International Journal of Low-Carbon Technologies, Journal Year: 2024, Volume and Issue: 19, P. 2626 - 2637

Published: Jan. 1, 2024

Abstract The current scenario sees the potential emergence of challenges such as power imbalances and energy dissipation upon incorporation distributed photovoltaic (PV) systems into distribution networks, impacting quality economic viability. To address these identified risks, this study introduces an innovative combinatorial search algorithm designed to autonomously derive optimal planning strategies for networks. process begins by establishing distinct models PVs network systems, followed application align generate relevant Pareto datasets multi-objective positioning criteria. By strategically combining optimizing existing solutions bolster network’s load-carrying capacity, strategy is progressively refined under guidance multiple objective constraints. Subsequent multiphase simulation experiments validate efficacy our approach in minimizing losses when compared analogous methodologies. integration derived through method showcase outstanding performance reducing losses, conducting steady-state voltage safety assessments, installation capacity utilization rates, enhancing returns, thus emphasizing substantial facilitating seamless

Language: Английский