电力系统自动化2018，Vol.42Issue(10)：46-52,7.DOI:10.7500/AEPS20171226004
基于集成学习的孤岛微电网源—荷协同频率控制
Ensemble Learning for Generation-Consumption Coordinated Frequency Control in an Islanded Microgrid
摘要
Abstract
A novel ensemble learning(EL) method is proposed to achieve an optimal generation-consumption coordinated frequency control in an islanded microgrid.To solve the"dimension disaster" under the optimal generation-consumption coordinated frequency control,a large number of household consumers are aggregated as a load aggregator(LA),which can be equivalent to a generator.The LA can continuously evaluate the minimal and maximal reserve capabilities according to the operation state of each thermostatically controlled load.The EL is composed of multiple sub-optimizers and a learning concentrator,where each sub-optimizer is responsible for providing the exploitation and exploration samples to the learning concentrator,while the reinforcement learning based concentrator is mainly used for knowledge learning and transfer.Case studies are thoroughly carried out to verify the performance of EL for the generation-consumption coordinated frequency control in an islanded microgrid.关键词
源—荷协同/频率控制/集成学习/强化学习Key words
generation-consumption coordination/frequency control/ensemble learning/reinforcement learning引用本文复制引用
王德志,张孝顺,刘前进,余涛,潘振宁..基于集成学习的孤岛微电网源—荷协同频率控制[J].电力系统自动化,2018,42(10):46-52,7.基金项目
国家自然科学基金资助项目(51777078).This work is supported by National Natural Science Foundation of China(No.51777078). （51777078）
