Hybrid Cloud Surveillance in Smart Grids: Optimising Solar Power with Dual-Mode Control

¹ Department of Electronics & Communication Engineering, IES College Of Technology, IES University, Madhya Pradesh 462044 India, Bhopal .
² Department of Nursing, Al-Zahrawi University College, Karbala, Iraq
³ Department of Civil Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun-248007, India
⁴ Assistant Professor, Department of MECH, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai - 127
⁵ Professor, Department of Information Technology, Vishwakarma Institute of Information Technology, India Email: dharmesh.dhabliya@viit.ac.in orcid.org/0000-0002-6340-2993, Pune, Maharashtra
⁶ Assistant Professor, Department of BCA, K.S.Rangasamy College of Arts and Science (Autonomous), Tiruchengode. Mail Id: mahekoki@gmail.com

^* Corresponding Author : research@iesbpl.ac.in
^*** awadheshcm@gmail.com
^**** r.Srisainath_mech@psvpec.in

Abstract

This article reviews the progress in the realm of Hybrid Cloud Surveillance in Smart Grids Optimising Solar Power with Dual-Mode Control, delving into the amalgamation of smart grid systems with modern communication and information technology methodologies. A pronounced focus is given to the employment of hybrid or private clouds for bolstered security, data categorisation, and storage sourced from the power grid. The research accentuates the necessity to establish a robust wireless sensor network for overseeing pivotal parameters within the power system grid, enabling automated decision-making during system disruptions or fault current situations by scrutinising the processed data. This approach enhances the power system design and fortifies its integration with renewable energy sources, improving storage capacity and dependability. Moreover, the paper probes into the workings of a solar hybrid power system, utilising an innovative fuzzy control method. By embedding a supercapacitor hybrid energy storage system (HESS) into the solar hybrid power generation framework, there’s a marked increase in energy consumption, storage space, and power output. The research underscores the challenges presented by the nonlinear behaviour of photovoltaic devices and the necessity for advanced maximum power point tracking (MPPT) techniques, with the integration of a dynamic power factor correction scheme and a conductance-fuzzy dual-mode control strategy emerging as a central solution for optimising the solar hybrid renewable energy system.