43results about How to "Raise the level of lean" patented technology

The invention discloses a multi-cycle generation scheduling coordinated optimization and closed-loop control method which comprises the following steps that first, a monthly generation schedule is made; second, a day-ahead generation schedule is made; third, an intra-day rolling schedule is made; fourth, AGC determines units which only bear basic power through unit classification, and the units which only bear basic power track the intra-day rolling schedule to achieve closed-loop control; fifth, actual operation data of the units are fed back to the monthly generation schedule, and the monthly generation schedule is corrected in a rolling mode. The multi-cycle generation scheduling coordinated optimization and closed-loop control method for the operation plan field is achieved, overall resource optimized allocation and safety constrained control on a longer time dimension are achieved, and the scheduling target for impartiality and openness plus energy conservation at the same time is achieved.

The invention provides a charging pile fault prediction method and device based on a Markov chain, and the method comprises: obtaining a state vector of a target charging pile in an initial time period, and enabling the state vector to serve as the initial state probability distribution of a preset charging pile Markov chain prediction model; wherein the Markov chain prediction model of the charging pile is used for representing a discrete event random process in which a non-fault state and at least one fault state of the charging pile are mutually converted and different fault states of the charging pile are mutually converted; and according to the initial state probability distribution and the Markov chain prediction model, determining the probability that the target charging pile has atleast one fault in a prediction time period. Automatic fault prediction of the charging pile can be achieved, the prediction process is efficient, the prediction result is accurate, and then timely and targeted maintenance can be conducted on the fault of the charging pile.

The invention discloses an accurate load control method taking economical efficiency and multi-time scale safety and stability into account, and belongs to the technical field of electric power systems and automation thereof. In order to solve the safety and stability problem of different time scales of a system in the fault development process, load shedding measure cost and electric safety accident liability cost are calculated, transient generalized economic loss, quasi-steady-state generalized economic loss and steady-state generalized economic loss indexes are built, and millisecond, second and minute coordinating accurate load control is realized. Electric power system scheduling operating staff can grasp safety operation rules of the system with complicated faults on different time scales, and adaptability of an existing load control method of three defense lines is improved, so that safety and stability control effectiveness and lean level of a large power grid are improved.

The invention discloses a construction method and an air conditioner control method for a multi-load joint control strategy, and belongs to the technical field of multi-load joint control strategies. According to an existing control strategy, flexible loads cannot be effectively scheduled and accurately controlled. According to the construction method for a multi-scene multi-load joint control strategy provided by the invention, multi-load response potentials are evaluated, and a reasonable power utilization plan is made according to load characteristics and market response characteristics represented by an evaluation result; a multi-micro-load aggregation model in multiple scenes is further established, and multi-load active response and coordinated optimization are achieved; and the multi-micro-load aggregation model in multiple scenes is used as a part of a combined optimization model of multi-micro-load regional operation scheduling, and multi-scene multi-load joint control is realized. Therefore, hierarchical flexible optimization operation and efficient scheduling of user-side multi-micro-loads are realized, and the dynamic balance capability of a power grid is improved.

The invention provides a work plan making method of engineering construction. The method comprises the following steps: S1: obtaining the name, the integral design data and the total construction period T of engineering; S2: according to the engineering management standardization manual of an industry, dividing the engineering into a plurality of subordinate construction periods according to a sequential order; S3: according to the working type and the workload of each subordinate construction period, generating the working time interval [tn, Tn] of each subordinate construction period, wherein tn is the minimum time limit of each subordinate construction period, Tn is the maximum time limit of each subordinate construction period, and n is the time sequencing of the subordinate construction period in the whole total construction period; and S4: according to a certain ratio, compressing the maximum time limit Tn of each subordinate construction period until the sum of the maximum time limits after all subordinate construction periods are compressed is equal to the preset total construction period T. By use of the method, the standardization management manual of the project department of a power grid enterprise owner is taken as a basis, a reasonable construction period is automatically generated by means including construction period key points, compression functions and the like, and a workload is effectively reduced.

