Probabilistic method for selection of power line wire type and cross-section

Abstract

The paper presents a comparison of two methodologies for selection of overhead line wire type and cross-section considering market conditions. All existing methodologies which are used to determine optimal cross-section for transmission line wires can be divided into two categories: deterministic and probabilistic (stochastic). This paper presents a new approach for stochastic optimization and compares it to simplified deterministic approach. The proposed method minimizes total annual exploitation and construction costs of the transmission line based on utilization of existing large and easy accessible databases (electricity prices, ambient temperature, load records). The use of the Monte Carlo method's base and above-mentioned databases allows designing a user-friendly algorithm to solve this problem.