A distributed renewable energy grid-connected coordination system and method

Abstract

The application discloses a kind of renewable energy grid-connected coordination system and method in distributed power grid, belong to grid-connected coordination technical field, its method specifically includes: obtaining the real-time data of renewable energy node, based on the real-time data of renewable energy node, construct global load-supply mapping, based on the global load-supply mapping, based on historical reliability score Priority dynamic switching strategy is set, generates grid-connected path switching schedule, and according to the grid-connected path switching schedule, select path to coordinate;The application quickly identifies affected load when grid-connected exception occurs, automatically filters the path with temporary replacement ability, and generates grid-connected path switching plan through priority dynamic switching strategy, effectively guarantees the continuous power supply of critical load, improves grid-connected coordination response speed and stability.

Description

Technical Field

[0001] This invention belongs to the field of grid connection coordination technology, specifically a renewable energy grid connection coordination system and method in a distributed power grid. Background Technology

[0002] With the rapid development of renewable energy technologies, especially the widespread application of photovoltaic power generation, wind power generation, and biomass energy, more and more distributed renewable energy nodes are being connected to the grid, forming a new power system structure dominated by distributed energy. Compared with the traditional centralized power supply system, distributed power sources have advantages such as environmental friendliness, wide distribution, and flexible access, and can effectively support the optimization of the energy structure.

[0003] However, renewable energy inherently possesses characteristics such as intermittency, volatility, and randomness. For example, photovoltaic power generation is significantly affected by sunlight, while wind power generation is severely constrained by weather conditions. This places higher demands on the stability, security, and dispatch flexibility of the grid after renewable energy is integrated into the traditional power grid. Especially against the backdrop of dynamically changing load demand and widely distributed energy supply nodes, traditional grid coordination methods based on centralized dispatch and fixed topology are no longer adequate for the complex scenarios of renewable energy integration.

[0004] Existing renewable energy grid-connected dispatch methods mainly suffer from the following problems: lack of a unified and structured way of expressing supply and demand mapping, lack of dynamic identification and coordination mechanism for the power supply capacity of multiple nodes, and supply and demand matching relying on manual settings or rule-driven approaches.

[0005] In summary, existing distributed grid coordination and dispatch technologies face technical bottlenecks when dealing with highly dynamic, complex interconnected, and uncertain node states in renewable energy integration scenarios. Therefore, a new method for coordinating renewable energy grid connection in distributed grids is urgently needed. Summary of the Invention

[0006] To address the shortcomings of existing technologies, this invention proposes a renewable energy grid connection coordination system and method in a distributed power grid.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] A method for coordinating the grid connection of renewable energy in a distributed power grid includes:

[0009] Acquire real-time data from renewable energy nodes;

[0010] Based on real-time data from renewable energy nodes, a global load-power supply mapping diagram is constructed. The global load-power supply mapping diagram is obtained by embedding a dynamic power supply topology diagram into a second mapping relationship table. The dynamic power supply topology diagram represents the dynamic connection relationship between power supply nodes and load nodes, and the second mapping relationship table represents the dynamic mapping relationship between power supply nodes and load nodes.

[0011] Based on the global load-power mapping diagram, a priority dynamic switching strategy is set based on historical reliability scores, a grid connection path switching plan is generated, and a path is selected for coordination according to the grid connection path switching plan.

[0012] Specifically, the construction of a global load-power mapping based on real-time data from renewable energy nodes includes:

[0013] Time alignment and structural standardization are performed on real-time data from renewable energy nodes;

[0014] A dynamic power supply topology graph is constructed, and candidate paths are generated based on the dynamic power supply topology graph. In the dynamic power supply topology graph, the nodes are power supply nodes and load nodes, the power supply nodes are renewable energy nodes, and the edges are power supply paths formed by power supply nodes and load nodes.

[0015] Based on the current power demand of each load node and the actual power supply capacity of the power supply nodes in the candidate paths, analyze the mapping relationship between the power supply nodes and the load nodes.

[0016] By combining the dynamic power supply topology diagram and mapping relationship, a global load-function mapping diagram is constructed.

