Consensus-based Hierachical Demand Side Management in Microgrid

Ma, Jie and Ma, Xiandong (2019) Consensus-based Hierachical Demand Side Management in Microgrid. In: 2019 25th IEEE International Conference on Automation & Computing (ICAC) :. IEEE. ISBN 9781728125183

[thumbnail of PID6037769]
Text (PID6037769)
PID6037769.pdf - Accepted Version
Available under License Creative Commons Attribution-NonCommercial.

Download (407kB)


The increasing penetration of renewable power generators has brought a great challenge to develop an appropriate energy dispatch scheme in a microgrid system. This paper presents a hierarchical energy management scheme by integrating renewable energy forecast results and distributed consensus algorithm. A multiple aggregated prediction algorithm (MAPA) is implemented based on satellite weather forecast data to obtain a short-term local solar radiance forecast curve, which outperforms the multiple linear regression model. A distributed consensus algorithm is then incorporated into the HVAC (heating ventilation air conditioning) units as the adjustable loads in order to dynamically regulate power consumption of each HVAC unit, based on solar power forecast in a day. The scheme aims to alleviate the local supply-demand power mismatch by varying demand response of the HVAC units. Two case studies are performed to demonstrate the feasibility and robustness of the algorithms.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ID Code:
Deposited By:
Deposited On:
25 Sep 2019 09:40
Last Modified:
28 Jun 2024 02:47