M. Nazif Faqiry

M. Nazif Faqiry, Ahmad Khaled Zarabie, Fatehullah Nassery et al.

In this paper, we study a day ahead double energy auction in a distribution system involving dispatchable generation units, renewable generation units supported by battery storage systems(BSSs), fixed loads, price responsive loads, and supply from the Whole Sale Market(WSM) at Locational Marginal Price(LMP). The auction is implemented within a Distribution System Operator (DSO) premises using Mixed Integer Linear Programming (MIP). The proposed auction is cleared at the Distribution LMP (DLMP) and is observed to be weakly budget balanced if no penalty is applied for DSO's deviation from originally committed supply from the WSM. Furthermore, the dynamics of LMP and DLMP, and their effect on distribution market participants scheduled quantities as well as the WSM supply to the distribution system is investigated.

M. Nazif Faqiry, Lawryn Edmonds, Hongyu Wu

The largescale penetration of variable renewable energy (VRE) and their generation uncertainties poses a major challenge for the distribution system operator (DSO) to efficiently determine the day-ahead real and reactive power distribution locational marginal prices (DLMPs) and their underlying components. In this paper, we propose a DLMP-based transactive day-ahead market (DAM) model, that in addition to energy and losses, determines prices for creating congestions and voltage violations under peak-load and large-scale stochastic VRE penetration conditions. To account for the VRE uncertainties and the effect of their large-scale penetration on the DLMP components and distributed energy resources' (DERs) schedules, we propose a novel data-driven probability efficient point (PEP) method that computes the optimal total VRE generation at different confidence (risk) levels to incorporate in the proposed transactive DAM model. We perform a wide range of simulation studies on a modified IEEE 69-node system to validate the proposed methods and demonstrate the effect of peak load conditions, large-scale VRE penetration, and inclusion of battery energy storage systems (BESS) on the resulting positive or negative real and reactive power DLMPs and their components.