Details

Autor(en) / Beteiligte

• Abdi, Sh
• Afshar, K.
• Ahmadi, S.
• Bigdeli, N.
• Abdi, M.

Titel

Optimal recloser and autosectionalizer allocation in distribution networks using IPSO–Monte Carlo approach

Ist Teil von

• International journal of electrical power & energy systems, 2014-02, Vol.55, p.602-611

Ort / Verlag

Oxford: Elsevier Ltd

Erscheinungsjahr

2014

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •The recloser and autosectionalizer allocation is done for reliability improvement.•A methodology based on cost/benefit analysis for optimal allocation is proposed.•A hybrid method based on IPSO algorithm and Monte Carlo simulation is employed.•The effect of load types is considered in the optimal allocation.•The proposed algorithm is applied to the actual 50-bus system in Qazvin-Iran. Determination of optimal location of automatic devices such as reclosers and autosectionalizers (R&AS’s) for reliability improvement of distribution systems is a combinational and complex problem. In this paper, a methodology based on cost/benefit analysis for optimal R&AS’s allocation in distribution systems is proposed. The objective function is considered minimizing the costs of reliability of the distribution systems. Besides, the effect of load types is considered in the optimal R&AS’s allocation. A hybrid method based on Improved Particle Swarm Optimization (IPSO) algorithm and Monte Carlo simulation is proposed for solving the problem. The proposed algorithm is applied to the actual 50-bus distribution system in Qazvin-Iran. Numerical studies are representing of the effectiveness of the proposed method.