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This article proposes a novel methodology that employs a goal programming technique and genetic algorithm for formulation and evaluation of a multiobjective function, respectively, for optimal planning of distributed generator units in the distribution system. The multi-objective function consists of various performance indices that govern the optimal operation of a distribution system with distributed generator units. The proposed method aims to greatly diminish the dependence in existing methods on the global preference information of the distribution system planner by means of simplicity in problem formulation utilizing a goal programming technique. The capacity of the distribution system to accept distributed generator integration is evaluated such that with the placement of every additional distributed generator unit, the value of multi-objective function reduces without any violation in the system operating constraints. The effectiveness of the proposed method is tested using various distribution systems of different sizes and configurations, and the results are validated with the existing methods, namely the iterative genetic algorithm method and the fuzzy embedded genetic algorithm method. Further, different types of distributed generator models are also employed to demonstrate the adaptability of the proposed method in distributed generator planning studies.

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Placement of multiple distributed generators (DG) in distribution system is addressed in this paper. A multiobjective index, formulated by combining the appropriately weighed diverse performance indices, is evaluated using Genetic Algorithm to assess the suitable locations and sizes of DG units to be placed. The impact of DG model on DG siting and sizing are also addressed considering different voltage dependent load models. The simulation study is carried out on a typical 25 bus Indian system and the results of the study show that the DG model significantly affects the placement location, size of the unit and penetration level (sum of the size of DG units) in a distribution system.