Optimization study of cable wiring scheme for photovoltaic power plant based on TS algorithm in the era of low-carbon development

As an important clean energy project, the optimization of the construction and operation of photovoltaic (PV) power plants is crucial in the context of the global active promotion of low-carbon development.This paper focuses on the optimization of cable wiring scheme for PV power plants based on the taboo search (TS) algorithm.A mathematical model is established by comprehensively considering the constraints such as power loss objective and tidal current calculation in the wiring optimization process.The wild dog optimization algorithm is improved using the Levy light algorithm, and the initialization phase of the taboo search algorithm is improved by the improved wild dog optimization algorithm, and the established cabling optimization model is solved using the improved taboo search algorithm (LDOA-TS).The experimental results show that the LDOA-TS algorithm has a signi icant performance advantage over other algorithms in the model solving process.At the same time, the simulation results obtained from the optimization model in this paper are basically consistent with the actual wiring pattern under different working conditions.And through the model of this paper for cable optimization wiring compared to the original wiring scheme in the point cable length and power loss were reduced by 30.30% and 49.95%, to meet the constraints at the same time to effectively achieve the model objectives, and has obvious economic bene its, in line with the needs of the low-carbon era of photovoltaic power plant construction and operation.