67 results about "Power system topology" patented technology

Information for configuring control apparatus for a power system including a plurality of controlled power supplies is produced using a graphical interface which displays the topology and sequencing of the power supplies in the power system. A database is used to select power supplies to add in determining the power system topology. Sequencing is represented by displacing icons representing the power supplies along lines representing their input and output voltages, and arrows representing startup sequence dependencies. A processor produces the configuration information, consistent with the displayed topology and sequencing, using information for the selected power supplies from the database, for downloading to the control apparatus.

The invention discloses a method of completing the distributed tide analysis by exchanging the border node state and the network damage information, which comprises: establishing a distributed tide analyzing system according to the actual scheduling management manner of the electric power system; based on the topology connection relations of the electric power system and the operation situations of the practical system, dividing the interconnected electric network by the dividing method with border area, and clarifying the counting objects and the data sources of the counting server and the coordinating counting server; a domain tide counting server and the superior coordinating counting server are initialized by counting data and parameters, while the coordinating counting server calls the domain tide counting server to together complete the network integrative tide decomposition coordinating solve; besides, the servers call the processes, the domain tide counting server feeds back the result to the coordinating counting server so as to make the coordinating counting server obtain the convergent network integrative tide result.

The invention relates to a key node recognition method for a regional power grid, and the basic flow of the method comprises the steps: inputting a power system topological structure and electrical characteristic parameters; calculating the values of evaluation indexes of a node; obtaining a node importance evaluation decision making matrix according to the values of the evaluation indexes; generating a node importance evaluation decision making matrix of a standard regional power grid; giving consideration to a Gini coefficient and a Kendall correlation coefficient, and solving the objective weights of the indexes through a CRITIC method; and solving an evaluation result of the node importance through a TOPSIS method. According to the technical scheme of the invention, the method gives full consideration to the physical features of the network topological structure and the operation state parameters of the power grid. The method can achieve the better recognition of the key node of the power grid, avoids the subjectivity of manual determination of the weights, and enables an evaluation result to be more suitable for the actual operation conditions of the power grid.

The invention discloses a data sharing type area protection system based on IEC 61850, which is based on a high-speed data communication network, a plurality of lines which are closely interrelated are considered to be used as one area, intelligent protection devices inside the area are mutually connected through optical fibers, GPS synchronous data are adopted, and the information is shared, therefore, the novel protection system is established. The protection system utilizes a plurality of points to share synchronous information, is capable of accurately judging a position of fault when the protection system is broken down, has the absolute selectivity of protection action during normal communication and can select a protection unit needed to be used as reserve protection action according to a topological structure and a fault wire position of a protected electric system when main protection is rejected or a circuit breaker does not work. Compared with the traditional reserve protection action, the intelligent reserve protection action of the area has short time and good selectivity and also greatly simplifies adjusting and matching work.

This invention relates to a method for realizing protection of quick turn-off of adaptive current of supply circuit and distribution line including: electrified preparation of digital relay protection device, presenting initial value to KkI, Z and 1 to measure the values of IK, Uk, I2 and II, judging if the value of I2 is greater than that of K times of I1 (0<K<1), if so, then Kd=3 / 2, if not, the protector operates, otherwise, values of Kd, Zs, E, Kj and Kb are computed again and the value of Iset.I is determined, which computes and corrects the setting of current quick turn-off protection online to suit the topological structure of the power system, operation way and variance of fault kind.

The invention discloses a protection system for area data sharing, which is based on a high-speed data communication network, a plurality of lines which are closely interrelated are considered to be used as one area, protection devices inside the area are mutually connected through optical fibers, and the information is shared, therefore, the novel protection system is established. The protection system utilizes a plurality of points to share synchronous information, is capable of accurately judging a position of fault when the protection system is broken down, has the absolute selectivity of protection action during normal communication and can select a protection unit needed to be used as reserve protection action according to a topological structure and a fault wire position of a protected electric system when main protection is rejected or a circuit breaker does not work. Compared with the traditional reserve protection action, the intelligent reserve protection action of the area has short time and good selectivity and also greatly simplifies adjusting and matching work.

