AN ARTIFICIAL NEURAL,NiETWORWARCHITECTURE FOR OPTIMAL COMMITMENT OF LOADS IN POWER DISTRI13UTION SYSTEM
Publish place: 7th International Power System Conference
Publish Year: 1371
Type: Conference paper
Language: English
View: 2,268
This Paper With 10 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
PSC07_002
Index date: 5 September 2007
AN ARTIFICIAL NEURAL,NiETWORWARCHITECTURE FOR OPTIMAL COMMITMENT OF LOADS IN POWER DISTRI13UTION SYSTEM abstract
In this paper a competitive architecture of an artificial neural network is introduced to generate the optimal commitment of consumption regions in predictable or undesired conditions of power_ distribution systems using.decision making methodologies.Two different objective functions are
considered and compared by simulation.The common sigmoid function is used as activation rule in the first step,then it is modified as function representing the intersection planes of oval shapes. The simulation results are compared and analyzed from different view points.
AN ARTIFICIAL NEURAL,NiETWORWARCHITECTURE FOR OPTIMAL COMMITMENT OF LOADS IN POWER DISTRI13UTION SYSTEM authors
Khanmohammadi
Faculty of Engineering Tabriz University Iran
Tsuchiya
Faculty of Engineering Hokkaido University Japan
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :