CN117498351B - Full-model simulation system based on real-time data of power grid and used for loop closing control - Google Patents
Full-model simulation system based on real-time data of power grid and used for loop closing control Download PDFInfo
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Abstract
The invention provides a full model simulation system based on real-time data of a power grid and used for loop closing control, which relates to the field of power supply systems and comprises the following components: the data acquisition module is used for acquiring the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network, wherein the loop closing real-time data at least comprises real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of each tie switch in the target power distribution network; the simulation building module is used for building a loop closing simulation model based on the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network; the loop closing screening module is used for determining at least one candidate loop closing node based on the loop closing simulation model and loop closing target information; the loop closing optimization module is used for determining an optimal loop closing node from at least one candidate loop closing point based on the loop closing simulation model and a plurality of loop closing optimization indexes, and has the advantage of improving the reliability of loop closing.
Description
Technical Field
The invention relates to the field of power supply systems, in particular to a full-model simulation system based on real-time data of a power grid and used for loop closing control.
Background
With the continuous perfection of the power grid structure of the modern power system, the power operation modes are increasingly increased, so as to further improve the reliability of the power grid operation department, reduce the network loss, improve the on-load capacity and the utilization efficiency of the network, enable the mutual capacity to be stronger, establish a large number of looped networks in the current power system, and enable the power distribution network to meet the requirements of various operation modes. When the power distribution network performs loop closing operation, the power supplies at two sides are generally in a split running state, and often overcurrent protection misoperation is caused by overlarge loop current generated in the loop closing operation due to the existence of bus or line voltage differences at two sides of a loop closing point switch.
In order to ensure uninterrupted power supply of important users, the change condition of distribution network power flow is known, unnecessary overload or accidents are avoided, and the loop closing current is required to be analyzed and calculated in detail, so that operators can properly adjust the operation mode of the regional power network, the benefits of the users are ensured, and the power failure loss is reduced. The power distribution network widely adopts a power supply mode of closed-loop design and open-loop operation, namely a structure with double power supplies and even multiple power supplies, which improves the flexibility of power supply and provides basic conditions for allowing the execution of loop closing operation. Therefore, when a certain bus, a switch, a feeder or related secondary changes need to be overhauled, the load on the bus, the switch or the feeder is transferred to other buses or feeders connected with the bus, the switch or the feeder without power failure through the ring closing operation, so that the power supply reliability can be improved. However, in some cases, if the ring closing operation is performed, a larger ring closing current is generated, so that malfunction or exceeding of the rated value of the equipment may be caused to the protection device, and safe and reliable operation of the power distribution network is affected.
Therefore, it is desirable to provide a full model simulation system for loop closing control based on grid real-time data for improving reliability of loop closing.
Disclosure of Invention
The invention provides a full model simulation system based on real-time data of a power grid and used for loop closing control, which comprises the following components: the system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring a topological structure of a target power distribution network and loop closing real-time data of the target power distribution network, wherein the loop closing real-time data at least comprises real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of each contact switch in the target power distribution network; the simulation building module is used for building a loop closing simulation model based on the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network; the loop closing screening module is used for determining at least one candidate loop closing node based on the loop closing simulation model and loop closing target information; the loop closing optimization module is used for determining an optimal loop closing node from the at least one candidate loop closing node based on real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of a tie switch corresponding to each candidate loop closing node; the loop closing optimization module determines an optimal loop closing node from the at least one candidate loop closing node based on real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of a tie switch corresponding to each candidate loop closing node, and the loop closing optimization module comprises the following steps: for each candidate loop closing node, determining an electrical characteristic stable value of the power distribution nodes at two sides of the tie switch corresponding to the candidate loop closing node based on real-time electrical characteristics of the power distribution nodes at two sides of the tie switch corresponding to the candidate loop closing node; based on the electrical characteristic stable values of the distribution nodes at the two sides of the tie switch corresponding to each candidate loop closing point, screening the at least one candidate loop closing point for the first time, and determining at least one first loop closing point; based on the real-time electrical characteristics of the distribution nodes at two sides of the tie switch corresponding to each first loop closing point, performing second screening on the at least one first loop closing point, and determining at least one second loop closing point: and determining a loop closing matching score of the second loop closing point based on real-time operation environment information and load related information of power distribution nodes at two sides of a tie switch corresponding to each second loop closing point, and determining the optimal loop closing node from the at least one second loop closing point based on the loop closing matching score of the second loop closing point.
Further, the data acquisition module at least comprises a plurality of real-time data acquisition units and a plurality of edge calculation units, wherein one edge calculation unit corresponds to at least one real-time data acquisition unit, the real-time data acquisition unit comprises a bus data acquisition component, a plurality of equipment data acquisition components and a plurality of environment data acquisition components, the bus data acquisition component is used for acquiring real-time bus electrical characteristics of the power distribution node, the equipment data acquisition component is used for acquiring real-time equipment electrical characteristics of power distribution equipment of the power distribution node, the electrical characteristics of the power distribution node at least comprise the real-time bus electrical characteristics and the real-time equipment electrical characteristics, and the environment data acquisition component is used for acquiring real-time operation environment information of the power distribution node; the edge computing unit is used for carrying out data preprocessing on the data acquired by the corresponding real-time data acquisition unit, and uploading the preprocessed data to the simulation building module.
