49results about How to "Improve asset utilization" patented technology

The invention provides a grid security risk assessment method and model based on situation awareness. Decision-making objectives of dispatchers serve as cores, situation awareness technology is applied to grid security risk assessment, active prospective grid situation awareness abilities and blackout security defense abilities of the dispatchers are greatly improved, the asset utilization rate of grids can be increased, and strong, economical, secure and superior objectives of the smart grids are achieved. The method includes the steps: firstly, perceiving grid situations; secondly, understanding the grid situations; thirdly, forecasting the grid situations.

The invention discloses an intelligent asset management method. The intelligent asset management method utilizes an intelligent asset management system which provides various kinds of data service interface customization for third party integration, the intelligent asset management system services as an open platform, can realize efficient butt joint with other platforms, can be integrated by higher-level management systems, and can realize data interconnection and intercommunication with a power grid comprehensive automation system according to a specified specifications. The intelligent asset management method mainly comprises warehouse asset management, on-shelf asset management, office asset management and asset maintenance information management. The warehouse asset management comprises the steps of: a, warehousing; b, tag manufacturing; and c, delivering from a warehouse. The on-shelf asset management comprises the steps of: a, asset addition; b, position change; c, and asset removal. The office asset management comprises the steps of: a, office asset reception; and b, office asset inventory. The asset maintenance information management comprises systematic management of various kinds of maintenance contracts, including various assets covered by the maintenance contracts, manufacturers corresponding to maintenance equipment, contact information and the like.

The invention discloses a thermal power generation system and method with fused salt energy storage, power supply and heat supply functions. By arranging a bypass steam pipeline, a high-pressure condenser and a molten salt heater, excess steam heat energy generated by the load change of a power grid can be stored though molten salt. When the peak load of the power grid is reached, a molten salt energy storage power generation subsystem can participate in peak regulation of power supply of the power grid. In this way, the problems of peak regulation of the power grid, low utilization rate of power equipment and the like are solved, it is guaranteed that the power generation efficiency of the power generation system is equal to that of an existing thermal power generating unit, and the thermal power generation system and method have the outstanding advantages that energy storage and variable-load power supply are achieved, and high-efficiency power generation is guaranteed.

The present invention provides an asset operation and maintenance spot inspection method applicable to a number of assets and warehouse spare parts of a large company based on an asset operation and maintenance spot inspection system with the combination of RFID and the two-dimensional technology. Through a comprehensive asset management function, the processes of equipment entry, inventory and delivery, and asset adding, allocation, idle, discard, maintenance and the like are subjected to information management, the asset information integrated control is achieved, thus an accurate reference data is provided for enterprise investment decisions and asset reasonable allocation, the investment marginal benefit is effectively increased, the asset utilization is raised, and the unnecessary equipment investment and idle waste are reduced.

The invention relates to a power distribution network optimization method adapting to power distribution network high capacity load transfer, comprising steps of analyzing a load fluctuation curve of a regional power distribution network and a complementary load characteristic curve of the regional power distribution network and an adjacent power distribution network of, obtaining the two characteristics of the power distribution network high capacity load transfer which are that the load fluctuation of the regional power distribution network is relatively big and the complementarity of the adjuacent regional power distribution network is strong, determining the characteristics satisfied by the characteristics of the power distribution network load, if two above characteristics are both satisfied, adopting a spatial transfer optimization method to optimize, if only the characteristic that the load fluctuation of the regional power distribution is big is satisfied, adopting the time transfer optimization to optimize. The power distribution network optimization method adapting to power distribution network high capacity load transfer groups the power distribution network high capacity load transfer into two categories, enables the distribution of the load to be more balance, improves the power distribution network planning and the operation level, has the directive significance, and improves the capability of the power distribution network to deal with the high capacity load transfer.

The present invention discloses a muiti-stage active distribution network self-healing planning method based on bi-level planning. The method comprises the following steps: carrying out investigation and analysis on a planned region, and determining a planning target and a decision variable; listing objective functions according to the planning target and the decision variable, wherein, an external planning objective function is a net present value, and an internal planning objective function comprises a DG reduction amount and an active load reduction amount; listing an external planning bound term and an internal planning bound term; generating an active distribution network self-healing planning model according to the internal planning objective function, the external planning objective function and the related constraint terms; and optimizing the active distribution network self-healing planning model and then carrying out calculation to obtain an optimal decision. According to the muiti-stage active distribution network self-healing planning method based on bi-level planning, which is disclosed by the present invention, long-term investment cost and short-term operating economy of an active distribution network are fully considered, thereby improving asset utilization rates of an energy storage system and a line in a grid to the greatest extent.