[0017] Specifically, the construction of a dynamic power supply topology map and the generation of candidate paths based on the dynamic power supply topology map include:

[0018] Identify and classify power supply nodes and load nodes;

[0019] Extract the physical connections between nodes and model these connections as edges;

[0020] Construct an initial power supply topology based on power supply nodes, load nodes, and edges;

[0021] The initial power supply topology is dynamically updated based on changes in the topology structure to obtain a dynamic power supply topology.

[0022] For each load node, perform a path search to find a set of power supply nodes that can be reached by that load node, and set them as the candidate path set;

[0023] Assign an attribute label to each candidate path in the candidate path set.

[0024] Specifically, the step of analyzing the mapping relationship between power supply nodes and load nodes based on the current power demand of each load node and the actual power supply capacity of power supply nodes in the candidate paths includes:

[0025] Obtain the current available power data of the power supply nodes in the candidate path centralized power supply node, and at the same time obtain the current power demand data of each complex node;

[0026] The suitability of the connection path between the centralized power supply node and the load node in the candidate path is evaluated to obtain a suitability score.

[0027] Based on the connection paths between the candidate path centralized power supply nodes and load nodes and their adaptability scores, construct the first mapping relationship table;

[0028] Set a mapping strategy, update the first mapping table, and obtain the second mapping table.

[0029] Specifically, the mapping strategy includes:

[0030] If the adaptability score of the power supply node meets the preset adaptability threshold, the power supply node will be assigned to a load node with a priority level higher than the preset threshold or a power demand higher than the preset threshold.

[0031] If a load node is powered by multiple power supply nodes, the power is allocated proportionally according to the fit score from highest to lowest.

[0032] Specifically, the step of generating a grid connection path switching plan table based on the global load-power mapping diagram, setting a priority dynamic switching strategy based on historical reliability scores, and selecting and coordinating paths according to the grid connection path switching plan table includes:

[0033] Identify grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram;

[0034] Based on the grid connection anomaly, the affected load nodes are identified, and a set of candidate switching paths is generated;

[0035] Set a priority dynamic switching strategy, generate a grid connection path switching plan table, and select a path for coordination according to the grid connection path switching plan table.

[0036] Specifically, the step of determining the affected load nodes based on the grid connection anomaly and generating a candidate switching path set includes:

[0037] Based on the grid connection anomaly, the affected load nodes are determined, and candidate paths for the load nodes are searched in the global load-power mapping graph.

[0038] Assess whether the candidate path has the ability to temporarily take over. If so, retain the candidate path; otherwise, remove the candidate path.

[0039] Set all retained candidate paths as the candidate switching path set.

[0040] Specifically, the priority dynamic switching strategy includes:

[0041] Collect candidate path data information from the candidate switching path set;

[0042] Set evaluation metrics for candidate paths, and score and rank each candidate path based on the evaluation metrics;

[0043] Based on the grid connection anomaly, a switching strategy is selected, which includes: main path switching, load reduction and traffic diversion, load priority adjustment and load shaving.

[0044] Based on the switching strategy matching results and the candidate path sorting, a grid connection path switching plan table is generated.

[0045] A renewable energy grid connection coordination system in a distributed power grid, used to implement the aforementioned renewable energy grid connection coordination method in a distributed power grid, includes: a data acquisition module, a mapping graph construction module, and a grid connection coordination module;

[0046] The data acquisition module is used to acquire real-time data from renewable energy nodes;

[0047] The mapping construction module is used to construct a global load-power supply mapping based on real-time data from renewable energy nodes.

[0048] The grid connection coordination module is used to generate a grid connection path switching plan table based on the global load-power mapping diagram and the priority dynamic switching strategy set based on historical reliability scores, and to select a path for coordination according to the grid connection path switching plan table.

[0049] Specifically, the grid connection coordination module includes: a grid connection anomaly identification unit, a candidate switching path set generation unit, and a grid connection coordination unit;

[0050] The grid connection anomaly identification unit identifies grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram;

[0051] The candidate switching path set generation unit is used to determine the affected load nodes based on the grid connection anomaly and generate a candidate switching path set.

[0052] The grid connection coordination unit is used to set priority dynamic switching strategies, generate a grid connection path switching plan table, and select paths for coordination according to the grid connection path switching plan table.