Further, the data acquisition module determines correspondence between the plurality of real-time data acquisition units and the plurality of edge calculation units by: determining the ring closing association degree of any two distribution nodes based on the topological structure and the historical operation information of the target distribution network; and determining the corresponding relation between the plurality of real-time data acquisition units and the plurality of edge calculation units based on the loop closing association degree of any two distribution nodes.
Further, the loop closing screening module determines at least one candidate loop closing node based on the loop closing simulation model and loop closing target information, including: and determining the at least one candidate ring-closing node based on the to-be-transferred node included in the ring-closing target information, the ring-closing simulation model and the state information of each distribution node in the target distribution network.
Further, the loop closing optimization module performs a second screening on the at least one first loop closing point based on real-time electrical characteristics of power distribution nodes on two sides of the tie switch corresponding to each first loop closing point, and determines at least one second loop closing point, including: for each first loop closing point, determining a voltage difference, a phase angle difference and a frequency difference on two sides of a tie switch corresponding to the first loop closing point, and a loop closing steady-state current and a loop closing impact current corresponding to the first loop closing point based on real-time electrical characteristics of power distribution nodes on two sides of the tie switch corresponding to the first loop closing point; and performing second screening on the at least one first loop closing point based on the voltage difference, the phase angle difference and the frequency difference on two sides of the tie switch corresponding to each first loop closing point, and the loop closing steady-state current and the loop closing impact current corresponding to each first loop closing point, so as to determine at least one second loop closing point.
Further, the loop closing optimization module determines a loop closing matching score of the second loop closing point based on real-time operation environment information and load related information of power distribution nodes at two sides of a tie switch corresponding to each second loop closing point, including: determining the score of the second loop closing point in the loop closing environment index based on the real-time operation environment information of the power distribution nodes at the two sides of the tie switch corresponding to each second loop closing point; determining the score of the second loop closing point on the loop closing load index based on the load related information of the distribution nodes at the two sides of the tie switch corresponding to the second loop closing point; and determining a loop closing matching score of the second loop closing point based on the score of the second loop closing point on the loop closing environment index and the score of the second loop closing point on the loop closing load index.
Further, the loop closing optimization module is further configured to determine an optimal loop closing time corresponding to the optimal loop closing node.
Further, the loop closing optimization module determines an optimal loop closing time corresponding to the optimal loop closing node, including: and determining the optimal closing time corresponding to the optimal closing point based on the real-time operation environment information and the load related information of the distribution nodes at the two sides of the interconnection switch corresponding to the optimal closing point.
Compared with the prior art, the full-model simulation system based on the real-time data of the power grid and used for loop closing control has the following beneficial effects:
1. By acquiring the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network, a loop closing simulation model is established to realize remote monitoring of the operation of the target power distribution network, furthermore, the optimal loop closing node can be determined based on the loop closing simulation model and loop closing target information, loop closing operation suggestion is provided for the load transfer of the target power distribution network, and the reliability of the subsequent loop closing operation is improved;
2. determining a loop closing matching score of the second loop closing point from three-dimensional angles of electrical characteristics, operation environment and load, and providing more comprehensive and accurate data support for determining an optimal loop closing point from at least one candidate loop closing point;
3. And determining the optimal ring closing time corresponding to the optimal ring closing point based on the real-time operation environment information and the load related information of the distribution nodes at the two sides of the interconnection switch corresponding to the optimal ring closing point, and improving the success rate of subsequent ring closing.
Drawings
The present specification will be further elucidated by way of example embodiments, which will be described in detail by means of the accompanying drawings. The embodiments are not limiting, in which like numerals represent like structures, wherein:
FIG. 1 is a block diagram of a full model simulation system for closed loop control based on grid real time data according to some embodiments of the present disclosure;
FIG. 2 is a schematic flow diagram of determining an optimal ring closing node, shown in accordance with some embodiments of the present description;
Fig. 3 is a schematic flow chart of determining a degree of closed-loop association between any two distribution nodes for which a closed-loop association exists, according to some embodiments of the present disclosure.
Description of the embodiments
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings that are required to be used in the description of the embodiments will be briefly described below. It is apparent that the drawings in the following description are only some examples or embodiments of the present specification, and it is possible for those of ordinary skill in the art to apply the present specification to other similar situations according to the drawings without inventive effort. Unless otherwise apparent from the context of the language or otherwise specified, like reference numerals in the figures refer to like structures or operations.
It will be appreciated that "system," "apparatus," "unit" and/or "module" as used herein is one method for distinguishing between different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.
As used in this specification and the claims, the terms "a," "an," "the," and/or "the" are not specific to a singular, but may include a plurality, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that the steps and elements are explicitly identified, and they do not constitute an exclusive list, as other steps or elements may be included in a method or apparatus.
