Distribution LMP-based Transactive Day-ahead Market with Variable Renewable Generation

• DOI: 10.48550/arxiv.1904.08998
• Publication Date: 2019-01-01
• Authors: M. Nazif Faqiry; Lawryn Edmonds; Hongyu Wu
• Keywords: Transactive memory

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