[0053] Compared with the prior art, the beneficial effects of the present invention are:

[0054] This invention proposes a renewable energy grid connection coordination system and method in a distributed power grid. Based on real-time data from renewable energy nodes, it can dynamically construct a global load-power supply mapping diagram, integrating the power grid topology with multi-dimensional supply and demand adaptation relationships to achieve intelligent mapping and dynamic optimization of power supply paths. By introducing evaluation mechanisms such as historical reliability scoring and response characteristics, it accurately judges the stability and scheduling priority of power supply nodes, thereby quickly identifying affected loads when grid connection anomalies occur, automatically selecting paths with temporary replacement capabilities, and generating grid connection path switching plans through priority dynamic switching strategies. This effectively ensures continuous power supply to critical loads and improves the response speed and stability of grid connection coordination. Attached Figure Description

[0055] Figure 1 A flowchart of a method for coordinating the grid connection of renewable energy in a distributed power grid, provided by the present invention;

[0056] Figure 2 The global load-power mapping diagram provided by this invention;

[0057] Figure 3 This is a schematic diagram of grid connection coordination provided by the present invention;

[0058] Figure 4 The grid connection coordination flowchart provided by this invention;

[0059] Figure 5 This invention provides an architecture diagram of a distributed power grid renewable energy grid connection coordination system. Detailed Implementation

[0060] The present application will now be described in detail with reference to specific embodiments. These embodiments will help those skilled in the art to further understand the present application, but do not limit the present application in any way. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present application. These all fall within the protection scope of the present application.

[0061] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0062] It should be noted that, unless there is a conflict, the various features in the embodiments of this application can be combined with each other, all of which are within the protection scope of this application. Furthermore, although functional modules are divided in the device schematic diagram and a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than the module division in the device or the order in the flowchart. In addition, the terms "first," "second," and "third" used in this application do not limit the data or execution order, but only distinguish identical or similar items with essentially the same function and effect.

[0063] Unless otherwise defined, all technical and scientific terms used in this specification have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the scope of this application. The term "and / or" as used in this specification includes any and all combinations of one or more of the associated listed items.

[0064] Example 1

[0065] Please see Figure 1-4 The present invention provides an embodiment of a method for coordinating the grid connection of renewable energy in a distributed power grid, comprising the following specific steps:

[0066] Step S1: Obtain real-time data from renewable energy nodes.

[0067] In this embodiment, the renewable energy nodes include photovoltaic array nodes, wind power generation system nodes, and biomass energy station nodes. Real-time data includes: real-time power output, voltage, current, location coordinate data, weather data, and status information data of the renewable energy nodes.

[0068] Step S2: Construct a global load-power mapping graph based on real-time data from renewable energy nodes.

[0069] The specific steps of step S2 are as follows:

[0070] Step S201: Perform time alignment and structure standardization on the real-time data of renewable energy nodes;

[0071] It should be noted that time alignment synchronizes the real-time data of all nodes using timestamps; structure standardization packages heterogeneous real-time data into a unified structure. For example, node ID: PV001, timestamp: 2025-03-05T08:00:00Z, location coordinates: [116.3912, 39.9602], output power: 53.2, weather: irradiance, 850; wind speed, 2.5, node health score: 0.92.

[0072] Step S202: Construct a dynamic power supply topology graph and generate candidate paths based on the dynamic power supply topology graph. In the dynamic power supply topology graph, the nodes are power supply nodes and load nodes, the power supply nodes are renewable energy nodes, and the edges are power supply paths formed by power supply nodes and load nodes.

[0073] like Figure 2 As shown, the specific steps of step S202 are as follows:

[0074] Step S2021: Identify and classify power supply nodes and load nodes.

[0075] In this embodiment, based on the characteristics of power supply nodes and load nodes, all identified renewable energy power supply units are identified as power supply nodes, such as photovoltaic arrays, wind turbines, and biomass generators, while user-end loads, electric vehicle charging pile loads, and micro-factories are identified as load nodes.

[0076] Step S2022: Extract the physical connection relationships between nodes and model the connection relationships as edges;

[0077] In this embodiment, the physical connection relationships between nodes are extracted based on existing data (such as geographic information data, electrical wiring diagrams, etc.), such as transmission lines, feeders, switch locations, etc. Each connection relationship is modeled as an edge, and the following state parameters are recorded for each edge: distance length, current load level, real-time voltage drop, cable type or equipment capacity, current switch status, and routing cost. Each edge not only indicates whether it is connected, but also includes electrical properties such as operating status, physical constraints, and capacity limits.