The invention discloses a power grid equipment state abnormity monitoring method and system based on big data, and the method comprises the steps: data collection: enabling the data related to the operation state of power grid equipment to be accessed to a data processing center, and enabling the data to serve as a basis for subsequent processing and analysis; data preprocessing: preprocessing theoperation state data of the power grid equipment through data cleaning, data classification, data fusion and data normalization; and equipment state abnormity analysis: constructing a high-dimensional random matrix, drawing and observing a state related curve graph and an annular graph, and judging the equipment state abnormity. The method and system can timely discover the abnormity of the operation state of the power grid equipment, assist state monitoring and abnormity identification of the power grid equipment, and guarantee the safe and stable operation of the power grid. Structured datacleaning and analysis are carried out by adopting a partial mathematical modeling mode based on a high-dimensional random matrix, the topological structure and parameter information of the power system do not need to be known during analysis, the professional threshold of data analysis and mining is reduced, and meanwhile the abnormal recognition efficiency is improved.

The invention relates to a BFS-based searching method for distribution network loops and belongs to the technical field of power system topology structure designing. The method comprises the steps that firstly, a distribution network model is established, the level number of a feeder root node is initialized to be one, the level numbers of other nodes are initialized to be -1, and link sets are initialized to be empty sets; starting from the root node, BFS is performed, the set memberships between the level numbers of the nodes and upper and lower level nodes are sequentially set, and in the process of searching for the (i+1)th level nodes through the ith level nodes, if the level numbers of the searched nodes are not -1 or i-1, line segments between the nodes, namely the current searched nodes, are added into the link sets; unless the link sets are empty, the number of the line segments in the link sets is the number of the distribution network loops, traversal is performed on the line segments in the link sets, upward searching is performed from the nodes at the two ends of each line segment, searching is stopped until father nodes of the corresponding two nodes are the same node or the root node, and experienced paths are the loops. According to the method, the loops in the power distribution network can be analyzed quickly and accurately.

A method of quickly analyzing the topology of a large grid based on Graphx comprises the following steps: building a power data analysis platform based on Spark; acquiring a grid model of a smart grid scheduling control system; hierarchically partitioning the grid model according to regions, power plants and transformer substations, and mapping the grid model to a Graphx database in the form of object; acquiring the switch / breaker status of the smart grid scheduling control system; and making a distributed topology analysis of a power network to form a power network topology relationship, and visualizing the power network topology relationship. According to the invention, a standard and high-availability power system topology analysis cloud platform is built, the data processing ability and topology analysis ability are improved, and the demand of advanced application of a smart grid for grid topology analysis is satisfied.

The present application relates to a power system power flow calculation method and system and an electronic device . The method comprises the following steps: a, analyzing the topology state of the power network in parallel based on the big data technology Spark to obtain the topology information of the power system; B, constructing a power topology diagram accord to the power system topology information, and carrying out parallel iteration on the power topology diagram based on the big data technology Spark to generate an electric island of the power topology diagram; c, calculating the balanced node power and the line power of the power system according to the electric island of the power topology diagram to obtain a power flow calculation result. The application supports the integratedanalysis of a power system in which a plurality of regions are interconnected, reduces the management problem and communication overhead caused by the centralized management of topology information,and has the characteristics of expandability, convenience for maintenance, and the like, and can effectively improve the utilization rate and computational efficiency of data, and realize the real-time online power flow calculation of large-scale complex power system.

The invention belongs to the technical field of topology analysis in an electric system and discloses a power grid topology error identification system and method based on a road-loop equation. The system comprises a data acquisition module, a branch current calculating module, a topology error identification module, a bad data identification module and a result outputting module, wherein the data acquisition module, the branch current calculating module, the topology error identification module, the bad data identification module and the result outputting module are sequentially connected, and the topology error identification module and the bad data identification module are both connected with the branch current calculating module. The method comprises the steps of acquiring data, solving the branch current calculation value, identifying power grid topology errors and updating data when power grid topology errors exist, identifying bad data and correcting relevant bad data when bad data exist, and outputting power grid topology data and the branch current measurement value at last. The power grid topology error identification system and method based on the road-loop equation are not affected by the two factors of topology errors and bad data and are high in identification accuracy and reliability.

