Distributed Generations Optimal Placement and Sizing in Unbalanced Distribution Systems with Respect to Uncertainties

T.Ravi kumar
Assoc. Professor, Department of Electrical & Electronics Engineering, GIST, Nellore, Andhra Pradesh, India , IN

K.Chandana Gayathri
Assoc. Professor, Department of Electrical & Electronics Engineering, GIST, Nellore, Andhra Pradesh, India , IN

M.Priyanka
Assoc. Professor, Department of Electrical & Electronics Engineering, GIST, Nellore, Andhra Pradesh, India , IN

D.LAishwarya
Assoc. Professor, Department of Electrical & Electronics Engineering, GIST, Nellore, Andhra Pradesh, India , IN

K.Mariya
Assoc. Professor, Department of Electrical & Electronics Engineering, GIST, Nellore, Andhra Pradesh, India , IN

Keywords: Improved Particle Swarm Optimization, Linear Three Phase Unbalanced Load Flow, Unbalanced Distribution Systems, Uncertainty of Distributed Generations

Abstract

Distributed generations are renewable sources that do not create environmental pollution and install near
the site of consumption. Also, the generated power of wind and solar sources are faced with uncertainty due to the
dependence on external factors. With determination of the appropriate location and size of these sources in
distribution networks their positive effects can be realized. But it must be noted that distribution networks due to the
unequal phase loads and mutual impedance between various phases of lines are virtually unbalanced. So in this
paper, determination of the appropriate size and place of distributed generations is done in unbalanced distribution
network that distributed generations’ appropriate size obtained with respect to probabilistic methods and their
convenient location is selected using weighted multi-objective IPSO algorithm. With regard to impact of exact load
flow in calculations, linear three-phase unbalanced load flow method considering the loads model and loads
connection type is used which is the fast and accurate unbalanced load flow method. Simulations are done in IEEE 37
bus unbalanced network in Matlab software. The simulation results indicate that network power losses and voltage
unbalance factor are reduced, voltage profile of each phase is improved and significant profit is obtained for
distribution companies.

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