Autonomous multi-factor Energy Flows Controller (AmEFC): Enhancing
Renewable Energy Management with Intelligent Control Systems Integration
Abstract
This paper presents the intricate architectural design and operational
capabilities of the Autonomous multi-factor Energy Flow Controller
(AmEFC) in managing energy flow within microgrids. Central to its
function, the AmEFC Controller harmonizes software computations with
hardware interfacing to guarantee optimal energy flow and system
reliability. Notably, it factors in weather forecasting for predictive
energy management and allows city-scale intercommunication between local
AmEFC controllers for efficient energy surplus exchange. The framework
is structured hierarchically, incorporating diverse energy sources and
storage mechanisms, dynamic load management, supplemental energy, and
advanced decision-making systems. A unique innovation lies in its
adaptive response to surplus energy, directing it into gravitational
potential energy via hydro pumps. The Simulink model of the on-grid
AmEFC microgrid prototype is introduced, representing the integration of
renewable energy sources, storage systems, and critical load
distribution. Through scenario analysis in the Simulink model, the paper
assesses the system’s reliability in consistently powering critical
loads and its strategy in managing surplus energy. Conclusively, the
AmEFC system emerges as a promising solution for future resilient,
adaptable, and efficient microgrids, further empowered by its predictive
and collaborative capabilities.