Online Energy Management in Microgids Considering Reactive Power

The optimal power energy scheduling of a microgrid (MG) is not only related to the active power of distributed generators but also dependent on the reactive power and system operational constraints. It is essential to manage the active and reactive power simultaneously in optimal energy distribution...

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Bibliographic Details
Published in:IEEE internet of things journal 2019-04, Vol.6 (2), p.2895-2906
Main Authors: Zou, Hualei, Wang, Yu, Mao, Shiwen, Zhang, Fanghua, Chen, Xin
Format: Article
Language:English
Subjects:
Algorithms
Averaging fixed horizon control (AFHC)
Distributed generation
Electric power distribution
Energy distribution
Energy management
energy management system (EMS)
Generators
Internet of Things
online algorithm
Optimization
Power generation
power quality
Reactive power
Real-time systems
smart grid
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Summary:The optimal power energy scheduling of a microgrid (MG) is not only related to the active power of distributed generators but also dependent on the reactive power and system operational constraints. It is essential to manage the active and reactive power simultaneously in optimal energy distribution. This paper is focused on developing an online algorithm to optimize the real-time power energy distribution in the MG, considering both reactive power and system operational constraints. The goal is to provide high quality electricity usage for users in the MG and maximize users' utility. The output power of controllable generators are also optimized. The proposed online algorithm is asymptotically optimal, since its solution converges to the offline optimal solution. The effectiveness of the proposed algorithm is validated using data traces obtained from a real-world MG.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2018.2876245