Improving power distribution networks with dwarf mongoose optimization for improved photovoltaic incorporation in rural-urban settings

Abstract This paper aimed to assess new connotations and characteristics of power distribution networks in new situations like integrating photovoltaic (PV) systems. Power system emission reduction is an ongoing subject of discourse, and solar energy production using PV is gaining popularity. Centralized and unidirectional systems, nevertheless, provide difficulties. An investigation is expected to comprehend the network’s design and PV integration capacity’s (PV-IC’s) responsiveness to subsequent generations.With an emphasis on low and medium-voltage networks, the paper presents a unique dwarf mongoose optimization (DMO)approachfor developing efficient network configurations. It analyzes the effect of network configuration on PV-IC.This study is experimented with MATLAB/Simulink platform based on the DMO technique. Different PV system numbers and peak powers, together with alternate providing substations, have been modeled for a certain set of load locations. The load time series computed shows rural-urban zones, and the proposed DMO is implemented on several topological generations. The computed results indicate that network topologies must be changed to accommodate raised solar energy production and PV-IC, with rural regions attaining up to 8.2 kW using TF (+). Our proposed DMO approach surpassed alternatives, with rural regions having a higher PV-based load of 190 kW compared to 120 kW in urban areas. Voltage control tactics, like RPC and Curt, benefit up to 55% of rural customers versus 15% in urban areas. Policy changes for household PV incorporation may be needed to maximize solar energy use.