Interactive fuzzy binary shuffled frog leaping algorithm for multi-objective reliable economic power distribution system expansion planning

Article type: Research Article

Authors: Nayeripour, Majid^* | Fallahzadeh-Abarghouei, Hossein | Hasanvand, Saeed | Hassanzadeh, Mohammad-Esmaeil

Affiliations: Department of Electrical & Electronic Engineering, Shiraz University of Technology, Shiraz, Iran

Correspondence: [*] Correspondence to: Majid Nayeripour, Department ofElectrical & Electronic Engineering, Shiraz University of Techno-logy, Shiraz, Iran. Tel.: +98 7117354500-4 (Extn: 2748); Fax: +98 7117264121; [email protected]

Abstract: A new method to solve non-linear mixed-integer constrained power distribution system expansion planning problems in presence of distributed generations (DGs) is investigated in this paper. The objective functions of this model are total energy not supplied (ENS) as reliability index, total expansion cost, and total voltage deviation. The final optimal solution proposes type, location and size of new equipment to meet the demand growth in the distribution system. An intelligent population based optimization algorithm called Binary Shuffled Frog Leaping Algorithm (BSFLA) is proposed to solve the problem. The interactive fuzzy method is used to solve the multi-objective optimization problem, so that conflicting objective functions can be easily consider together and achieve a set of non-dominated (Pareto-optimal) solutions. The model is applied on a standard IEEE distribution system to demonstrate the efficiency and feasibility of proposed method.

Keywords: Planning, Distributed Generation (DG), binary shuffled frog leaping algorithm, reliability, interactive fuzzy method

DOI: 10.3233/IFS-151600

Journal: Journal of Intelligent & Fuzzy Systems, vol. 29, no. 1, pp. 351-363, 2015