The invention discloses an IT asset management method based on a block chain. The invention solves the problem of decentralized accounting and unified server storage by building an economic system centered on competition-bookkeeping-reward. The IT asset management system builds a forward circulation economic system by means of a block chain, so that the IT asset management system naturally grows and develops and expands under the condition that no powerful centralization mechanism or organization promotion exists. The method is applicable to owned management organizations; Hardware, software and information assets which can play a value for organizing services are also suitable for management of the whole process including but not limited to IT asset demand proposing, type selection, fundbudget and preparation, purchasing, contract, registration and entry, installation, use, asset accident management, problem management, maintenance, upgrade, change, migration, transfer, spare part management, scrapping and the like.

The invention relates to a big consumer power supply access decision-making method considering load characteristic. The big consumer power supply access decision-making method comprises the steps of defining installation reporting parameters of a big consumer according to electrical equipment information provided in installation reporting of the big consumer; forming an excavating load sample dataon the basis of normalization by virtue of the access big consumer historical power utilization data; clustering the load sample data into an L cluster through a fuzzy C mean value clustering algorithm, wherein the clustering center is the big consumer load characteristic library, and determining the type of the sample data according to the maximum membership principle; defining the load characteristic index according to the installation reporting parameters provided by the big consumer, and processing the load sample data according to the load characteristic index to form a training data set; based on the training data set, excavating a load pattern recognition rule of the big consumer through a classification and regression tree (CART) algorithm; and inputting a load recognition resultinto a big consumer power supply access combination and optimization model, and obtaining a power supply access optimization strategy through optimizing.

The invention discloses a method for calculating power cable emergency loading time. The method for calculating power cable emergency loading time comprises the following steps: a) an AC resistor R, an ambient temperature theta o, a current value I, a conductor temperature value theta c (t), and a conductor temperature initial value theta c (0 +) are calculated when a cable line has a failure; b), a temperature value of the cable conductor after an emergency loading time t=6 tau is calculated; c) a calculating formula of the emergency loading time t is obtained through an expression of the emergency loading time. The method of calculating power cable emergency loading time is advantageous in providing time basis for first-aid repair tasks under the condition of cable line emergencies.

The present invention relates to the field of the distributed data centre technology, especially to a distributed cloud data central structure The distributed cloud data central structure is characterized in that: a business A and a business B are deployed at the same time in a dual-data center, and a two-layer network interconnection is connected between date centers; a server load balancer realizes cross-center cluster through a two-layer expansion network to allow all the server nodes of the dual-data centers to become the cluster; and the load balancer requests the flow load to balance to all the server of the dual-data center. The distributed cloud data centre provided by the invention is realized based on the storage virtualization technology, and the cross-data center realizes uniform logic storage mapping through deploying the storage distribution active-active technology so as to support the business realization of the support distribution active-active data center.

The invention discloses a power supply area dividing method based on improved gray clustering, including the following steps: S1, establishing an evaluation index system; S2, collecting and preprocessing secondary index data; S3, determining the number of gray classes and the center point thereof; S4, calculating the whitening weight function of each gray class; S5, calculating the integrated weight vector v of the secondary indexes; S6, calculating the clustering coefficient of each secondary index about each gray class; and S7, getting the division result of a power supply area. By improving the most important parts, namely, the index weight calculation method and the whitening weight function design, in gray clustering, the power supply area division result is more accurate. Through reasonable division of the power supply area, optimal construction guidance schemes can be presented for distribution networks after division, in order to improve the utilization rate of assets and promote the overall quality of the power grid.

A system for oilfield equipment asset utilization improvement includes a number of units of oilfield equipment, the units of oilfield equipment having a common equipment type. The system further includes a controller having an equipment confidence module that interprets a condition value corresponding to each of the units of oilfield equipment, a job requirement module that interprets a performance requirement for an oilfield procedure, and an equipment planning module that selects a set of units from the number of units of oilfield equipment in response to the performance requirement for the oilfield procedure and the condition value corresponding to each of the units of oilfield equipment. The equipment planning module selects the set of units such that a procedure success confidence value exceeds a completion assurance threshold.

