The increasing penetration of renewable energy sources (RES) in power systems intensifies
the need of enhancing the flexibility in grid operations in order to accommodate the …

As a result of the increased awareness of the dangers posed by global climate changes
(mainly caused by growing global energy consumption needs), the quest for clean and …

In this paper, we consider the operation optimization for a microgrid (MG) aggregator, which
can procure energy from various sources including the pool market and local distributed …

Power scheduling is an NP-hard optimization problem that demands a delicate equilibrium
between economic costs and environmental emissions. In response to the growing concern …

Energy storage systems (ESSs) are of great value to realize energy management and to
support large-scale renewable generation. The combined operation of ESSs and …

Reducing carbon emissions is an important goal for the whole world; a high penetration of
wind energy can help in reducing emissions. However, great increase in wind energy usage …

This manuscript suggests quasi-oppositional fast convergence real coded genetic algorithm
for determining short-term optimum generation schedule of variable head and fixed head …

Atmospheric pollutants, mainly produced by thermal power plants compel to utilize green
energy sources such as renewable energy sources and hydroelectric plants in a power …

The large-scale integration of wind generation in power systems increases the need for
reserve procurement in order to accommodate its highly uncertain nature, a fact that may …

This paper presents a multi-follower bilevel programming approach to solve the 24-h
decision-making problem faced by a combined heat and power (CHP) based micro-grid …