The invention provides an online diagnosing and positioning method for submarine cable fault of submarine observation network, comprising the steps that (1) a topological structure of a power system of the submarine observation network is obtained; (2) voltage and current value at a coast base station and a submarine main base station can be obtained by utilizing a sensor; (3) real-time monitoringis carried out on the voltage and the current value obtained by the sensor, and whether a fault occurs or not is determined; (4) state estimation and solving are conducted on the voltage and the current value at the branch unit; (5) the topological structure after the power system breaks down is analyzed; (6) fault positioning is realized. According to the invention, diagnosis and real-time online positioning of different types of faults of the submarine cables of the submarine observation network can be realized.

The invention relates to the technical field of power grid analysis, in particular to an electrical power system topological island fast identification system and method based on Spark, and the methodand system are applicable to topological analysis of large-scale power grid systems. By means of a large-scale parallel graph computing module GraphX under the Spark framework, a power grid topological graph is constructed; analysis treatment is carried out on the topological graph through parallel computing based on a memory to obtain topological islands in the power grid system; the GraphX parallel graph computing framework can achieve parallel computing analysis of the large-scale topological graph; as for the complex large-scale power grid system, by adopting the Graphx, the topological islands in the power grid can be fast identified and calculated.

The invention discloses a probabilistic load flow calculation method for an electric power system. The method comprises the following steps that: firstly, obtaining source load data and correspondingelectric power system topological structure data as load flow samples, and utilizing an SDAE (Stacked Denoising Autoencoder) load flow model to calculate the above load flow sample to carry out calculation to obtain a corresponding load flow result so as to carry out statistical analysis to obtain a probabilistic load flow calculation result. Since the SDAE load flow model is obtained in a way that SDAE model training is carried out in advance according to the target source load data and the corresponding electric power system topological structure data, the SDAE model can effectively extracthigh-dimensional nonlinear characteristics in the load flow sample by virtue of a deep stacking structure and a coding and decoding process so as to obtain a corresponding load flow result, and therefore, the calculation accuracy, speed and cost of the probabilistic load flow result can be comprehensively improved. The invention also provides a probabilistic load flow calculation system for the electric power system, and also can realize the above technical effects.

The invention relates to a power system safety determination method, comprising: determining the type of each element included a power system and topological structure of the power system, and sorting reliability historical data; determining a minimum path set of the topological structure of the power system; determining a minimum cut set of the topological structure of the power system; determining, through the minimum cut set, a power system reliability index in connection with the reliability historical data; in connection with element reliability historical data, using calculated unavailability of elements with lowest reliability in the power system as a determination threshold, and comparing the power system reliability index with the determination threshold to determine whether power system safety is satisfactory or not; the technical scheme provided herein makes considerations for the influence of faults of various elements upon system safety, such as breakers, disconnectors, busbars, and circuitry, and the method is suitable for discovering weak links of a power system to improve safety and provide beneficial support for power grid planning decision.

The present invention provides an intelligent digital dual-power switching system which comprises a control power supply unit, a sampling unit, a control unit, and a host machine. The control power supply unit of the system is formed by a two-in-and-one-out flyback switching power supply, the structures of two paths of switching power supply topologies are the same, and two paths of power supplies are parallelly outputted to supply power to the control unit. Four voltage transformers are employed by the sampling unit, and a collection voltage signal is connected to the control unit. The control unit comprises a microcontroller module, a motor control module, an Ethernet communication module, and an indicating module. The host machine is provided with power quality analysis software and transmits an analysis result to the microcontroller module through the Ethernet communication module, and the operation of a motor is controlled through the microcontroller module. According to the intelligent digital dual-power switching system, the power grid drop can be rapidly and accurately detected, the reliability of the power supply switching is improved, and the safe and stable operation of a power distribution network is ensured.

