Optimizing Industrial Process Flow for Energy Cost Reduction through Demand-Side Management

Citation

Lok, Jia Jun and Tan, Wooi Nee and Yip, Sook Chin and Gan, Ming Tao (2020) Optimizing Industrial Process Flow for Energy Cost Reduction through Demand-Side Management. In: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). IEEE, pp. 1-6. ISBN 978-1-7281-7455-6

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Abstract

Energy demand has grown rapidly over the past decades and will continue to grow in the future. The rise in energy demand is primarily due to industrialization and the evolution from a conventional to a smart-grid paradigm. Therefore, the future energy grids have to be redesigned in order to adapt to the ever-growing global energy demand and achieve environmental goals. Demand-side management (DSM) is a promising solution to these challenges and can significantly improve the financial performances and reliability of electrical power systems. This paper presents a new DSM solution for industrial users in a smart grid. The goal of the load scheduling model is to minimize the operational cost of the industrial users while helping the utility providers to reshape the peak load profile. The proposed linear programming model allows the users to preset the target demand of end-product throughout the time horizon while monitoring the rescheduling of workforce so that the operation cost can be reduced. Besides, users have the flexibility to set constraints to avoid the maximum demand penalty imposed by the utility company. Simulation results show that DSM is able to reduce the peak to-average ratio of the total power demand, as well as industrial user's electricity charges. The proposed model is feasible and realistic to be applied in the industry sectors since many practical constraints are included.

Item Type: Book Section
Uncontrolled Keywords: Smart power grids
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3001-3521 Distribution or transmission of electric power
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 19 Oct 2020 21:31
Last Modified: 19 Oct 2020 21:31
URII: http://shdl.mmu.edu.my/id/eprint/7789

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