Renewable Energy Optimization, Planning and Control: Proceedings of ICRTE 2022 [Hardcover]

This book gathers selected high-quality research papers presented at International Conference on Renewable Technologies in Engineering (ICRTE 2022) organized by Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India, during October 78, 2022. The book includes conference papers on the theme Computational Techniques for Renewable Energy Optimization, which aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of renewable energy integration, planning, control, and optimization. It also provides a premier interdisciplinary platform for researchers, practitioners, and educators to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of renewable energy and resources.

Chapter 1. A Socio Inspired Technique in Nuclear Power Plant for Load Frequency Control by using Cohort Intelligence Optimization-based PID Controller.- Chapter 2. Seamless and smooth power sharing, voltage and frequency Control of Islanded Microgrid with Droop cum Supervisory Controller.- Chapter 3. Genetic Algorithm for Economic Load Dispatchwith Microgrid to Save Environment by reduction of CO2 Emission.- Chapter 4. An Electric Vehicle Integration in Distributed Generation with an Island Detection Technique to Meet Critical Load and Non-Critical Load.- Chapter 5. Green Communications: A Review of the Current Situation.- Chapter 6. PV System Design and Solar Generation Implementation.- Chapter 7. CoviDistBand: IoT-based wearable smart band to ensure social distancing.- Chapter 8. Gesture Recognition Glove for Speech and Hearing Impaired people.- Chapter 9. Simulation and Analysis of Rural Energy Systems Based on MultiCriteria Decision Making Methods.- Chapter 10. Assessment of Sessional Solar Energy Using PVsyst and SAM.- Chapter 11. Power GeneratilÃ%