Microgrid energy system optimization method based on real-time electricity price excitation

• Main Authors: ZHAO CHANJUAN, SONG JUNCAI, CHENG ZHIYOU, ZHANG YUFANG, WANG CHAO, LI XIAOBAO, XU HENG
• Format: Patent
• Language: Chinese; English
• Published: 30.09.2022
• 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 provides a micro-grid energy system optimization method based on real-time electricity price excitation, and belongs to the technical field of electronic information. Comprising the steps of establishing a micro-grid energy system and acquiring system data; determining a state set, an action set, a reward function and a real-time electricity price incentive mechanism; off-line learning is carried out by using a real-time electricity price incentive mechanism and a Dueling Double DQN algorithm to obtain an optimal strategy, and the system can realize economic benefit maximization in any state. According to the optimization method, the strategy is stimulated and explored by using the real-time buying and selling electricity price, the online evaluation network obtains the action corresponding to the optimal action value in the current state, and the target evaluation network calculates the action value of the action to obtain the target estimation value, so that the problem of over-estimation of t