441 results about "Power-system automation" patented technology

The invention belongs to the field of power automation and relates to a monitoring system software technology for power system automation based on IEC61850. In a monitoring system of a transformer substation monitoring system adopting the IEC61850 standard, because the SCD (System Configuration Document) and the CID (Case Instance Document) model document in the device are required to be frequently modified, the condition that the SCD is inconsistent with a CID model document actually running in an IED (Intelligent Electronic Device) occurs sometimes during the implementation of the system integration or the extension transformation. The invention provides the method for detecting the consistency of the SCD and the IED model on line. After the electricity initialization is carried out on the IED, the check process is automatically executed by a background monitoring system, or all IEDs can be analyzed from the SCD and checked one by one, thereby the consistency check of all SCDs and models of all IEDs in the whole substation can be realized. By using the method for detecting on line, the problem that the SCDs are inconsistent with the IED models in the whole substation can be solved and the consistency of monitoring system information can be ensured.

The invention relates to a management method in the technical field of the automation of a power system, in particular to a multi-version management method for a model set and difference model-based power grid model. The method comprises the following steps of: 1) expressing a difference model; 2) storing the model; 3) loading the model; 4) browsing the model; 5) merging the model; 6) checking the model; 7) transforming the model; and 8) carrying out the on-line distributing and putting of the model. The method divides a space-dimensional model and an application-dimensional model into corresponding versions through the type of a model space and a model tree, and takes the model set as a base wire to realize the multi-version management of the model time dimension by overlapping the modes which become effective at different times.

The invention relates to a system and an achieving method of the system in the technical field of power system automation, in particular to a transformer substation alarming graph gateway minimizing system and an achieving method of the system. The minimizing system utilizes an embedded industrial personal computer as a hardware platform and a RedHat Linux 64 bit operation system as a software platform, and acquires data sources of the whole substation through data of an IEC61850 MMS protocol collection device, a shared memory real-time base and a file memory with a Harsh algorithm as the index serve as data storage media, a message bus runs through the applications for data interaction between different threads, alarming direct transmission service and picture refreshing service for alarming direct transmission and remote browsing are arranged on the base to provide a standard data source for the alarming forwarding and the remote browsed data forwarding. The system and the method solve the transmission and processing problems of a main station and caused by the fact that the access data of the transformer substation increase severely, and a new data interaction mode of the alarming direct transmission and the remote browsing is provided.

This present provides a control and protection equipment system suitable for synthesis converter operation test, relates to power system automation equipment field. This system includes human-machine interface element, synchronization element, signal acquisition element, data aggregation element, conditioning element, protecting element, wave form recording element, wave form monitor element, on-off input element, on-off output element, vale based element (VBE), high direct current supply power system controller, high voltage supply system controller, current surge circuit controller, impulse circuit controller, test converter valve water cooling controller and test equipment water cooling system controller. This system can control converter samples and auxiliary valves on set trigging timing, produce various operation tests need heat, voltage and current of the converter samples and carry through operation tests. This system can also monitor on-off condition and important analog parameters condition of main circuit immediately, when abnormal condition takes place, the suitable protective measures will be made immediately.

The invention belongs to the field of internal communication of automatic transformer substation systems for power systems, and specifically discloses dual-network-redundancy device hardware architecture in a transformer substation and an implementation method. The dual-network-redundancy device hardware architecture and the implementation method are characterized in that an MAC (Media Access Control) Ethernet communication module, a PRP&HSR (Parallel Redundancy Protocol and High-availability Seamless Redundancy) module, a packet filter module, a multipath packet transmission control module and a 1588 clock synchronization module are designed on an FPGA (Field Programmable Gate Array) to synergistically finish receiving and transmission of Ethernet packets, IEC61588 accurate network clock synchronization, dual-network-redundancy processing, network storm suppression and packet classification and transmission functions in an automatic transformer substation system. Through adoption of the dual-network-redundancy device hardware architecture and the implementation method, the operation processing demand on a CPU (Central Processing Unit) is lowered greatly, the protection cost on a measurement and control device of the transformer substation is reduced, and the running reliability of the transformer substation system is improved.