[0078] Step S2023: Construct the initial power supply topology based on the power supply nodes, load nodes, and edges.

[0079] like Figure 2 As shown, in this step, each power supply node and each load node are regarded as nodes in the graph, and each power supply path is modeled as an edge, forming an initial power supply topology graph that includes geographical relationships, physical constraints, and electrical connection status.

[0080] Step S2024: Dynamically update the initial power supply topology map according to the changes in the topology structure to obtain the dynamic power supply topology map.

[0081] like Figure 2 As shown, after establishing the initial power supply topology, the operating status of each connection point and node is monitored in real time. If a line is disconnected due to a fault, closed for maintenance, or tripped due to overload, the topology status is automatically updated, and the relevant edges are set to the failed or high-cost state. At the same time, the upstream and downstream connections of the nodes are also updated synchronously to ensure that the topology always reflects the actual structure of the current power grid.

[0082] Step S2025: Perform path search for each load node to find a set of power supply nodes that are reachable from the load node, and set them as candidate path sets.

[0083] In this embodiment, based on Figure 2 The dynamic power supply topology diagram, for Figure 2 For each load node, a path search algorithm is executed to find a set of power supply nodes that can be reached from that load node. The search process is limited by: whether the node capacity is sufficient to support it, whether there are disconnected nodes in the path, whether the current path is in a schedulable state, and whether the path is not under maintenance, cross-regional or cross-voltage level and has the ability to be transformed. Finally, a candidate path set is formed, which is the set of power supply paths that are theoretically available at the current moment.

[0084] Step S2026: Label each candidate path in the candidate path set with an attribute label.

[0085] Specifically, each candidate path is labeled with multiple attributes, such as: whether it is a primary path, path transmission efficiency, voltage stability, whether it contains risk nodes, geographical distance, historical failure frequency, and whether fault isolation can be performed.

[0086] Step S203: Analyze the mapping relationship between power supply nodes and load nodes based on the current power demand of each load node and the actual power supply capacity of power supply nodes in the candidate path.

[0087] The specific steps of step S203 are as follows:

[0088] Step S2031: Obtain the current available power data of the power supply nodes in the candidate path centralized power supply node, and at the same time obtain the current power demand data of each complex node.

[0089] Specifically, the system obtains the current available power generation of the power supply nodes, including: real-time output power, short-term predicted power generation, availability ratio, and node health score, such as expected sunlight in the next 15 minutes and the condition of the equipment; at the same time, it obtains the current power demand information of each load node, including: real-time load value, demand priority, load adjustability, and historical stability.

[0090] Step S2032: Evaluate the suitability of the connection path between the candidate path centralized power supply node and the load node, and obtain the suitability score.

[0091] Specifically, the evaluation dimensions are first defined, including: physical path conditions (whether the path is unobstructed, whether the cable supports the load, and whether the voltage level matches); geographical proximity (the shorter the geographical distance, the lower the transmission loss and the higher the adaptability); supply and demand balance (whether the current output power of the power supply node is sufficient to cover the load); historical collaboration records (whether the power supply node has ever stably supplied power to the load); fault risk (whether there are high-failure-rate devices or easily interrupted sections in the path); redundancy capability (whether the path can serve as a high-availability backup path if the main path is interrupted); initial weights are set for each of the above dimensions and dynamically adjusted according to different scenarios.

[0092] Step S2033: Construct the first mapping relationship table based on the connection path between the power supply node and the load node in the candidate path set and its adaptability score.

[0093] In this embodiment, after obtaining all possible power supply-load combinations and their compatibility scores, an initial mapping table is constructed, where each item represents the proportion of electrical energy that a power supply node can provide to a load node.

[0094] Step S2034: Set the mapping strategy, update the first mapping table, and obtain the second mapping table.

[0095] The mapping strategy includes:

[0096] 1. If the adaptability score of the power supply node meets the preset adaptability threshold, the power supply node will be assigned to a load node with a priority level higher than the preset threshold or a power demand higher than the preset threshold.

[0097] It should be noted that the preset adaptation threshold and the setting of the preset threshold fall under the category of parameter adjustment, and can be determined by those skilled in the art through routine experiments.

