The Optimization for Management Model of Directly Transfer User in Regional Power Grid

Li Li Yuan; Lin Liu

doi:10.4028/www.scientific.net/AMR.1049-1050.609

Paper Titles

Study on Vibration and Damping of Printed Circuit Boards Treated with Partial Constrained Damping Layer
p.590

The Design and Practice of Process Level Network in Smart Substation
p.595

Effect of a Single Overload on the Fracture Behavior in Safe-End Dissimilar Metal Welded Joints in Nuclear Power Plant
p.600

Whole Simulation of Single Phase Energy Metering Chip
p.605

The Optimization for Management Model of Directly Transfer User in Regional Power Grid
p.609

The Analysis of One Protection Action Caused by 110kV Line Break Fault
p.613

The Factors Affecting Accuracy Rate of Power Load Forecasting in Summer
p.617

Research on a Distribution Line Zero Mode Current Traveling Wave Fault Location Method Immune from Wave Velocity Affection
p.621

The Research on Application of 1000Mw Unit Boiler Safety System
p.626

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050The Optimization for Management Model of Directly...

The Optimization for Management Model of Directly Transfer User in Regional Power Grid

Abstract:

This paper analyzes the direct transfer of user management problems in the existing schedule management, analysis how to optimize the current large regional power grid management model for the user’s scheduling, establish the effective management of large user scheduling system.

You might also be interested in these eBooks

Modern Technologies in Materials, Mechanics and Intelligent Systems

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

609-612

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.609

Citation:

Cite this paper

Online since:

October 2014

Authors:

Li Li Yuan*, Lin Liu

Keywords:

Direct Transfer, Scheduling Agreement, User Management Mode, User Profile

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] AlaIl, R．M．, James, S．N．&Cerry, M．K．Simulated annealing heuristics formanaging resources during planned outages at electric power plants[J]．Computers&Operations Research, 2005, 32(1): 107—125.

DOI: 10.1016/s0305-0548(03)00206-5

Google Scholar

[2] Alessandro, A．, Nicholas, G H．&Dario, P Supply chain scheduling: Sequence coordination[J]．DiscreteApplied Mathematics, 2006, 154(15): 2044—(2063).

Google Scholar

[3] Aliev, R．A．, Fazlollahi, B．, Guirimov, B．Ct, et a1．Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management[J]．Information Sciences, 2007, 177(20): 4241-4255.

DOI: 10.1016/j.ins.2007.04.012

Google Scholar

[4] Amit B．&Thomas F S．The Impact of E-Business Technologies on Supply Chain Operation: A Macroeconomic Perspective[J]．Research Department, 2004, 23(4): 57—65.

Google Scholar

[5] Ardanuy, J．E&Zufiria, P．J．Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms[J]．Neurocomputing, 2007, 70(16): 2902—2912.

DOI: 10.1016/j.neucom.2006.06.014

Google Scholar