A general construction method for water, wind and light basin topology

Abstract

This invention discloses a general method for constructing watershed topologies for water-wind-solar joint scheduling, belonging to the field of water-wind-solar joint scheduling technology. The method includes: constructing scheduling objects such as reservoirs and power stations as node entities in the topological network; generalizing physical connections such as rivers and power grids as connection line entities; determining the connection relationships between nodes and connection lines according to physical rules; establishing balance equations for the water network and power grid; and then formulating general digital coding rules to number the topological structure to express the direction of water flow and the path of power flow. This invention achieves the generalization and standardization of watershed topology construction, providing an accurate and reliable data foundation for water-wind-solar joint scheduling models, and improving the efficiency and scientific rigor of multi-energy collaborative scheduling.

Description

Technical Field

[0001] This invention relates to the field of integrated scheduling of water, wind and solar power, and in particular to a general method for constructing watershed topology for water, wind and solar power. Background Technology

[0002] my country's renewable energy sources, represented by wind power and photovoltaics, are experiencing unprecedented rapid development. To optimize the spatial distribution of energy resources and realize the large-scale development and efficient utilization of clean energy, the country has strategically established several large-scale clean energy bases.

[0003] These bases constitute a multi-dimensional, nested, and complex system with significant inherent differences, mainly reflected in: 1) Geographical and resource endowment level: the bases span diverse landforms such as deserts, plains, hills, and high mountains and canyons, and have diverse dominant energy forms; 2) In terms of hydropower resources and river network conditions, there are fundamental differences in the regulation capacity (such as multi-year regulation and seasonal regulation) and system functions (such as bearing base load, peak regulation, flood control, and water supply) of different bases; 3) In terms of development model and transmission structure, a hybrid complex topology has been formed, which includes "point-to-grid" transmission with ultra-high voltage DC channels as the core, absorption focusing on regional balance, and a combination of the two.

[0004] Faced with the new stage characteristics of "large-scale, high-proportion, market-oriented, and high-quality development" and the complex differences among various bases, traditional energy system analysis methods that focus on single scenarios and fixed patterns are no longer sufficient to meet the needs of overall control, collaborative optimization, and strategic planning. Therefore, how to construct a universal renewable energy dispatch topology network that can adapt to multiple river network scenarios and complex network structures has become a critical technical problem that urgently needs to be solved in the field of energy layout and dispatch. Summary of the Invention

[0005] This invention addresses the shortcomings of existing technologies by providing a general method for constructing watershed topology based on water, wind, and light.

[0006] To achieve the above-mentioned objectives, the technical solution adopted by the present invention is as follows:

[0007] A general method for constructing watershed topology based on water, wind, and light includes the following steps:

[0008] S1. Based on the scheduling objects involved in the joint scheduling of water, wind and solar power, construct the corresponding entity objects and use them as nodes in the topology network;

[0009] S2. Generalize the physical connection channels between entity objects into corresponding entity objects and use them as connection lines in the topology network.

[0010] S3. Based on the physical rules and connection methods between the scheduling objects, establish topology network connection rules;

[0011] S4. Develop general rules for digitalizing the topology network to transmit the water network and power grid structure contained in the topology network as input for wind and solar joint dispatch.

[0012] Furthermore, in step S1, the constructed node entity objects include at least one of the following: reservoir, drainage outlet, water intake, river cross section, wind power station, photovoltaic power station, hydropower station, catchment area, grid connection point, virtual load point, and hydrological station; wherein, for each node entity object, an attribute set including entity type, name, and identification code is constructed.

[0013] Furthermore, the attributes of the reservoir object include at least one of the following: entity type, reservoir name, reservoir code, dam crest elevation, check flood level, design flood level, normal storage level, flood control limit level, dead storage level, total storage capacity, flood regulation capacity, flood control capacity, dead storage capacity, multi-year average power generation, water level-storage capacity-area curve, discharge flow-tailwater level curve, and water level-maximum discharge capacity curve.

[0014] Furthermore, in step S2, the constructed connection entity objects include at least one of the following: river channel, water diversion pipeline, power generation connection line, and virtual load line; wherein, for each connection entity object, an attribute set including entity type, name, and identification code is constructed.