[0098] 2. If a load node is powered by multiple power supply nodes, the power supply shall be allocated proportionally according to the adaptability score from high to low.

[0099] In this embodiment, during the update of the first mapping table, some power supply nodes may be unable to meet the simultaneous power supply requests of multiple target loads due to path conflicts, insufficient capacity, or other reasons. Therefore, a conflict coordination mechanism is introduced, specifically: dynamic priority adjustment, where if two loads preempt the same power supply node, the power supply ratio of the lower-priority load is automatically reduced; alternative path activation, where the backup path in the topology graph is called to transfer part of the power supply responsibility of the load to another power supply node; and a peak shaving and mitigation mechanism, where adjustable loads are guided to delay their power supply demand, temporarily reducing the power load. Redundant mapping ensures that when the primary path fails, the backup path has been pre-mapped and can take over the power supply task in special circumstances.

[0100] Step S204: Combine the dynamic power supply topology diagram and mapping relationship to construct a global load-function mapping diagram.

[0101] Specifically, such as Figure 2 As shown, a dynamic power supply topology is used as the basis of the graph structure. All candidate power supply paths are traversed, and the supply-demand pairing relationship corresponding to these paths is found. For each path, according to the pairing result in the supply-demand mapping matrix, the following semantic data is attached to the path edge: the current actual power supply ratio, mapping score, priority level, whether it is the main path or the alternative path, and the current scheduling status. If multiple power supply nodes correspond to the same load, it is represented in the graph as multiple power supply edges pointing to the same load node, and they are divided according to weight.

[0102] The edges in the global load-function mapping graph are weighted, and the weights on the edges represent the power supply ratios.

[0103] exist Figure 2 It should be noted that the data is for descriptive purposes only and does not represent actual data. In the diagram, circles represent power supply nodes and load nodes, and boxes represent labels for power supply nodes and load nodes. Specifically, PV1 represents photovoltaic power generation system 1, labeled: power 150KW, health index 93; WT1 represents wind power generation system 1, power 240KW, health index 87; BM1 represents biomass power generation system 1, labeled: power 100KW, health index 85; ESS1 represents energy storage system 1, labeled: power 120KW, priority P1 (highest priority), ensuring power supply to critical loads, used to store excess energy and smooth supply and demand fluctuations; L1 represents residential load, labeled: power 70KW, user level C1; L2 represents hospital load, labeled: power 150KW, user level C3; L3 represents electric vehicle charging pile load, labeled: power 90KW, user level C1; where user level C1 is ordinary load, C2 is important load, and C3 is critical load.

[0104] exist Figure 2 In the diagram, different lines have different text descriptions, such as: 35% backup 0.66, which means that the power supply ratio of this path is 35%, and it is a backup path with an adaptation score of 0.66; 60% primary 0.72, which means that the power supply ratio of this path is 60%, and it is a primary path with an adaptation score of 0.72; 45% backup (high risk) 0.55, which means that the power supply ratio of this path is 45%, and it is a high-risk backup path with an adaptation score of 0.55.

[0105] exist Figure 2 In the diagram, solid lines with arrows represent primary paths, solid lines with arrows combined with dashed lines without arrows represent backup paths, and solid lines without arrows combined with dashed lines with arrows represent high-risk alternative paths. It should be noted that each path includes a historical reliability score, calculated based on historical data. Figure 2 No annotation was made in the text.

[0106] By deeply integrating the structure graph with the mapping table, a global load-power mapping graph with multiple semantics such as operating status, path weight, and power allocation is constructed, which improves the accuracy of expressing the dynamic power supply capability of renewable energy under the distributed grid structure.

[0107] Step S3: Based on the global load-power mapping diagram, set a priority dynamic switching strategy based on historical reliability scores, generate a grid connection path switching plan table, and select a path for coordination according to the grid connection path switching plan table.

[0108] The specific steps of step S3 are as follows:

[0109] Step S301: Identify grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram;

[0110] Specifically, the system monitors the operating status in real time based on the global load-power mapping diagram, and determines whether there is a grid connection anomaly by detecting the following indicators: a sudden drop in power transmission in a certain power supply path; a node status changing from "normal" to "abnormal" or "offline"; the occurrence of voltage exceeding limits, frequency disturbances, reverse power flow, etc.; and a lack of power supply or a decline in power quality at the load node. When any of the above situations occur, the grid connection anomaly event is identified.