A flowchart is used in this specification to describe the operations performed by the system according to embodiments of the present specification. It should be appreciated that the preceding or following operations are not necessarily performed in order precisely. Rather, the steps may be processed in reverse order or simultaneously. Also, other operations may be added to or removed from these processes.
Fig. 1 is a schematic block diagram of a full-model simulation system for loop closing control based on real-time data of a power grid according to some embodiments of the present disclosure, and as shown in fig. 1, a full-model simulation system for loop closing control based on real-time data of a power grid may include a data acquisition module, a simulation establishment module, a loop closing screening module, and a loop closing optimization module.
The data acquisition module can be used for acquiring the topological structure of the target power distribution network and loop closing real-time data of the target power distribution network.
In some embodiments, the data acquisition module may acquire the topology of the target power distribution network in any manner. For example, forming a set by using buses in all substations in a target power distribution network, selecting any bus B1 in the set and buses B1-1 … B1-n in the station, which are in loop operation with B1, as topology starting points, searching opposite side switches of a line along each line switch QF1, … QFn on the buses B1, B1- … B1-n in real time topology, processing search results, starting from a searched bus Bi along the rest of each line switch QFn +1 … QFm on the searched bus Bi, continuously processing search results according to the flow, and thus forming a gradually divergent topology path searching mode; when the topology path can not find any station any more, ending the current topology path search, and starting a new round of topology search identification from buses in other substations, thereby generating a topology structure of the target power distribution network.
The loop closing real-time data at least comprises real-time electrical characteristics, real-time operation environment information and load related information of distribution nodes on two sides of each tie switch in the target distribution network.
In some embodiments, the data acquisition module includes at least a plurality of real-time data acquisition units and a plurality of edge calculation units. Wherein one edge calculation unit corresponds to at least one real-time data acquisition unit.
The real-time data acquisition unit comprises a bus data acquisition component, a plurality of equipment data acquisition components and a plurality of environment data acquisition components, wherein the bus data acquisition component is used for acquiring real-time bus electrical characteristics (such as real-time A-phase current, real-time B-phase current, real-time C-phase current, real-time A-phase voltage, real-time B-phase voltage and real-time C-phase voltage) of the power distribution node, the equipment data acquisition component is used for acquiring real-time equipment electrical characteristics (such as current, voltage and electromagnetic radiation information) of the power distribution equipment of the power distribution node, the electrical characteristics of the power distribution node at least comprise real-time bus electrical characteristics and real-time equipment electrical characteristics, and the environment data acquisition component is used for acquiring real-time operation environment information (such as temperature, humidity, illumination, air pressure and dust) of the power distribution node.
The edge computing unit is used for carrying out data preprocessing on the data acquired by the corresponding real-time data acquisition unit, and uploading the preprocessed data to the simulation building module. Specifically, the edge calculation unit may process invalid data in the data acquired by the real-time data acquisition unit by using related technologies such as mathematical statistics, data mining, and predefined cleaning rules, so as to eliminate data such as errors, inconsistencies, incompleteness, repetition, and the like in the data acquired by the real-time data acquisition unit, and then output the cleaned data in a desired format.
In some embodiments, the edge calculation unit may be further configured to perform data completion after the invalid data is cleared. Specifically, the edge computing unit may complement real-time bus electrical characteristics of the distribution node after the invalid data is removed based on bus electrical characteristics of the distribution node at a plurality of historical time points through a first data complement model, complement real-time device electrical characteristics of the distribution device of the distribution node after the invalid data is removed based on device electrical characteristics of the distribution device of the distribution node at a plurality of historical time points through a second data complement model, and complement real-time operation environment information of the distribution node after the invalid data is removed based on operation environment information of the distribution node at a plurality of historical time points through a third data complement model. The first data complement model, the second data complement model and the third data complement model may be Long Short-Term Memory (LSTM) models.
In some embodiments, the data acquisition module determines correspondence of the plurality of real-time data acquisition units to the plurality of edge calculation units by:
determining the ring closing association degree of any two distribution nodes based on the topological structure and the historical operation information of the target distribution network;
Based on the loop closing association degree of any two distribution nodes, the corresponding relation between the plurality of real-time data acquisition units and the plurality of edge calculation units is determined.
Specifically, the data acquisition module may determine, based on the topology structure of the target power distribution network, whether a loop closing association exists between any two power distribution nodes, for example, if a tie switch exists between any two power distribution nodes, then determine that a loop closing association exists between the two power distribution nodes. And determining the degree of closed-loop association between any two distribution nodes with closed-loop association.
