CN116799780A - Distributed photovoltaic bearing capacity assessment method, system and terminal for power distribution network - Google Patents
Distributed photovoltaic bearing capacity assessment method, system and terminal for power distribution network Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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Abstract
The application provides a method, a system and a terminal for evaluating distributed photovoltaic bearing capacity of a power distribution network, and belongs to the technical field of distributed photovoltaic, wherein the method comprises the following steps: acquiring the integrated model information of the main distribution network; carrying out equipment topological relation search by taking a bus, a line and a main transformer as topological starting points; acquiring power flow related to power prediction and load prediction to calculate section data; performing thermal stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result; and carrying out safety check on short-circuit current, voltage deviation and power flow of the power distribution network to obtain power grid bearing capacity evaluation information, and carrying out statistics output. The method can be used for carrying out interaction with the tide calculation in real time to obtain real-time and historical limit section data, supporting interaction with the power prediction and load prediction application to obtain a future state calculation section, carrying out accurate analysis on the power-assisted bearing capacity, and improving the safety and accuracy of bearing capacity assessment.
Description
Technical Field
The application belongs to the technical field of distributed photovoltaic, and particularly relates to a distributed photovoltaic bearing capacity evaluation method and system for a power distribution network and an evaluation terminal.
Background
At present, photovoltaic power generation is a popular new energy form, and a large number of photovoltaic power generation is connected into a power distribution network, so that serious challenges are brought to stable operation of the power distribution network. Therefore, research on the distributed photovoltaic bearing capacity of the power grid is needed, and the distributed photovoltaic bearing capacity of the power grid is evaluated, so that the maximum photovoltaic capacity which can be accessed by the power grid is determined, reference is provided for power grid planning, and a new idea is provided for reducing the operation burden of the main network.
Along with the improvement of the permeability of the distributed photovoltaic in the power distribution network, the traditional power distribution network is evolving to a novel active power distribution network, the bearing capacity of the power distribution network is reasonably evaluated, the method is an important premise for guiding the orderly grid connection and effective absorption of new energy sources such as the distributed photovoltaic, and the method is also a key foundation for further improving the access level of the distributed new energy sources.
In the prior art, in the establishment of offline power grid bearing capacity analysis application, a simulation model is mainly carried out aiming at distributed photovoltaics of a power distribution network, and an optimal solution is calculated by utilizing an optimizing algorithm. In addition, the existing technical scheme adopts an offline simulation model construction, and the network model and topology of the power distribution network are frequently changed due to the grid connection, load access and operation mode change of the distributed new energy, so that the offline simulation model needs to be maintained according to the latest model, parameters and topology of the power distribution network, and the workload is high.
The method also adopts a historical data section mode to calculate, section data at a certain time can be obtained only through an offline data file mode, and future state data sections are not considered yet.
Disclosure of Invention
The application provides a distributed photovoltaic bearing capacity assessment method of a power distribution network, which comprises the steps of constructing a topology analysis module in a regulation cloud to realize calculation range analysis of the photovoltaic bearing capacity; acquiring tide section data through tide analysis application interaction; and calculating and evaluating the power grid bearing capacity by using the platform equipment parameter information and the tide data section, evaluating the distributed photovoltaic bearing capacity of the power distribution network, determining the capacity of the system for bearing new energy, and providing scientific data for new energy access.
The method comprises the following steps:
s1: acquiring the integrated model information of the main distribution network;
s2: carrying out equipment topological relation search by taking a bus, a line and a main transformer as topological starting points; the searching mode is that searching upwards is carried out on a 220kV transformer end, searching downwards is carried out on a 10kV bus end, and a list to be evaluated is formed;
s3: acquiring power flow section data of a relevant load day history or section data calculated by combining power prediction and load prediction data in future state;
s4: performing thermal stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
s5: and carrying out safety check on short-circuit current, voltage deviation, harmonic wave and tide of the power distribution network to obtain power grid bearing capacity evaluation information, and carrying out statistics output.
It should be further noted that, the integrated model information of the main distribution network in step S1 includes: parameter information of a bus, parameter information of a transformer and a winding and parameter information of a circuit;
the parameter information of the bus includes: voltage class, large mode short circuit impedance, small mode short circuit impedance, resistance, short circuit current limit, maximum positive voltage deviation allowable value, maximum negative voltage deviation allowable value;
the parameter information of the line includes: voltage class and current limit;
the parameter information of the transformer and the winding comprises: voltage class, capacity limit, and line current limit.
