This paper deals with the problem of choosing optimal locations and sizes of capacitors in three-phase unbalanced distribution systems. This is a mixed, nonlinear, constrained optimization problem that must be formulated in probabilistic scenarios to take into account the unavoidable uncertainties that affect the problem’s input data. To reduce the computational efforts, a new optimization model with only inequality constraints is formulated and the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm is applied. The proposed approach is tested on the IEEE 34-node unbalanced distribution systems.

A PROBABILISTIC APPROACH FOR OPTIMAL CAPACITOR PLACEMENT IN A DISTRIBUTION SYSTEM USING SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION

VARILONE, Pietro
2015-01-01

Abstract

This paper deals with the problem of choosing optimal locations and sizes of capacitors in three-phase unbalanced distribution systems. This is a mixed, nonlinear, constrained optimization problem that must be formulated in probabilistic scenarios to take into account the unavoidable uncertainties that affect the problem’s input data. To reduce the computational efforts, a new optimization model with only inequality constraints is formulated and the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm is applied. The proposed approach is tested on the IEEE 34-node unbalanced distribution systems.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11580/62504
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