[0111] Step S302: Determine the affected load nodes based on the grid connection anomaly and generate a candidate switching path set.

[0112] The specific steps of step S302 are as follows:

[0113] Step S3021: Determine the affected load nodes based on the grid connection anomaly, and search for candidate paths of the load nodes in the global load-power mapping graph.

[0114] Specifically, the search for candidate paths is based on the connectivity of nodes in the mapping graph, and paths that meet the following conditions are selected: physically reachable from the target load node; the current power supply node is in an available or standby state; the path is not overloaded or occupied by other high-priority tasks.

[0115] Step S3022: Evaluate whether the candidate path has the ability to temporarily take over. If so, retain the candidate path; otherwise, remove the candidate path.

[0116] Specifically, for each extracted candidate path, its temporary replacement capability is evaluated based on multiple indicators such as the output capacity of the current power supply node, the remaining capacity of the path, the response latency, and the health status. If the path meets all of the following conditions: the current power supply node has power redundancy to meet the power demand of the load; the path has not reached its transmission limit; the response time is within the preset threshold; and the path has performed stably in historical operation, then the path is marked as a valid path and retained; otherwise, it is eliminated.

[0117] Step S3033: Set all retained candidate paths as the candidate switching path set.

[0118] Step S303: Set a priority dynamic switching strategy, generate a grid connection path switching plan table, and select a path for coordination according to the grid connection path switching plan table.

[0119] The priority dynamic switching strategy includes:

[0120] 1) Collect candidate path data information from the candidate switching path set.

[0121] Specifically, the candidate path data includes: the current power output and adjustability of the power supply node; the historical reliability score of the power supply node; the path connection status and topology redundancy; and the path carrying capacity and electrical performance indicators.

[0122] Historical reliability score is used to measure the operational stability, dispatchability and response reliability of power supply nodes within a historical period. It is calculated comprehensively from indicators such as stable operating time, failure frequency, power prediction deviation, response timeliness and dispatch execution success rate. The weight of each indicator is dynamically adjusted according to the operating scenario and coordination requirements.

[0123] 2) Set evaluation indicators for candidate paths, and score and rank each candidate path based on the evaluation indicators.

[0124] Specifically, based on the above data, candidate path evaluation indicators are set, including: reliability score, power supply capacity index, path voltage stability, load matching degree, etc. Each path is comprehensively scored according to the set indicators, and ranked from high to low. The ranking results are used to select the optimal alternative path in the subsequent process.

[0125] 3) Select a switching strategy based on grid connection anomalies. The switching strategies include: main path switching, load reduction and traffic diversion, load priority adjustment and load shaving.

[0126] Specifically, the main path switching mechanism is as follows: when the original main power supply path fails completely, the main power supply is transferred to the backup path with the highest score; load reduction and diversion: if the current path capacity is insufficient but can still supply power, some power is transferred to other paths; load priority adjustment: low-priority loads give way to resources to ensure power supply to critical loads; load peak shaving: flexible loads temporarily reduce power to avoid overall overload.

[0127] 4) Generate a grid connection path switching plan table based on the switching strategy matching results and candidate path sorting.

[0128] Specifically, the plan includes: target load node number; alternative path number and access node; handover execution time or conditions; expected power configuration after handover; and required synchronization operations.

[0129] For example, such as Figure 3 As shown, in a certain regional power distribution network, there are three renewable energy nodes connected to the network: a photovoltaic power generation system, a wind power generation system, a biomass power generation system, and an energy storage system; there are three main load nodes: residential load, hospital load (critical load), and electric vehicle charging pile load (adjustable load); when an abnormal event is detected: a sudden drop in wind speed, the statutory power of the wind power generation system drops to one-third of its initial value, resulting in insufficient power supply to the original main power supply path of the hospital load.

[0130] exist Figure 3 In the diagram, the × symbol indicates an abnormal event, namely a grid connection abnormality. The main path, which has 60% power supply and an adaptability of 0.72, has failed. The alternative paths are switched, that is, two paths are activated: 35% backup 0.66 and 40% backup 0.65. Since one path cannot meet the hospital's load requirements, two alternative paths need to be activated.

