Storage-based Energy Management for Multi-energy Community Microgrid

Abstract

This study aims to introduce a storage-based energy management (EM) strategy within the context of a multi-energy community microgrid (MG). The effectiveness of the proposed EM approach is tested using a storage-based MATLAB model of an actual MG under variable loads and realistic electricity prices. To evaluate its performance, a simulation case study is conducted under varying load and grid outage conditions. The simulation results demonstrate that the proposed approach is effective in managing energy from renewable sources, batteries, and backup generators to satisfy varying electrical loads. This approach minimizes grid dependency by importing electricity only when necessary, typically during a low state of charge, and excess renewable energy is stored in the battery, thereby reducing the need for grid imports and preventing curtailment. Furthermore, the dispatch results verify that the diesel generator serves as a reliable backup during extended periods of high demand or low renewable energy availability. These findings contribute to the field by introducing an innovative approach and highlighting the practical viability of multi-energy MGs. Show more