50 results about "Power system computation" patented technology

The invention relates to a power station automation system data network security monitoring method. An Snort detecting engine is utilized to realize the monitoring for a power station automation system data network on a traditional electric power system computer network system, an inserted rule of the engine comprises communication rules including CDT, IEC-60870-101 and IEC-61850, and the frame format of the rule is utilized to establish an engine matched condition; the monitoring for network security is realized through the following two modes: a. monitoring the data frame content transmitted on the work, using a rule format transmitted by power station data as a reference, permitting the information satisfying the rule format to continuously circulate, and isolating the information unsatisfying the rule format; b. monitoring the real-time flow of a power station data acquisition network, and if finding abnormal network flows, then indicating that abnormal data is transferred, and giving warning information by a power station automation system data network security monitoring device.

The invention discloses a planning method and system applicable to an ultrahigh-voltage DC external transmission power grid containing high-permeability new energy. The planning method comprises the steps of performing simulation data building by a power system calculation analysis system according to information of a sending-end power grid and information of a plurality of new energy plant stations; performing power current balancing calculation on each division region of the sending-end power grid, and determining an alternative region of a sending-end DC drop point; determining at least onesending-end power grid ultrahigh-voltage DC drop point and a corresponding connection planning scheme; building a typical running mode of the sending-end power grid according to new energy output characteristic; estimating safe stability of a sending-end AC-DC hybrid power grid under a running mode of the sending-end power grid with regard to each connection planning scheme, judging whether (N-1)fault criterion is conformed or not; analyzing and improving the connection planning scheme which does not conform to the (N-1) fault criterion; and performing multi-angle comprehensive estimation oneach connection planning scheme, and determining optimal power grid planning scheme according to an evaluation result.

The invention belongs to the technical field of the calculation and analysis of a power system, and discloses a method for comprehensively evaluating the precision of stability calculation models and parameters based on PMU data. The method comprises the following steps: performing time-domain simulation on an electromechanical transient process and an electromechanical dynamic process for the disturbance of a power grid, and adopting a power system security and stability quantitative analyzing method to calculate transient security and stability margins, modes, dynamic oscillation damping ratio and frequency; (2) adopting PMU actually-measured data on the power angle and frequency of a generator and the voltage and frequency of a busbar after the disturbance of the power grid to take place of time-domain simulation results of corresponding physical quantities, and then adopting the power system security and stability quantitative analyzing method to calculate the transient security and stability margins, the modes, the dynamic oscillation damping ratio and the frequency; and (3) comprehensively evaluating the precision of transient and dynamic security and stability calculation models and the parameters by comparing differences between the two transient and dynamic security and stability margins and the modes. Through the method, reliability evaluation on the transient and dynamic security and stability simulation calculation results of the power system is realized.

The invention belongs to the power system calculating and analysis technology field, and is applicable to calculate limit powers of associated electricity transmission cross-sections considering static, transient and dynamic security and stability constraints. The limit power calculating method of associated electricity transmission cross-section based on parallel calculating model comprises the steps of firstly calculating a static security limit, and then calculating security and stability limits of the transient and dynamic, on the basis of estimating the power increasing amount of each cross-sections considering over loading security of equipment; classifying the power increasing space of each cross-sections in turn according to the examined failure number and the example calculating capability of a parallel processing platform, and carrying out security and stability calculations for the run modes of different electricity transmission power combinations of each cross-sections by parallel example; judging whether to carry out security and stability calculations of the next round according to the precision requirement of limit calculation after all examples of the round being calculated, and filtering the examined failure set before each round of calculation; and finally, calculating mutual influence factors between limit powers of each cross-sections by analyzing the limitcalculation process information.

There is provided an information processing device including an acquisition unit that acquires power supply request information that includes information on a supply period during which an electric power system is requesting supply of electric power, and reservation information for a vehicle, a calculation unit that, on the basis of the reservation information, calculates supply power to be supplied to the electric power system from the vehicle during the supply period, and a notification unit that notifies the electric power system of the calculated supply power.