[0015] Furthermore, the attributes of the river object include at least one of the following: entity type, river name, river code, river length, riverbed slope, Manning coefficient, river lag time, and flow calculation method; the attributes of the power generation connection line and virtual load line object include at least one of the following: entity type, line name, line code, channel capacity, safety margin, reserved capacity, available capacity, line length, resistance, resistivity, and cross-sectional area.

[0016] Further, step S3 includes:

[0017] Determine the preset connection method between topology nodes, where:

[0018] The reservoir is connected to the river channel and its cross-section via a water diversion pipeline;

[0019] The hydropower station is connected to the reservoir via a water diversion pipeline and to the grid connection point via a power generation connection line;

[0020] Wind power stations and solar power stations are connected to the grid connection point via power generation connection lines;

[0021] The grid connection point is connected to the hydropower station, wind power station, and solar power station through the power generation connection line, and is also connected to the virtual load point through the virtual load line;

[0022] The virtual load point is connected to the grid connection point through the virtual load line.

[0023] Furthermore, step S3 also includes:

[0024] Establish water network connection rules and water balance equations with river cross-sections as key nodes. The river cross-sections are used to collect and distribute the associated river inflow, water intake flow, drainage flow, reservoir outflow, and catchment flow.

[0025] Furthermore, step S3 also includes:

[0026] Establish grid connection rules and power balance equations with grid connection points as the core. The grid connection points are used to collect the power output of their associated hydropower stations, wind power stations, photovoltaic power stations and other grid connection points, and transmit the power to the virtual load points through virtual load lines.

[0027] Further, step S4 includes:

[0028] The topology of the water network is digitally encoded. Based on the natural flow direction of the water, the river channels and their associated river sections and reservoirs are assigned topological numbers with sequential relationships. The confluence, bifurcation and flow direction of the river are expressed through the inclusion and sequence of the numbers.

[0029] Furthermore, step S4 also includes:

[0030] The power grid topology is digitally encoded. Based on the path of electricity flow from the generation end to the receiving end, topology numbers with transmission relationships are assigned to power plants, grid connection points, virtual load points and their connecting lines. The power transmission path and overall flow direction are expressed by the matching relationship between the first and last numbers of the connected objects.

[0031] Compared with the prior art, the advantages of the present invention are as follows:

[0032] 1. Achieved generalization and high adaptability of topology structure: By abstracting and standardizing various physical objects (such as reservoirs, power stations, and river cross-sections) in the joint scheduling of water, wind, and solar power into unified node and connecting line entities, and defining a complete set of attributes for them, this invention constructs a standardized topology modeling framework. This method can flexibly adapt to various clean energy bases with different geographical features, resource endowments, river network conditions, and power grid structures, overcoming the limitations of traditional methods for single scenarios and significantly improving the model's universality across different watersheds.

[0033] 2. Provides a standardized and reliable data foundation for joint scheduling: This invention not only defines the connection rules of physical objects (such as the connection and balance equations of water networks and power grids), but also formulates general digital coding rules for topological networks. This coding method transforms complex physical connections into calculable and transmittable numerical sequences, thereby clearly and unambiguously describing water flow direction, power flow paths, and confluence and bifurcation relationships in the network. This enables the accurate and efficient digitization of the physical structure of the entire watershed, providing direct and reliable data input support for subsequent optimized scheduling algorithms.

[0034] 3. Ensuring the accuracy and reliability of the scheduling model: Through simulation scheduling verification using an example (taking the Jinsha River downstream-Yangtze River upstream cascade basin as an example), the simulation calculations using the topology structure constructed in this invention show a high degree of agreement with actual monitoring data and a low error level (RMSE=37.8191 as shown in the document). This fully demonstrates that the general topology constructed based on this invention can realistically and accurately reflect the operating logic and constraints of the actual system, ensuring the scientific nature and reliability of scheduling decisions based on it.