[0131] like Figure 4 The method described in this application is used to perform grid connection coordination, specifically as follows: First, a power supply gap in the wind power generation system is identified and marked as a grid connection anomaly. Then, other candidate power supply paths for the wind power generation system are searched, including rooftop photovoltaic systems and battery energy storage systems. It is assessed that the rooftop photovoltaic system is currently supplying power to residential loads and electric vehicle charging pile loads, reaching the load resolution limit, while the battery energy storage system is currently idle and can be put into use immediately. Second, the battery energy storage system → hospital load is set as the primary switching path, and the rooftop photovoltaic system → hospital load is set as the secondary switching path. At the same time, data such as response delay and node health scores of the two paths are obtained. The battery energy storage system → hospital load path has a higher score, and the event is identified as: insufficient power supply to the primary path. The matching strategy is: primary path switching. Finally, a grid connection path switching plan table is generated: the battery energy storage system → hospital load power supply path is activated, while the wind power generation system is kept as a secondary power source.

[0132] Figure 3This invention demonstrates its specific application in distributed renewable energy grid-connected scheduling scenarios. By working together with anomaly identification, path filtering, and priority strategies, it ensures the real-time performance and reliability of system scheduling.

[0133] Example 2

[0134] Please see Figure 5 Another embodiment of the present invention provides: a renewable energy grid connection coordination system in a distributed power grid, comprising: a data acquisition module, a mapping graph construction module, and a grid connection coordination module;

[0135] The data acquisition module is used to acquire real-time data from renewable energy nodes;

[0136] The mapping construction module is used to construct a global load-power supply mapping based on real-time data from renewable energy nodes.

[0137] The grid connection coordination module is used to generate a grid connection path switching plan table based on the global load-power mapping diagram and the priority dynamic switching strategy set based on historical reliability scores, and to select a path for coordination according to the grid connection path switching plan table.

[0138] The grid connection coordination module includes: a grid connection anomaly identification unit, a candidate switching path set generation unit, and a grid connection coordination unit;

[0139] The grid connection anomaly identification unit identifies grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram;

[0140] The candidate switching path set generation unit is used to determine the affected load nodes based on the grid connection anomaly and generate a candidate switching path set.

[0141] The grid connection coordination unit is used to set priority dynamic switching strategies, generate a grid connection path switching plan table, and select paths for coordination according to the grid connection path switching plan table.

[0142] In addition, the parts of the technical solutions provided in the embodiments of this application that are consistent with the implementation principles of the corresponding technical solutions in the prior art have not been described in detail, so as to avoid excessive elaboration.

[0143] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the invention. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for coordinating the grid connection of renewable energy in a distributed power grid, characterized in that, include: Acquire real-time data from renewable energy nodes; Based on real-time data from renewable energy nodes, a global load-power supply mapping diagram is constructed. The global load-power supply mapping diagram is obtained by embedding a dynamic power supply topology diagram into a second mapping relationship table. The dynamic power supply topology diagram represents the dynamic connection relationship between power supply nodes and load nodes, and the second mapping relationship table represents the dynamic mapping relationship between power supply nodes and load nodes. Based on the global load-power mapping diagram, a priority dynamic switching strategy is set based on historical reliability scores, a grid connection path switching plan table is generated, and a path is selected for coordination according to the grid connection path switching plan table. The global load-power mapping diagram is constructed based on real-time data from renewable energy nodes, including: Time alignment and structural standardization are performed on real-time data from renewable energy nodes; A dynamic power supply topology graph is constructed, and candidate paths are generated based on the dynamic power supply topology graph. In the dynamic power supply topology graph, the nodes are power supply nodes and load nodes, the power supply nodes are renewable energy nodes, and the edges are power supply paths formed by power supply nodes and load nodes. Based on the current power demand of each load node and the actual power supply capacity of the power supply nodes in the candidate paths, analyze the mapping relationship between the power supply nodes and the load nodes. By combining the dynamic power supply topology diagram and mapping relationships, a global load-function mapping diagram is constructed; The step of analyzing the mapping relationship between power supply nodes and load nodes based on the current power demand of each load node and the actual power supply capacity of power supply nodes in the candidate paths includes: Obtain the current available power data of the power supply nodes in the candidate path centralized power supply node, and at the same time obtain the current power demand data of each complex node; The suitability of the connection path between the centralized power supply node and the load node in the candidate path is evaluated to obtain a suitability score. Based on the connection paths between the candidate path centralized power supply nodes and load nodes and their adaptability scores, construct the first mapping relationship table; Set a mapping strategy, update the first mapping table, and obtain the second mapping table; The mapping strategy includes: If the adaptability score of the power supply node meets the preset adaptability threshold, the power supply node will be assigned to a load node with a priority level higher than the preset threshold or a power demand higher than the preset threshold. If a load node is powered by multiple power supply nodes, the power is allocated proportionally according to the fit score from highest to lowest.

