In order for an electrical network to operate economically and efficiently, the generation from various sources must be optimally scheduled. With all important system characteristics, including generator outputs, the optimal power flow (OPF )problem is built and resolved to give best outcomes. The network might contain both conventional and non-conventional energy generators, such as wind and photovoltaic solar panels. Traditional optimal power flow (OPF) is known as complicated non-linear issuance with non-linear restriction. By integrating the irregular nature of both solar and wind energy, the complicated nature will be increased. In this paper, a method for determining the optimal power flow in a system that includes stochastic wind and solar generation as well as traditional thermal power sources is proposed. For intermittent renewable sources, the objective function takes into account reserve costs for overestimation and penalty costs for underestimation. Additionally, for some case studies, the emission factor is incorporated in the objectives. SHADE with linear population size reduction algorithm is used to solve the optimization problem. The superiority of feasible solutions constraints usable technique is merged on the L-SHADE algorithm to handle the problem's constraints. The algorithm that has been merged and created in this way produces optimal results that satisfy all network constraints.