Further, the thermal stability calculation method calculates the reverse load factor of the i-th load day 96-point line and the transformer winding side based on the n-load day 96-point operation data informationThe method comprises the steps of carrying out a first treatment on the surface of the Reverse load factor->The calculation mode of (a) is as follows:
wherein ,distributed photovoltaic output for transformers or lines, < >>Subtracting distributed photovoltaic for simultaneous load for equivalent use of other power sources, +.>Is the operating limit for the transformer or line.
In combination with obtaining section data and a tide direction from tide calculation, the reverse load rate calculation method can be simplified as follows:
wherein ,the active power is the section moment.
Obtaining the maximum value according to the calculation of the reverse load rate at each momentAnd maximum value occurrence time information, and acquiring bus information by combining topology information.
It should be further noted that, according to the reverse load rateCalculating the newly increased distributed power capacity of each load day，
wherein ,running margin system for equipment, in->；
Obtaining a newly added distributed photovoltaic capacity array P:
，/>representing each newly added distributed photovoltaic capacity in the array;
performing security check according to the maximum reverse load rate and the newly-increased distributed power supply capacity, performing level evaluation according to the security check result, and counting the load capacity of each bus to obtain each voltageMaximum value P of grade newly increased load capacity m ：
；/>The newly added capacity value for each voltage class to meet the safety check.
In the method, a current limit value, a capacity limit value, a short-circuit current limit value of each voltage class, and a voltage fluctuation limit value are also set.
The application also provides a distributed photovoltaic bearing capacity evaluation system of the power distribution network, which comprises: the system comprises a man-machine interaction module, a topology analysis module, a section calculation module, a bearing capacity calculation module and a safety check module;
the man-machine interaction module is used for acquiring the information of the integrated model of the main distribution network;
the topology analysis module is used for searching the topological relation of the equipment by taking a bus, a line and a main transformer as topological starting points; the searching mode is that upward searching is carried out on the 220kV transformer end, downward searching is carried out on the 10kV bus end, and searching information is configured into a list to be evaluated;
the section calculation module is used for acquiring historical power flow section data and future state power flow section data considering power prediction and load prediction;
the bearing capacity calculation module is used for carrying out heat stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
and the safety check module is used for carrying out safety check on short-circuit current, voltage deviation, harmonic waves and power flow of the power distribution network, obtaining power grid bearing capacity evaluation information and carrying out statistics output.
The application also provides an evaluation terminal which comprises an input device, an output device, a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the distributed photovoltaic bearing capacity evaluation method of the power distribution network when executing the program.
From the above technical scheme, the application has the following advantages:
the running data related to the distributed photovoltaic bearing capacity evaluation method and the distributed photovoltaic bearing capacity evaluation system for the power distribution network can be obtained in real time, real-time and historical limit section data can be obtained through interaction with tide calculation in real time, future state calculation sections can be obtained through interaction with power prediction and load prediction application, and power-assisted bearing capacity accurate analysis is supported. According to the safety check method, the tide check and the static safety analysis check are considered from the system level, so that the safety and the accuracy of bearing capacity assessment are improved.
The method effectively solves the problems that in the prior art, an off-line simulation model is adopted, and the distributed photovoltaic bearing capacity assessment workload is large and the assessment is inaccurate because the network model and topology of the power distribution network are frequently changed due to the grid connection, load access and operation mode change of the distributed new energy.
According to the power distribution network distributed photovoltaic bearing capacity assessment method provided by the application, the dispatching system resources are utilized, the power distribution network distributed photovoltaic bearing capacity assessment application is constructed based on the regulation and control cloud main-distribution integrated power grid model, the power distribution network real-time operation information and the future state power flow information are obtained through interaction with the regulation and control cloud power flow calculation, the power prediction and other applications, and then the bearing capacity assessment calculation is carried out, so that the power distribution network distributed photovoltaic bearing capacity assessment method can adapt to the development trend of the current power distribution network dispatching support system, and has wide adaptability and higher popularization value.
The distributed photovoltaic bearing capacity application of the power distribution network is built based on the regulation and control cloud platform, the platform model and the parameter information are shared, linkage with platform tide calculation, power prediction, load prediction and static safety analysis application is achieved, and the distributed photovoltaic bearing capacity application method is suitable for engineering implementation and deployment.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings that are needed in the description will be briefly introduced below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for evaluating the distributed photovoltaic load capacity of a power distribution network;
fig. 2 is a schematic diagram of a distributed photovoltaic load capacity evaluation system of a power distribution network;
fig. 3 is a schematic diagram of an evaluation terminal.
