TY - GEN
T1 - Market equilibrium of distribution network with alternative energy resources
AU - Mojdehi, Mohammad Nikkhah
AU - Ghosh, Prasanta
AU - Wilcoxen, Peter
PY - 2013
Y1 - 2013
N2 - Electricity distribution networks are rapidly becoming more complex. Distributed generation (DG) is increasing and some DG units are intermittent renewables such as solar or wind. Moreover, plug-in electric vehicles (EVs) are expected to be deployed in large numbers over the next decade. These changes present opportunities as well as challenges for reliable and efficient operation of distribution networks. In this paper, we present a new stochastic model in which market clearing prices are endogenously determined. Potential suppliers include the main grid supply, a range of different DG technologies within the distribution network, and EVs operated in vehicle-to-grid (V2G) mode. We allow for supply uncertainties for renewable resources and also allow for uncertainties in EV availability for charging and discharging. Using stochastic optimal power flow (SOPF) based on monte-carlo simulation, we analyze the effects of operating distributed energy resources (DERs) on social welfare considering emission taxes.
AB - Electricity distribution networks are rapidly becoming more complex. Distributed generation (DG) is increasing and some DG units are intermittent renewables such as solar or wind. Moreover, plug-in electric vehicles (EVs) are expected to be deployed in large numbers over the next decade. These changes present opportunities as well as challenges for reliable and efficient operation of distribution networks. In this paper, we present a new stochastic model in which market clearing prices are endogenously determined. Potential suppliers include the main grid supply, a range of different DG technologies within the distribution network, and EVs operated in vehicle-to-grid (V2G) mode. We allow for supply uncertainties for renewable resources and also allow for uncertainties in EV availability for charging and discharging. Using stochastic optimal power flow (SOPF) based on monte-carlo simulation, we analyze the effects of operating distributed energy resources (DERs) on social welfare considering emission taxes.
KW - Distributed Generation
KW - Electric Vehicle
KW - Gas Emission
KW - Monte-Carlo Simulation
KW - Renewable Energy
KW - Stochastic Modeling
UR - http://www.scopus.com/inward/record.url?scp=84893786950&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893786950&partnerID=8YFLogxK
U2 - 10.1109/SEGE.2013.6707900
DO - 10.1109/SEGE.2013.6707900
M3 - Conference contribution
AN - SCOPUS:84893786950
SN - 9781479927753
T3 - IEEE International Conference on Smart Energy Grid Engineering, SEGE 2013
BT - IEEE International Conference on Smart Energy Grid Engineering, SEGE 2013
T2 - 2013 IEEE International Conference on Smart Energy Grid Engineering, SEGE 2013
Y2 - 28 August 2013 through 30 August 2013
ER -