An intelligent approach for optimal capacitor placement problem as a reliability reinforcement strategy

Article type: Research Article

Authors: Kavousi-Fard, Abdollah^* | Abasi, Alireza | Rezazade, Hamed | Ansari, Javad

Affiliations: Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran

Correspondence: [*] Corresponding author. Abdollah Kavousi-Fard, Nourabad Mamasani Branch, Islamic Azad University, Nourabad Mamasani, Iran. Tel./Fax: +9871336257831; Abdollah.kavousifard@gmail.com

Abstract: This paper proposes a new method based Cuckoo Search Algorithm (CSA) to investigate the optimal capacitor placement and sizing from the reliability point of view. In this regard, System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) as the “customer-orientated indices” and Average Energy Not Supplied (AENS) as the “load and energy-orientated index” are utilized as the reliability objective functions. Meanwhile, to reach a compromise between the original objective functions and reliability ones, the total system cost including the MW cost of power losses as well as the capacitor investment cost is also considered as an objective function. In order to handle the proposed nonlinear constraint multi-objective optimization problem suitably, a new self adaptive modification method based on Cuckoo Search Algorithm (CSA) is proposed. The feasibility and effectiveness of the proposed method is investigated through a standard test system.

Keywords: Reliability enhancement, capacitor placement and sizing, self adaptive modification method, Cuckoo Search Algorithm (CSA)

DOI: 10.3233/IFS-151664

Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 5, pp. 1857-1867, 2015