[0035] 4. Improved efficiency and scientific rigor of watershed water resource and energy coordination: This invention integrates the topology of the water network (hydraulic system) and the power grid (electric system) within a unified framework, breaking down the barriers of traditional specialized and system-specific modeling. This helps dispatchers consider the spatiotemporal complementarity of hydropower, wind power, and photovoltaic power generation, as well as grid transmission constraints, from the perspective of the overall watershed energy system. This allows for the development of more coordinated, economical, and secure joint dispatch schemes, effectively improving the overall energy utilization efficiency and operational safety of the entire watershed. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a flowchart of the general method for constructing watershed topology in the embodiment of the present invention;

[0038] Figure 2 This is a schematic diagram of the water network connection structure of water conservancy nodes such as rivers, reservoirs and water intake and discharge outlets in the basin in an embodiment of the present invention.

[0039] Figure 3This is a schematic diagram of the power grid connection structure of power nodes such as water, wind and solar power stations, grid connection points and virtual load points in a river basin, according to an embodiment of the present invention.

[0040] Figure 4 This is a schematic diagram of the digital coding method for water network connection in an embodiment of the present invention;

[0041] Figure 5 This is a schematic diagram of the digital coding method for power grid connection in an embodiment of the present invention;

[0042] Figure 6 This is a schematic diagram of the water network topology of a reservoir in an embodiment of the present invention;

[0043] Figure 7 This is a schematic diagram of the power grid topology of a reservoir in an embodiment of the present invention;

[0044] Figure 8 This is a coding diagram of the water network topology of a reservoir in an embodiment of the present invention;

[0045] Figure 9 This is a coding diagram of the power grid topology of a reservoir in an embodiment of the present invention;

[0046] Figure 10 A comparison diagram of the cascade simulation scheduling results of six reservoirs with a common topology in the embodiments of the invention. Detailed Implementation

[0047] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0048] like Figure 1 As shown in the figure, the present invention provides a method for constructing a universal scheduling model for water, wind and solar power, which includes the following steps:

[0049] S1. Based on the scheduling objects involved in the joint scheduling of water, wind and solar power, such as reservoirs, hydropower stations, wind power stations and photovoltaic power stations, construct the corresponding entity objects and use them as nodes in the topology network;

[0050] S2. Based on the physical connection channels such as rivers and power grids between entity objects, generalize them into corresponding entity objects and use them as connection lines of the topology network.

[0051] S3. Based on the physical rules and connection methods between scheduling objects, establish topology network connection rules;

[0052] S4. Formulate general digital rules for the topology network and transmit the water and power grid structures contained in the topology network as input for wind and solar joint dispatch.

[0053] In this embodiment of the invention, S1 includes nine objects such as reservoirs, rivers, and river cross-sections as node scheduling objects. The object construction has been fully described above.

[0054] In this embodiment of the invention, S2 includes four node scheduling objects: river, water diversion pipeline, power generation connection line, and virtual load line. The object construction has been fully described above.

[0055] S1 includes:

[0056] S11, studies reservoirs, rivers and other objects involved in typical watersheds at home and abroad, summarizes and generalizes them into entity objects of a general water, wind and solar scheduling model;

[0057] The invention constructs 11 types of node entities, including: a reservoir, which is a key node for hydraulic scheduling; a drainage outlet, which is a node that discharges water into the river; a water intake, which is a node that draws water from the river; a river cross-section, which serves as a confluence point on the river and is used to locate nodes such as water intake, drainage outlet, and reservoir; a wind power station, which serves as a calculation node for wind power generation and is used to input predicted wind power output; a photovoltaic power station, which serves as a calculation node for photovoltaic power generation and is used to input predicted photovoltaic power output; a hydropower station, which serves as a calculation node for hydropower generation and converts water power into electricity; a catchment area, which is the calculation area for runoff within a watershed and is used to input the runoff process; a grid connection point, which is used to aggregate the output of multiple power stations and bundle them for external transmission; a virtual load point, which represents the power receiving area at the far end of the power grid and is the endpoint of power transmission; and a hydrological station, which serves as a special cross-section on the river and is used for river water level control.

