Power Distribution Network Reconfiguration Using an Improved Sine-Cosine Algorithm-Based Meta-Heuristic Search

This paper proposes an improved sine-cosine algorithm for solving power distribution network reconfiguration (PDNR) problem. The sine-cosine algorithm is a recently proposed population-based meta-heuristic optimization algorithm which uses the mathematical sine and cosine functions for searching the solution space. The search procedure looks for the best solution by repeatedlymaking small changes to an initial solution until no further improved solutions are found. To maintain a balance between local and global search, four random variables (r(1), r(2), r(3) and r(4)) are integrated into this algorithm. For applying this algorithm to the PDNR problem, some improvements are proposed in this meta-heuristic search algorithm along with a new data structure-based load flow method to minimize power loss as the single objective. The effectiveness of the proposed PDNR algorithm is tested by considering five standard test distribution systems (33, 69, 84, 119 and 136 buses).