New genetic algorithm for economic dispatch of stand-alone three

The purpose of this research is to perform an economic dispatch, formulate an optimisation model, and determine optimal operating strategies for stand-alone microgrid systems. The stand

IoT-enabled Microgrid for Intelligent Energy-aware

This paper presents a novel hierarchical Internet of Things (IoT)-based scheme for Microgrid-Enabled Intelligent Buildings to achieve energy

Yaohong Huang | IEEE Xplore Author Details

Biography Yaohong Huang received the B.S. degree from the School of Automation, Guangdong Polytechnic Normal University, where he is currently pursuing the M.S. degree in control theory and

[PDF] A Holistic Power Optimization Approach for Microgrid Control

This paper presents a holistic datadriven power optimization approach based on deep reinforcement learning (DRL) for microgrid control considering the multiple needs of decarbonization,

Yaohong Huang''s research works | Guangdong Polytechnic Normal

The purpose of this research is to perform an economic dispatch, formulate an optimisation model, and determine optimal operating strategies for stand-alone microgrid systems.

dblp: A Holistic Power Optimization Approach for Microgrid Control

Bibliographic details on A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning.

A Holistic Power Optimization Approach for Microgrid Control

Abstract Microgrid systems integrated with renewable energy sources (RES) and energy storage systems (ESS) have played a crucial role in providing more secure and reliable energy and

Long-term energy management for microgrid with hybrid hydrogen

This paper studies the long-term energy management of a microgrid coordinating hybrid hydrogen-battery energy storage. We develop an approximate semi-empirical hydrogen storage