[0058] S12, To achieve the generalization of topology nodes, this invention constructs attributes for each object, such as entity name, entity type, topology structure, entity ID, etc., so that the attributes of each object contain all the data of that object, improving the adaptability of nodes to various scenarios. The attributes of various entity objects are as follows:

[0059] 1. Regarding the attributes of the reservoir object: The attributes defined for the "Reservoir" node object include: Type (entity type, methods are get / set, data structure is int), Reservoirname (reservoir name, string), ReservoirID (reservoir code, int), DamHeight (dam crest elevation, double), LFD (check flood level, double), LFC (design flood level, double), LevelNormal (normal storage level, double), LFL (flood control limit level, double), LevelMinDS (minimum water level during dry season drawdown, double), LevelDead (dead water level, double), EvaporationCoefficient (reservoir evaporation coefficient, double), ReservoirFlowLoss (… The data includes: reservoir flow loss (double), Total Storage (double), Control Storage (double), Protect Storage (double), Dead Storage (double), Annual Power (double), Outflow-Taillevel Curve (curve), Level-Storage-Area Curve (curve), Outflow-Taillevel-Jacking Curve (curve), and Level-Outflowmax Curve (curve).

[0060] 2. Regarding the properties of the drainage outlet object: The properties defined for the "drainage outlet" object include: Type (entity type, int), pollutionDischargeId (sewage outlet code, string), generalStationId (hydrological station code, int), generalQualityId (water quality station code, double), designDrainCapacity (design drainage flow rate, double), and designWaterQuality (permitted discharge water quality, double).

[0061] 3. Properties of the intake object: The properties defined for the "intake" object include: type (entity type, EntityTypeEnum), generalStationId (generalized station code, String), intakeId (surface water intake code, String), maxPermissionQ (maximum permitted flow, double), permissionTotalW (permitted total annual water intake, double), designQ (design flow, double), intakeStcd (water intake monitoring point code, String), and eWaterUseSector (the water use unit corresponding to the intake, EWaterUseSector).

[0062] 4. Properties of the River Cross-Section Object: The properties defined for the "River Cross-Section" object include: type (EntityTypeEnum), riverSectionId (River Cross-Section Code, String), sectionId (Cross-Section Number, String), nodeId (Cross-Section Number, int), genestId (Generalized Station ID, String), sectionName (River Cross-Section Name, String), sectionDistance (Station Number, double), controlSection (Whether the Cross-Section is Controlled, int), curved (Water Level-Discharge Relationship Curve Code, String), controlMinZ (Control Minimum Water Level, double), controlMinQ (Control Minimum Discharge, double), and co ntrolMinW (control minimum annual water volume, double), controlQuality (control water quality requirements, String), sectionCount (number of measurement points in the large cross section, int), leftLongitude (longitude of the left bank, double), leftLatitude (latitude of the left bank, double), rightLongitude (longitude of the right bank, double), rightLatitude (latitude of the right bank, double), swaleCount (number of beach-channel boundary points, int), hasCatchment (whether there is a catchment area, boolean), catchmentEntity (corresponding catchment area entity, EntityBase), and levelflowCurve (water level-discharge relationship curve, DoubleCurve).

[0063] 5. Properties of the wind farm object: The properties defined for the "wind farm" object include: Type (entity type, int), StationName (wind farm name, string), StationID (wind farm code, int), TotalCapacity (total installed capacity, double), and CIC (operating installed capacity, double).

[0064] 6. Properties of the photovoltaic power station object: The properties defined for the "photovoltaic power station" object include: Type (entity type, int), StationName (photovoltaic power station name, string), StationID (photovoltaic power station code, int), TotalCapacity (total installed capacity, double), and CIC (operating installed capacity, double).

[0065] 7. Properties of the Hydropower Station Object: The properties defined for the "Hydropower Station" object include: Type (entity type, int), StationName (hydropower station name, string), StationType (hydropower station type, int), StationID (hydropower station code, int), Ntype (output calculation method, enum), KN (power station output coefficient, double), KL (head output coefficient curve, Curve), NQ (power station water consumption rate curve, Curve), NHQ (total station NHQ curve, Curve), PowerChange (daily output change, double), NL (expected output curve, Curve), OGEnable (whether to consider guaranteed output, boolean), OutputGuarantee (guaranteed output, double), PowerInstall (installed capacity (ten thousand KW), double), and Unit (power station generating units, List). <unit>).

