A Novel Reconfiguration Method in Smart Distribution Grid Considering Interval Data and Distributed Generation

Abstract

This paper investigates optimal network reconfiguration problem considering data uncertainties, with the integration of distributed generation (DG) in distribution grid. The proposed network reconfiguration formulation is formed as a multi-objective optimization problem. Through normalization of each objective function, the multi-objective optimization is transformed to single-objective optimization. The optimization problem is further solved by combining Binary Particle Swarm Optimization (BPSO) and Harmony Search Algorithm (HSA) considering DG integration, where BPSO is utilized to solve the reconfiguration problem, and DG placement is optimized based on the optimal network structure using improved HSA. Interval analysis is applied to deal with parameter uncertainties. Numerical tests on IEEE 33-bus, PG&E 69-bus show the applicability of the proposed method. The computational result indicates that the proposed algorithm for optimal network reconfiguration is feasible and effective.