The invention discloses a method for online estimating and pre-warning the grid safety accident risk levels, and belongs to the technical field of power system automation. The method comprises the following steps: on the basis of a grid current operation manner provided by an EMS and a control strategy of a second defensive line and a third defensive line, calculating and simulating the action of a control device of the second and third defensive lines through time-domain simulation in allusion to a preconceived fault set of assessments of the second and third defensive lines, so as to obtain a total fault load reduction quantity, a loss user quantity and a voltage loss station quantity; dividing the grid safety accident risk levels of the preconceived faults according to the requirements of ''Regulations on the Emergency Response to and Investigation and Handling of Electric Power Safety Accidents '' and ''Rules for the Investigation of Electric Power Accidents of China Southern Power Grid Company Limited''; and determining the important levels of the faulted equipment according to the accident risk levels. According to the method, the online estimation and pre-warning of the grid safety accident risk levels are realized, a technological foundation is laid for the real-time pre-warning and pre-control of the grid safety accidents.

The invention discloses a phase modifier stationing method for preventing multi-DC chain commutation failure, and belongs to the technical field of automation of a power system. A region with a relatively high risk that other DCs are simultaneously or sequentially failure in commutation caused by a commutation failure of a certain DC according to a multi-fed interactive factor is judged, the region is used as an installation region of a phase modifier, and the optimal phase modifier installation place is obtained by calculating and sequencing reactive power improvement control estimation indexes of the phase modifier. By the method, the problems that the commutation failure is judged only by voltage drop of a commutation bus and the inconsistency of a result and an actual condition probably caused by a relevant phase modifier configuration index obtained according to the type of the commutation failure cannot be effectively reflected are solved, and the configuration capacity of the phase modifier is reduced to the great extent on the basis of ensuring rapid recovery of the DC with commutation failure.

The invention discloses a simple and practical method for measuring frequency of alternating current voltage with software. The method comprises the following steps: acquiring a voltage value with a sampling time interval, carrying out discrete Fourier transform on the acquired voltage value, calculating a phase real part and a phase imaginary part of voltage, taking a product of the phase real part and the phase imaginary part as an input value of an interpolation fitting method, searching same direction zero crossing of the product of the phase real part and the phase imaginary part, and calculating frequency of the product of the phase real part and the phase imaginary part according to the zero crossing, wherein the frequency is the frequency of the alternating current voltage. According to the method, a filtering function of the discrete Fourier transform is fully utilized, influence of harmonic wave and direct current component on frequency measurement is eliminated, anti-interference capability is strong, a calculated value has high precision and small discrete, measurement precision is high, the method is simple and practical, high precision can be achieved both in stable state and transient state processes of a power system, realization of frequency measurement in a protection apparatus with a DSP as a core CPU is facilitated, and a requirement of the power system automatic field is satisfied.

The invention relates to a fault positioning method for power system automation, and especially relates to an area power network fault positioning method based on an optimal wave velocity. The method, based on a genetic algorithm and a signal spectrum analysis, carries out fault positioning by use of branch line refracted waves correlated with fault lines in a power network. The method comprises the following steps: (1), analyzing a power grid structure and carrying out data pairing; (2), constructing a target function, and generating variable constraining conditions; (3), carrying out the signal spectrum analysis on the branch line refracted waves, and determining frequency components of signals and a frequency correction coefficient scope; (4), solving an optimal solution of the target function by use of the genetic algorithm to obtain the optimal wave velocity; and (5), according to the optimal wave velocity, obtaining a fault point position and outputting a result. The method provided by the invention takes the influences of the frequency and the path of each branch line into full consideration, and compared to a conventional area power network fault positioning algorithm, obviously improves the precision.

