Optimizing Crossflow Micro-Hydro Plant Adapting Automation, Wireless Control and AI-based Technologies

Abstract

The constructive exploitation of small rivers and tributaries flowing through the far-flung hilly regions Micro hydro electric plants (MHEPs) can become an successful business option for local entrepreneurs and also ushering in economic development of the rural communities through direct and indirect employment. Due to its environmentally friendly characteristics and affordability, small-time entrepreneurs prefer manually/semi-automatically operated Crossflow hydro turbine MHEP mounted with a squirrel cage induction generator that are connected to strong electric grids. These MHEPs would be more beneficial to local entrepreneurs when its efficiency, reliability, and sustainability is enhanced while minimizing operational costs and environmental impact by finding low-cost technological solutions minimize the problems of sustainability. It is in this context, that this applied research was undertaken. This applied research propounds the integration of four different newly designed cost-effective advanced automation and wireless engineering technologies to optimize this type of MHEP and implementing the same in a real-world 50 kW MHEP for its sustainable operations along with AI-based solutions.