The invention discloses a method of evaluating insulation reliability of an LXPE cable terminal in a distribution network, helping a power grid company evaluate insulation reliability of a cable terminal when maintaining a cable. The evaluation method comprises steps of performing frequency domain dielectric response test on a cable terminal, fitting a function relationship between test frequencyand medium loss, calculating insulation evaluation parameters, so as to evaluate insulation state and service performance of the cable. The method has the beneficial effects of evaluating insulation reliability of a power cable terminal used in an urban distribution network efficiently, accurately, safely and conveniently so as to prevent insulation breakdown due to serious insulation of the cableterminal to guarantee reliable running of the cable, and determining insulation state and service performance of the cable terminal, so as to provide basis for workers on the site to further exploreinner insulation state of the cable terminal, and being significant in guaranteeing reliable running of the system and improving use ratio of equipment assets.

The invention relates to a smart grid energy-saving optimized comprehensive evaluation method. According to the smart grid energy-saving optimized comprehensive evaluation method, two-layer iteration is adopted to solve load flow problems; according to inner-layer iteration, a forward and backward substitution method is adopted to calculate pure radial network load flows composed of branches; and the outer-layer iteration constantly revises injection current at nodes at two ends of each branch so as to realize overall convergence. The smart grid energy-saving optimized comprehensive evaluation method of the invention is advantageous in energy saving effect.

The invention discloses an XLPE cable insulation state evaluation method based on discharge energy difference. The method comprises the following steps: performing partial discharge test on an XLPE cable, calculating the total discharge energy difference of positive and negative half cycles under each level of voltage, calculating the standardization coefficient of the total discharge energy difference of positive and negative half cycles under each level of voltage, calculating an insulation state evaluation parameter, and evaluating the insulation state of the cable by using the evaluation parameter. The method has the advantages that the insulation state of the XLPE cable can be evaluated efficiently, accurately, safely and conveniently, and insulation breakdown caused by serious degradation of cable insulation is avoided; the insulation state of the cable can be judged, a basis is provided for a maintainer to further explore the service performance of the cable, and the method hasgreat significance in guaranteeing reliable operation of the cable and improving the equipment asset utilization rate.

The invention discloses a detection monitoring system of a power transmission and transformation device of a power distribution network. The detection monitoring system comprises a centralized controlSCADA system, a relay protection and fault information management system and a power transmission circuit fault range finding system. Information interaction is performed between a safety monitoringsystem and an asset management system of the power transmission and transformation device. According to the invention, perception of panoramic states of a 500kV power grid is achieved; an operator iscapable of ensuring smooth carrying out of services of operation, maintenance and repairing of the 500kV power transmission and transformation device according to required remote metering and remote signaling information and relay protection and fault recording information. A monitoring center automation system which takes a public information platform as a core comprises subsystems of the centralized control SCADA system, the relay protection and fault information management system and the power transmission circuit fault range finding system, and is capable of interacting with a provincial dispatching EMS system, thereby achieving rapid initialization of automation of the centralized control center. The detection monitoring system interacts with the asset management system and an operation management system, and supports optimized asset management and analysis application.

The invention provides a peak regulation heat supply system with a heat storage function and a control method. The peak regulation heat supply system comprises an electric heating furnace (1), an energy storage system (2), a heat supply system (3), a first regulating valve (5) and a second regulating valve (6). A heat-transfer medium outlet of the electric heating furnace (1) is connected to the energy storage system (2) and the heat supply system (3) by the first regulating valve (5) and the second regulating valve (6) via pipelines. According to the peak regulation heat supply system, through structural design, valley electricity can be fully used in the application of the peak regulation heat supply system with the heat storage function, peak shaving and valley filling are conducted on a power grid, thus the resource utilization ratio of electrical equipment is increased, operation of the power grid is stabilized, energy storage cost is reduced greatly, and accordingly large-scale valley electricity utilization is made to be possible.

The invention discloses a calculation method for power cable emergency load carrying capacity. The calculation method includes the following steps that 1, alternating-current resistor R, environment temperature t0, conductor temperature T1, insulating layer temperature Tn-3, buffering strip temperature Tn-2, aluminum sheath temperature Tn-1 and outer sheath temperature Tn when a circuit fails in a power cable are calculated, the alternating-current resistor R is calculated through an alternating-current resistor formula, the environment temperature t0 is obtained through online monitoring, the conductor temperature T1, the insulating layer temperature Tn-3, the buffering strip temperature Tn-2, the aluminum sheath temperature Tn-1 and the outer sheath temperature Tn are obtained through calculation according to a cable transient state thermal circuit model, and the data is recorded; 2, thermal resistance Rn and thermal capacity from the outer surface of the cable outer sheath to the soil temperature stable point are calculated through an iteration method according to the recorded data. The power grid dispatching under emergency loads of power grid dispatching personnel is provided, it can be avoided that the cable is damaged by loads exceeding the power grid dispatching, and unnecessary rush-repairing power outage can be avoided, which is beneficial for increasing the use ratio of the cable line.