The invention relates to a method for automatically identifying and docking a fixed value setting system and a relay protection information system, aiming at automatically identifying and analyzing a fixed value file which is transmitted by the fixed value setting system, completing automatic docking with the relay protection information system, and eliminating wrong setting caused by manual operation and increasing the efficiency of fixed value input. The method realizes automatic docking between the fixed value setting system and the relay protection information system, based on the fixed value having a certain format and a naming method having a certain format, generates the only setting serial number for the fixed value files in the fixed value setting system and the relay protection information system, realizes matching between the fixed value setting system and the relay protection information system by matching the serial numbers, and based on the reason of the failure, generates a result file and return the result file to the fixed value setting system in situations when the two systems fail to conduct automatic docking. The method is easy and simple, greatly increases data exchange efficiency between the relay protection information system and the fixed value setting system, and reduces wrong setting caused by manual operation.

The invention relates to a method and system for predicting a target time sequence in the whole construction process of a power grid capital construction project, and is characterized in that the method comprises the following steps: 1) constructing a construction real object quantity prediction time sequence of each power grid capital construction project in the power grid project; 2) constructing a cost entry prediction time sequence of each power grid capital construction project in the power grid project; 3) constructing an investment completion prediction time sequence of each power gridcapital construction project in the power grid project; and 4) according to the constructed construction real object quantity prediction time sequence, cost entry prediction time sequence and investment completion prediction time sequence, obtaiing monthly construction real object quantity, cost entry and investment target prediction values of each power grid capital construction project in the power grid project. The method and system can be widely applied to the field of power grid capital construction.

The invention discloses a computer-aided planning method based on a three-layer planning model of a power distribution network transition scheme, which adopts Matlab software as an operation platform,and comprises the following specific steps: 1, carrying out planning premise work, deeply investigating the site, the current situation and planning station and location, collecting data and collecting information; determining the boundary of the three-layer planning model of the power distribution network transition scheme for modeling and planning requirements; 2, creating and calculating an upper-layer planning model; 3, creating and calculating a middle-level planning model; 4, creating and calculating a lower-layer planning model; 5, integrating a transition net rack scheme; and establishing a transition net rack planning scheme in the planning stage. According to the method, a scientific, efficient, reasonable and ordered planning process can be provided for transition net rack planning, and safe, reliable, economical and reasonable transition from a power distribution network rack with increasingly large scale and increasingly complex elements to a target net rack is promoted.

Provided is a dynamic drawing presentation system based on interactive simulation operation. An electrical drawing is dynamically drawn using a simulation programming technology, and is displayed in ascene supporting interactive simulation operation. The system is used for demonstrating the action principle of an electrical drawing. A user can operate a simulated electrical component through thetouch screen or mouth click and change the state of the component. Meanwhile, the user can trigger preset fault information through the touch screen or mouth click and change the state of the relevantsimulated component. The other electrical components in the system will automatically judge the states thereof and make corresponding changes according to the changes, and thus, dynamic change of thewhole drawing is realized. The system is further equipped with functions such as fast search for related components, search for the action conditions of components, interactive analysis of typical failure cases, and on-site scene display, and is a set of electrical drawing principle dynamic demonstration system with high independence and strong interaction.

The invention relates to the technical field of intelligent substations, in particular to an on-line checking method for a transformer substation equipment monitoring information table. The transformer substation equipment monitoring information table online checking method comprises four parts of version checking, checking record management, real-time checking and normativity and integrity checking. According to the transformer substation equipment monitoring information table on-line checking method, on-line editing, checking and releasing of the monitoring information table can be achieved,on-line editing, checking, approving, releasing and browsing of a new transformer substation monitoring information table are conducted, and flow on-line circulation is achieved; Version management of the monitoring information table can be realized, and the version number of the transformer substation equipment monitoring information table is managed; Check record management can be realized, interaction with real-time data in a regulation and control integrated system is realized, and name and time query and matching are performed on real-time alarm information, SOE records and the like; Real-time checking of the monitoring information table can be achieved, and original plant station or interval information is obtained and compared with a new monitoring information table for checking.

The invention provides a vehicle speed control system for an intelligent driving vehicle. The system comprises a vehicle information and a state response module, a background server, a control decision module and a control and execution module, wherein the vehicle information and state response module and the control and execution module are arranged on a vehicle, and are used for acquiring the current driving state and road surface response information of the intelligent driving vehicle, the position information and the parameter information of the vehicle, and carrying out information interaction with the background server on the acquired information; after the background server receives the information, the background server performs data query and vehicle type matching operation on a database in the control decision module through the control decision module; and after the matching data is obtained, a corresponding initial deceleration target vehicle speed is given and sent to thecontrol and execution module, and the control and execution module controls an accelerator pedal and a brake pedal of the intelligent driving vehicle, so that the vehicle passes through the current road at the target vehicle speed.

