Affiliations: [a] Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran | [b] Department of Electrical and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran
Correspondence:
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Corresponding author. Reza Khoramini, Department of Electrical and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran. Tel./Fax: +98 7138474334; [email protected]
Abstract: According to the standards, optimal allocation and sizing of D-STATCOM should be implemented accurately to make the maximum efficiency. Thus, this paper suggests a new approach based on social spider optimization (SSO) algorithm to deal with the optimal allocation and sizing of D-STATCOM in the distribution systems. The problem is formulated in a multi-objective framework based on scenario production and SSO algorithm to capture the uncertainties of active and reactive loads suitably. The proposed scenario based method generates a number of possible scenarios with different probabilities to model the uncertainty effects. The feasibility and satisfying performance of the proposed method are examined using an IEEE standard distribution test system.
