Wind and light storage-considered power plant system optimization scheduling method, system and equipment and storage medium

• Main Authors: GUO WEICHANG, WANG HAIQIANG, LYU XIAOXIU, LEI YANG, FANG ZICHAO, WU HAO, LI CHUNLI, HE XINLIN
• Format: Patent
• Language: Chinese; English
• Published: 05.07.2024
• 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; ELECTRIC DIGITAL DATA PROCESSING; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY

The invention discloses a thermal power plant service system optimization scheduling method, system and device considering wind and light storage, and a storage medium, and belongs to the technical field of power plant optimization, and the method specifically comprises the steps: collecting the data of a thermal power plant service system, and building a service system multi-objective function according to the data of the thermal power plant service system and a wind and light power generation cluster model in a service power system; introducing constraint penalty and constraint conditions to a plant system multi-objective function, and constructing a thermal power plant system optimization scheduling model; and processing the thermal power plant service system optimization scheduling model by adopting a particle swarm algorithm based on a dynamic learning factor to obtain an optimization scheduling result, and completing the optimization scheduling of the thermal power plant service system according to the