The invention provides a power grid investment allocation processing method and apparatus. The method comprises the steps of obtaining correlation degrees between power grid construction indexes and characterization indexes; according to the correlation degrees between the power grid construction indexes and the characterization indexes, and the weights of the characterization indexes, calculatingthe importance degrees of the power grid construction indexes; according to target values and current values of the power grid construction indexes, calculating the influence degrees of the power grid construction indexes; and according to the importance degrees of the power grid construction indexes and the influence degrees of the power grid construction indexes, determining an investment allocation ratio of the power grid construction indexes. According to the power grid investment allocation processing method and apparatus provided by the invention, a power grid investment allocation scheme can be determined according to the correlation degrees between the power grid construction indexes and the characterization indexes; and the lean level of power distribution network construction and the accuracy of power grid investment are effectively improved.

The invention discloses an equipment state big data computing method based on a Goldstein-BP algorithm. The method comprises the steps that S101, historical data and current data of grid equipment state evaluation indexes and grid equipment historical state evaluation results are acquired; S102, a corresponding BP neural network model is constructed according to equipment state index historical data characteristics; S103, a mean square error function is constructed according to the historical data of the grid equipment state evaluation indexes and the grid equipment historical state evaluationresults; S104, a Goldstein method is adopted to obtain a minimum mean square error, a learning rate in the BP algorithm is solved, and BP neural network parameters are computed through the BP algorithm; S105, the BP neural network parameters are substituted to obtain a BP neural network model; and S106, current equipment state evaluation index data is used as input of the BP neural network modelto obtain an output result. Through the technical scheme, the Goldstein method is adopted to solve the optimal learning rate of the mean square error function in the BP algorithm, and therefore the precision level of grid equipment management is raised.

The invention relates to a photovoltaic access power distribution network adaptability evaluation method based on a quantitative grading index system. The method comprises the following steps: step 1, collecting background information and historical data of various photovoltaic power supply power distribution networks accessed and involved in a target network frame of a to-be-evaluated power distribution network for analysis; step 2, extracting key indexes in four aspects of reliability, load rate, short-circuit current and electric energy quality, and constructing an adaptability evaluation system; step 3, performing adaptability evaluation on a distribution network system in a to-be-evaluated planning region by adopting an index score weighting method; step 4, carrying out layering and partitioning; step 5, carrying out regional power grid evaluation; step 6, calculating an adaptability score value of a regional power grid, and obtaining an adaptability evaluation result of the regional power grid according to the adaptability score; and step 7, judging whether photovoltaic access adaptability is possessed or not, and taking corresponding measures. The invention provides an effective tool for assisting planning personnel to reasonably consider installation scale of regional photovoltaics and development planning of a matched power grid.

The invention provides a multi-factory balanced benefitting method for joint storage materials, which is used for performing multi-factory balanced benefiting on joint storage materials of separate storage units in various regions, optimizing the production material inventory of a power system, reducing outsourcing of the materials, realizing internal regulation and effectively optimizing the material inventory. The invention further provides a joint storage material multi-factory balanced bank utilization system.

The invention discloses a source network load storage simulation platform, method and system. The platform comprises: a test verification control module for controlling a test verification process; apower grid long-process analog simulation module for carrying out analog simulation on a power grid operation state; a comprehensive energy service provider used for collecting and concluding adjustment characteristic parameters of various resources managed by the comprehensive energy service provider and uploading the adjustment characteristic parameters to a load control main station; a load control main station used for aggregating multi-resource information and uploading the aggregated multi-resource information to a source network load storage collaborative real-time power control simulation module; the source network load storage collaborative real-time power control simulation module used for generating an adjustment strategy of each resource and issuing the adjustment strategy to the load control main station; and a source network load storage day-ahead planning simulation module used for generating planning data of the source network load storage collaborative real-time powercontrol simulation module. According to the invention, full-process and omnibearing source network load storage control simulation can be realized, and the reasonability of a day-ahead plan of the source network load storage and the safety of a source network load storage collaborative real-time power control strategy are ensured.

