TY - GEN
T1 - Assessing Trade-offs Between Water, Emissions, and Cost in Multi-objective Optimal Power Flow
AU - Kravits, Jacob
AU - Baker, Kyri
AU - Kasprzyk, Joseph
AU - Stillwell, Ashlynn S.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The emissions and water use of power systems have been independently incorporated into sub-hourly operational timescale problems. However, fewer studies have proposed methods that allow for the direct incorporation of emissions, water use, and cost into sub-hourly grid operations. Therefore, this study proposes a multi-objective formulation of the optimal power flow problem where emissions, cost, thermoelectric power plant water consumption, and thermoelectric power plant water withdrawal are all to be minimized. Such a multi-objective formulation allows grid operators to (1) quantify the degree to which cost, water, and emissions impact one another, as well as (2) observe what new operational policies are introduced when compared to traditional cost-only OPF formulations. This multi-objective formulation does not require reformulation into a single objective equivalent, but rather is a tool to show trade-offs between objectives. Insights into the multi-objective trade-offs of power systems can ultimately help identify within-system vulnerabilities, as well as quickly compare vulnerabilities across power systems. We demonstrate our methods on the IEEE 30-bus system.
AB - The emissions and water use of power systems have been independently incorporated into sub-hourly operational timescale problems. However, fewer studies have proposed methods that allow for the direct incorporation of emissions, water use, and cost into sub-hourly grid operations. Therefore, this study proposes a multi-objective formulation of the optimal power flow problem where emissions, cost, thermoelectric power plant water consumption, and thermoelectric power plant water withdrawal are all to be minimized. Such a multi-objective formulation allows grid operators to (1) quantify the degree to which cost, water, and emissions impact one another, as well as (2) observe what new operational policies are introduced when compared to traditional cost-only OPF formulations. This multi-objective formulation does not require reformulation into a single objective equivalent, but rather is a tool to show trade-offs between objectives. Insights into the multi-objective trade-offs of power systems can ultimately help identify within-system vulnerabilities, as well as quickly compare vulnerabilities across power systems. We demonstrate our methods on the IEEE 30-bus system.
KW - emissions
KW - multi-objective
KW - optimal power flow
KW - trade-offs
KW - water
UR - http://www.scopus.com/inward/record.url?scp=85141547580&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85141547580&partnerID=8YFLogxK
U2 - 10.1109/PESGM48719.2022.9917158
DO - 10.1109/PESGM48719.2022.9917158
M3 - Conference contribution
AN - SCOPUS:85141547580
T3 - IEEE Power and Energy Society General Meeting
BT - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
PB - IEEE Computer Society
T2 - 2022 IEEE Power and Energy Society General Meeting, PESGM 2022
Y2 - 17 July 2022 through 21 July 2022
ER -