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Abstract
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Article Information:
Optimal Multi-type DGs Placement in Primary Distribution System by NSGA-II
K. Buayai
Corresponding Author: Kittvit Buayai
Submitted: February 02, 2012
Accepted: March 01, 2012
Published: October 01, 2012 |
Abstract:
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The study proposes a multiobjective optimal placement of multi-type DG for enhancement of
primary distribution system performance. A Pareto-based non-dominated sorting genetic algorithm II (NSGAII)
is proposed to determine locations and sizes of specified number of Distributed Generator units (DG) within
the primary distribution system. Three objective functions are considered as the indexes of the system
performance: average Load Voltage Deviation (LVD) minimization of the system real power loss and
minimization of the annualized investment costs of DG. A fuzzy decision making analysis is used to obtain the
final trade off optimal solution. The proposed methodology is tested on modified IEEE 33-bus radial system.
Test results indicate that NSGA-II is a viable planning tool for practical DG placement and useful contribution
of DG in improving the steady state system performance of the distribution system by the optimal allocation,
setting and sizing multi-type DG.
Key words: Distributed Generation (DG), Load Voltage Deviation (LVD), multi-objective optimization, non-dominate sorting genetic algorithm II (NSGA-II), , ,
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Cite this Reference:
K. Buayai, . Optimal Multi-type DGs Placement in Primary Distribution System by NSGA-II. Research Journal of Applied Sciences, Engineering and Technology, (19): 3610-3617.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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