In this section
@inproceedings{Giannelos:2016:10.1109/ENERGYCON.2016.7514126,
author = {Giannelos, S and Konstantelos, I and Strbac, G},
doi = {10.1109/ENERGYCON.2016.7514126},
publisher = {IEEE},
title = {Stochastic optimisation-based valuation of smart grid options under firm DG contracts},
url = {http://dx.doi.org/10.1109/ENERGYCON.2016.7514126},
year = {2016}
}
TY - CPAPER
AB - Under the current EU legislation, Distribution NetworkOperators (DNOs) are expected to provide firm connections to newDG, whose penetration is set to increase worldwide creating theneed for significant investments to enhance network capacity.However, the uncertainty around the magnitude, location andtiming of future DG capacity renders planners unable to accuratelydetermine in advance where network violations may occur. Hence,conventional network reinforcements run the risk of assetstranding, leading to increased integration costs. A novel stochasticplanning model is proposed that includes generalized formulationsfor investment in conventional and smart grid assets such asDemand-Side Response (DSR), Coordinated Voltage Control (CVC)and Soft Open Point (SOP) allowing the quantification of theiroption value. We also show that deterministic planning approachesmay underestimate or completely ignore smart technologies.
AU - Giannelos,S
AU - Konstantelos,I
AU - Strbac,G
DO - 10.1109/ENERGYCON.2016.7514126
PB - IEEE
PY - 2016///
TI - Stochastic optimisation-based valuation of smart grid options under firm DG contracts
UR - http://dx.doi.org/10.1109/ENERGYCON.2016.7514126
UR - http://hdl.handle.net/10044/1/37405
ER -