[0066] 8. Properties of the catchment area object: The properties defined for the "catchment area" object include: type (entity type, EntityTypeEnum), area (catchment area, double), maxElevation (maximum elevation, double), minElevation (minimum elevation, double), averageElevation (average elevation, double), outLongitude (outflow point longitude, double), outLatitude (outflow point latitude, double), downEntityId (downstream entity code, String), and generalStationId (station code, String).

[0067] 9. Attributes of the Grid Connection Point Object: The attributes defined for the "Grid Connection Point" object include: Type (entity type, int), GCPointName (grid connection point name, String), GCPointID (grid connection point code, int), Channel (channel capacity, double), ChannelUtilization (channel utilization rate, double), LineLossRate (transmission network loss rate, double), MinTechOutputRatio (minimum technical output ratio, double), OverloadStatus (current overload status, boolean), and LastDispatchTime (last dispatch time, LocalDateTime).

[0068] 10. Properties of Virtual Load Point Objects: The properties defined for the "Virtual Load Point" object include: type (entity type, int), VirtualPointName (virtual load point name, String), VirtualPointID (virtual load point code, int), demand (grid load demand, double[]), PriceSeries (electricity price series, double[]), and IsResponsiveLoad (whether to respond to load, boolean).

[0069] 11. Properties of the hydrological station object: The properties defined for the "hydrological station" object include: type (entity type, int), GagingStationName (hydrological station name, String), GagingStationID (hydrological station code, int), WarningLevel (warning level, double), and LevelFlowCurve (water level-flow curve, Curve).

[0070] S2 includes:

[0071] S21, studies the objects such as rivers and power grids involved in typical watersheds at home and abroad, summarizes and generalizes them into entity objects of the general scheduling model of water, wind and solar power;

[0072] The present invention constructs four types of connection line entities, including: river channels, which are used to connect river sections, reservoirs and other water conservancy facilities; water diversion pipelines, which are used to connect reservoirs and power plants; power generation connection lines, which are used to connect power plants and grid connection points; and virtual load lines, which are used to connect power generation areas and power consumption areas.

[0073] S22, To achieve universality of topology connectors, this invention constructs attributes for each connector object, such as entity name, entity type, topology structure, entity ID, etc., so that the attributes of each object contain all the data of that object, improving the adaptability of connectors to various scenarios. The attributes of various entity objects are as follows:

[0074] 1. Properties of the River object: The properties defined for the "River" connecting line object include: Type (entity type, int), RiverName (river name, string), RiverID (river code, int), Length (river length, double), BedSlope (riverbed slope, double), ManningCo (Manning coefficient of the river, double), T (river lag time, double), and Calq (flow calculation method, Curve).

[0075] 2. Properties of the "Water Pipe" object: The properties defined for the "Water Pipe" object include: Type (entity type, int), ConduitPipeID (water pipe code, int), MaxReferFlow (maximum reference flow, double), HeadlossK (head loss coefficient, double), and HeadlossCurve (head loss curve, Curve).

[0076] 3. Properties of the "Power Generation Connector" object: The properties defined for the "Power Generation Connector" object include: Type (entity type, int), PowerName (virtual load connector name, string), PowerID (virtual load connector code, int), Channel (channel capacity, double), SafetyMargin (safety margin, double), ReserveCapacity (reserved capacity, double), AvailableCapacity (available capacity, double), Resistance (resistivity, double), Resistivity (resistivity, double), Linelength (line length, double), Cross-sectionalArea (cross-sectional area, double), Electriccurrent (current, timeseries), and Powerloss (network loss, timeseries).

[0077] 4. Properties of Virtual Load Line Objects: The properties defined for the "Virtual Load Line" object include: Type (entity type, int), VirtualLoadLineName (virtual load line name, string), VirtualLoadLineID (virtual load line code, int), Channel (channel capacity, double), SafetyMargin (safety margin, double), ReserveCapacity (reserved capacity, double), AvailableCapacity (available capacity, double), Resistance (resistivity, double), Resistivity (resistivity, double), Linelength (line length, double), Cross-sectionalArea (cross-sectional area, double), Electriccurrent (current, timeseries), and Powerloss (network loss, timeseries).

