Multi-source energy utilization for autonomous microgrids in energy storage systems based on an improved pinch point algorithm

Abstract

The rising energy demand, coupled with energy shortages and escalating industrial and living expenses, has made it crucial to prioritize energy conservation and emission reduction. The fundamental principles of the pinch point algorithm are employed for analyzing various loads in energy storage systems, such as those found in autonomous microgrids. By integrating the inherent characteristics of electricity, a comprehensive analysis of multiple energy types is conducted to determine optimal values for optimization. The pinch point algorithm is applied to ladder the heat exchange network, focusing on devices without flowing media. The analysis includes specific characteristics, and various energy types are equivalently calculated to facilitate the implementation of multi-energy laddering. The pinch point algorithm, a multi-energy optimization strategy, identifies the minimum energy consumption in heat transfer and offers insights for optimal energy utilization. It has shown potential for significant electricity savings of 675.34 kWh per day in smart grid parks.