Optimization of Power and New Energy Collaborative Planning Based on Linear Programming Algorithm

Abstract Currently, there are problems in the planning of power and new energy systems, such as low energy utilization efficiency and poor algorithm convergence. Traditional power planning methods often overlook the integration and utilization of new energy. Therefore, this article applied linear programming algorithm to collaborative planning to solve the current problems. This article studied the collaborative planning optimization problem of power supply and new energy based on linear programming algorithm. Firstly, an energy system model was established that includes both traditional and new energy sources, taking into account various constraints such as power balance. Then, the linear programming algorithm was used to optimize and solve the model, in order to achieve collaborative planning between power sources and new energy. After optimization and solution, the algorithm proposed in this article has achieved an energy utilization rate of 91%-98%, which can achieve efficient operation of the energy system and reduce environmental loads.