Distributed Generation Planning via Strength Pareto Multiobjective Optimization Approach

Owing to the incremental demands for electrical energy, distributed generation (DG) sources are becoming more important in distribution systems. Locations and capacities of DG sources have profoundly impacted on the system losses in a distribution network. In this paper, a novel Strength Pareto Evolutionary Algorithm (SPEA) is represented for optimal location and sizing of DG on distribution systems. The objective is minimizing network power losses, better voltage regulation and improves the voltage stability within the security constraints in radial distribution systems. Two different systems, 33 and 69 bus systems, are used to demonstrate the effectiveness of the proposed methodology. The results are compared with other evolutionary methods like GA and COA through some performance indices to indicate its flexibility.