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Demand Response Algorithms to Improve Electric Power System Stability Margins

dc.contributor.authorYao, Mengqi
dc.contributor.authorKoorehdavoudi, Kasra
dc.contributor.authorRoy, Sandip
dc.contributor.authorMolzahn, Daniel
dc.contributor.authorHiskens, Ian
dc.contributor.authorMathieu, Johanna
dc.date.accessioned2019-07-15T15:59:07Z
dc.date.available2019-07-15T15:59:07Z
dc.date.issued2015-09-01
dc.identifier.urihttps://hdl.handle.net/2027.42/150104
dc.descriptionThe project outputs summarize all the publications, talks, and codes we accomplished under this NSF funding #ECCS-1549670. In the project, we pose different optimization problems to determine the optimal dispatches of demand responsive loads to improve different kinds of power system stability. Code.zip is in Deep Blue Data at https://deepblue.lib.umich.edu/data/concern/data_sets/7h149p88r and also listed in the dc.relation field of the full item record.en_US
dc.description.sponsorshipThis work was supported by NSF Grant ECCS-1549670en_US
dc.language.isoen_USen_US
dc.relationhttps://deepblue.lib.umich.edu/data/concern/data_sets/7h149p88r
dc.subjectDemand Responseen_US
dc.subjectOptimal Power Flowen_US
dc.subjectPower System Stabilityen_US
dc.titleDemand Response Algorithms to Improve Electric Power System Stability Marginsen_US
dc.typeConference Paperen_US
dc.typePosteren_US
dc.typePresentationen_US
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbtoplevelEngineering
dc.contributor.affiliationumElectrical Engineering and Computer Science, Department ofen_US
dc.contributor.affiliationotherSchool of Electrical and Computer Engineering, Georgia Institute of Technologyen_US
dc.contributor.affiliationotherSchool of Electrical Engineering & Computer Science, Washington State Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/1/Allerton_2017_loadmodel.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/2/CDC2018_Yao_SNB.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/3/IREP2017_small_signal_stability.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/4/Powertech2017.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/5/Mengqi_Journal__TCNS.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/7/JMathieu_-_MSU_2018.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/8/DMolzahn_-_FERC_Workshop_2017.ppt
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/9/DMolzahn_-_INFORMS_2017.ppt
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/10/JMathieu_-_DTU_2017.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/11/JMathieu_-_Stanford_2018.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/12/JMathieu_-_UVM_2018.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/13/JMathieu-_Allerton_2017.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/14/MYao_-_Powertech_2017.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/15/MYao_-_CDC_2018.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/16/MYao_-_DTU_2019.pptx
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/17/Yao_Mengqi_Poster.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/18/PEN_Yao_Mengqi_EGS2017Poster.pdf
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/150104/19/MY_poster.pdf
dc.description.filedescriptionDescription of Allerton_2017_loadmodel.pdf : Conference Paper - The impact of load models in an algorithm for improving voltage stability via demand response
dc.description.filedescriptionDescription of CDC2018_Yao_SNB.pdf : Conference Paper - Improving Power System Voltage Stability by Using Demand Response to Maximize the Distance to the Closest Saddle-Node Bifurcation
dc.description.filedescriptionDescription of IREP2017_small_signal_stability.pdf : Conference Paper - Using demand response to shape the fast dynamics of the bulk power network
dc.description.filedescriptionDescription of Powertech2017.pdf : Conference Paper - Using demand response to improve power system voltage stability margins
dc.description.filedescriptionDescription of Mengqi_Journal__TCNS.pdf : Journal Paper - An Optimal Power Flow Approach to Improve Power System Voltage Stability Using Demand Response
dc.description.filedescriptionDescription of JMathieu_-_MSU_2018.pdf : Talk (MSU) - An Optimal Power Flow Approach to Improve Power System Voltage Stability using Demand Response
dc.description.filedescriptionDescription of DMolzahn_-_FERC_Workshop_2017.ppt : Talk (FERC Workshop) - A Multi-Period OPF Approach to Improve Voltage Stability using Demand Response
dc.description.filedescriptionDescription of DMolzahn_-_INFORMS_2017.ppt : Talk (INFORMS) - A Multi-Period OPF Approach to Improve Voltage Stability using Demand Response
dc.description.filedescriptionDescription of JMathieu_-_DTU_2017.pptx : Talk (DTU) - Demand response algorithms to improve electric power system stability margins
dc.description.filedescriptionDescription of JMathieu_-_Stanford_2018.pptx : Talk (Stanford) - A Multiperiod Optimal Power Flow Approach to Improve Power System Voltage Stability using Demand Response
dc.description.filedescriptionDescription of JMathieu_-_UVM_2018.pptx : Talk (UVM) - Coordinating Distributed Energy Resources Without Breaking the Bank, or the Grid
dc.description.filedescriptionDescription of JMathieu-_Allerton_2017.pptx : Talk (Allerton) - The impact of load models in an algorithm for improving voltage stability via demand response
dc.description.filedescriptionDescription of MYao_-_Powertech_2017.pptx : Talk (Powertech) - Using demand response to improve power system voltage stability margins
dc.description.filedescriptionDescription of MYao_-_CDC_2018.pptx : Talk (CDC) - Improving Power System Voltage Stability by Using Demand Response to Maximize the Distance to the Closest Saddle-Node Bifurcation
dc.description.filedescriptionDescription of MYao_-_DTU_2019.pptx : Talk (DTU) - A Multi-Period OPF Approach to Improve Voltage Stability using Demand Response
dc.description.filedescriptionDescription of Yao_Mengqi_Poster.pdf : Poster - Using demand response to improve power system voltage stability margins
dc.description.filedescriptionDescription of PEN_Yao_Mengqi_EGS2017Poster.pdf : Poster - The impact of load models in an algorithm for improving voltage stability via demand response
dc.description.filedescriptionDescription of MY_poster.pdf : Poster - Using Distributed Energy Resources to Improve Power System Stability and Voltage Unbalance
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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