[0078] S3 includes:

[0079] S31. Based on the physical rules and connection methods between scheduling objects, determine the connection methods of topology nodes. The connection methods determined according to the physical rules are as follows:

[0080] Reservoirs: Reservoirs are connected to river sections via waterways and to hydropower stations via water diversion pipelines.

[0081] Hydropower station: The hydropower station is connected to the reservoir through water diversion pipelines and to the grid connection point through power generation connection lines.

[0082] Wind power station: Connected to the grid connection point via a power generation connection line.

[0083] Photovoltaic power station: connected to the grid connection point via a power generation connection line.

[0084] Grid connection point: Connected to hydropower stations, wind power stations, photovoltaic power stations, and itself via power generation connection lines, and connected to virtual load points via virtual load lines.

[0085] Virtual load point: Connected to the grid connection point via a virtual load line.

[0086] S32, such as Figure 2 As shown, in addition to the connection relationships between scheduling objects, the water network structure of the basin also needs to be correctly expressed through topology. To achieve the universality and versatility of this invention, the water network connection rules are as follows:

[0087] A river cross-section is a crucial node in the river's water balance, encompassing all flow exchange processes. By establishing two river cross-sections upstream and downstream of a reservoir, and connecting these cross-sections to the reservoir via a river channel, the river's inflow is converted into the reservoir's inflow through the cross-section, and the reservoir's outflow is converted back into the river's inflow through the cross-section. Intake and discharge points and catchment areas also utilize river cross-sections for flow inflow and outflow. The river's water balance equation is as follows:

[0088]

[0089] In the formula, For the outflow of the river cross section, For river inflow, The water intake flow rate is the water intake point. The drainage flow rate of the drain outlet. The outflow from the reservoir. This refers to the water flow rate of the catchment area.

[0090] In conjunction with examples of the present invention, the constructed water network structure is as follows: Figure 6 As shown.

[0091] S33, such as Figure 3 As shown, the power grid structure of the basin also needs to achieve a generalized description of the power grid topology through standard connection rules. The core of the power grid topology is the grid connection point, which collects the output of each power station through the generation connection line and sends it to the virtual load point (power receiving area) through the virtual load line. The output balance equation of the grid connection point is as follows:

[0092]

[0093] For the output power of the grid connection point, To contribute to the hydropower station Contribute power to the photovoltaic power station Contribute to wind power stations It provides power to other grid connection points for transmission to this grid connection point.

[0094] The constructed power grid structure, as illustrated by the example, is as follows: Figure 7 As shown.

[0095] S4 includes:

[0096] S41, To achieve a universal expression of the topological structure, this invention digitally encodes the water network topology of S32. Since water networks have a natural and fixed flow direction, this invention uses this to number the topological structure of the river network, realizing the entire process of flow transmission from upstream to downstream.

[0097] Figure 4 This diagram illustrates the river network numbering system. The river network topology has two layers: the first is the river channel level, and the second is the river cross-section level. The topological number of a river channel includes the numbers of all its cross-sections. River 1 is numbered {1, 2, 3, 4}, River 2 is numbered {5, 2}, River 3 is numbered {3, 6}, and the reservoir is numbered {2, 3}. The confluence and bifurcation of rivers are also achieved through river cross-sections. From the river channel topological numbers, we know that river cross-sections 1 and 5 both precede river cross-section 2; that is, river cross-sections 1 and 5 are upstream entities of river cross-section 2. The reservoir's topological number is {2, 3}, indicating that river cross-section 2 is an upstream entity of the reservoir, and the reservoir is also an upstream entity of river cross-section 3. This method allows for the digital representation of river confluence and bifurcation, as well as the hydraulic facilities along the rivers.

[0098] according to Figure 6 Based on the water network topology structure in the text, and according to a standardized digital coding procedure, construct the hydraulic topology code for a certain reservoir as follows: Figure 8 As shown;

[0099] S42, to achieve a generalized expression of the topology, this invention digitally encodes the power grid topology of S33. Since the power grid as a whole follows the flow direction from the generation end to the receiving end, this invention numbers the topology of the power grid based on this, realizing the entire process of current transfer from the generation end to the receiving end.