The invention provides a robust state estimation method based on a piecewise linearity weight factor function and belongs to the technical field of power system computation. The method includes the steps of step 1, establishing a robust state estimation model based on the weight factor function, step 2, selecting and measuring a weight factor function equation and determining and measuring equivalent weight factors, and step 3, solving the variable weight factor robust state estimation model, and obtaining and outputting estimation results. Aiming at section difference of traditional weight least square estimation on bad data identification, the robust state estimation method based on the piecewise linearity weight factor function is proposed, a weight least square estimation method and the robust estimation principle are combined, therefore, computation efficiency and quickness of the weight least square estimation are reserved, and also the state estimation algorithm has high robust performance.

The invention belongs to the technical field of power system computation and analysis and is applied to generating a typical fault set for transient stability analysis of a power system. The method comprises the following steps of: firstly, for the same power grid operation mode, performing the transient stability evaluation on different faults respectively by adopting a transient stability quantitative evaluation method to obtain a stability mode of each fault; secondly, calculating a transient stability association degree index between different faults according to a constitutive relation between the participation factor of the same generators in the transient stability critical generator set of every two faults and the participation factor of all the generators in the critical generator set; and finally, screening all the faults according to the transient stability association degree index between the faults. Therefore, the typical fault set for the transient stability analysis of the power system is obtained.

The invention relates to an identifying method of distribution parameter of a transmission line. The method comprises the following steps: calculating a positive-sequence component and a zero-sequence component for a transmission line with external faults by collecting electric signal momentary values at the head and tail ends; and calculating positive-sequence distribution parameters: a resistor R1, an inducer L1 and a capacitor C1; then, calculating zero-sequence distribution parameters: a resistor R0, an inducer L0 and a capacitor C0. According to the invention, the line distribution parameters can be solved just by collecting voltage and current synchronous momentary values at both ends without the necessity to master parameters on both sides and operational states of other parts. The identifying precision of the method is not affected by fault condition, and the method has the advantages of simpleness and convenience in operation, and accurate calculation, and provides accurate line parameters for the power grid so as to ensure the reliability of calculation results of subsequent power system calculation such as state estimation, load flow calculation, fault location, and protection relay setting.

The application belongs to the computer calculation field of an electrical power system, and discloses a power grid black-start assistant decision-making system. The black-start assistant decision-making system includes three parts of a pattern platform, a database, and an algorithm analysis library. The pattern platform is formed by a picture browser of a smart power grid dispatching technical support system and a self-developed window. The database stores each element parameter in the electrical power system and analysis results, which is convenient for user modification and checkup. The algorithm analysis library includes a numerical analysis algorithm and an optimization algorithm used in a black-start process. The algorithm analysis library is a technology core of the whole system. The black-start assistant decision-making system based on the DTS is characterized in that the system adopts a modular hierarchical structure including a data layer, an application layer, an application support layer, an interface layer and a user layer. According to the invention, the black-start assistance decision-making system and the DTS based on a D5000 smart power grid dispatching technical support system are integrated together, share a real-time power grid database, a data communication platform, and power grid pictures.

The invention relates to a simulation method of a main servomotor of a speed governor of a hydraulic turbine, and solves the technical problems that in the existing electric system calculation, the adopted simulation method of the main servomotor of the speed governor of the hydraulic turbine has poor veracity and big error when frequency fluctuation is large. The method includes an amplifying step, a servomotor speed amplitude limiting step and an integration amplitude limiting step, wherein, the amplifying step is that the amplification of an input signal is carried out and a relative speed of a follow-up system is obtained, the servomotor speed amplitude limiting step is that speed limiting to the main servomotor is carried out, and the integration amplitude limiting step is that the relative speed of the main servomotor is integrated and a relative displacement value of the main servomotor is obtained, and then the limiting to the displacement of the main servomotor is carried out according to the relative displacement value. The method can theoretically explain the operation process of every step of the main servomotor and every step and parameters have clear physical meanings; every parameter can be determined by practical measurement or parameter identification; the method has the advantages of being capable of simulating primary frequency modulation, the increase and decrease of load and large fluctuation modulation with higher precision degree.

