Renewable energy consumption responsibility weight distribution optimization method considering multiple factors

• Main Authors: ZHU TIANBO, WANG FEI, LIU DI, NING BU, SUN RONGFU, HE PENGFEI, GUO JUNHONG, LIANG JIQING, MIN RUI, SONG JIATONG, XUE XIAOQIANG, ZHANG JINGYU, LI LING, NING WENYUAN, WANG GE, LU SHIHUA, LUO JING, KUO CHING-JUNG, LIN YULONG, TANG QINGFENG
• Format: Patent
• Language: Chinese; English
• Published: 28.03.2025
• Subjects: CALCULATING; 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

A renewable energy consumption responsibility weight distribution optimization method considering multiple factors relates to the technical field of power markets, and comprises the following steps: S1, considering multiple factors, and using an entropy weight method to solve objective renewable energy power consumption responsibility weight of each market subject; s2, establishing an upper layer optimization objective function; s3, establishing a lower-layer objective function; and step S4, iteratively solving the optimal renewable energy consumption responsibility amount and consumption amount of each market subject based on the double-layer optimization model established in the step S2 and the step S3. The method takes province as a unit, comprehensively considers resource endowment, power structure and economic level of each region, and green power consumption proportion and profitability of each market subject, reasonably allocates renewable energy consumption responsibility weight, realizes optimal allo