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Appl. Sci. 2017, 7(3), 281; doi:10.3390/app7030281

Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization

Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China
Author to whom correspondence should be addressed.
Academic Editors: Josep M. Guerrero and Amjad Anvari-Moghaddam
Received: 9 November 2016 / Revised: 27 February 2017 / Accepted: 9 March 2017 / Published: 14 March 2017
View Full-Text   |   Download PDF [1768 KB, uploaded 14 March 2017]   |  


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. View Full-Text
Keywords: demand response; distributed generation; smart power utilization; task-continuous load demand response; distributed generation; smart power utilization; task-continuous load

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Wang, J.; Fang, K.; Dai, J.; Yang, Y.; Zhou, Y. Optimal Scheduling of Industrial Task-Continuous Load Management for Smart Power Utilization. Appl. Sci. 2017, 7, 281.

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