The invention discloses a preset automatic feeder test method for a distribution network, relating to the technical field of power system automation and solving technical problems of labor consuming and time consuming. The preset automatic feeder test method comprises the steps as follows: compiling all test cases in sequence into a preset case, storing the preset case in test instruments, starting the test instruments for synchronous test, synchronously switching the test instruments into test state sections in a test process, and synchronously switching the test cases until all the test cases in the preset case are tested; and automatically generating corresponding electric data according to test state section data by the test instruments, outputting current, voltage and various state data through analog output terminals of the test instruments, making and executing a decision by a tested automatic feeder system according to the section data, and automatically responding to decision behavior of the tested system by the test instruments through control input terminals. The preset automatic feeder test method is suitable for automatic feeder test of the distribution network.

The invention discloses a reactive voltage partitioning method and a system for an active power distribution network, and belongs to the technical field of power system automation. The method comprises the following steps of: firstly, selecting a key node from load nodes by using a comprehensive evaluation index, and constructing a key node coordinate space; then, partitioning the load nodes by using a Kohonen neural network automatic partitioning algorithm to calculate the voltage control sensitivity of a power supply node to each load node partition, and completing the partitioning of the whole active power distribution network; and finally, checking each subarea of partitioning results. According to the comprehensive evaluation index of the reactive voltage partitioning method and the system for the active power distribution network, the key node is selected from the load nodes to be more objective and comprehensive, so that the partitioning results obtained by the partitioning algorithm are more accurate, and the Kohonen neural network automatic partitioning algorithm is used for partitioning the active power distribution network; the algorithm has the characteristics of beingeasy to implement, fast in convergence, high in precision and more objective of the partitioning results.

The invention discloses an IEC61850 standard-based microgrid comprehensive coordination control framework, belonging to the technical field of power system automation. The microgrid comprehensive coordination control framework comprises a micro power supply controller, a load controller, a microgrid central controller, a microgrid mode controller and a microgrid energy management system. In the framework, monitoring information having low requirement on real-time property and control information having high requirement on the real-time property in the microgrid are transmitted separately, and thus, the transmission efficiency of a microgrid is improved; a master microgrid and sub-microgrids are controlled coordinately, the load on a central controller of the master microgrid is reduced, and the timeliness of the microgrid coordination control is improved.

The invention discloses an EEAC (extended equal area criterion)-based transient stability critical power transmission section identification method and belongs to the power system and power system automation technical field. According to the method, fault screening is performed on a predicted fault set based on EEAC quantitative evaluation results; candidate section composition branches are screened through using the power fluctuation amplitude of each line in the dynamic process of transient stability simulation; the breaking of the candidate section composition branches is simulated, a node where a dominant complementation group set is located is adopted as a root node, all nodes connected with the root node are traversed, and the subordinate groups of the nodes are marked; nodes in the head nodes and tail nodes of candidate branches, which belong to an S group and an A group respectively, are adopted as starting points and terminal points, all communicated paths connected with the starting points and terminal points are obtained through topological searching; and branches with large power fluctuation amplitude are preferentially selected from candidate branches belonging to the communicated paths so as to form a cut set section. With the method of the invention adopted, requirements for online safety monitoring on a transient stability critical power transmission section under a predicted fault situation are satisfied with the current operating condition of a power grid satisfied.

Embodiments of the present invention include methods and apparatuses for securing data transfer in power-system automation and smart grids. Embodiments of the present invention can be particularly helpful in securing GOOSE messages. A method of securing data transfer according to an embodiment of the present invention can include a message sequence synchronization and monitoring server (MSSMS) providing random seeds to a publisher intelligent electronic device (IED) and a subscriber IED, both having a pseudo random number generators (PRNGs), inputting the random seeds into the PRNG of the publisher IED and generating a publisher sequence hopping number, sending a message to the subscriber IED with the publisher sequence hopping number attached, and determining if the message is valid by comparing the message attached publisher sequence hopping number to a subscriber sequence hopping number generated by the subscriber PRNG.

The invention discloses a multi-energy complementary optimal scheduling method based on demand response, and belongs to the technical field of power system automation. The method comprises the steps:establishing a multi-energy complementary optimal scheduling model based on a demand response scheduling model and setting constraint conditions; performing simulation and solution of the multi-energycomplementary optimal dispatching model by using the particle swarm optimization algorithm; and scheduling the adjustable load in the micro-grid according to the result of the simulation and solution. The aim of peak-cutting and valley-filling and the optimal economic benefit of both sides can be realized and the economic benefit can also be increased.