Detailed Description
The method for evaluating the distributed photovoltaic bearing capacity of the power distribution network can acquire and process the related power distribution network data and the distributed photovoltaic data based on an artificial intelligence technology. Of course, the distributed photovoltaic bearing capacity evaluation method of the power distribution network also has a machine learning function, wherein the machine learning and the deep learning in the method generally comprise the technologies of artificial neural network, confidence network, reinforcement learning, transfer learning, induction learning, teaching learning and the like.
The method comprises the steps of model parameter reading, calculation range selection, section selection and starting calculation based on a man-machine interaction mode. The application performs a computing device import and computing range topology search based on topology analysis functionality. And calculating parameter setting, thermal stability calculation and result statistics based on the bearing capacity calculation function. The security check function mainly comprises security analysis and interaction with a static security analysis application to obtain security check result information. And furthermore, the load capacity of the power distribution network can be calculated and evaluated, the evaluation of the distributed photovoltaic load capacity of the power distribution network is realized, the capacity of the system for bearing new energy is determined, and scientific data is provided for new energy access.
The following explains the keywords related to the present application.
Grid load capacity: and under the conditions that the equipment is not overloaded continuously and the short-circuit current, voltage deviation and harmonic waves are not out of standard, the power grid accommodates the maximum capacity of a power supply and a load.
Distributed photovoltaic load-bearing capacity: the distributed photovoltaic bearing capacity refers to the maximum capacity of the distribution network for accommodating the distributed photovoltaic under the condition that power supply equipment and lines are not overloaded and various performance parameters of the system are not out of standard.
And (3) power grid topology analysis: the power grid topology analysis is a basic function of power simulation calculation, and the essence of the power grid topology analysis is to reflect the connection relation of network elements through a certain incidence matrix.
And (3) load flow calculation: the power flow calculation refers to calculating the operation value of the whole network according to the initial power grid structure and the system operation condition, including the power distribution among lines, the bus voltage, the network power loss value, the tide value of each line and the like, and is essentially a solution for solving a set of nonlinear equations.
And (3) power prediction: the power prediction is a process of predicting the power generation amount in a future period of time according to historical power generation data, weather forecast, environmental factors, operation and maintenance conditions and other related factors. The power prediction can enable power generation enterprises to better schedule the power generation capacity, reasonably arrange the power supply, and improve the power generation efficiency and the economic benefit.
Load prediction: the load forecast is to forecast load demands of several hours, days or weeks in the future by utilizing information such as historical load data, weather forecast, seasonal factors and the like, and plays an important role in controlling the operation and the dispatching of the power system in real time. The load prediction can provide accurate load demand prediction, and support is provided for safe, reliable and efficient operation of the power system.
Regulating and controlling cloud: the power grid regulation cloud is a power system dispatching decision support platform constructed based on technical means such as cloud computing, big data, artificial intelligence and the like. The main functions of the power grid regulation cloud comprise power market transaction, electric quantity prediction, power grid state monitoring, access scheduling of new energy sources such as wind power, photovoltaic and the like, and decision support is provided for scheduling and controlling a power system through integration and analysis of various data so as to realize the intellectualization, self-adaption and high efficiency of the power grid.
It should be noted that, as shown in fig. 3, the method for evaluating distributed photovoltaic load capacity of a power distribution network provided by the present application is applied to one or more evaluation terminals, where the evaluation terminals are devices capable of automatically performing numerical calculation and/or information processing according to preset or stored instructions, and the hardware includes, but is not limited to, a processor 401, an Application specific integrated circuit (Application SpecificIntegratedCircuit, ASIC), a programmable gate array (Field-ProgrammableGate Array, FPGA), a digital processor (DigitalSignalProcessor, DSP), an embedded device, and the like. The evaluation terminal of course also comprises input means 403, output means 404, memory 402 etc. The input device may be a mouse keyboard. The output device may be a display screen or a touch display screen or the like.
The evaluation terminal is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The network in which the evaluation terminal is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a virtual private network (Virtual Private Network, VPN), and the like.
