Study on the economic current density and selection optimization of aggregate transmission lines of wind-solar power station based on τ new algorithm

In view of the significant footprint and high cost of large-scale new energy collection transmission lines, as well as the different economic conditions and power generation methods, the economic current density curves on the traditional specifications and standards are no longer suitable for the decision-making of the economic cross-section of the current collection transmission lines, and the purpose of this study is to optimize the selection of their economic cross-sections to reduce costs and improve energy efficiency. Based on the statistical analysis of the wind and solar power generation output of typical wind and solar power stations, and considering the complementarity of the wind and solar output periods of new energy power stations, a new calculation method is proposed to determine the annual maximum load loss hours τ of wind and solar power gathering stations, and the applicable scenarios of the calculation method are improved. Through the in-depth analysis of the cross-section coefficient and other factors affecting the selection of economic cross-section, the total cost model of the whole life cycle was constructed. The genetic algorithm is used to optimize the solution process of economic current density. Finally, combined with a new energy power station, a case verification is carried out, and the scientific and reasonable economic current density value of the collection line of the power station is obtained. Compared with the traditional selection scheme, the economic current density method proposed in this paper not only meets the technical requirements, but also has more advantages in economic benefits. The method proposed in this paper provides an important reference value for the selection of new energy collection transmission lines.