A Novel Control Strategy Based on an Adaptive Fuzzy Model Predictive Control for Frequency Regulation of a Microgrid With Uncertain and Time-Varying Parameters

Abstract

The intermittent and uncertain behavior of renewable energy sources; moreover, the increase in penetration of these resources causes some drawbacks in power grids, particularly in low-inertia microgrids. In addition to supply-side challenges, changing load rate has a considerable negative effect on small-size microgrids. Therefore, according to these challenges, the lack of balance between generation and demand is a vital issue in microgrids. One way to face these challenges would be using a suitable control strategy. In this research, an adaptive fuzzy model predictive control has been proposed as a novel control approach and has been compared with conventional controllers such as an optimal PI, and an adaptive optimal model predictive control. It is important to mention that, various types of load changing and time-varying parameters have been considered for a new model of small size microgrids in this study. The comparison and simulation results obviously indicate the effectiveness of the proposed control strategy.

Advanced load frequency control of microgrid using a bat algorithm supported by a balloon effect identifier in the presence of photovoltaic power source

“…However, without adjustments, those systems are unable to cope with the natural unpredictability of the actual μG, and typical functioning limits are all but ignored. Model predictive control (MPC) was demonstrated effectiveness as a method of control strategy for mitigating the drawbacks imposed on by the μG supply/demand instabilities along with system limits, like generation ramping rates and ability [25,26]. An adaptive fuzzy MPC for secondary FR was proposed in [25], enabling electricity consuming balanced to be ensured despite incoming power and load uncertainty.…”

“…Model predictive control (MPC) was demonstrated effectiveness as a method of control strategy for mitigating the drawbacks imposed on by the μG supply/demand instabilities along with system limits, like generation ramping rates and ability [25,26]. An adaptive fuzzy MPC for secondary FR was proposed in [25], enabling electricity consuming balanced to be ensured despite incoming power and load uncertainty. An MPC approach was given in [27], to accomplish secondary FR in a μG linked with multiple sources and connected electric cars (ECs), where the impact of changing system settings is reduced.…”

Modeling and Simulation of the Effect of Airbag Thickness on the Performance of Extended Handle Pneumatic Floor Jack

“…The current jacks at maintenance shops are heavy for women and the elderly to lift, and they are particularly inconvenient during inclement weather. However, the proposed machine solves these problems and also utilizes an abundant renewable energy source, namely, air [8,9]. The introduction of pneumatic floor jacks can increase productivity, minimize the skilled labor force, save time and money, and provide space for industrial, maintenance, and construction applications.…”

Applied Power Wheeling Concept Considering Site-Specific and Variability of VRE under Contingency Events

“…Variable renewable energy (VRE) is a type of RES that has non-dispatchable properties [6]. This VRE has three main characteristics: variability, uncertainty, and site specificity [7,8]. The site-specific nature causes the location of the VRE plant to be distant from the load location.…”