The invention relates to a real-time power system topology calculation method based on graphic calculation and belongs to the technical field of power system operation and scheduling. The method comprises the following steps: combining the latest proposed graphic calculation technology in an internet domain, fully considering a calculation characteristic that the node serves as a center, transforming topology analysis into a minimum propagation process, and by virtue of the design of a data structure stored in the nodes and an information transfer manner between the nodes, enabling calculationof each node to only depend on information of the own node, an adjacent node and edge. According to the method, a transformation mechanism of the nodes between an active state and a dormant state isdesigned, and redundant calculation is reduced to the greatest degree. According to the method disclosed by the invention, the node calculation parallelizability and calculation efficiency are improved, and the memory usage problem caused in the original algorithm due to function recursion and retrospect is solved. The method can be used for online analytical application of an energy management system and has significances on real-time optimal scheduling of the power system and online analysis of the safety and reliability of the power system.

The invention discloses a power attack test system based on attack topology, and belongs to the technical field of power network security. According to the method, a complete power attack sample database is constructed for a topological structure of a power system, corresponding attack samples are provided for all links in the power system, including a construction method of the power attack database; moreover, a user interaction interface is constructed, an attack channel module is established to implement targeted attacks, and the power system security is improved; and finally, the attack and defense sample expansion module and the defense platform are linked to autonomously expand the sample. According to the invention, a standardized place for storage, testing and drilling is established for information security of the power industry and the industrial control system.

The invention discloses a power flow checking method based on graph convolution network acceleration, and the method comprises the steps: firstly collecting topological data and network parameters ofa power system, generating a large number of operation states of the power system, judging whether the generated operation states of the power system are out of limit or not through a conventional power flow calculation method, and taking whether the operation states of the power system are out of limit or not as a label; obtaining a power flow check data set of the power system; dividing the dataset into a training data set and a test data set; then establishing a graph convolution network model, and training to obtain the graph convolution network model used for accelerating power flow check; and finally, predicting the actual power system operation state data to obtain a power flow out-of-limit judgment result. According to the method, the graph convolution network model is establishedand trained to obtain the classification model capable of judging power flow out-of-limit, so that the calculation speed and efficiency of large-scale power grid power flow check can be improved.

The invention relates to a power system robust state estimation method based on t-distribution, which relates to the technical field of power system analysis. The method comprises steps: reading the specific parameters of the power system to form a node admittance matrix and a node-branch model; according to the topological structure of power system, the equivalent calculation circuit being established, and the synchronous phasor measurement device being installed at the corresponding node according to the observable prerequisite of the system; based on t-distribution and Gaussian distribution, the historical data being fitted with t-distribution and Gaussian distribution; reading a new measurement value expressed by a vector z (k); based on the basic theory of maximum likelihood estimation, a robust state estimation algorithm under t-distribution being constructed; the estimation of robust state of power system based on t-distribution being obtained by judging the convergence condition. The method has the advantages of strong anti-jamming ability, good robustness, and high estimation accuracy.

A topology structure of a power system is acquired. At least one unification set in the power system is identified based on the topology structure. Devices belonging to the same unification set have the same outage state. The at least one unification set is recorded, so as to concurrently maintain devices belonging to the same unification set. Advantageously, one or more embodiments reduce number of outages caused by power system device maintenance.

The invention discloses a power system simulation fault generation method, which comprises the steps of reading a power flow data file of a power system, and obtaining a basic topological structure ofthe power system according to the power flow data file; identifying a fault topology node of the power system according to the power flow data file and the basic topology structure of the power system, and acquiring topology information of the fault topology node; according to the topology information of the fault topology node, identifying a fault setting element of the power system and the topology information of the fault setting element, wherein the fault setting element comprises a line, a three-winding transformer, a power plant and a direct current system; and according to the topological information of the fault setting element, setting a fault type and generating a required simulation fault. The topological structure of the power system can be accurately analyzed, a fault demandsuitable for power system simulation can be quickly and completely generated, and safe and stable operation of a power grid is ensured. The invention further discloses a power system simulation faultgeneration device.

