Planificación de Recursos Energéticos Distribuidos de una Red de Distribución Activa Desde una Perspectiva Resiliente

Abstract

Context: The increase on the frequency of high impact with low probability of occurrence phenomena demands electric systems to implement energetic resilience solutions to avoid unexpected disruptions on the energy supply for final users. Methodology: This paper proposes a study to carry out the optimal planning of distributed energy resources in an active distribution network from a resilient perspective on the IEEE 34 system testing two critical scenarios on multiple failures and short and long durations. The investigation integrates electric modeling, an optimization problem and the use of Energy Not Supplied to mitigate vulnerabilities on critical infrastructure. A simulator was developed using Python with OpenDSS to model the IEEE 34 system, using multi-objective optimization on the selected distributed energy resources and the optimization method SLSQP and the selection of critic windows using the following criteria: maximum demand, minimum solar generation and critical combination. Results: Two high impact with low probability of occurrence scenarios were simulated: The first one during 6 hours and the second one during 120 hours resulting in the calculation of costs (USD) and Energy Not Supplied (kWh) where the main results show that the designed methodology makes the system able to face every scenario, as well as proving that planning distributed energy resources decreases the costs on the selected system during long durations. Conclusions: The study demonstrates that resilient solutions demand extensive battery energy storage, the selection of critical windows reduces more Energy Not Supplied than using windows with demand peaks only. The developed code shows a quantitative standard to prioritize investments on microgrids facing high impact low probability phenomena, balancing resilience costs.