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

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 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 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 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 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 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 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.