Fig. 3 is a schematic flow chart of determining a degree of closed-loop association between any two distribution nodes with closed-loop association according to some embodiments of the present disclosure, as shown in fig. 3, in some embodiments, the data acquisition module may determine the degree of closed-loop association between any two distribution nodes with closed-loop association by:
For a certain distribution node, taking the distribution node which is associated with the distribution node in a loop closing way as an associated distribution node of the distribution node;
For each associated power distribution node, determining a load similarity between the associated power distribution node and the power distribution node based on load information of the associated power distribution node;
For each associated power distribution node, determining a loop matching degree between the associated power distribution node and the power distribution node based on bus electrical characteristics of the associated power distribution node in a target historical period (e.g., the past year, the past half year, etc.) and bus electrical characteristics of the power distribution node in the target historical period;
For each associated power distribution node, determining the equipment stability of the associated power distribution node based on the bus electrical characteristics and the equipment electrical characteristics of the associated power distribution node at the target historical period;
for each associated power distribution node, determining an environment matching score of the associated power distribution node based on the operation environment information of the associated power distribution node in a target history period;
For each associated power distribution node, determining a loop closing priority score corresponding to the associated power distribution node based on a load similarity between the associated power distribution node and the power distribution node, a loop closing matching degree between the associated power distribution node and the power distribution node, equipment stability of the associated power distribution node and an environment matching score of the associated power distribution node;
and determining the loop closing association degree between each associated power distribution node and the power distribution node based on the loop closing priority score corresponding to each associated power distribution node.
For example, the data acquisition module may calculate the degree of closed-loop association between any two distribution nodes for which a closed-loop association exists by the following formula:
Wherein/> For the degree of loop closing association between the jth power distribution node and the ith associated power distribution node, the relation of the jth power distribution node and the ith associated power distribution node is/For the loop closing priority score corresponding to the ith associated power distribution node of the jth power distribution node,/>The priority score of the loop closing corresponding to the G associated power distribution node of the j power distribution node, G is the total number of the associated power distribution nodes of the j power distribution node,/>、/>、/>/>Are all preset weights,/>For the load similarity between the j-th power distribution node and the i-th associated power distribution node thereof,/>For the matching degree of the loop between the j-th power distribution node and the i-th associated power distribution node, the matching degree of the loop is/is thatEquipment stability for the ith associated power distribution node of the jth power distribution node,/>The environmental match score for the ith associated power distribution node of the jth power distribution node.
Specifically, for each associated power distribution node, the data acquisition module may first acquire a load feature matrix of the associated power distribution node and a load feature matrix of the power distribution node, where a row vector of the load feature matrix may be (Type, number), where Type may represent a certain load Type (e.g., etc.), number represents a Number of the load types, and calculate a matrix cosine similarity between the load feature matrix of the associated power distribution node and the load feature matrix of the power distribution node. And acquiring the electricity consumption of the load of the associated power distribution node in a plurality of historical periods of the target historical period and the electricity consumption of the load of the power distribution node in a plurality of historical periods of the target historical period, determining the electricity consumption similarity of the associated power distribution node and the power distribution node based on the electricity consumption of the load of the associated power distribution node in a plurality of historical periods of the target historical period and the electricity consumption of the load of the power distribution node in a plurality of historical periods of the target historical period, carrying out weighted summation on the matrix cosine similarity and the electricity consumption similarity, and determining the load similarity between the associated power distribution node and the power distribution node.
The data acquisition module may determine a time period in which the associated power distribution node may perform a loop closing operation with the power distribution node in the target historical period based on a bus electrical characteristic of the associated power distribution node in the target historical period and a bus electrical characteristic of the power distribution node in the target historical period, for example, the target historical period may be split into a plurality of historical time periods, and for each historical time period, the data acquisition module may determine a ratio of a sum of time lengths of the time periods in which loop closing can be performed to a time length of the target historical period based on the bus electrical characteristic of the associated power distribution node in the historical time period and the bus electrical characteristic of the power distribution node in the historical time period, as a voltage difference, a phase angle difference, and a frequency difference between two sides of the tie switch corresponding to the associated power distribution node and a loop closing steady-state current and a loop closing impact current between the tie switch corresponding to the associated power distribution node and the power distribution node.
The data acquisition module may determine, via the fault detection model, a device stability of the associated power distribution node based on bus electrical characteristics and device electrical characteristics of the associated power distribution node at the target historical period, the device stability of the associated power distribution node being indicative of a likelihood of the associated power distribution node failing. The fault detection model may be a machine learning model such as an artificial neural network (ARTIFICIAL NEURAL NETWORK, ANN) model, a cyclic neural network (Recurrent Neural Networks, RNN) model, a Long Short-Term Memory (LSTM) model, or a bidirectional cyclic neural network (BRNN) model.
The data acquisition module can determine the relevance between the loop closing operation and the environment based on the historical loop closing information of the target power distribution network and other power distribution networks, determine the optimal environment characteristic with higher loop closing success rate, determine the operating environment characteristic of the associated power distribution node based on the operating environment information of the associated power distribution node in the target historical period, calculate the environment similarity between the operating environment characteristic of the associated power distribution node and the optimal environment characteristic, and take the environment similarity as the environment matching score of the associated power distribution node.
