Open AccessMeta‐heuristic technique for network reconfiguration in distribution system with photovoltaic and D‐STATCOM
Author(s) -
Ganesh Selvaraj,
Kanimozhi Rajangam
Publication year - 2018
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.2018.5629
Subject(s) - control reconfiguration , photovoltaic system , voltage , node (physics) , heuristic , computer science , power (physics) , reduction (mathematics) , electronic engineering , control theory (sociology) , engineering , topology (electrical circuits) , electrical engineering , mathematics , embedded system , artificial intelligence , physics , geometry , control (management) , structural engineering , quantum mechanics
This study presents a reconfiguration methodology based on a multi‐objective modified flower pollination algorithm (MO‐MFPA) that aims to achieve the power loss reduction, minimum load balancing index, and maximum voltage profile in radial distribution networks with photovoltaic (PV) arrays and distribution static compensator (D‐STATCOM). Here, PV array is considered as distributed generation and D‐STATCOM acts as a distribution flexible AC transmission system. The MO‐MFPA is a meta‐heuristic technique based on the combination of flower pollination algorithm and cloning selection algorithm. A reconfiguration is done through changing the tie and sectional line positions in the distribution system. At the time of reconfiguration, movement of load node to a set of power nodes secures the radial structure of the network. Voltage stability index is used to pre‐identify the most candidate buses for placing PV arrays and D‐STATCOM. Then the proposed MO‐MFPA is employed to deduce the size and locations of PV arrays and D‐STATCOM from the elected buses. For more practical applications, different cases of reconfiguration, PV, and D‐STATCOM installation are considered to evaluate the performance approach at different load factors. The proposed method has been effectively tested on IEEE 33, 69, and 118‐bus distribution systems and encouraging results have been obtained.