Neural-net based real-time control of capacitors installed on distribution systems

Journal Article · Mon Jan 01 00:00:00 EST 1990 · IEEE (Institute of Electrical and Electronics Engineers) Transactions on Power Delivery; (USA)

DOI:https://doi.org/10.1109/61.107283· OSTI ID:5128886

Santoso, N I; Tan, O T ^[1]

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1. Louisiana State Univ., Baton Rouge, LA (USA). Dept. of Electrical and Computer Engineering

An expert system using a two-stage artificial neural network is proposed to control in real time the multitap capacitors installed on a distribution system for a nonconforming load profile such that the system losses are minimized. The required input data are directly obtained from on-line measurements which include the active and reactive line power flows, voltage magnitudes, and the current capacitor settings at certain buses. The optimum control does not involve any iteration procedure, therefore, it is computationally very efficient. Studies on a 30 bus distribution test system show the expert system to have quite satisfactory results.

• OSTI ID: 5128886
• Journal Information: IEEE (Institute of Electrical and Electronics Engineers) Transactions on Power Delivery; (USA), Vol. 5:1; ISSN 0885-8977
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
29 ENERGY PLANNING
POLICY AND ECONOMY
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
CAPACITORS
COMPUTERIZED CONTROL SYSTEMS
ON-LINE MEASUREMENT SYSTEMS
ARTIFICIAL INTELLIGENCE
POWER DISTRIBUTION SYSTEMS
AUTOMATION
ENERGY LOSSES
LOAD MANAGEMENT
MINIMIZATION
OPTIMIZATION
REAL TIME SYSTEMS
CONTROL SYSTEMS
ELECTRICAL EQUIPMENT
EQUIPMENT
LOSSES
MANAGEMENT
ON-LINE SYSTEMS
240201* - Power System Networks
Transmission & Distribution- AC Systems- (1990-)
296000 - Energy Planning & Policy- Electric Power
990200 - Mathematics & Computers