The invention discloses a method for realizing power grid IT asset data management by adopting a block chain technology, and solves the problems of decentralized accounting and unified server storage.Omnibearing testing and real-time feedback are performed on different scenes of the electric power IT assets through a stable and reliable block chain technology so that the objectives of maximization of value, the highest asset utilization rate, the lowest operation cost and safe operation of the system can be achieved.

The invention provides an oil and gas asset benefit evaluation method. The oil and gas asset benefit evaluation method comprises the steps of 1, determining an oil and gas asset net value of an oil field block; 2, calculating the value of the remaining economic recoverable reserves of the oil field block; 3, calculating the oil and gas asset value-preserving and value-increasing rate of the oil field block; 4, determining evaluation standards of oil and gas asset benefits of the oil field block; and 5, evaluating oil and gas asset benefits of the oil field block. The oil and gas asset benefitevaluation method can comprehensively, dynamically, visually and accurately reflect the benefit condition of the oil and gas assets, can provide a basis for improving the matching performance of the ground oil and gas assets and the underground reserve assets, and provides important guidance for activating the oil field assets, improving the asset utilization rate and improving the asset benefit.

The invention discloses a load optimization method based on a load demand coefficient and time-segment peak shifting and peak clipping, and the method comprises the steps: S1, considering the time sequence of a power load of a user, and calculating the load demand coefficient of an existing user in a transformer area; S2, performing load mode identification on the new users according to the installation parameters of the new users, and calling a decision-making tree to classify the new users through load characteristic indexes provided by the new installation users to obtain an approximate load curve of the new installation users; S3, after a large number of new users are accessed, calculating a load demand coefficient of the transformer area users; S4, carrying out load optimization management through time period peak shifting; and S5, on the basis of time period peak shifting, performing peak clipping operation on a user by means of an energy storage system, and the load optimizationmanagement target being that the demand coefficient is equal to 0.95.

Embodiments of the specification disclose a loan request processing method and device, an electronic device and a storage medium. The loan request processing method comprises the following steps: obtaining loan request information; analyzing the loan request information to obtain personal information of a lender; reviewing the personal information of the lender to check authenticity; obtaining face-to-face sign information of a financial institution and the lender and historical behavior information of the lender if the personal information of the lender is true and accords with conditions; generating loan granting information corresponding to the loan request information on the basis of the face-to-face sign information and the historical behavior information of the lender.

The invention discloses an island microgrid system. According to the technical scheme, the island microgrid system is characterized in that the island microgrid system comprises a data storage module,a data processing module, an operation prediction module and a decision and control module, wherein the data storage module is used to detect and store the state of charge and charge-discharge depthof the battery pack; the data processing module is used for converting the state of charge of the battery pack and the feedback charge-discharge depth state into economic cost and evaluating the economic cost; and the operation prediction module is used for converting a multi-objective problem into a single objective for optimization solution and optimizing by taking the economic cost, the tie line load rate and the tie line power variance as optimization objectives; and the decision and control module is used for adjusting the flow power of the power tie line, improving the load rate of the tie line and reducing the power variance of the tie line under the condition of avoiding frequent charging and discharging of stored energy, so that the utilization rate of the tie line is improved. The asset utilization rate and the energy storage life of the tie line can be optimized. And an extreme condition under single-target optimization is avoided.

The invention relates to a processing method for optimizing connecting information of new consumers of a power distribution network. The processing method for the optimizing connecting information of the new consumers of the power distribution network comprises the following steps of (1) carrying out industry classification on the new power consumers , meanwhile, carrying out analysis on the connected power distribution network, (2) carrying out matching on the new consumers and the power distribution network according to a different consumer combination optimization algorithm, and (3) obtaining the optimizing connecting information of the new consumers. Compared with the prior art, the processing method for the optimizing connecting information of the new consumers of the power distribution network has the advantages of improving operating efficiency of power generation and supply devices, reducing operating cost of a power system, reducing consumption of resources, being beneficial to environmental protection and the like.

The invention discloses an integrated demand response method considering interaction of an industrial park and a factory. The method comprises the steps of firstly, constructing an integrated energy system model of the factory, and constructing an integrated demand response (IDR) model considering automatic optimization of the factory by taking minimum power utilization cost of a user as a target under the condition of considering power utilization satisfaction of the user and load fluctuation of a system so that automatic optimization dispatching of the factory is achieved and is used as a basis participating in interaction; and secondly, performing dispatching of the industrial park and information interaction among factory control systems, further mining and utilizing controllable capability of distributed resources such as sources, storage and loads of each factory in the park at a level of the whole park region, building the IDR model for interaction of the industrial park and the factory according to a gate power of the park region being within a limit and minimum energy utilization cost of the user, and responding upper-level power grid demand.

The invention provides a configuration scheme optimization method and system for a power distribution network. The method comprises the following steps: establishing a power distribution network costbenefit model; establishing a power distribution network reliability benefit model; obtaining a configuration scheme set of the power distribution network based on the configuration schemes of the grid structure, power distribution automation and hot-line work; performing reliability analysis on the configuration scheme set of the power distribution network by using a sequential Monte Carlo and fault consequence analysis method based on the reliability benefit model of the power distribution network to obtain a reliability index; calculating the whole life cycle cost of a configuration schemeset of the power distribution network based on the power distribution network cost benefit model; and according to the reliability index and the full life cycle cost of the configuration scheme set, determining a power distribution network configuration scheme which satisfies the reliability index and has the minimum full life cycle cost. According to the invention, the scheme with the lowest fulllife cycle cost meeting the reliability index can be obtained, the asset utilization rate is improved, the enterprise production cost is reduced, and the power distribution network operation has highfeasibility.

The invention discloses a monitoring video intelligent management and control method based on image recognition, and belongs to the technical field of video image recognition. According to the monitoring video intelligent management and control method based on image recognition, target detection is carried out based on deep convolutional neural network features, feature object recognition processing is carried out on a real-time monitoring video, feature data are recognized for different service scenes, early warning information is triggered, an early warning work order is distributed, and a safety guarantee person processes the early warning work order. According to the monitoring video intelligent management and control method based on image recognition, the occurrence rate of safety accidents can be reduced, the abnormal condition discrimination efficiency of monitoring videos is improved, the workload of security personnel is reduced, the enterprise cost is further saved, and greatpopularization and application values are achieved.

The invention discloses a method and a system for user-side adjustable resources to participate in peak regulation auxiliary service. The method comprises the following steps: acquiring configuration information, power consumption information and cost information of all adjustable resources of a single user; calculating the adjustment cost of each adjustable resource by using a predetermined calculation model; determining a load prediction value of each adjustable resource on a prediction day based on a clustering algorithm and user-side historical electrical load data; and quantity price declaration is carried out by taking user benefit maximization as a target. The method has the advantages that the grouping load prediction of the adjustable resources is carried out by combining the historical electricity load data of the user side and the clustering algorithm, the operation cost of the adjustable resources is analyzed based on the adjustable resource configuration, the electricity information and the cost information, and the load prediction of the adjustable resources is realized in a declaration mode based on the load prediction result of the adjustable resources and the cost analysis result. The method assists the user side adjustable resources in participating in the peak regulation auxiliary service, can relieve the peak-valley difference, reduces the transaction risk, and improves the utilization rate of power grid assets.

The invention discloses a method for evaluating the aging state of an XLPE cable insulation water tree based on a current offset coefficient. Responds to current excursion coefficients, calculates insulation condition evaluation parameters, and evaluates cable insulation conditions. The beneficial effects of the invention are: online detection and evaluation of the aging degree of insulating water tree branches in the damped cable can be carried out conveniently, efficiently and safely, so as to avoid the insulation breakdown caused by the serious deterioration of the insulation of the damped cable, and reduce the loss caused by the cable fault; It provides a basis for the operation and maintenance personnel to evaluate the service performance of the cable in time, which can effectively ensure the reliability of the cable line operation and improve the utilization rate of equipment assets, which has high economic and social significance.

The invention provides a method, system, readable medium and equipment for determining the insulation state of a supporting capacitor, obtains the partial discharge test results of the measured supporting capacitor, and obtains the discharge amount-phase spectrum at different levels of voltage; According to the discharge amount at each level of voltage - the kurtosis coefficient of the phase spectrum, the insulation state evaluation parameter is calculated, and the parameter value is compared with the preset The thresholds of different working conditions are compared, and the working condition of the insulation state of the measured support capacitor is determined according to the comparison result; the invention can realize the determination of the insulation state of the support capacitor, in order to judge whether the support capacitor continues to run after long-term operation under actual working conditions Provide some reference.