As the smart grid evolves, it requires increasing distributed intelligence, optimization and
control. Model predictive control (MPC) facilitates these functionalities for smart grid …

Renewable energy utilization is the only suitable solution to diminish the increasing level of
greenhouse gas emissions, fuel costs, and energy crisis in the next generation. Out of many …

This paper presents renewable energy systems based on micro-hydro and solar
photovoltaic for rural areas, with a case study in Yogyakarta, Indonesia. The Special Region …

The tracking of power in solar PV systems depends on controlling the voltage or current to
the optimum level irrespective of changes in solar irradiation. There are two aspects of …

Dynamic performance of maximum power point tracking (MPPT) algorithms is important to
ensure high-power output under practical operating conditions. In this article, after reviewing …

This paper proposes bidirectional power flow control of a grid interactive solar photovoltaic
(PV)-fed water pum** system. A brushless DC (BLDC) motor drive without phase current …

The main objective of this work is to provide an overview and evaluation of discrete model-
predictive control (MPC)-based maximum power point tracking (MPPT) for photovoltaic …

The increasing energy demand and the target to reduce environmental pollution make it
essential to use efficient and environment-friendly renewable energy systems. One of these …

This article addresses the problem of stabilization of dc–dc converters feeding constant
power loads (CPLs). An explicit model predictive control is developed based on an average …

This paper presents a method that overcomes the problem of the confusion during fast
irradiance change in the classical maximum power point tracking (MPPT) as well as in …