In some embodiments, the data acquisition module may determine correspondence between the plurality of real-time data acquisition units and the plurality of edge calculation units based on a degree of loop closing association of any two power distribution nodes and a maximum computational power load of the edge calculation units. Specifically, the data acquisition module may determine a closed-loop power distribution node pair based on a closed-loop association degree of any two power distribution nodes, where the closed-loop power distribution node pair may include two power distribution nodes whose closed-loop association degree is greater than a preset closed-loop association degree threshold, and determine a corresponding calculation force demand of each closed-loop power distribution node pair, where the corresponding calculation force demand of the closed-loop power distribution node pair may be determined based on a size of a data volume acquired by a real-time data acquisition unit corresponding to two power distribution nodes included in the closed-loop power distribution node pair, and finally determine a corresponding relationship between a plurality of real-time data acquisition units and a plurality of edge calculation units based on a calculation force demand of each closed-loop power distribution node pair and a maximum calculation force load of an edge calculation unit. For example, one edge computing unit may correspond to a real-time data acquisition unit corresponding to two distribution nodes included in at least one closed loop distribution node pair, and the sum of the computing power requirements corresponding to all closed loop distribution node pairs corresponding to the edge computing unit is less than the edge computing unit maximum computing power load.
It can be understood that, by setting a plurality of edge computing units, the data preprocessing is completed in a scattering manner, the real-time performance of the data processing is improved, the task amount of a loop closing screening module and a loop closing optimizing module is reduced, further, the greater the loop closing association degree of two power distribution nodes is, the higher the possibility of carrying out loop closing operation on the two power distribution nodes is when any one of the two power distribution nodes needs to carry out load transfer, therefore, the two power distribution nodes with the loop closing association degree greater than the preset loop closing association degree threshold are used as loop closing power distribution node pairs, the data of the two power distribution nodes of the loop closing power distribution node pairs can be processed through the same edge computing unit, so that when a certain loop closing power distribution node pair needs to carry out loop closing judgment, the related data of the two power distribution nodes of the loop closing power distribution node pairs can synchronously carry out data processing and data transmission, and the efficiency of the subsequent optimal loop closing node determination is improved.
The simulation building module can be used for building a loop closing simulation model based on the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network.
The closed loop simulation model can be a digital model for simulating the operation of the target power distribution network. The simulation building module can build a loop closing simulation model in any mode based on the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network. For example, the simulation building module may build a loop closing simulation model based on the topology of the target power distribution network and the loop closing real-time data of the target power distribution network according to a data twinning technique.
The closed loop screening module may be configured to determine at least one candidate closed loop node based on the closed loop simulation model and the closed loop target information.
In some embodiments, the closed loop screening module determines at least one candidate closed loop node based on the closed loop simulation model and the closed loop target information, comprising: and determining at least one candidate loop closing node based on the to-be-transferred node included in the loop closing target information, the loop closing simulation model and the state information of each power distribution node in the target power distribution network.
Specifically, the node to be transferred may be a power distribution node that needs to perform load transfer, and the candidate ring closing node may be a power distribution node that is used for supplying power to the load transferred from the node to be transferred. The loop closing screening module may determine an associated power distribution node having a loop closing association degree with the node to be transferred greater than a preset loop closing association degree threshold, and determine at least one candidate loop closing node based on state information of the associated power distribution node having the loop closing association degree with the node to be transferred greater than the preset loop closing association degree threshold. For example, an associated power distribution node in a normal running state with a loop closing association degree between the power distribution node and the node to be transferred being greater than a preset loop closing association degree threshold value can be used as a candidate loop closing node of the node to be transferred.
The closed loop optimization module may be configured to determine an optimal closed loop node from at least one candidate closed loop point based on the closed loop simulation model.
In some embodiments, the closed loop optimization module determines an optimal closed loop node from at least one candidate closed loop point based on a closed loop simulation model, comprising:
And determining the optimal ring closing node from at least one candidate ring closing point based on the real-time electrical characteristics, the real-time operation environment information and the load related information of the distribution nodes at the two sides of the interconnection switch corresponding to each candidate ring closing point.
Fig. 2 is a schematic flow chart of determining an optimal ring closing node according to some embodiments of the present disclosure, as shown in fig. 2, in some embodiments, the ring closing optimization module determines the optimal ring closing node from at least one candidate ring closing point based on real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of a tie switch corresponding to each candidate ring closing point, including:
For each candidate loop closing node, determining the electrical characteristic stable value of the power distribution nodes at the two sides of the tie switch corresponding to the candidate loop closing node based on the real-time electrical characteristics of the power distribution nodes at the two sides of the tie switch corresponding to the candidate loop closing node;
Based on the electrical characteristic stable values of the distribution nodes at the two sides of the tie switch corresponding to each candidate loop closing point, screening at least one candidate loop closing point for the first time, and determining at least one first loop closing point;
Based on the real-time electrical characteristics of the distribution nodes at two sides of the tie switch corresponding to each first loop closing point, carrying out second screening on at least one first loop closing point, and determining at least one second loop closing point:
And determining the loop closing matching score of the second loop closing points based on the real-time operation environment information and the load related information of the power distribution nodes at the two sides of the tie switch corresponding to each second loop closing point, and determining the optimal loop closing node from at least one second loop closing point based on the loop closing matching score of the second loop closing points.