The invention relates to a multi-objective optimization scheduling method for a multi-supply power system based on an analytic hierarchy process, and belongs to the technical field of power system automation. The method comprises the steps: solving an established multi-objective optimization scheduling model of the multi-supply power system by adopting an NSGA-II multi-objective genetic algorithmto obtain a Pareto optimal solution set; normalizing the obtained target value Pareto optimal solution set by adopting a fuzzy membership function, scoring and sequencing each solution in the solutionset by using an analytic hierarchy process, and selecting an optimal scheduling solution; and obtaining a decision basis for optimal scheduling of the current multi-supply power system based on the optimal scheduling solution. According to the invention, the power system multi-objective optimization scheduling model is established, and the requirements of system economy, renewable energy consumption level, system safety and the like are integrated; the solutions are graded and sorted by adopting an analytic hierarchy process, and an optimal solution is selected. The obtained result gives consideration to subjectivity and objectivity of evaluation, is more reasonable, and facilitates safe, economical and stable operation of a power system and improvement of the new energy consumption level.

The present invention relates to a method for generating a current differential protection supernode based on an electrical topology of a regional distribution network, which belongs to the fields of automation of electrical power systems and relay protection. The present invention generates several supernode differential protection elements, i.e., differential protection objects, and backup differential protection elements by circularly using a depth-first search method according to the inputted branch-node associative data table reflecting the electrical topology of the distribution network. the present invention can accurately located and quickly isolate the faults in the distribution network system, reduce the probability of power cut in the non-fault lines, reduce the coverage of power cut, quickly reconstruct and self-heal the distribution network, and solve the effect of the distributed access system on the distribution network protection.

The invention discloses a multi-region load reduction collaborative decision-making method considering power grid risk levels and belongs to the power system and power system automation technical field. According to the method of the invention, on-line verification is performed according to a power grid load reduction off-line strategy and on the basis of a power grid actual operation mode, the load reduction risk level of each of regions is evaluated for the load reduction quantity of the regions on the basis of the 599 order; and as for regions of which the accident risk levels do not satisfy requirements, the load reduction quantity of the regions is distributed on the basis of comprehensive consideration of factors such as load reduction sensitivity, load importance degree and load adjustment cost, so that the load reduction quantity of the regions of which the accident risk levels do not the satisfy requirements is distributed to regions with high priorities and low safety accident risks, and therefore, power safety accident risk levels can be decreased or avoided. With the method of the invention adopted, the engineering application of a large power grid in safety and stability analysis and risk assessment can be greatly improved.

The invention discloses a multi-target multi-main-body distributed game optimization method for distributed energy sources, and belongs to the technical field of power system automation. Aiming at the multi-target, multi-constraint, nonlinear and multi-main-body game characteristics of a plurality of types of distributed energy sources, the invention provides the multi-target multi-main-body distributed game optimization method. According to the economical, environment-friendly and high-efficiency target demands of the joint optimization of the plurality of types of distributed energy sources, the method builds a multi-energy-system multi-target joint optimization model through combining the output and climbing rate constraints of the plurality of types of distributed energy sources. Based on the distributed coordination optimization theory, the method enables the whole model to be divided into a plurality of subsystem multi-target joint optimization models, employs an improved multi-target optimization algorithm for solving, and obtains a Pareto solution set of each subsystem, thereby finally forming an optimal Pareto solution set for the whole system and providing a reliable decision support for a decision maker.

The invention discloses a user-side flexible load scheduling method based on adaptive dynamic programming, and belongs to the technical field of power system automation. The method, by using a translatable load and the translatable part of a reducible load on the basis of an original load power demand, guides a power load according to a compensation mechanism and a motivation mechanism so as to shave the peak and fill the valley of an original load curve, and supplies power to a user side by using wind reservoir so as to maintain a load balance between a supply side and a consumer side, trains a neural network in the adaptive dynamic programming to approximate a uncertain multi-energy-storage model to obtain the optimal load shifting mode and a multi-energy-storage charge and discharge mode, reduce system operating cost and enhance system stability.

