Heuristic rule-based phase balancing of distribution systems by considering customer load patterns

In this paper, a heuristic backtracking search algorithm is proposed to adjust the phasing arrangement of primary feeders and laterals for phase balancing of distribution systems. The phase unbalance index of distribution feeders is calculated based on the phasing current magnitude of each line segm...

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Veröffentlicht in:IEEE transactions on power systems 2005-05, Vol.20 (2), p.709-716
Hauptverfasser: Lin, C.H., Chen, C.S., Chuang, H.J., Ho, C.Y.
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Chen, C.S.
Chuang, H.J.
Ho, C.Y.
description In this paper, a heuristic backtracking search algorithm is proposed to adjust the phasing arrangement of primary feeders and laterals for phase balancing of distribution systems. The phase unbalance index of distribution feeders is calculated based on the phasing current magnitude of each line segment and branch, which has been solved by a three-phase load flow program. The database of an automated mapping/facility management (AM/FM) system is used to retrieve the component attributes, and the topology process is executed to determine the electrical network configuration and the customers served by each distribution transformer. By using the monthly energy consumption of customers in customer information system (CIS) and the typical daily load patterns of customer classes, the hourly loading profiles of distribution transformers and service zones can be derived to solve the individual phase loadings of each primary feeder and lateral. The phase balancing of distribution systems is enhanced by heuristic rule-based searching process to minimize the phase unbalance index. To demonstrate the effectiveness of proposed methodology, a practical distribution feeder with 2754 customers is selected for computer simulation to enhance three-phase balancing of distribution systems. It is concluded that three-phase balancing of distribution systems can be obtained by considering customer load characteristics.
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subjects Automated mapping/facility management (AM/FM)
Chaos
Computational Intelligence Society
Computer simulation
customer information system (CIS)
customer load pattern
Customer satisfaction
Electric utilities
Energy consumption
Feeders
Heuristic
Heuristic algorithms
Information retrieval
Load flow
Management information systems
Network topology
node reduction
Phasing
Stress concentration
Studies
topology process
Transformers
Unbalance
title Heuristic rule-based phase balancing of distribution systems by considering customer load patterns
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