Specifically, the loop closing optimization module may determine current fluctuation conditions and voltage fluctuation conditions of the distribution nodes on two sides of the tie switch corresponding to the candidate loop closing point in the current period based on real-time bus electrical characteristics of the distribution nodes on two sides of the tie switch corresponding to the candidate loop closing point in the current period, determine electrical characteristic stable values of the distribution nodes on two sides of the tie switch corresponding to the candidate loop closing point, and take the candidate loop closing point with the electrical characteristic stable value larger than a preset electrical characteristic stable value threshold as the first loop closing point.
In some embodiments, the loop closing optimization module performs a second filtering on at least one first loop closing point based on real-time electrical characteristics of power distribution nodes on two sides of a tie switch corresponding to each first loop closing point, and determines at least one second loop closing point, including:
for each first loop closing point, determining a voltage difference, a phase angle difference and a frequency difference of two sides of the tie switch corresponding to the first loop closing point and a loop closing steady-state current and a loop closing impact current corresponding to the first loop closing point based on real-time electrical characteristics of power distribution nodes of two sides of the tie switch corresponding to the first loop closing point;
And performing second screening on at least one first loop closing point based on the voltage difference, the phase angle difference and the frequency difference at two sides of the interconnection switch corresponding to each first loop closing point, and the loop closing steady-state current and the loop closing impact current corresponding to each first loop closing point, and determining at least one second loop closing point.
Specifically, the loop closing optimization module may determine whether the candidate loop closing point meets a preset loop closing requirement set based on a voltage difference, a phase angle difference, and a frequency difference between two sides of the tie switch corresponding to the first loop closing point, and a loop closing steady-state current and a loop closing impact current corresponding to each first loop closing point, including:
calculating a differential pressure based on the differential pressure and the phase angle difference, and judging whether the differential pressure meets a preset differential pressure condition, for example, the differential pressure is less than or equal to 5% of rated voltage;
judging whether the phase difference meets the preset phase difference condition, for example, the phase difference is 0-30 degrees;
judging whether the frequency difference meets the preset frequency difference condition, for example + -0.05 Hz;
Judging whether the current difference between the closed loop steady-state current and the preset closed loop steady-state current is smaller than a preset current difference threshold value or not;
judging whether the loop closing impact current is smaller than a preset loop closing impact current or not.
The ring closing optimization module may use the first ring closing point satisfying the preset ring closing requirement set as the second ring closing point.
In some embodiments, the loop closing optimization module determines a loop closing matching score of the second loop closing point based on real-time operating environment information and load related information of the power distribution nodes on both sides of the tie switch corresponding to each second loop closing point, including:
determining the score of the second loop closing point in the loop closing environment index based on the real-time operation environment information of the power distribution nodes at the two sides of the tie switch corresponding to each second loop closing point;
Determining the score of the second loop closing point on the loop closing load index based on the load related information of the distribution nodes at the two sides of the tie switch corresponding to the second loop closing point;
And determining the loop closing matching score of the second loop closing point based on the score of the second loop closing point on the loop closing environment index and the score of the second loop closing point on the loop closing load index.
Specifically, the loop closing optimization module may determine the operation environment characteristics of the power distribution nodes on both sides of the tie switch corresponding to the second loop closing point based on the real-time operation environment information of the power distribution nodes on both sides of the tie switch corresponding to the second loop closing point, calculate the environmental similarity between the operation environment characteristics of the power distribution nodes on both sides of the tie switch corresponding to the second loop closing point and the optimal environment characteristics, and use the environmental similarity as the score of the second loop closing point on the loop closing environment index. The greater the environmental similarity, the higher the score of the second ring closure point on the ring closure environmental index.
The loop closing optimization module firstly acquires load feature matrixes of distribution nodes at two sides of the connecting switch corresponding to the second loop closing point, wherein row vectors of the load feature matrixes can be (Type, number) and the Type can represent a certain load Type (for example, equal), the Number represents the Number of the load Type, and the matrix cosine similarity between the load feature matrixes of the distribution nodes at two sides of the connecting switch corresponding to the second loop closing point is calculated. And then acquiring the electricity consumption of the loads of the distribution nodes at the two sides of the tie switch corresponding to the second loop closing point in a plurality of time periods of the current loop closing period (for example, 1 month, 1 week and the like), determining the electricity consumption similarity of the distribution nodes at the two sides of the tie switch corresponding to the second loop closing point in a plurality of time periods of the current loop closing period, carrying out weighted summation on the matrix cosine similarity and the electricity consumption similarity, and determining the score of the second loop closing point in the loop closing load index. The higher the matrix cosine similarity and/or the higher the electricity utilization similarity, the higher the score of the second loop closing point on the loop closing load index.
The loop closing optimization module may determine a loop closing match score for the second loop closing point based on a weighted sum of the score of the second loop closing point at the loop closing environmental indicator and the score of the second loop closing point at the loop closing load indicator.