A method for controlling fault self-recovery of a power distribution switching station belongs to the field of automation of electric system and includes a fault isolation step and a power restoration step. A main unit intelligently judges time limit, sequence and feasibility of a reclosure tripping unit according to electricity and switch state information of auxiliary units during fault after collecting fault and protection data from the auxiliary units and superposes the same in the manner of superposition of the auxiliary units or standby master and branch units; the logic algorithm set in the main unit comprises line inlet superposition conditions, line outlet superposition conditions, line inlet reconstructing conditions, automatic standby switching conditions and line outlet superposition conditions, is started according to the protection information and electricity of the auxiliary units acquired by the main unit, and quick power restoration of non-faulty circuits after faults is realized. By the aid of the method for controlling fault self-recovery of the power distribution switching station, running modes of a switching station (a ring main unit) can be controlled automatically, fault isolation and power restoration can be realized, and reliability, safety and economization of power supply are improved.

The invention discloses a micro-grid economic optimization trading method based on cloud energy storage in an electric power market environment, belonging to the technical field of electric power system automation. The method is based on a small amount of distributed energy storage, the energy storage device originally distributed on the user side is centralized to the cloud end to form a centralized cloud energy storage, the objective function of the benefit of selling and purchasing electricity to cloud energy storage and the constraint of charging and discharging of cloud energy storage areincluded by simultaneous microgrid, cloud energy storage sales and purchase pricing constraints, the constraint condition of power purchase in micro-grid determines the joint optimization model of micro-grid system and cloud energy storage, after each micro-grid is regarded as a stakeholder, the amount of electricity sold and the charging and discharging time of each micro-grid are optimized to maximize the economic benefits of the micro-grid. The participation of cloud energy storage reduces the investment cost of energy storage equipment and improves the utilization rate of resources.

The invention relates to a repair command system, in particular to a distribution network wireless audio/video repair command system and belongs to the technical field of electric system automation. According to the technical scheme, the system comprises a mobile terminal worn by a breakdown rescue person, and a monitoring center wirelessly connected with the mobile terminal, wherein the mobile terminal can transmit the acquired video information of a fault site to the monitoring center, and the monitoring center can receive and store the received video information and transmit decision information to the mobile terminal wirelessly. The system is compact in structure, capable of making a command center learn about the condition of the site so as to conduct quick and effective repair, wide in application range, safe and reliable.

The invention relates to a wind storage capacity configuration method based on a genetic algorithm, and belongs to the technical field of automated analysis of an electricity system. The method includes acquiring network parameters and system parameters of the system, and defining algorithm parameters; coding decision variables; randomly generating a population including M initial individuals, and performing feasibility detection on the randomly generated population including the M initial individuals, wherein each individual comprises codes of the decision variables; substituting all individuals in the feasible population and tide solutions into a fitness function, and calculating fitness of each individual; performing heritable variation calculation on the current feasible population to form a next generation of population; judging whether or not a current genetic algebra is identical to a maximum genetic algebra N, and if yes, finishing calculation and taking the value of the decision variable contained in the individual, with the highest fitness, in the last generation of population as a final calculation result. The wind storage capacity configuration method has the advantages that the problem of difficulty in large-scale concentrated grid connection of wind power is solved, a calculation method is simple and application of the actual system is facilitated.

The invention relates to an automatic identification method of information model based on IEC61850 logical nodes, and belongs to the comprehensive field of computer software technology and electric power system automation technology. By establishing a IEC61850 logical node mapping rule matrix, data objects of a data set are mapped to the defined processing scheme, and a public data class rule base is allocated; after a CDC rule base is used to generate an initial system model object, a data object index is used to query a logic node rule matrix, and then the private property of a system model object is set according to the matched processing scheme to complete the automatic identification of the information model. According to the automatic identification method provided by the invention, the manual intervention situation in an intelligent substation database configuration is reduced, and the problems of high configuration workload, low efficiency, and easiness in errors are solved, so that the working efficiency is obviously improved.