Network Reconfiguration Using Power System Analysis Toolbox (PSAT) for Loss Reduction in Distribution Systems.
Author(s)
Zehra, Essa-J-Abdul (17680192)M Moghavvemi (17660208)
Hashim, Maher M.I (17680195)
Kashem M. Muttaqi (16904643)
Keywords
Electrical circuits and systemsElectrical energy generation (incl. renewables, excl. photovoltaics)
Electrical energy storage
Electrical energy transmission, networks and systems
Electrical machines and drives
Utility System Optimization
network reconfiguration algorithm
Feeder Voltage Drop
Algorithm Development
Radial Configurations
Full record
Show full item recordAbstract
Network reconfiguration in a distribution system involves altering the status of sectionalizing switches and is primarily conducted to reduce losses. Such reduction holds significant benefits for utility companies, including increased system capacity and potential deferral or elimination of capital expenditures for system improvements and expansions. Moreover, it enhances voltage regulation by mitigating feeder voltage drop. This paper's research focuses on employing the branch exchange method to minimize losses and resolve issues across various radial configurations. The algorithm for loss minimization comprises two stages. Initially, the algorithm identifies the loop associated with maximum loss reduction by comparing the sizes of circles for each loop, considering that a loop is linked by a tie-line, resulting in several loops within the system. To ascertain the maximum loss-reduction loop, the sizes of modified zero loss-change circles are compared, and the loop within the largest circle is pinpointed for maximum loss reduction. Subsequently, the second stage determines the optimal switching operations within that loop to achieve a network configuration with minimum losses, assessing the circle size for each branch exchange. The solution is refined by identifying the smallest circle, thereby minimizing losses. The efficiency of the proposed branch exchange method is evaluated using 16-bus distribution systemsDate
2023-12-20Type
TextIdentifier
oai:figshare.com:article/2487402610.6084/m9.figshare.24874026.v1
Copyright/License
CC BY 4.0Collections
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