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

Autor:	Saeed Hasanvand, Hossein Fallahzadeh-Abarghouei, Mohammad-Esmaeil Hassanzadeh, Majid Nayeripour
Rok vydání:	2015
Předmět:	Statistics and Probability Set (abstract data type) Distribution system Mathematical optimization Optimization problem Artificial Intelligence Reliability (computer networking) General Engineering Binary number Fuzzy logic Mathematics Power (physics) Voltage
Zdroj:	Journal of Intelligent & Fuzzy Systems. 29:351-363
ISSN:	1875-8967 1064-1246
DOI:	10.3233/ifs-151600
Popis:	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.
Databáze:	OpenAIRE
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