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access icon free Meta-heuristic technique for network reconfiguration in distribution system with photovoltaic and D-STATCOM

© The Institution of Engineering and Technology
Received 22/05/2018, Accepted 31/08/2018, Revised 25/07/2018, Published 17/09/2018

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.

Inspec keywords: distributed power generation; static VAr compensators; reactive power control; optimisation; voltage control; distribution networks; flexible AC transmission systems

Other keywords: network reconfiguration; different load factors; multiobjective modified flower pollination algorithm; power nodes; distribution static compensator; distribution flexible AC transmission system; minimum load balancing index; cloning selection algorithm; radial distribution networks; novel meta-heuristic technique; voltage stability index; radial structure; distribution system; maximum voltage profile; sectional line positions; PV array; D-STATCOM installation; feeder reconfiguration; tie; power loss reduction; MO-MFPA; reconfiguration methodology; 118-bus distribution systems; distributed generation; load node

Subjects: Optimisation techniques; Optimisation techniques; Control of electric power systems; Distribution networks

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