自动化学报2019，Vol.45Issue(1)：84-97,14.DOI:10.16383/j.aas.2018.c180368
信息物理融合的智慧能源系统多级对等协同优化
Multilevel Peer-to-Peer Co-optimization for Cyber-physical Intelligent Energy Systems
摘要
Abstract
A multilevel peer-to-peer co-optimization method for cyber-physical intelligent energy systems (IES) is proposed to analyze the optimal control and management problem of energy power systems. On the basis of the cyber-physical energy system (CPES) , a co-optimization architecture of local and wide-area levels for intelligent energy system is constructed. With the help of Stone-Geary utility function and double auction mechanism, an energy optimization model for intelligent energy system is constructed in consideration of social welfare, supply-demand balance and demand willingness in the peer-to-peer interaction process of prosumers. At the same time, the local search ability of the intelligent optimization algorithm is further improved by the guidance of convergence judgment domain as well as the combination strategy of global random search and directional search. In addition, the user-friendly peer-to-peer trading mode is effectively realized through rational pricing of double auction mechanism and the auxiliary services of smart contract. Simulation results show that the optimal allocation of power resources can be obtained under the premise of maximizing social welfare, which further illustrates the effectiveness and feasibility of this method.关键词
信息物理融合能源系统/智慧能源系统/产消者/协同优化/双向拍卖机制/智能合约Key words
Cyber-physical energy systems (CPES)/intelligent energy systems (IES)/prosumers/collaborative optimization/double auction/smart contract引用本文复制引用
司方远,汪晋宽,韩英华,赵强..信息物理融合的智慧能源系统多级对等协同优化[J].自动化学报,2019,45(1):84-97,14.基金项目
国家重点研究发展计划(2016YFB0901900) （2016YFB0901900）
河北省自然科学基金(F2017501107) （F2017501107）
东北大学轧制技术及连轧自动化国家重点实验室开放课题(2017RALKFKT003) （2017RALKFKT003）
东北大学秦皇岛分校校内基金(XNB201803,XNK201603)资助 （XNB201803,XNK201603）
