Robust security constrained optimal power flow considering load and wind power generation uncertainties by applying Taguchi method

With the increased use of wind power in power systems, the necessity of revision of conventional deterministic approaches is indisputable. Presenting new and effective methods based on uncertainty modeling is greatly emphasized. In this paper, a new method for investigating the robust security constrained-optimal power flow (RSCOPF) is proposed, which is not only able to comply with security constraints but also robust to the uncertainty of electrical demand loads and wind power generation. The proposed approach is based on the definition of uncertain loads and wind power generation and uses the Taguchi orthogonal array technique (TOAT), for the first time, a technique which is adopted to solve the RSCOPF by applying the alternating current power flow (ACPF) and particle swarm optimization (PSO) algorithm. Also, some security analyses are presented to introduce the most critical lines and generation units whose loss imposes the highest operating costs on the network. The case study simulation on the IEEE 14-bus system using MATLAB software demonstrates the ability of the proposed algorithm.