The invention relates to an online model parameter collection method based on a process cross-region power grid running method. According to the method, uniform coordinated management of a running state model and a planning state model is achieved, the running method process maintenance function is achieved, the calculation model cross-region maintenance mechanism is achieved so that data can be maintained in a classified mode and the network can be shared by provinces and cities at all levers, and the interaction function of an online calculation model and a traditional offline calculation model is achieved. The method has the advantages that calculation data are centralized, unified, accurate, reasonable, safe and standard, calculation data are maintained in a classified mode, a strict model parameter management procedure is achieved so that work can be efficient and data can be shared, the requirement for offline analysis and the requirement for online application are simultaneously met, the problems that current devices used for power grid offline power system calculation and analysis and online application platforms are dispersed and disorder in parameter management, uncertain in data source and poor in data uniqueness and reliability are solved, and unified management is achieved for offline data and online calculation data.

The invention discloses a power system transient stability simulation method based on network node numbering optimization. A sparse vector technology is widely applied to power system calculation. However, existing network node numbering methods applied to sparse vectors aim to achieve the purpose that the average forward and backward substitution calculation amount of all nodes is the smallest, and the characteristic that forward and backward substitution only needs to be conducted on active nodes during transient stability simulation is not taken into consideration. According to the power system transient stability simulation method, the characteristic that the sparse structure of an independent vector of a network algebraic equation and the sparser structure of a solution vector are identical and decided during transient stability simulation is fully considered, the network nodes are divided into active nodes and passive nodes, the out-degrees of the nodes, the number of active precursor nodes and the number of the precursor nodes are fully considered, the network nodes are numbered, under the condition that the number of newly increased elements of a factor table is small, the average path length of the active nodes is made the smallest, and no requirement for the path tree lengths of the passive nodes exists. By the adoption of the power system transient stability simulation method, the calculation amount of solving a differential algebra equation set during transient stability simulation of a power system can be remarkably reduced.

The invention discloses a quantitative evaluation method for stability of a power grid. The method includes steps of acquiring measurement data related to power grid safety and stability through calculation and analysis of a power system; performing modeling on the random dynamic power system; based on the measurement data, analyzing the stability of the power grid by utilizing a critical slowing-down theory. The method is quick in calculation. A large amount of time domain simulation numerical integration is not needed in semi-analytical method; the semi-analytical method is very suitable fora condition with small diffusion matrix strength in a random process.

The invention discloses a dynamic capacity-increasing and effect-raising method for sharing local grid multi-system fused big data. Collection and transmission of transformer information are realized through communication established with a scheduling integrated management system D5000 and a production management system PMS; weather information needed for electric transmission and transformation equipment load prediction is acquired through pushing for an electric power weather information system; real-time and dynamic information supporting is provided for optimization of operation mode in combination with load prediction information of a local grid load dynamic management system by adopting a system heat stability threshold and a tide distribution value provided by electric power system computation system PSASP, and the implantation for a multi-system communication cut-through fusion and big data information interaction sharing technology provides effective technical management means for realizing electric transmission and transformation equipment dynamic capacity increase, fully developing equipment hot redundancy and promoting system integration load capacity for local grid dynamic load intelligent dispatching management.

The invention discloses a gas-electricity combined network steady-state load flow calculation method based on a full-pure embedding method. The method comprises the following steps of inputting parameters and operation data of a power system and a natural gas system, using a full-pure function for representing unknown variables in a gas-electricity combined network power flow equation, constructing a gas-electricity combined network power flow equation containing a full-pure function and complex variables, calculating each unknown polynomial coefficient in the full-pure function, analyzing and continuating the full-pure function representing the unknown variable to obtain a numerical solution of the unknown variable, and substituting each unknown variable numerical solution into the power flow equation, checking whether the power flow constraint of the power system is met or not, if the constraint is met, outputting a gas-electricity combined network power flow solution, if the constraint is not met, increasing the series of the original full-pure function, and repeating the process until the constraint is met. According to the method, what is guaranteed is that calculation of the electric power system in the gas-electricity combined network has better convergence, the obtained solution must be a high-voltage solution, and the multi-solution problem of a common method is avoided.