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, a flowchart of a method for evaluating a distributed photovoltaic load capacity of a power distribution network according to an embodiment is shown, where the method includes:
s1: acquiring the integrated model information of the main distribution network;
the main distribution network integrated model information comprises: parameter information of a bus, parameter information of a transformer and a winding and parameter information of a circuit;
the parameter information of the bus includes: voltage class, large mode short circuit impedance, small mode short circuit impedance, resistance, short circuit current limit, maximum positive voltage deviation allowable value, maximum negative voltage deviation allowable value;
the parameter information of the line includes: voltage class and current limit; the line may be an output test line of a transformer.
The parameter information of the transformer and the winding comprises: voltage class, capacity limit, and line current limit.
The main distribution network integrated model information related by the application can be not only the information, but also other distribution information can be acquired according to the evaluation requirement to assist the distributed photovoltaic bearing capacity of the distribution network to evaluate.
The acquiring mode can be input into the system by an evaluator, or the system automatically acquires based on the actual running state, or the system simulates a corresponding use scene to acquire the integrated model information of the main and distribution network based on a preset mode, and the specific form is not limited.
It should be noted that the application can also be dynamically updated based on the power grid model without manual maintenance. Based on the regulation and control cloud main-distribution integrated model and data, when the power grid model changes, the bearing capacity analysis model and parameters automatically change along with the platform model, and independent maintenance is not needed. The operation data of the power distribution network is obtained online, and offline export is not needed.
S2: carrying out equipment topological relation search by taking a bus, a line and a main transformer as topological starting points;
the searching mode is that searching upwards is carried out on a 220kV transformer end, searching downwards is carried out on a 10kV bus end, and a list to be evaluated is formed;
specifically, the application can design the processes of device importing in a calculation range, topology searching analysis and topology result output. The method comprises the steps that a computing range device importing function acquires device information to be topologically obtained from a human-computer interaction interface; the topology searching function searches the topological relation of the equipment by taking buses, lines and main transformers as topology starting points, searches up to a 220kV transformer and searches down to a 10kV bus to form a list to be evaluated. The topology result output is used for storing the topology analysis result of the range to be evaluated and sharing the result with the bearing capacity calculation module.
S3: acquiring power flow related to power prediction and load prediction to calculate section data, and supporting simultaneous calculation of multiple sections;
s4: performing thermal stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
in this embodiment, a current limit value, a capacity limit value, a short-circuit current limit value for each voltage class, and a voltage fluctuation limit value are set in advance. Wherein, the short-circuit current limit value is 220kV default value 50kA, 110kV default value 40kA, 35kV default value 25kA and 10kV default value 20kA; the maximum forward deviation of voltage fluctuation is 6%, and the maximum negative voltage allowable value is 4%.
The thermal stability calculation function follows DL/T2041-2019 'distributed power supply access power grid bearing capacity evaluation guide rules' and is based on a power grid model and 96-point operation data information of appointed load day, and firstly, reverse load rates of an ith load day 96-point line and a transformer winding side are calculatedThe method comprises the steps of carrying out a first treatment on the surface of the Reverse load factor->The calculation mode of (a) is as follows:
wherein ,distributed photovoltaic output for transformers or lines, < >>Subtracting distributed photovoltaic for simultaneous load for equivalent use of other power sources, +.>Is the operating limit for the transformer or line.
In combination with obtaining section data and a tide direction from tide calculation, the reverse load rate calculation method can be simplified as follows:
wherein ,the active power is the section moment.
Obtaining the maximum value according to the calculation of the reverse load rate at each momentAnd maximum value occurrence time information, and obtaining a bottleneck bus or a line of the bus by combining topology information.
Second, according to the reverse load rateCalculating the newly increased distributed power capacity per load day>，
wherein ,running margin system for equipment, in->；
Obtaining a newly added distributed photovoltaic capacity array P:
，/>representing each newly added distributed photovoltaic capacity in the array;
then, carrying out safety check according to the maximum reverse load rate and the newly added distributed power supply capacity, carrying out grade assessment according to the safety check result, and counting the load capacity of each bus to obtain the maximum value P of the newly added load capacity of each voltage grade m ：
；/>The newly added capacity value for each voltage class to meet the safety check.
S5: and carrying out safety check on short-circuit current, voltage deviation, harmonic wave and tide of the power distribution network to obtain power grid bearing capacity evaluation information, and carrying out statistics output.
According to the embodiment of the application, the voltage deviation and short-circuit current check is performed according to parameter set values, and the power flow calculation is performed according to the power grid planning operation mode, load prediction data and the newly added distributed power supply capacity information of each voltage class bus node; and interacting with static security analysis application on the basis of tide calculation, performing N-1 security cross checking, obtaining a checking result and adjusting the capacity of the newly increased distributed power supply.
