Integration of renewable energy sources (RES) into traditional power system is one of the
most viable technologies to meet the ever increasing energy demand efficiently. But, this …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

Electricity is conceivably the most multipurpose energy carrier in modern global economy,
and therefore primarily linked to human and economic development. Energy sector reform is …

Optimal and simultaneous siting and sizing of distributed generators and capacitor banks in
distribution systems have attracted a lot of attention from distribution companies. The …

With the increase of energy demand and the continuous development of renewable energy
technology, active distribution networks have become increasingly important. However, the …

This paper proposes a stochastic multiobjective framework for daily volt/var control (VVC),
including hydroturbine, fuel cell, wind turbine, and photovoltaic powerplants. The multiple …

Microgrid (MG) innovation is an enhancement medium for incorporate numerous distributed
energy resources (DER) into power distribution systems. In the utility power industry, the …

The increasing penetration of distributed generators (DGs) exacerbates the risk of voltage
violations in active distribution networks (ADNs). The var capacity provided by DG inverters …

This paper proposes a new multi-objective optimization algorithm based on modified
teaching–learning-based optimization (MTLBO) algorithm in order to solve the optimal …

In this paper, an optimization method for the reactive power dispatch in wind farms (WF) is
presented. Particle swarm optimization (PSO), combined with a feasible solution search …