Distributed generation allocation using fuzzy multi criteria decision making algorithm
This paper presents an algorithm for Distributed Generation (DG) allocation planning, using fuzzy set theory and fuzzy multi criteria decision making based on the Bellman-Zadeh method. The proposed model considers power losses and investment deferral values on one side (goals) and line currents, node voltages and short circuit power values on the other (constraints). The objective of this work is to create a model which can be used to provide the best tradeoff between conflicting goals and constraints, inherently present in the DG allocation problem. The model is flexible and can be easily extended to include additional goals and constraints. In order to demonstrate its relevance, the proposed algorithm is applied to the realistic middle voltage (35 kV) distribution system in Bosnia and Herzegovina, in which various DG siting and sizing alternatives are considered. Results indicate that the algorithm is applicable to realistic systems and capable to provide valuable information regarding the influence of various DG allocation alternatives on system variables. It is expected that the algorithm will contribute towards the improvement of the existing DG planning process and it will be used in practical situations by planning engineers from the Utilities and Regulators.