[0100] Figure 5 This diagram illustrates the power grid numbering system. Except for the generator and receiver terminals, which each have a single digit, all other nodes have two digits. For example, the hydropower station is numbered {1}, the wind power station {2}, the photovoltaic power station {3}, generator connection line 1 {1, 4}, generator connection line 2 {2, 4}, generator connection line 3 {3, 4}, the grid connection point {4, 5}, the virtual load line {5, 6}, and the virtual load point {6}. In the power grid topology, the order of power flow is determined by the matching first and last digits of the numbers. For instance, if the first digit of both the hydropower station and generator connection line 1 is 1, then the power from the hydropower station flows to generator connection line 1. By continuously searching and judging nodes with matching first and last digits, the overall power flow structure of the entire power grid topology can be obtained.

[0101] according to Figure 7 Based on the power grid topology in the data, and according to a standardized digital coding procedure, the power topology coding of a certain reservoir is constructed as follows: Figure 9 As shown.

[0102] After the above topology was constructed, this embodiment combined actual data from a reservoir to simulate and schedule the topology, and the simulation results are as follows. Figure 10 As shown.

[0103] Error analysis was performed on both sets of data. The results showed an RMSE of 37.8191, indicating a low overall error level. This suggests that the model's calculated values ​​and the measured values ​​have high fitting accuracy and good consistency. The data maintains a stable approximation effect across the entire range, with no significant systematic bias. Outliers have a limited impact on the overall results, and the data reliability and model accuracy meet the requirements for analysis and application. These results demonstrate the accuracy of the topological structure.

[0104] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0105] In another embodiment, a general watershed topology construction system is provided, which corresponds one-to-one with the general watershed scheduling model construction method described in the above embodiments. The system includes:

[0106] The node construction module is used to construct corresponding entity objects as nodes in the topology network based on the scheduling objects involved in the joint scheduling of water, wind, and solar power. The types of node entity objects that this module can construct include, but are not limited to: reservoirs, drainage outlets, water intakes, river cross-sections, wind power stations, solar power stations, hydropower stations, catchment areas, grid connection points, virtual load points, and hydrological stations. This module configures a complete set of attributes for each type of node object. For example, the attributes configured for reservoir objects include entity type, reservoir name, reservoir code, dam crest elevation, check flood level, design flood level, normal storage level, dead water level, total storage capacity, and water level-storage capacity-area curve; the attributes configured for power station objects (water, wind, solar) include entity type, station name, station code, total installed capacity, and operational installed capacity.

[0107] The Connector Construction Module is used to generalize the physical connection channels between entity objects into corresponding entity objects and serve as connectors in the topology network. The types of connector entity objects that this module can construct include, but are not limited to: rivers, water pipelines, power generation connectors, and virtual load lines. This module also configures a complete set of attributes for each connector object. For example, the attributes configured for a river object include entity type, river name, river code, river length, riverbed slope, and Manning coefficient; the attributes configured for power generation connectors and virtual load lines include entity type, line name, line code, channel capacity, safety margin, line length, resistance, and resistivity.

[0108] The rule configuration module is used to build and store topology network connection rules based on the physical rules and connection methods between the scheduling objects. The rules stored in this module specify the preset connection methods between nodes; for example, reservoirs are connected to river sections via waterways and to hydropower stations via water diversion pipelines, and various power stations are connected to grid connection points via power generation connection lines. This module also defines the balance equations for the water network and the power grid to describe the water balance at river sections and the power output balance at grid connection points.

[0109] The encoding processing module executes general topology network digitization rules. This module digitizes the constructed topology network, assigning sequential topology numbers to entities in the water network to represent water flow direction, and assigning transitive topology numbers to entities in the power grid to represent power flow paths. The module ultimately outputs an encoded, machine-readable topology network data structure, which serves as direct input to the wind-solar joint dispatch model.

[0110] Optionally, a data storage module is used to store entity object data created by the node construction module and the connection line construction module, connection rules defined by the rule configuration module, and digital topology data generated by the encoding processing module.

[0111] Optionally, a topology visualization and verification interface module is provided, which renders and displays the water network and power grid topology diagram of the basin based on the generated digital topology data, and can access actual operational data to verify the accuracy of the topology model.

