A Power Generating Distribution Planning Using Swarm Moth-flame Optimization

Abstract

Power generating distribution planning (PDP) is a critical component of the power system's financial performance. An effective PDP model has been constructed by carefully considering various system operation restrictions typical of multi-constrained nonlinear optimization problems. This work suggests solving the PDP model based on a new swarm-based technique called moth flame optimization (MFO) to achieve energy-saving and cost consumption reduction. In the experimental section, the IEEE-bus benchmark test systems are used to verify the performance of the proposed scheme system. The results show that the proposed scheme can solve the power system PLP problem with good robustness and significant economic benefits.