In one exemplary embodiment, the operational data of the present application is obtained online, without being exported offline. The method also supports linkage with tide calculation application, and acquires real-time section and historical section data; the method supports running mode adjustment and power flow calculation, historical section data can acquire power flow typical daily section data, future state calculation sections can be acquired through interaction with power prediction and load prediction application, multi-typical daily section data switching and real-time acquisition are supported, and offline derivation is not needed.
Optionally, the application can realize multi-level and multi-constraint safety check, and on the basis of single-constraint check of short-circuit current, voltage offset and the like, the safety check of the newly increased capacity of the distributed photovoltaic is performed from the angles of the whole network, cross-domain connecting lines and the like by interacting with a tide calculation application and a static safety analysis application.
As shown in fig. 2, the following is an embodiment of a distributed photovoltaic load capacity evaluation system of a power distribution network provided by an embodiment of the present disclosure, where the system and the distributed photovoltaic load capacity evaluation method of the foregoing embodiments belong to the same inventive concept, and details of the embodiment of the distributed photovoltaic load capacity evaluation system of the power distribution network are not described in detail, and reference may be made to the embodiment of the foregoing distributed photovoltaic load capacity evaluation method of the power distribution network.
The system comprises: the system comprises a man-machine interaction module, a topology analysis module, a section calculation module, a bearing capacity calculation module and a safety check module;
the man-machine interaction module is used for acquiring the information of the integrated model of the main distribution network;
the main distribution network integrated model information read by the man-machine interaction module comprises bus, transformer, winding and line information, and bus parameters comprise voltage class, large-mode short circuit impedance, small-mode short circuit impedance, resistance, short circuit current limit value, maximum positive voltage deviation allowable value and maximum negative voltage deviation allowable value.
The line parameters include voltage class and current limit.
The transformer winding parameters include voltage class and capacity limits; the calculation range selection of the application depends on the acquired model information, and supports the calculation range selection according to the classification of the station, the bus, the transformer and the line.
The section selection comprises selection of real-time state, future state and historical data, the section selection interacts with a tide calculation application to obtain typical historical section data such as maximum load day, the future state support interacts with a power prediction and load prediction application to obtain power generation and load information of a specified time period, and 96-point data of a specified load day in the selected state is also provided; and starting a calculation function to call a bearing capacity calculation module and providing topology information, model and parameter information and running section data.
The topology analysis module is used for searching the topological relation of the equipment by taking a bus, a line and a main transformer as topological starting points; the searching mode is that upward searching is carried out on the 220kV transformer end, downward searching is carried out on the 10kV bus end, and searching information is configured into a list to be evaluated;
alternatively, the topology analysis module may save the topology analysis result of the range to be evaluated and perform result sharing with the bearing capacity calculation module.
The section calculation module is used for acquiring power flow related to power prediction and load prediction to calculate section data;
the bearing capacity calculation module is used for carrying out heat stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
and the safety check module is used for carrying out safety check on the short-circuit current, the voltage deviation and the power flow of the power distribution network, obtaining power grid bearing capacity evaluation information and carrying out statistics output.
Therefore, the application can be used for carrying out interaction with the tide calculation in real time to obtain real-time and historical limit section data, and also can support interaction with the power prediction and load prediction application to obtain future state calculation sections, thereby accurately analyzing the power-assisted bearing capacity. The method solves the problems that in the prior art, only single constraint check such as short-circuit current and voltage offset is considered in safety check, and multi-constraint check such as full-network power flow and N-1 analysis is not considered.
The units and algorithm steps of each example described in the embodiments disclosed in the distributed photovoltaic load capacity evaluation system of the power distribution network provided by the application can be implemented in electronic hardware, computer software or a combination of the two, and in order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functions in the above description. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The distributed photovoltaic load capacity assessment system for a power distribution network provided by the application is the units and algorithm steps of each example described in connection with the embodiments disclosed herein, and can be implemented in electronic hardware, computer software or a combination of both, and in order to clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functions in the above description. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The evaluation terminal provided by the application comprises, but is not limited to, an object-oriented programming language such as Java, smalltalk, C ++, and a conventional procedural programming language such as the "C" language or similar programming languages.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. The distributed photovoltaic bearing capacity evaluation method for the power distribution network is characterized by comprising the following steps of:
s1: acquiring the integrated model information of the main distribution network;
s2: carrying out equipment topological relation search by taking a bus, a line and a main transformer as topological starting points; the searching mode is that searching upwards is carried out on a 220kV transformer end, searching downwards is carried out on a 10kV bus end, and a list to be evaluated is formed;
s3: acquiring power flow section data of a relevant load day history or section data calculated by combining power prediction and load prediction data in future state;
s4: performing thermal stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
s5: and carrying out safety check on short-circuit current, voltage deviation, harmonic wave and tide of the power distribution network to obtain power grid bearing capacity evaluation information, and carrying out statistics output.