The invention relates to a load data monitoring method, a power system, computer equipment and a storage medium, and is suitable for the power system. The method comprises the steps that drawing equipment receives a connection corresponding relation table sent by a power supply network; the drawing equipment receives power utilization load data, sent by the power supply network, of all the electricity meters; the drawing equipment determines wire inlet cabinets connected with the transformers in the power supply network, wire outlet cabinets connected with the wire inlet cabinets and electricity meters connected with the wire outlet cabinets based on the connection corresponding relation table; the drawing equipment draws a low-voltage distribution network load thermodynamic diagram based on the wire inlet cabinets connected with transformers in the power supply network, the wire outlet cabinets connected with the incoming line cabinets, the electricity meters connected with the wire outlet cabinets and electrical load data of the the electricity meters; and the drawing equipment monitors whether abnormal conditions exist in the transformers, the wire inlet cabinets, the wire outlet cabinets and the electricity meters or not based on the load thermodynamic diagram of the low-voltage distribution network. By adopting the method, the equipment monitoring efficiency in the low-voltage power distribution network can be improved.

The invention discloses an electric power system computing virtualization method based on a cloud platform architecture system, which comprises the following steps: transferring virtual resources to the edge of an electric power information network under the condition of meeting power grid constraint and environmental requirements, and providing the virtual resources on the edge layer of a cloud platform by utilizing a system architecture integrating raindrop computing, wherein The system architecture comprises a cloud layer, a fog layer, a raindrop server, an edge data storage unit and a sensor/actuator unit. The cloud layer, the fog layer and the sensor/actuator unit work cooperatively; The raindrop server interacts with the fog layer and the cloud layer to meet the received request; Andthe edge data processing unit is an intelligent virtual resource. According to the invention, the intelligent virtual resources are integrated on the edge layer, the Internet of Things service and the data view can be directly provided from the edge device, and the permission-based block chain protocol is integrated, so that the security and reliability of the edge network are realized. The method constructs a distributed virtual system, has the advantages of cloud computing, fog computing and raindrop computing, and can directly provide services at the edge level.

The invention belongs to a checking system for a cooperative relationship between a power plant excitation system and a protection fixed value of a generation-transformer group. The checking system is implemented as follows: an internal parameter list of an automatic adjusting device of an excitation system is collected and a generation-transformer group protection setting calculation sheet and a protection fixed value list are collected; a function computational formula corresponding to a checked content is inputted into an Excel table cell to form a longitudinal column; a right mouse button is clicked in a generated photo, an item of data selection is selected, an item of adding is selected in a window, and naming, X-axis series value selection, and a Y-axis series value selection are carried out; and photo curve generation is carried out. According to the checking system provided by the invention, tedious artificial calculation of an exponential function formula is taken over by Excel office software for calculation, so that data points more than those of the artificial calculation by several times can be compared, the data accuracy can be guaranteed, the compared data can be increased by multiple times, and the data become comprehensive.

The invention discloses a sparse technology based on an improved adjacency matrix. Aiming at that an adjacency matrix of a storage network topological structure has the characteristic of high sparsity, pattern of manifestation of the adjacency matrix is improved, and the improved adjacency matrix is applied to node optimal numbering, in-advance determination of retrieving information and formation of an admittance matrix. In a LU decomposition process, in order to realize nonzero retrieval of line direction, storage information of the line direction is increased, and corresponding retrieval modes are customized. According to correlation property of newly added branches and factoring nonzero injection elements in the optimal numbering process, while executing optimal numbering, positions of the newly added elements are recorded and a storage framework is formed. The sparse technology based on the improved adjacency matrix is suitable for being used in calculation process of an electric power system, and can effectively increase efficiency of related calculation through improving the retrieval modes and the storage framework.