This paper presents a scenario-based stochastic management algorithm to deal with
scheduling the optimal operation of a multi-carrier microgrid (MG). The proposed framework …

This paper presents a stochastic management algorithm to address the optimal operation of
smart microgrids (MGs) in the high presence of stochastic renewable energy resources. The …

The uncertainty of renewable distributed energy sources, load demand and electric vehicles
bring great difficulties to the optimal scheduling of the grid-connected microgrid, this paper …

The inherent random and intermittence of the renewable energy resources pose a huge
challenge to the Microgrid (MG) energy management systems (EMS). In order to mitigate the …

In this paper, an efficient stochastic framework is proposed to investigate the effect of
uncertainty on the optimal operation management of MicroGrids (MGs). The proposed …

Using different types of renewable energy sources considering their uncertainties causes
numerous challenges for minimizing the operation cost and maximizing the reliability of …

This paper proposes stochastic energy management for an electrical system consisting of a
multi-microgrid and a distribution company (DISCO). The objective function aims at finding …

This study proposes a stochastic optimisation programming for scheduling a microgrid (MG)
considering multiple energy devices and the uncertain nature of renewable energy …

Due to environmental concerns and ever-increasing fuel costs, governments offer incentives
for clean and sustainable energy production from Distributed Generations (DGs) such as …

This paper presents a risk-constrained scheduling optimization model for a grid-connected
hybrid microgrid including demand response (DR), electric vehicles (EVs), variable wind …