Virtual power plant source-load coordinated optimization scheduling method

• Main Authors: JIANG TAIPING, PAN LI, CHEN YIYU, ZHANG ZHENGMEI, YANG WEIGUO, XIAO JUN, PENG JIGANG, WANG ZHEN, SHU SHI, LIU ZHENDA
• Format: Patent
• Language: Chinese; English
• Published: 13.10.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a virtual power plant source-load coordinated optimization scheduling method, and the method comprises the steps: building a virtual power plant source-load coordinated optimization target system, and taking the minimum system operation cost, the maximum renewable energy consumption amount and the minimum environment cost as optimization targets, and determining a target function; constructing constraint conditions reflecting safe and stable operation of the system, wherein the constraint conditions comprise equality constraints and inequality constraints; constructing a multi-target optimization model according to the determined target system and constraint conditions; and setting a fuzzy inference engine based on the state of charge of the energy storage system, and solving the multi-objective optimization model by adopting a group search (FGSO) algorithm based on fuzzy inference. According to the thought of the method, on the premise that safe and stable operation of the power grid