2. The method for coordinating the grid connection of renewable energy in a distributed power grid as described in claim 1, characterized in that, The construction of a dynamic power supply topology map and the generation of candidate paths based on the dynamic power supply topology map include: Identify and classify power supply nodes and load nodes; Extract the physical connections between nodes and model these connections as edges; Construct an initial power supply topology based on power supply nodes, load nodes, and edges; The initial power supply topology is dynamically updated based on changes in the topology structure to obtain a dynamic power supply topology. For each load node, perform a path search to find a set of power supply nodes that can be reached by that load node, and set them as the candidate path set; Assign an attribute label to each candidate path in the candidate path set.

3. The method for coordinating the grid connection of renewable energy in a distributed power grid as described in claim 2, characterized in that, The process of generating a grid connection path switching plan table based on the global load-power mapping diagram, setting a priority dynamic switching strategy based on historical reliability scores, and selecting and coordinating paths according to the grid connection path switching plan table includes: Identify grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram; Based on the grid connection anomaly, the affected load nodes are identified, and a set of candidate switching paths is generated; Set a priority dynamic switching strategy, generate a grid connection path switching plan table, and select a path for coordination according to the grid connection path switching plan table.

4. The method for coordinating the grid connection of renewable energy in a distributed power grid as described in claim 3, characterized in that, The step of determining the affected load nodes based on the grid connection anomaly and generating a candidate switching path set includes: Based on the grid connection anomaly, the affected load nodes are determined, and candidate paths for the load nodes are searched in the global load-power mapping graph. Assess whether the candidate path has the ability to temporarily take over. If so, retain the candidate path; otherwise, remove the candidate path. Set all retained candidate paths as the candidate switching path set.

5. The method for coordinating the grid connection of renewable energy in a distributed power grid as described in claim 4, characterized in that, The priority dynamic switching strategy includes: Collect candidate path data information from the candidate switching path set; Set evaluation metrics for candidate paths, and score and rank each candidate path based on the evaluation metrics; Based on the grid connection anomaly, a switching strategy is selected, which includes: main path switching, load reduction and traffic diversion, load priority adjustment and load shaving. Based on the switching strategy matching results and the candidate path sorting, a grid connection path switching plan table is generated.

6. A renewable energy grid connection coordination system in a distributed power grid, used to implement the renewable energy grid connection coordination method in a distributed power grid as described in any one of claims 1-5, characterized in that, include: Data acquisition module, mapping diagram construction module, and grid connection coordination module; The data acquisition module is used to acquire real-time data from renewable energy nodes; The mapping construction module is used to construct a global load-power supply mapping based on real-time data from renewable energy nodes. The grid connection coordination module is used to generate a grid connection path switching plan table based on the global load-power mapping diagram and the priority dynamic switching strategy set based on historical reliability scores, and to select a path for coordination according to the grid connection path switching plan table.

7. A renewable energy grid connection coordination system in a distributed power grid as described in claim 6, characterized in that, The grid connection coordination module includes: a grid connection anomaly identification unit, a candidate switching path set generation unit, and a grid connection coordination unit; The grid connection anomaly identification unit identifies grid connection anomalies during global load-power supply operation based on the global load-power supply mapping diagram; The candidate switching path set generation unit is used to determine the affected load nodes based on the grid connection anomaly and generate a candidate switching path set. The grid connection coordination unit is used to set priority dynamic switching strategies, generate a grid connection path switching plan table, and select paths for coordination according to the grid connection path switching plan table.

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