The invention relates to a power supply path tracking method suitable for a large-scale complex power distribution network, and belongs to the technical field of power system topology design. The method comprises the following steps: building a power distribution model; acquiring a parent-child relation between a loop and a node in the power distribution network through breadth-first search; acquiring one of power supply paths according to the parent-child relation; and complementing other power supply paths according to the loop in the power distribution network to obtain a complete power supply path of target equipment. Through adoption of the power supply path tracking method, the defect of path missing during analysis of the power supply path of a looped power distribution network in the prior art can be overcome; and the method has very high robustness and a very high computing speed, and the requirement of real-time analysis can be met.

The invention relates to a load flow calculation solvability judging method of node type extension, which belongs to the technical field of electric power system dispatching and power grid simulation. The invention provides the load flow calculation solvability judging method of the node type extension, can easily judge the load flow calculation solvability of the node type extension. The criterion comprises that according to the given condition of the known quantity of each node, the method searches whether an effective communication channel exists between the redundant node of the known quantity and the insufficient node of the known quantity, if the communication channel satisfying the condition exists, the load flow calculation of the node type extension is solvable, otherwise the load flow calculation of the node type extension is unsolvable. The method of the invention has the advantages of having good universality and being adaptable to various node type distributions in load flow calculation of an electric power system; and the method of the invention is only based on the topological structure and the node type distribution condition of the electric power system, and requires no preparing calculation.

The invention discloses a power system network attack detection method based on space-time relevance, which comprises the following steps: S1, extracting measurement data in an electric power system, and forming a space-time matrix by the measurement data; S2, constructing a time correlation function based on volume Kalman filtering according to the historical measurement data, and predicting the state of the power system at a position and a next moment; S3, constructing a Gaussian process regression model to obtain a spatial correlation function of associated nodes in the topological structure of the power system; and S4, performing feature extraction on the time correlation function and the space correlation function by adopting a neural network. The detection method provided by the invention is independent of system parameters, has general applicability, can carry out real-time detection, has relatively high detection speed, is different from a detection method based on a model, and does not need to set a threshold value, so that the problems of missing detection and false detection caused by improper threshold value setting are avoided.

The invention relates to the technical field of new energy power systems, and discloses a method for dynamically displaying a topological graph of a power system based on a Javascript language, and the method comprises the steps: firstly collecting the related data of a power station, and generating corresponding storage data through data analysis and processing. According to the method for dynamically displaying the topological graph of the power system based on the Javascript language, data are analyzed and processed to generate storage data, the storage data are issued to a data visualization program, the data visualization program generates available data through algorithm calculation, and finally a topological graph view is generated. The system has the advantages that the development efficiency of the topological graph function of the new energy power informatization system is improved, the expandability of the system function is improved, the operation and maintenance cost is reduced, the topological graph function is achieved through the system, a power system network topological graph structure can be dynamically generated according to the power station and equipment information configured by the system database, and meanwhile, related optimization functions such as real-time data display, dynamic adjustment of a topological graph structure and zooming in and out are supported.

The invention provides a power system robust state estimation method based on an exponential function, and the method comprises the steps: firstly calculating a node admittance matrix according to a topological structure and a branch impedance parameter of a power system; according to a sensor layout strategy, installing PMUs at corresponding nodes of a power system, and forming a measurement matrix H; reading a node measurement value z (k) at the current moment, wherein the node measurement value comprises a node voltage phasor and a branch current phasor, and k represents the sampling moment; constructing a power system robust state estimation algorithm based on the exponential function, and judging convergence conditions to obtain estimation of the power system robust state based on the exponential function; according to the method provided by the invention, on the basis of the objective function of the exponential function, the weight value obtained by solving the partial derivative can be automatically adjusted according to the size of the measured residual error, so that the influence of bad data, non-Gaussian noise and the like can be inhibited, the robustness of the algorithm and the state estimation precision are improved, the anti-interference capability is strong, and the robustness is good.