Analysis of Optimal Size and Location of Distributed Generation for Various Inertia Weights using IPSO Algorithm

Lavanya Nalla*, N. Prema Kumar**
* PG Scholar, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.
** Professor, Department of Electrical Engineering, Andhra University, Visakhapatnam, India.
Periodicity:August - October'2017


This paper presents multi objective optimization in Radial Distribution System (RDS). Optimal size and location of Distributed Generation (DG) plays an important role in reduction of real power loss and voltage improvement in RDS. The optimal location of DG will give system reliability and stability, and which leads to improved performance of the system. The proposed PSO method is introduced by various inertia weights strategies and carried out through inertia weighted Particle Swarm Optimization (IPSO) by considering technical aspects. The technical indices real power index, reactive power index, and voltage profile index are discussed over here. These indices are analysed with various inertia weight strategies and how they impact the DG size and DG location. This approach is tested on standard IEEE 33 bus system.


Distributed Generation, Inertia Weights, Optimal Size, Optimal Location, Multi Objective Optimization

How to Cite this Article?

Nalla, L., and Navuri, P. K. (2017). Analysis of Optimal Size and Location of Distributed Generation for Various Inertia Weights using IPSO Algorithm. i-manager’s Journal on Power Systems Engineering, 5(3), 34-40.


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