Optimal Power Flow with Renewable Energy Sources Using Grey Wolf Optimizer

This paper studies an electrical network that combines traditional fossil fuel generators with intermittent generating technologies derived from renewable energy sources, such as solar or wind power. The electrical network's stochastic power output is provided by photovoltaic (PV) technology. by using the OPF (optimal power flow) issue. Various frameworks representing different operational criteria are designed and optimized to achieve this goal, such as minimizing the cost of producing fuel and maintaining the lowest possible levels of generating emissions, among other things. Finding the best answer is the goal of the OPF analysis, which is crucial for planning, energy management, and power system operation of nonlinear algebraic equations with meeting operational constraints. However, the problem's complexity is increased by the intermittent mix of wind and solar energy. This research investigates the use of the Grey Wolf Optimizer (GWO) algorithm to solve the Optimal Power Flow (OPF) problem in power systems incorporating renewable energy sources.