It will be appreciated that determining the closed loop matching score for the second closed loop point from the three dimensional perspective of electrical characteristics, operating environment and load provides more comprehensive and accurate data support for determining the optimal closed loop point from the at least one candidate closed loop point.
In some embodiments, the ring closing optimization module is further configured to determine an optimal ring closing time corresponding to the optimal ring closing node. Specifically, based on real-time operation environment information and load related information of the distribution nodes at two sides of the tie switch corresponding to the optimal closing ring point, the optimal closing ring time corresponding to the optimal closing ring point is determined.
Specifically, the loop closing optimization module can predict the power consumption of the power distribution nodes on two sides of the tie switch corresponding to the optimal loop closing node in a plurality of future time periods based on the power consumption of the power distribution nodes on two sides of the tie switch corresponding to the optimal loop closing node in a plurality of time periods of the current loop closing period and the power consumption of the power distribution nodes on a plurality of historical time periods of a plurality of historical periods through a power consumption prediction model. And determining the load of the distribution nodes on the two sides of the tie switch corresponding to the optimal tie point in the future time period based on the predicted power consumption of the distribution nodes on the two sides of the tie switch corresponding to the optimal tie point in the future time period, and determining a load characteristic matrix of the distribution nodes on the two sides of the tie switch corresponding to the optimal tie point in the future time period. And taking a future time period, in which the load of the distribution nodes at the two sides of the interconnection switch corresponding to the optimal closing point in the future time period is smaller than a preset load threshold value and the matrix similarity between the load feature matrixes of the distribution nodes at the two sides of the interconnection switch corresponding to the optimal closing point in the future time period is larger than a preset matrix similarity threshold value, as a candidate future time period.
And predicting the running environment information of the loads of the distribution nodes on the two sides of the tie switch corresponding to the optimal tie point in a plurality of candidate future time periods based on the real-time running environment information of the loads of the distribution nodes on the two sides of the tie switch corresponding to the optimal tie point in a plurality of time periods of the current loop closing period and the real-time running environment information of the distribution nodes on a plurality of historical time periods of a plurality of historical periods through an environment prediction model. And for each candidate future time period, calculating the environmental similarity between the running environment information of the power distribution nodes on the two sides of the tie switch corresponding to the optimal closing ring node and the optimal environment characteristics of the candidate future time period, and taking the candidate future time period with the environmental similarity larger than a preset environmental similarity threshold as the optimal closing ring time.
The electric quantity prediction model and the environment prediction model can be machine learning models such as an artificial neural network (ARTIFICIAL NEURAL NETWORK, ANN) model, a cyclic neural network (Recurrent Neural Networks, RNN) model, a Long Short-Term Memory (LSTM) model, a bidirectional cyclic neural network (BRNN) model and the like. For each future time period.
It can be understood that the optimal ring closing time corresponding to the optimal ring closing point is determined based on the real-time operation environment information and the load related information of the power distribution nodes at the two sides of the interconnection switch corresponding to the optimal ring closing point, so that the success rate of subsequent ring closing is improved.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations to the present disclosure may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this specification, and therefore, such modifications, improvements, and modifications are intended to be included within the spirit and scope of the exemplary embodiments of the present invention.
Meanwhile, the specification uses specific words to describe the embodiments of the specification. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present description. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present description may be combined as suitable.
Furthermore, the order in which the elements and sequences are processed, the use of numerical letters, or other designations in the description are not intended to limit the order in which the processes and methods of the description are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present disclosure. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed in this specification and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure does not imply that the subject matter of the present description requires more features than are set forth in the claims. Indeed, less than all of the features of a single embodiment disclosed above.
Finally, it should be understood that the embodiments described in this specification are merely illustrative of the principles of the embodiments of this specification. Other variations are possible within the scope of this description. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present specification may be considered as consistent with the teachings of the present specification. Accordingly, the embodiments of the present specification are not limited to only the embodiments explicitly described and depicted in the present specification.
