Integration of Sustainable Manufacturing Systems into Smart Grids with High Penetration of Renewable Energy Resources

Abstract

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.

Meeting Name

8th Annual IEEE Green Technologies Conference, GreenTech 2016 (2016: Apr. 6-8, Kansas City, MO)

Department(s)

Electrical and Computer Engineering

Second Department

Engineering Management and Systems Engineering

Research Center/Lab(s)

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)

1088-1980

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

08 Apr 2016

Link to Full Text

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