A distribution network with renewable and fossil-based resources can be operated as a
micro-grid, in autonomous or nonautonomous modes. Autonomous operation of a …

This paper proposes an improved version of the artificial ecosystem-based optimization
(AEO) algorithm called artificial ecosystem-based optimization–opposition-based learning …

Electric distribution network is undergoing fundamental transition from conventional top-
down structure to an environment where local prosumers, as transactive agents, are able to …

This paper presents a combined approach based on Real Power Loss Sensitivity Index
(RPLSI) and artificial ecosystem-based optimization (AEO) to determine the optimal …

This article proposes a novel methodology that employs fuzzy set theory and the genetic
algorithm for formulation and evaluation of a multi-objective function, respectively, for …

This paper proposes a new framework for the planning of both distributed generators (DGs)
and electric vehicle charging stations (EVCSs). The proposed method efficiently produces a …

This article proposes a novel methodology that employs a goal programming technique and
genetic algorithm for formulation and evaluation of a multi-objective function, respectively …

Over the last few years, with a growing interest in energy security and climate change, the
integration of renewable energy sources (RES) and energy efficiency, including power loss …

Regarding different challenges, such as integration of green energy and autonomy of
microgrid (MG) in the multi-microgrid (MMG) system, this paper presents an optimized and …

Planning of distributed generator (DG) units in the distribution system employing
Hierarchical Agglomerative Clustering Algorithm (HACA) is proposed in this paper. The …