A Novel Stochastic Framework for the Optimal Placement and Sizing of Distribution Static Compensator

This paper proposes a new stochastic framework based on the probabilistic load flow to consider the uncertainty effects in the Distribution Static Compensator (DSTATCOM) allocation and sizing problem. The proposed method is based on the point estimate method (PEM) to capture the uncertainty associat...

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Bibliographic Details
Published in:Journal of intelligent learning systems and applications 2013-05, Vol.5 (2), p.90-98
Main Authors: Khorram-Nia, Reza, Baziar, Aliasghar, Kavousi-Fard, Abdollah
Format: Article
Language:English
Subjects:
Algorithms
Compensators
Fuzzy
Optimization
Searching
Sizing
Stochasticity
Uncertainty
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Summary:This paper proposes a new stochastic framework based on the probabilistic load flow to consider the uncertainty effects in the Distribution Static Compensator (DSTATCOM) allocation and sizing problem. The proposed method is based on the point estimate method (PEM) to capture the uncertainty associated with the forecast error of the loads. In order to explore the search space globally, a new optimization algorithm based on bat algorithm (BA) is proposed too. The ob- jective functions to be investigated are minimization of the total active power losses and reducing the voltage deviation of the buses. Also to reach a proper balance between the optimization of both the objective functions, the idea of inter- active fuzzy satisfying method is employed in the multi-objective formulation. The feasibility and satisfying perform- ance of the proposed method is examined on the 69-bus IEEE distribution system.
ISSN:2150-8402
2150-8410
DOI:10.4236/jilsa.2013.52010