Research on the Optimal Operation of the Micro-grid with Natural Gas Power Generation

Abstract

The research on the cooperative operation of natural gas and new energy power generation is beneficial to improve the absorption ratio of wind and photoelectric. However, the micro-grid system with new energy resources and natural gas still has the problem of low accuracy of the scheduling algorithm. In order to solve this problem, a micro-grid collaborative optimization operation model with the goal of system economic operation, including photovoltaic power generation, energy storage system and natural gas power generation is established. Aiming at the problem of low accuracy of the model solving algorithm, the search strategy and speed formula of the wolf group algorithm were improved, and the wolf-particle group hybrid algorithm combining wolf group search and elimination mechanism is proposed. The wolf-particle swarm hybrid algorithm speeds up the convergence of the model and improves the optimization accuracy of the algorithm. Finally, the model is built and verified. The hybrid improved algorithm solves the micro-grid model and shows that the improved algorithm can improve the synergy between the systems in the micro-grid and reduce the impact of micro-grid fluctuation on the distribution network. It has a good application prospect.