Multi-objective distribution network reconfiguration with DG integration using improved fireworks algorithm

The network integration of distributed generation (DG) units such as wind turbines and photovoltaic (PV) energy systems makes distribution system operation and control more complicated while achieving economic and environmental benefits. This paper presents a multi-objective distribution network reconfiguration optimization model incorporating wind and PV components, aiming at minimizing system power loss, voltage nodes deviation, and load balance under a series of specific operational constraints. The scenario-based analysis technique is introduced to handle the uncertainties of wind turbine generation and PV output. Regarding the highly nonlinear nature of the proposed model, an enhanced fireworks algorithm is applied to obtain the set of Pareto front solutions of the multi-objective optimization model. Some significant improvement measures including improved loop coding to avoid infeasible solution, flexible adjustment of optimal radius pertinent to the Pareto front according to the population algebra and the individual dominant strength are discussed elaborately during analysis. Finally, the case studies are carried out on the IEEE 33-bus test system. The corresponding statistical analysis pertinent to different DG output scenarios and the comparative analysis are elaborately designed and conducted to demonstrate the validity and effectiveness of the proposed model and enhanced method.