The invention discloses a power distribution network investment demand determination method and device based on combined prediction, equipment and a storage medium. The method comprises the following steps: carding factors influencing the investment demand of a power distribution network based on a fishbone diagram method; based on a grey relational analysis model, screening factors to obtain key factors influencing the investment demand of the distribution network; obtaining medium and low voltage distribution network investment scale and key factor historical data; establishing a distribution network investment demand prediction model by using a support vector machine method, a linear regression method and a grey prediction method; and inputting the key factors, the medium and low voltage distribution network investment scale and the historical data of the key factors into the distribution network investment demand prediction model to obtain a prediction result. Through the above mode, the method can achieve the precise prediction of the investment demands of the medium and low voltage distribution network, and provides a decision basis for a power grid enterprise to improve the lean level of the investment of the distribution network.

The invention discloses an equipment lightweight display system of an electric power system BIM model. The equipment lightweight display system comprises a three-dimensional construction module, a three-dimensional model import module, a calling module, a display module, an interaction module and a central processing module. According to the invention, establishment, import and display of the BIM equipment model in the power system can be realized, and interaction can be performed through the interaction module after display. The evaluation work management efficiency is greatly improved, deep analysis and comprehensive application of three-dimensional design result data are facilitated, the service requirements of three-dimensional design result evaluation of all levels of electric power companies of the state grid are met, and the application value of engineering data is effectively mined. According to the method, advanced technologies such as three-dimensional modeling and digital design are utilized, the problems and defects existing in three-dimensional review of the power transmission and transformation project are scientifically and effectively solved, the production efficiency is improved, the project cost and cost are saved, the informatization design review management capacity is improved, and the normalization, standardization and lean level of design review management is improved.

The invention discloses a comparison experiment management method for a live-line detection instrument, belongs to the technical field of live-line detection, and achieves the functions of arrival acceptance, periodic inspection, instrument submission registration, submission instrument receiving, instrument distribution, experiment information recording and the like of the live-line detection instrument through employing a real object ID code and a mobile interconnection technology. Comparison experiment management of instruments and meters based on real object IDs is achieved. By taking thephysical ID as a link, information communication in the whole experiment management process of instruments and apparatus equipment is realized, the equipment management efficiency is improved, and thelean level of equipment management is improved.

The invention discloses a system for managing acceptance and transferring to fixed asset of a newly commissioned transformation device and a working method thereof. The system includes a scanning device which scans electronic materials of the newly commissioned electronic device to be accepted and converts the scanned electronic materials into pictures and stores the pictures to an electronic material storing platform. The electronic material storing platform stores the data and transmits the data to a production management information system through network transmission. The production management information system receives data which are obtained by online monitoring by primary equipment within a substation, and transmits the data to a cloud server. According to the invention, the system is based on a PMS2.0 system which is the production management information system, establishes an informatization platform, saves manpower and material resources, realizes processing analysis and sharing of electronic data, and increases acceptance efficiency of the newly commissioned transformation device.

The invention discloses a system including an operation process control subsystem, a scene management subsystem, a video management subsystem and a tool management subsystem. The subsystems are connected through signals. The system is based on scene pictures and videos, adopts a software technology to compile relevant control and interact with plugins by identifying key steps and links in the operation process, makes students perform simulating operations on corresponding steps through a touch screen, automatically judges operation correctness, judges whether a next link is executed or not till the operations are completed, and finally achieves analogue simulation operations of the whole operation process. The system makes training safe, quick and effective.

The invention discloses a material quality detection intelligent management and control system based on a ubiquitous electric power Internet of Things technology, relates to the technical field of milling machine auxiliary tools, and solves the technical problems that, in the prior art, existing material quality detection management and control mainly depend on manual data acquisition, time consumption is long, and accuracy and fairness cannot be guaranteed. The material quality detection intelligent management and control system based on the ubiquitous electric power Internet of Things technology comprises: a material module, an intermediate unit, a mobile terminal, the ubiquitous electric power Internet of Things, an industrial personal computer, and a data memory, a production field alarm, a network communication module A, and a network communication module B which are in uniform signal connection with the industrial personal computer. Through a task driving mechanism, goods arrival, to-be-detected, detection, detection completion and return are covered, standardized process closed-loop management of material quality detection is realized, risks are reduced to an acceptable level, and habitual violation is avoided, so that the safety management level of material quality supervision work is greatly improved, and the pertinence, effectiveness, and reliability of the detection work are ensured.