How can microgrid energy management strategies reduce peak load demand?

Microgrid energy management strategies with peak load reduction (PLR)-based demand response program was proposed to lower end-user energy costs and lower the peak load demand on the power grid 44.

How AI-enhanced energy management systems can improve microgrid performance?

AI-enhanced energy management systems (EMSs) have shown promising results in various microgrid configurations. For instance, field-programmable gate arrays (FPGAs) equipped with AI algorithms have significantly improved cost savings and reliability by dynamically adjusting to load and generation changes .

How can microgrid efficiency and reliability be improved?

This review examines critical areas such as reinforcement learning, multi-agent systems, predictive modeling, energy storage, and optimization algorithms—essential for improving microgrid efficiency and reliability.

Can a zero-carbon microgrid be built in Yunnan Province?

In this paper, with Yunnan Province as an example, we focus on the construction feasibility and operation capability of zero-carbon microgrids. Based on the characteristics of renewable-dominant power system, a comprehensive study is made in terms of system framework, construction scheme and economy analysis.

What is a microgrid?

The term “microgrid” refers to the concept of a small number of DERs connected to a single power subsystem. DERs include both renewable and /or conventional resources . The electric grid is no longer a one-way system from the 20th-century . A constellation of distributed energy technologies is paving the way for MGs , , .

How to optimize power management in microgrids?

An energy management model based on an artificial neural network (ANN) technique is provided in 13 and the model is optimized by PSO technique. A model predictive control (MPC) is used for the strategy of power management in microgrids using PSO as an optimization technique 14.