Скачать или смотреть FUZZY LOGIC FOR OPTIMAL PLACEMENT OF MULTIPLE DISTRIBUTED GENERATION IN RADIAL AND MESH NETWORK

DESIGN DETAILS
The operating conditions of a power system after connecting DG sources can change drastically as compared to the base case. The planning of DG installations should, therefore, consider several factors: what would be the best technology to be used, how many units of DG and of what capacities, where should they be installed, what connection type should be used etc. The problem of DG allocation and sizing should be approached with caution. If DG units are connected at nonoptimal locations, the system losses may increase, thus resulting in increased costs. Studies have indicated that inappropriate locations or sizes of DG may lead to greater system losses than the ones in the existing network. This Matlab design is based on fuzzy logic for optimal location and sizing of distributed generation in a distribution network. The design used two different load-flow methods, Newton-Raphson load-flow for IEEE 14, 30 Bus Mesh Network and backward / forward sweep load flow IEEE 33, 69 Bus Radial Network. Using Matlab, the design tested by placing 1,2 and 3 DG for finding the optimal location and size.

REFERENCES
Reference Paper-1: Optimal Placement and Sizing of Multiple Distributed Generators using Fuzzy Logic
Author’s Name Rudresh B Magadum and D.B.Kulkarni
Source: IEEE
Year: 2009

Reference Paper-2: Optimal Distributed Generation Location and Sizing using Genetic Algorithms
Author’s Name: I. Pisica, C. Bulac, and M. Eremia Source: IEEE
Year: 2009

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