Experimental investigation of removal of sulfur dioxide from exhaust gas by using semi-dry flue gas desulfurization (FGD)

This study introduces an advanced algorithm for optimizing automatic generation control (AGC) in implantable devices, addressing the challenges posed by the variability of renewable energy sources such as solar and wind power. The proposed approach utilizes a predictive proportional-integral-derivative (PID) controller enhanced with square root derivatives, specifically designed for power systems with high photovoltaic and wind penetration. This innovative method aims to mitigate the instability caused by the fluctuating nature of renewable energy sources. The research develops a framework that models the electricity network dynamics, incorporating high levels of solar (PV) and wind energy. The introduction of a 'Kindly Please' regulator is a novel aspect of this study, designed to augment system stability amidst increasing reliance on renewable resources. This regulator is integrated into the simulation environment, allowing for the prediction and optimization of AGC performance based on various output scenarios.

Optimizing AGC in Implantable Devices

Selvakanmani,

Kamal,

Saravanan

et al. 2024

Synchronous Reconfiguration in Implantable Distributed Generation on Optimal Power Arrangement

Ali H.,

Krishnakumari,

Selvakanmani

et al. 2024

This study addresses the challenges of synchronous reconfiguration in implantable distributed generation systems, aiming to optimize power arrangement using an evolutionary whale optimization technique. The research focuses on overcoming the degradation in utility grid performance caused by varied responses, which significantly impacts the efficacy of electricity delivery in implantable systems. The key objective is to deliver high-quality electricity while minimizing power dissipation and maintaining operational temperatures within safe limits. To achieve this, the study proposes an innovative method that optimizes both the routing protocol and the placement of capacitors within the implantable distributed generation network. This approach is designed to reduce power flow and operational costs, thereby improving the efficiency of various buses in the system. The optimization process utilizes Jackson's technique for identifying the optimal minimal tree in routing, complemented by an adaptable whale optimization algorithm for model predictive control.

Analyzing Renewable Power Integration in Edible Devices on Variable Rate Pumped Storage

Seeniappan,

Krishnakumari,

Shanmugapriya

et al. 2024

This study embarks on a novel exploration of integrating renewable power sources, particularly wind and solar energy, into edible devices, focusing on the Indian power grid's context. As the prevalence of renewable energy sources grows, the dynamics of power systems are rapidly evolving, presenting unique challenges such as network stability and fluctuating energy outputs. This research specifically addresses the variability inherent in renewable energy sources and investigates the potential of minimum variable rate pumped storage systems to provide fundamental consistency in power grids. Key issues such as network inertia minimization and the challenges posed by nano-grids are examined, with an emphasis on their impact on edible devices. The study also explores the use of rapid dispatchable generation (DG) units, like the Kenneth and configurable speed hydel charger, as viable solutions to the energy fluctuation issues typical in renewable-rich power systems.