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dc.contributor.authorLiu, Yang
dc.contributor.authorJiang, Zhanpeng
dc.contributor.authorXing, Zuoxia
dc.contributor.authorLiu, Hengyu
dc.contributor.authorLi, Pengtao
dc.contributor.authorHan, Xingfan
dc.date.accessioned2024-12-24T19:03:55Z
dc.date.available2024-12-24T19:03:55Z
dc.date.copyright6/7/2024 12:00:00 AM
dc.date.issued2024
dc.identifier.issn1530-9827
dc.identifier.otherjcise_24_9_090902.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303225
dc.description.abstractWith the rapid growth of renewable energy generation, its proportion in power generation is increasing. Accompanied by this, due to the uncertain characteristics of renewable energy generation, the issue of imbalanced power supply and demand in microgrids has posed, which brings great challenges to the reliability of microgrid. In recent years, how to use an energy storage system to solve this problem has become a hot research topic in microgrid. In this paper, an online H∞ policy iteration algorithm is proposed to control the output power of photovoltaic arrays and micro-gas turbines. At the same time, considering the uncertainty of the load demand in the microgrid system and the input disturbance of the micro-gas turbine governor, the power supply and demand relationship of the microgrid can be balanced by the proposed control strategy. Finally, the effectiveness and practicality of the control strategy were demonstrated through simulation analysis.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleSupply and Demand Balance Control Strategy for Microgrids Considering Uncertainty and Disturbance Based on Online H∞ Policy Iteration
dc.typeJournal Paper
dc.journal.volume24
dc.journal.issue9
dc.journal.titleJournal of Computing and Information Science in Engineering
dc.identifier.doi10.1115/1.4064823
dc.journal.fristpage90902-1
dc.journal.lastpage90902-4
dc.page4
dc.treeJournal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 009
dc.contenttypeFulltext


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