Integration of Sustainable Manufacturing Systems into Smart Grids with High Penetration of Renewable Energy Resources
Due to global climate change, many energy sectors are witnessing various efforts to make their systems more efficient and less pollutant. Demand response has been considered one of such efforts in power system operations. Industrial consumers of electricity, including manufacturing plants, have been attractive targets for demand response due to their large energy consumption scales. The idea of integrating manufacturing plants as a critical demand response resource in the context of smart grids with high penetration of renewable resources has drawn attention from both academia and industry. However, adjusting electricity demand considering the consumer's constraints and objectives is critical for a successful and sustainable demand response program. Therefore, in this paper, the feasibility of such an integration considering the plants' constraints is analyzed. The impact of demand response on smart manufacturing plants in a power system with high penetration of renewable energy resources is studied through a numerical case study, simulated on the modified IEEE 39-bus test system. The results show that overgeneration expected to occur especially with high solar generation can be mitigated with a large number of smart manufacturing systems, scheduled with the price signals.
J. Joo et al., "Integration of Sustainable Manufacturing Systems into Smart Grids with High Penetration of Renewable Energy Resources," Proceedings of the 8th Annual IEEE Green Technologies Conference (2017, Kansas City, MO), vol. 2016-April, pp. 12-17, Institute of Electrical and Electronics Engineers (IEEE), Apr 2016.
The definitive version is available at https://doi.org/10.1109/GreenTech.2016.10
8th Annual IEEE Green Technologies Conference, GreenTech 2016 (2016: Apr. 6-8, Kansas City, MO)
Electrical and Computer Engineering
Engineering Management and Systems Engineering
Intelligent Systems Center
Keywords and Phrases
Design of Experiments (DOE); Electricity Consumption; Environmental Impact; Industrial Ecology; Product Surface Quality; Response Optimization
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
08 Apr 2016