2016/05/19 by Hesamoddin Marzooghi, Shariq Riaz, Marzooghi, Hesamoddin +7
Engineering · #Electric Vehicles and Infrastructure #FOS: Mathematics #Microgrid Control and Optimization #Optimization and Control (math.OC) #Smart Grid Energy Management
paper · pdf · doi:10.48550/arxiv.1605.05833
openalex publication_date 2016/05/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The increasing uptake of residential PV-battery systems is bound to\nsignificantly change demand patterns of future power systems and, consequently,\ntheir dynamic performance. In this paper, we propose a generic demand model\nthat captures the aggregated effect of a large population of price-responsive\nusers equipped with small-scale PV-battery systems, called prosumers, for\nmarket simulation in future grid scenario analysis. The model is formulated as\na bi-level program in which the upper-level unit commitment problem minimizes\nthe total generation cost, and the lower-level problem maximizes prosumers'\naggregate self-consumption. Unlike in the existing bi-level optimization\nframeworks that focus on the interaction between the wholesale market and an\naggregator, the coupling is through the prosumers' demand, not through the\nelectricity price. That renders the proposed model market structure agnostic,\nmaking it suitable for future grid studies where the market structure is\npotentially unknown. As a case study, we perform steady-state voltage stability\nanalysis of a simplified model of the Australian National Electricity Market\nwith significant penetration of renewable generation. The simulation results\nshow that a high prosumer penetration changes the demand profile in ways that\nsignificantly improve the system loadability, which confirms the suitability of\nthe proposed model for future grid studies.\n