[go: up one dir, main page]

Zhang et al., 2009 - Google Patents

Probability distribution for the feeder current of traction substation

Zhang et al., 2009

Document ID
8273437009999354334
Author
Zhang L
Li Q
Xing X
Publication year
Publication venue
2009 Asia-Pacific Power and Energy Engineering Conference

External Links

Snippet

Probability density function for feeder current of traction substation is fitted by using beta function through the theory of stochastic process and method of numerical analysis, and the distribution characteristic of feeder current is generalized and analyzed based on a great …
Continue reading at ieeexplore.ieee.org (other versions)

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
    • 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
    • Y02E60/72—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups
    • Y02E60/723—Systems characterised by the monitored, controlled or operated power network elements or equipments not used, see subgroups the elements or equipments being or involving electric power substations
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Wang et al. Unit commitment with volatile node injections by using interval optimization
Huang et al. Hybrid state estimation for distribution systems with AMI and SCADA measurements
Hamacek et al. Energy recovery effectiveness in trolleybus transport
CN103278685B (en) Harmonic duty quantitative allocation method based on statistical data correlation analysis
Gao et al. Measurement-based compartmental modeling of harmonic sources in traction power-supply system
CN101741086A (en) Stable Calculation Model Based on PMU Data and Comprehensive Evaluation Method of Parameter Accuracy
Liao et al. Local utilization of wind electricity in isolated power systems by employing coordinated control scheme of industrial energy-intensive load
CN105550793A (en) Second safety defense line load shedding accident grade risk online evaluation method
CN111401476B (en) Transient safety assessment method based on boundary area importance sampling and kernel vector machine
CN112858784B (en) Traction power supply system-regional power grid parallel harmonic resonance frequency identification method
Zhang et al. Probability distribution for the feeder current of traction substation
CN106407726A (en) Method for selecting electrical access point of electric automobile charging station by considering influence on tidal flow
CN101984358B (en) Indirect measurement method of building electric consumption
CN104156453A (en) Real-time on-line ultra-short-term busbar load prediction, assessment and analysis method
CN105449670A (en) Load characteristic analysis method for power distribution network
Feng et al. The impact of plug-in electric vehicles on distribution network
CN101894190B (en) Harmonic emission level estimation method for traction substation
CN108537002A (en) A kind of rail traffic tractive power supply system reliability estimation method
Mariscotti Uncertainty of the energy measurement function deriving from distortion power terms for a 16.7 Hz railway
Jin et al. Grid impact analysis of electric vehicles charging with different load profiles
CN103887801B (en) An Adaptive Method for Emergency Shedding of Induction Motor Load Based on Slip Response
CN105427199A (en) Responsibility evaluating method of multi-harmonic sources by integrating subjective and objective factors
Tang et al. Probability distribution of feeder current of electrified railway traction
Qi et al. Deepen research on electric load modelling
CN113949060A (en) A Voltage Trend Prediction System Based on Voltage Variation Law