The Distributed Generation (DG) technologies, which include both conventional and non-conventional type of energy sources for generating power, are gaining momentum and play major role in distribution system as an alternative distribution system planning option. The penetration of DGs is potentially beneficial if distributed generation planning (DGP) is optimal i.e. their site and size are selected optimally by optimization of single or multi-objective function under certain operating constraints. Many researchers have presented some rigorous optimization-based methods for DGP. This paper will review the various objectives, different constraints as well as optimization based models using conventional algorithms, intelligent searches and fuzzy set applications in DGP.

No abstract

The comparison of different types of distributed generation (DG) may help for appropriate selection of type of DG for distributed generation planning (DGP) in distribution system for various load scenario. The load on each bus of distribution system may be, in practice, the composition of industrial, residential, and commercial types of load which may also vary with seasonal day, and night. Therefore, in this paper the seasonal mixed load models at each bus are assumed and study is carried out with bus voltage and line power capacity limits for different types of DG using incremental power flow and exhaustive search method as deterministic approach. This analysis shows that mixed load model, types of DG, and power factor of DG have significant impact on size and location of DG.

No abstract

No abstract