Comprehensive energy system optimal scheduling method considering prediction deviation and application thereof

• Main Authors: DAI QIQI, LI YINGXUE, WANG WEI, ZHANG XUETING, SUN LEI, GONG JIAWEI, ZHOU TONG, DUAN HAOHAN, WEI XINHANG, WU HAO, CHEN RIHUAN, MA KAIWEI
• Format: Patent
• Language: Chinese; English
• Published: 27.02.2024
• 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 comprehensive energy system optimization scheduling method considering the prediction deviation comprises the steps that a quantitative relation model of the influence effect of price on user demand response is constructed, and the model adjusts user side load resources by adjusting the operation price cost of a comprehensive energy system; constructing an integrated energy system operation optimization model under the condition of considering the prediction deviation, and defining an objective function, constraint conditions and each equipment output model under the prediction deviation; and solving the integrated energy system optimization model by using the improved grey wolf algorithm. According to the method, the uncertainty of the source load is considered, errors existing in prediction are finely calculated, the prediction accuracy is ensured, and a solid foundation is laid for calculation, prediction, regulation and control and the like of the power grid electricity price; a novel algorithm suitab