Multi-objective optimization scheduling method for park integrated energy system under chance constraint condition

• Main Authors: WANG GUILONG, GUO ZUN, YUAN SHUAI, GUO HEHONG, YUAN MINHONG, HAN XIAOQING, ZHAO QINGSHENG
• Format: Patent
• Language: Chinese; English
• Published: 28.01.2022
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a multi-objective optimization scheduling method for a park integrated energy system under opportunity constraint conditions. The method comprises the following steps: calculating an initial charging load curve according to an attendance behavior probability distribution model of an electric vehicle and an electric bus swap station through building a mathematical model of the electric vehicle and the electric bus swap station; an economy-energy efficiency-environmental protection multi-objective optimization scheduling model of the integrated energy system of the park is constructed by considering uncertainty factors in the park, standby output of a combined cooling heating and power unit and standby market electricity purchase are set as standby capacity of the integrated energy system of the park, and efficiency is used as an energy efficiency optimization index. And the pollution gas emission treatment cost is used as an environmental protection index. Constructing a weighted satisfa