is performed to generate scalability evaluation results; Based on the predetermined monitoring period, collecting historical operation data; Taking active fault isolation, power quality, and uninterruptible power supply capability as evaluation criteria, performing judgment and analysis based on the historical operation data to determine the performance evaluation results; Based on the scalability evaluation result and the performance evaluation result, a warning message is generated, wherein the warning message carries a level identifier and a dimension identifier.

8. A DC power router control device based on a flexible DC microgrid, characterized in that: include: Constructing a power grid topology module, which is used to collect the transmission path, power supply nodes and load nodes of the distribution network and construct a power grid topology structure, wherein each node has a location identifier, and the power grid topology structure can be refined into multiple local topology structures, each of which is equipped with a DC power router; The demand information collection module is used to obtain the target energy demand and control instructions from the control center; An output scheduling scheme module is used to input the target energy demand and the control center control instruction into the electric energy scheduling decision model, and output the electric energy scheduling scheme, wherein the electric energy scheduling scheme includes an energy transmission path and a transmission amount; An optimization scheduling scheme module is used to collect network operation status, verify the electric energy scheduling scheme in combination with the power grid topology, adapt and adjust the energy transmission path and the transmission amount, and generate an optimization scheduling scheme; The execution control module performs execution control of the power router based on the optimization scheduling scheme.

9. A computer device, characterized in that: The method comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 7 is implemented.

Images