확률 최적화 기반의 배전망 내 MVDC 및 에너지 저장 설비 간 최적 협조 운영 전략

Abstract

The research presents a stochastic optimization strategy for medium-voltage dc (MVDC) systems aimed at regulating power flows within distribution networks (DNs) under the coordination of a battery energy storage system (BESS). The study accounts for uncertainties arising from prediction errors in PV generators and load demand by employing a distributionally robust chance-constrained optimization approach. To cooperatively optimize the operation of MVDC systems and BESS in DNs, we stochastically relax reliability constraints on bus voltage, thereby maximizing the cost-effectiveness of the DNs. Numerical simulations demonstrate that by reducing the conservativeness of reliability constraints, the distribution system operator can achieve greater economic efficiency in electricity imports.