Optical storage micro-grid energy scheduling method based on adaptive mutation particle swarm optimization

• Main Authors: NIE WENLONG, WU CAIXIA, ZUO YINGFEI, CAO HUIWEN, GUO XIANYAN, LI ZAIRAN, WANG YUAN, ZHAI JIANQIANG, GUO ZHIGANG
• Format: Patent
• Language: Chinese; English
• Published: 19.04.2024
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an optical storage micro-grid energy scheduling method based on an adaptive mutation particle swarm algorithm, and belongs to the technical field of optical storage micro-grid energy scheduling. The technical problem to be solved is to provide the improvement of the optical storage micro-grid energy scheduling method based on the adaptive mutation particle swarm optimization. According to the technical scheme adopted for solving the technical problem, the method comprises the following steps: initializing the position and speed of a particle population, and respectively setting a maximum iteration frequency, a maximum inertia weight value, a minimum inertia weight value, a learning factor and a particle dimension parameter; evaluating a population particle fitness value, and obtaining an individual optimal position, an optimal value parameter, a global optimal position and an optimal value parameter; on the basis of the inertia weight value updated in each iteration, the moving speed an