Optimal power flow (OPF) plays a key role in power systems planning and operation. Nevertheless, most of the published papers in the literature focus on attaining the optimal operation point, whilst proper control adjustment sequences to lead the system from an initial to the optimal operating points remain unaccounted for. In this context, this paper relies on proposing an approach to define control adjustment sequences determined by the optimal reactive dispatch problem via Lagrange multiplier sensitivity analysis. This approach is methodologically founded on the reformulation of the OPF problem in terms of optimal control adjustments rather than optimal control values, resolutions of the associated dual problem to determine the Lagrange multiplier path from the initial to the optimal operating points, and Newton's load flow calculations. At each iteration of the proposed approach, the Lagrange multipliers associated with each control adjustment are determined by the resolution of a system of algebraic equations derived from the KKT necessary optimality conditions. This sensitivity analysis pondered by the magnitude of the control adjustments indicates which control adjustment must be realized, and the iterative process continues until all adjustments have been carried out. To validate this proposal, numerical results with IEEE test-systems with up to 300 buses are carried out. These results illustrate, thus, the efficiency, the robustness and, more importantly, the effectiveness of the proposed methodology.