Optimal scheduling of industrial task-continuous load management for smart power utilization

Wang, Jidong, Fang, Kaijie, Dai, Jiaqiang, Yang, Yuhao and Zhou, Yue ORCID: https://orcid.org/0000-0002-6698-4714 2017. Optimal scheduling of industrial task-continuous load management for smart power utilization. Applied Sciences 7 (3) , 281. 10.3390/app7030281

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Abstract

In the context of climate change and energy crisis around the world, an increasing amount of attention has been paid to developing clean energy and improving energy efficiency. The penetration of distributed generation (DG) is increasing rapidly on the user’s side of an increasingly intelligent power system. This paper proposes an optimization method for industrial task-continuous load management in which distributed generation (including photovoltaic systems and wind generation) and energy storage devices are both considered. To begin with, a model of distributed generation and an energy storage device are built. Then, subject to various constraints, an operation optimization problem is formulated to maximize user profit, renewable energy efficiency, and the local consumption of distributed generation. Finally, the effectiveness of the method is verified by comparing user profit under different power modes.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering ?? CIRGR ??
Publisher:	MDPI
ISSN:	2076-3417
Date of First Compliant Deposit:	31 May 2018
Date of Acceptance:	9 March 2017
Last Modified:	05 May 2023 10:24
URI:	https://orca.cardiff.ac.uk/id/eprint/111585

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