Predictive Control in LV Networks: A 3-Stage Approach for Smart Sustainable Buildings

In Pursuit of New Real-Time Ancillary Services Providers: Hidden Opportunities in Low Voltage Networks and Sustainable Buildings

“…The work is not solely concerned with conceptualization and rigorous mathematical (re)formulations, but also with a) ensuring that DSO and involved customers (SSBs) are sharing responsibilities, and b) designing a scalable and feasible methodology. By significantly extending our previous works [3], [29] (scalability, detailed SSB models, conceptualization-rigorous formulation/reformulation of LV2MV AS, multiple customer types), this work offers the following major contributions:…”

“…Besides comprising a variety of smart distributed energy resources (DERs), SSBs balance out their yearly consumption and onsite renewable production, constituting nearly zero energy (nZE) entities. Aside from the undeniable environmental and customer benefits, SSBs can also drastically increase the available flexibility in distribution systems (DS), to combat congestions and voltage issues [2], [3]. However, as that flexibility grows, DS can at times end up with significant amounts of "inert" flexibility.…”

“…This work i) introduces detailed MINLP models of Swiss and Belgian AS schemes and their re-formulation to MILP equivalents, and ii) explores their behavior and impact in LV settings. • Under the umbrella of "comprehensive performance assessment", this work includes a) a preliminary analysis of its robustness against communication failures, b) an investigation of the pros and cons of linearizations within the scope of the proposed approach, and c) a comparison to the approach's predecessor in [3]. Placing aside the technical novelty, a fundamental objective is to contribute, however much, to sparking the discussion and research initiative towards the development of novel and more sophisticated MV-LV cooperation frameworks.…”

Distributed Sequential Optimal Power Flow under Uncertainty in Power Distribution Systems: A Data-driven Approach

“…The distributed optimization approach for the SOCP formulation in particular, is analyzed in [9] and [10]. Such deterministic-optimization based approaches can readily form the component of an adaptive algorithm, where the deterministic look-ahead optimization is re-solved at each decision stage using updated estimations for uncertain parameters, as in [11].…”

“…Each resource can control its dispatch profile x n ≜ (x n,t ) t∈T over the horizon T , at a cost given by the resource's cost function c n (x n ). In particular, the cost functions for generators take the form (11) where g n relates to the fuel cost, and p t is the wholesale market price (a random variable), yielding generation revenues.…”