Solution Space Optimization for Network Reconfiguration Considering Power Distribution Network Characteristics

The choice of initial feasible solutions for power distribution network optimization algorithms will affects the computational efficiency. However, it may often be overlooked the impact of electrical characteristics of power grid to the initial feasible solutions. The initial feasible solutions optimal method for network reconfiguration, which considering power grid characteristics with network simplification and switch grouping by analyzing the distribution network topology based on CIM model, is presented in this paper. The solution space condition which satisfying the radial operation of distribution grid and under the inductive network reconfiguration constraints is established in this paper. A case study using genetic algorithms for distribution network reconfiguration shows that the computational efficiency of optimization algorithms will increases exponential multiple times by the proposed method of solution space optimization. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.