[0112] Specific limitations regarding the general topology construction system for watersheds, wind, and solar power can be found in the limitations of the general topology construction method for watersheds, as described above, and will not be repeated here. Each module in the above system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0113] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0114] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.< / unit>

Claims

1. A general method for constructing watershed topology based on water, wind, and light, characterized in that, Includes the following steps: S1. Based on the scheduling objects involved in the joint scheduling of water, wind and solar power, construct the corresponding entity objects and use them as nodes in the topology network; S2. Generalize the physical connection channels between entity objects into corresponding entity objects and use them as connection lines in the topology network. S3. Based on the physical rules and connection methods between the scheduling objects, establish topology network connection rules; S4. Develop general rules for digitalizing the topology network to transmit the water network and power grid structure contained in the topology network as input for wind and solar joint dispatch.

2. The general method for constructing watershed topology according to claim 1, characterized in that, In step S1, the constructed node entity objects include at least one of the following: reservoir, drainage outlet, water intake, river cross section, wind power station, photovoltaic power station, hydropower station, catchment area, grid connection point, virtual load point, and hydrological station; wherein, for each node entity object, an attribute set including entity type, name, and identification code is constructed.

3. The general method for constructing watershed topology according to claim 2, characterized in that, The attributes of the reservoir object include at least one of the following: entity type, reservoir name, reservoir code, dam crest elevation, check flood level, design flood level, normal storage level, flood control limit level, dead storage level, total storage capacity, flood regulation capacity, flood control capacity, dead storage capacity, multi-year average power generation, water level-storage capacity-area curve, discharge flow-tailwater level curve, and water level-maximum discharge capacity curve.

4. The general method for constructing watershed topology according to claim 1, characterized in that, In step S2, the constructed connection entity objects include at least one of the following: river channel, water diversion pipeline, power generation connection line, and virtual load line; wherein, for each connection entity object, an attribute set including entity type, name, and identification code is constructed.

5. The general method for constructing watershed topology according to claim 4, characterized in that, The attributes of the river object include at least one of the following: entity type, river name, river code, river length, riverbed slope, Manning coefficient, river lag time, and flow calculation method; the attributes of the power generation connection line and virtual load line object include at least one of the following: entity type, line name, line code, channel capacity, safety margin, reserved capacity, available capacity, line length, resistance, resistivity, and cross-sectional area.

6. The general method for constructing watershed topology according to claim 1, characterized in that, Step S3 includes: Determine the preset connection method between topology nodes, where: The reservoir is connected to the river channel and its cross-section via a water diversion pipeline; The hydropower station is connected to the reservoir via a water diversion pipeline and to the grid connection point via a power generation connection line; Wind power stations and solar power stations are connected to the grid connection point via power generation connection lines; The grid connection point is connected to the hydropower station, wind power station, and solar power station through the power generation connection line, and is also connected to the virtual load point through the virtual load line; The virtual load point is connected to the grid connection point through the virtual load line.

7. The general method for constructing watershed topology according to claim 6, characterized in that, Step S3 further includes: Establish water network connection rules and water balance equations with river cross-sections as key nodes. The river cross-sections are used to collect and distribute the associated river inflow, water intake flow, drainage flow, reservoir outflow, and catchment flow.

8. The general method for constructing watershed topology according to claim 6, characterized in that, Step S3 further includes: Establish grid connection rules and power balance equations with grid connection points as the core. The grid connection points are used to collect the power output of their associated hydropower stations, wind power stations, photovoltaic power stations and other grid connection points, and transmit the power to the virtual load points through virtual load lines.

9. The general method for constructing watershed topology according to claim 1, characterized in that, Step S4 includes: The topology of the water network is digitally encoded. Based on the natural flow direction of the water, the river channels and their associated river sections and reservoirs are assigned topological numbers with sequential relationships. The confluence, bifurcation and flow direction of the river are expressed through the inclusion and sequence of the numbers.

10. The general method for constructing watershed topology according to claim 9, characterized in that, Step S4 further includes: The power grid topology is digitally encoded. Based on the path of electricity flow from the generation end to the receiving end, topology numbers with transmission relationships are assigned to power plants, grid connection points, virtual load points and their connecting lines. The power transmission path and overall flow direction are expressed by the matching relationship between the first and last numbers of the connected objects.

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