2. The method for evaluating distributed photovoltaic load capacity of a power distribution network according to claim 1,
the main distribution network integrated model information in step S1 includes: parameter information of a bus, parameter information of a transformer and a winding and parameter information of a circuit;
the parameter information of the bus includes: voltage class, large mode short circuit impedance, small mode short circuit impedance, resistance, short circuit current limit, maximum positive voltage deviation allowable value, maximum negative voltage deviation allowable value;
the parameter information of the line includes: voltage class and current limit;
the parameter information of the transformer and the winding comprises: voltage class, capacity limit, and line current limit.
3. The method for evaluating distributed photovoltaic load capacity of a power distribution network according to claim 1,
the thermal stability calculation mode is to calculate the reverse load rate of the 96-point line and the transformer winding side on the ith load day based on the 96-point operation data information on the n load daysThe method comprises the steps of carrying out a first treatment on the surface of the Reverse load factor->The calculation mode of (a) is as follows:
wherein ,distributed photovoltaic output for transformers or lines, < >>Subtracting distributed photovoltaic for simultaneous load for equivalent use of other power sources, +.>For transformers or linesIs a running limit of (2);
in combination with obtaining section data and a tide direction from tide calculation, the reverse load rate calculation method can be simplified as follows:
wherein ,active power of the section moment point;
obtaining the maximum value according to the calculation of the reverse load rate at each momentAnd maximum value occurrence time information, and acquiring bus information by combining topology information.
4. The method for evaluating distributed photovoltaic load capacity of a power distribution network according to claim 3,
obtaining the maximum value according to the calculation of the reverse load rate at each momentAnd maximum value occurrence time information, and acquiring bus information by combining topology information.
5. The method for evaluating distributed photovoltaic load capacity of a power distribution network according to claim 4, wherein the reverse load factor is usedCalculating the newly increased distributed power capacity per load day>，
wherein ,running margin system for equipment, in->；
Obtaining a newly added distributed photovoltaic capacity array P:
，/>representing each newly added distributed photovoltaic capacity in the array;
performing safety check according to the maximum reverse load rate and the newly added distributed power supply capacity, performing grade assessment according to the safety check result, and counting the load capacity of each bus to obtain the maximum value P of the newly added load capacity of each voltage grade m ：
；/>The newly added capacity value for each voltage class to meet the safety check.
6. The method for evaluating the distributed photovoltaic load capacity of a power distribution network according to claim 4, wherein a current limit, a capacity limit, a short-circuit current limit for each voltage class, and a voltage fluctuation limit are also set.
7. A distributed photovoltaic bearing capacity evaluation system of a power distribution network, which is characterized in that the system adopts the distributed photovoltaic bearing capacity evaluation method of the power distribution network according to any one of claims 1 to 6;
the system comprises: the system comprises a man-machine interaction module, a topology analysis module, a section calculation module, a bearing capacity calculation module and a safety check module;
the man-machine interaction module is used for acquiring the information of the integrated model of the main distribution network;
the topology analysis module is used for searching the topological relation of the equipment by taking a bus, a line and a main transformer as topological starting points; the searching mode is that upward searching is carried out on the 220kV transformer end, downward searching is carried out on the 10kV bus end, and searching information is configured into a list to be evaluated;
the section calculation module is used for acquiring historical power flow section data and future state power flow section data considering power prediction and load prediction;
the bearing capacity calculation module is used for carrying out heat stability calculation according to the equipment topological relation search result to obtain a reverse load rate and an accessible distributed photovoltaic capacity result;
and the safety check module is used for carrying out safety check on short-circuit current, voltage deviation, harmonic waves and power flow of the power distribution network, obtaining power grid bearing capacity evaluation information and carrying out statistics output.
8. An evaluation terminal comprising an input device, an output device, a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for evaluating the distributed photovoltaic load capacity of a power distribution network according to any one of claims 1 to 6 when the program is executed by the processor.
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