Rychagova et al., 2019 - Google Patents
Improving the efficiency of electric network equipment operational serviceRychagova et al., 2019
View PDF- Document ID
- 1134257580690752174
- Author
- Rychagova E
- Levin V
- Publication year
- Publication venue
- E3S Web of Conferences
External Links
Snippet
Maintenance and repair (M&R) of electric network equipment is one of the crucial methods for reliable power supplying. For implementing the condition based maintenance strategy is necessary to solve a number of problems, including prioritizing of preventive measures …
- 238000000034 method 0 abstract description 50
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
- Y04S10/54—Management of operational aspects, e.g. planning, load or production forecast, maintenance, construction, extension
- Y04S10/545—Computing methods or systems for efficient or low carbon management or operation of electric power systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GASES [GHG] EMISSION, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/70—Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of electrical power generation, transmission or distribution, i.e. smart grids as enabling technology in the energy generation sector not used, see subgroups
- Y02E60/76—Computer aided design [CAD]; Simulation; Modelling
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
- Y04S40/20—Information technology specific aspects
- Y04S40/22—Computer aided design [CAD]; Simulation; Modelling
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J2003/007—Simulating, e. g. planning, reliability check, modeling
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Moradi-Sepahvand et al. | Hybrid AC/DC transmission expansion planning considering HVAC to HVDC conversion under renewable penetration | |
US10355478B2 (en) | System and method for asset health monitoring using multi-dimensional risk assessment | |
Nick et al. | Wind power optimal capacity allocation to remote areas taking into account transmission connection requirements | |
Agajie et al. | Reliability enhancement and voltage profile improvement of distribution network using optimal capacity allocation and placement of distributed energy resources | |
Liu et al. | Availability assessment based case-sensitive power system restoration strategy | |
Gracheva et al. | Forecasting reliability electrotechnical complexes of in-plant electric power supply taking into account low-voltage electrical apparatuses | |
Amini et al. | Electrical energy systems resilience: A comprehensive review on definitions, challenges, enhancements and future proceedings | |
Tian et al. | Coordinated planning with predetermined renewable energy generation targets using extended two-stage robust optimization | |
Guo et al. | Evidence-based approach to power transmission risk assessment with component failure risk analysis | |
Kafle et al. | Reliability analysis techniques in distribution system: a comprehensive review | |
Yin et al. | Operational reliability assessment of distribution network with energy storage systems | |
CN104680239A (en) | Distribution network maintenance scheme optimization method and device based on element failure model | |
Hinojosa et al. | A computational comparison of 2 mathematical formulations to handle transmission network constraints in the unit commitment problem | |
Fu et al. | A tractable failure probability prediction model for predictive maintenance scheduling of large-scale modular-multilevel-converters | |
JP7570549B1 (en) | Electric power equipment management system, electric power equipment management method, and electric power equipment management program | |
Duan et al. | Long and medium term power load forecasting with multi-level recursive regression analysis | |
Xuping et al. | State maintenance strategy of wind turbine based on stochastic degradation model | |
Rychagova et al. | Improving the efficiency of electric network equipment operational service | |
Zafir et al. | Relationship between loss of load expectation and reserve margin for optimal generation planning | |
Akula et al. | Comparision of traditional and fuzzy failure mode and effects analysis for smart grid electrical distribution systems | |
Anthony | Reliability analysis of distribution network | |
Su et al. | Optimization of periodic maintenance for wind turbines based on stochastic degradation model | |
Darshi et al. | Prediction of short-term electricity consumption by artificial neural networks levenberg-marquardt algorithm in hormozgan province, Iran | |
CN113793003A (en) | A collaborative decision-making method for power system maintenance and operation for resilience improvement | |
RU2468425C1 (en) | Method for automated design of uninterrupted power supply systems |