SIMULATION-BASED INVESTIGATIONS ON ELECTRICITY DEMAND RESPONSE FOR MANUFACTURING SYSTEMS TO MITIGATE OVERGENERATION DUE TO HIGH PENETRATION OF RENEWABLE SOURCES
DEStech Transactions on Engineering and Technology Research, Issue: icpr, Page: 226-231
2017
- 2Citations
- 8Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations2
- Citation Indexes2
- CrossRef2
- Usage8
- Abstract Views8
Article Description
Electricity demand response is an effective tool that can mitigate overgeneration due to high penetration of renewable sources in electricity grid by providing additional desired electricity consumption to match generation. In this paper, we propose a simulation based methodology to investigate the potential benefits by participating overgeneration mitigation oriented demand response program for manufacturers. A simulation platform is built so that various participation strategies of manufacturers can be examined and the effectiveness regarding cost reduction can be compared. An intuitive demand response strategy considering the utilization of onsite generation system is tested. Sensitivity analysis considering the effects of the variations due to production system parameters, such as machine rated power, machine production rate, etc., and demand response program parameters, such as incentive, penalty, etc., on the overall cost is conducted. The results are analyzed and some initial insights are discussed regarding the optimal control strategy for manufacturers when participating such overgeneration mitigation oriented demand response program.
Bibliographic Details
http://www.dpi-journals.com/index.php/dtetr/article/view/17613; http://dx.doi.org/10.12783/dtetr/icpr2017/17613; https://scholarsmine.mst.edu/engman_syseng_facwork/760; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=1760&context=engman_syseng_facwork; https://dx.doi.org/10.12783/dtetr/icpr2017/17613; https://www.dpi-journals.com/index.php/dtetr/article/view/17613
DEStech Publications
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know