Open AccessOptimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement
Author(s) -
Abou ElEla Adel Ali,
ElSehiemy Ragab A.,
Kinawy AbdelMohsen,
Mouwafi Mohamed Taha
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.0799
Subject(s) - sizing , capacitor , sensitivity (control systems) , mathematical optimization , control theory (sociology) , reduction (mathematics) , ant colony , computer science , electric power system , voltage , ant colony optimization algorithms , power (physics) , mathematics , engineering , electronic engineering , electrical engineering , art , physics , geometry , control (management) , quantum mechanics , artificial intelligence , visual arts
This study presents a two‐stage procedure to identify the optimal locations and sizes of capacitors in radial distribution systems. In first stage, the loss sensitivity analysis using two loss sensitivity indices (LSIs) is employed to select the most candidate capacitors locations. In second stage, the ant colony optimisation algorithm is investigated to find the optimal locations and sizes of capacitors considering the minimisation of energy loss and capacitor costs as objective functions while system constraints are fully achieved. The fixed, practical switched and the combination of fixed and switched capacitors are considered to find the optimal solution. The backward/forward sweep algorithm is developed for the load flow calculations. The proposed procedure is applied to different standard test systems as 34‐bus and 85‐bus radial distribution systems. In addition, the application of the proposed procedure on a real distribution system of the East Delta Network as a part of the Unified Egyptian Network is used as a test system. Numerical results show the capability of the proposed procedure to find the optimal solution for significant saving in the total cost with more accurate and efficient, competitive compared with other methods in the literature especially with increasing the distribution system sizing.