Optimizing the Energy Distribution of Multi-Microgrids in Plateau Alpine Areas Based on the Parrot Optimization Algorithm

The plateau alpine area faces challenges such as remote location, limited fossil energy resources, and unreliable power supply. However, these regions have abundant renewable energy sources. In contrast to traditional single microgrids, an interconnected multi-microgrid system can significantly enhance the integration of renewable energy sources and improve system reliability and economic efficiency. To ensure stable operation and coordinate power sharing within and between networks, a proposed energy optimization scheduling strategy for the plateau alpine area is based on the parrot optimization (PO) algorithm. This strategy takes into account the demand response compensation cost, stepped carbon emission reduction transaction cost, energy storage battery charging and discharging, energy interaction between microgrids, energy interaction between micro grids and power grids, and system power balance. It aims to minimize the comprehensive operation cost of the system. To achieve this, an optimization scheduling model of multi-microgrid system in plateau alpine area is developed, utilizing the PO algorithm to iteratively determine the output of each unit, interaction electricity quantity, and comprehensive operating costs. The simulation analysis results demostrate that the proposed method can effectively reduce the integrated operating costs of multi-micro grid systems in plateau alpine areas, and the total cost of grid-connected operation is 34.8% lower than that of islanded operation and appropriately regulates the output of each energy unit within the system.