Claims (7)
1. A full model simulation system based on real-time data of a power grid and used for loop closing control, which is characterized by comprising:
The system comprises a data acquisition module, a control module and a control module, wherein the data acquisition module is used for acquiring a topological structure of a target power distribution network and loop closing real-time data of the target power distribution network, wherein the loop closing real-time data at least comprises real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of each contact switch in the target power distribution network;
the simulation building module is used for building a loop closing simulation model based on the topological structure of the target power distribution network and the loop closing real-time data of the target power distribution network;
the loop closing screening module is used for determining at least one candidate loop closing node based on the loop closing simulation model and loop closing target information;
The loop closing optimization module is used for determining an optimal loop closing node from the at least one candidate loop closing node based on real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of a tie switch corresponding to each candidate loop closing node;
the loop closing optimization module determines an optimal loop closing node from the at least one candidate loop closing node based on real-time electrical characteristics, real-time operation environment information and load related information of power distribution nodes on two sides of a tie switch corresponding to each candidate loop closing node, and the loop closing optimization module comprises the following steps:
For each candidate loop closing node, determining an electrical characteristic stable value of the power distribution nodes at two sides of the tie switch corresponding to the candidate loop closing node based on real-time electrical characteristics of the power distribution nodes at two sides of the tie switch corresponding to the candidate loop closing node;
based on the electrical characteristic stable values of the distribution nodes at the two sides of the tie switch corresponding to each candidate loop closing point, screening the at least one candidate loop closing point for the first time, and determining at least one first loop closing point;
Based on the real-time electrical characteristics of the distribution nodes at two sides of the tie switch corresponding to each first loop closing point, performing second screening on the at least one first loop closing point, and determining at least one second loop closing point:
Determining a loop closing matching score of each second loop closing point based on real-time operation environment information and load related information of power distribution nodes at two sides of a tie switch corresponding to each second loop closing point, and determining the optimal loop closing node from at least one second loop closing point based on the loop closing matching score of the second loop closing point;
The data acquisition module at least comprises a plurality of real-time data acquisition units and a plurality of edge calculation units, wherein one edge calculation unit corresponds to at least one real-time data acquisition unit, the real-time data acquisition unit comprises a bus data acquisition component, a plurality of equipment data acquisition components and a plurality of environment data acquisition components, the bus data acquisition component is used for acquiring real-time bus electrical characteristics of the power distribution node, the equipment data acquisition component is used for acquiring real-time equipment electrical characteristics of the power distribution equipment of the power distribution node, the electrical characteristics of the power distribution node at least comprise the real-time bus electrical characteristics and the real-time equipment electrical characteristics, and the environment data acquisition component is used for acquiring real-time operation environment information of the power distribution node;
The edge computing unit is used for carrying out data preprocessing on the data acquired by the corresponding real-time data acquisition unit, and uploading the preprocessed data to the simulation building module.
2. The full model simulation system for loop closing control based on real-time data of a power grid according to claim 1, wherein the data acquisition module determines the correspondence between the plurality of real-time data acquisition units and the plurality of edge calculation units by:
Determining the ring closing association degree of any two distribution nodes based on the topological structure and the historical operation information of the target distribution network;
And determining the corresponding relation between the plurality of real-time data acquisition units and the plurality of edge calculation units based on the loop closing association degree of any two distribution nodes.
3. The full model simulation system for loop closing control based on grid real-time data according to claim 1 or 2, wherein the loop closing screening module determines at least one candidate loop closing node based on the loop closing simulation model and loop closing target information, comprising:
And determining the at least one candidate ring-closing node based on the to-be-transferred node included in the ring-closing target information, the ring-closing simulation model and the state information of each distribution node in the target distribution network.
4. The full model simulation system for loop closing control based on real-time data of a power grid according to claim 1, wherein the loop closing optimization module performs a second screening on the at least one first loop closing point based on real-time electrical characteristics of power distribution nodes on two sides of a tie switch corresponding to each first loop closing point, and determines at least one second loop closing point, including:
For each first loop closing point, determining a voltage difference, a phase angle difference and a frequency difference on two sides of a tie switch corresponding to the first loop closing point, and a loop closing steady-state current and a loop closing impact current corresponding to the first loop closing point based on real-time electrical characteristics of power distribution nodes on two sides of the tie switch corresponding to the first loop closing point;
And performing second screening on the at least one first loop closing point based on the voltage difference, the phase angle difference and the frequency difference on two sides of the tie switch corresponding to each first loop closing point, and the loop closing steady-state current and the loop closing impact current corresponding to each first loop closing point, so as to determine at least one second loop closing point.
5. The full model simulation system for loop closing control based on real-time data of a power grid according to claim 1, wherein the loop closing optimization module determines a loop closing matching score of each second loop closing point based on real-time operation environment information and load related information of power distribution nodes at two sides of a tie switch corresponding to each second loop closing point, and the full model simulation system comprises:
determining the score of the second loop closing point in the loop closing environment index based on the real-time operation environment information of the power distribution nodes at the two sides of the tie switch corresponding to each second loop closing point;
Determining the score of the second loop closing point on the loop closing load index based on the load related information of the distribution nodes at the two sides of the tie switch corresponding to the second loop closing point;
And determining a loop closing matching score of the second loop closing point based on the score of the second loop closing point on the loop closing environment index and the score of the second loop closing point on the loop closing load index.
6. The full model simulation system for loop closing control based on real-time data of a power grid according to claim 1 or 2, wherein the loop closing optimization module is further configured to determine an optimal loop closing time corresponding to the optimal loop closing node.
7. The full model simulation system for loop closing control based on real-time data of a power grid according to claim 6, wherein the loop closing optimization module determines an optimal loop closing time corresponding to the optimal loop closing node, and the full model simulation system comprises:
And determining the optimal closing time corresponding to the optimal closing point based on the real-time operation environment information and the load related information of the distribution nodes at the two sides of the interconnection switch corresponding to the optimal closing point.
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