Optimization of Power Output Ratio for Micro-Grid System with Renewable Generation and Energy Storage

Shengyu Gao, Qihui Yu, Wenxian Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Reasonable planning of wind farms, photovoltaic power plants, and energy storage systems can improve the economic efficiency and reliability of micro-grid systems. In order to obtain the optimal power output ratio of the micro-grid system, the maximum profit of the micro-grid system is set as the objective function, with energy utilization rate, system outage rate, and savings in electricity purchasing costs as evaluation criteria. Genetic algorithms are used to optimize the micro-grid system. Secondly, different scenarios of micro-grid system combinations are established, and evaluation criteria are used for assessment. Finally, within the constraints, the optimal power output ratio of the micro-grid system is obtained based on the impact of the micro-grid system on the objective function, verifying the scientific and effective nature of the proposed model.

Original languageEnglish
Title of host publicationProceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic
Subtitle of host publicationTEPEN2024-IWFDP
EditorsBingyan Chen, Xiaoxia Liang, Tian Ran Lin, Fulei Chu, Andrew D. Ball
PublisherSpringer, Cham
Pages337-347
Number of pages11
Volume1
Edition1st
ISBN (Electronic)9783031702358
ISBN (Print)9783031702341, 9783031702372
DOIs
Publication statusPublished - 3 Sep 2024
EventTEPEN International Workshop on Fault Diagnostic and Prognostic - Qingdao, China
Duration: 8 May 202411 May 2024

Publication series

NameMechanisms and Machine Science
PublisherSpringer Cham
Volume170 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceTEPEN International Workshop on Fault Diagnostic and Prognostic
Abbreviated titleTEPEN2024-IWFDP
Country/TerritoryChina
CityQingdao
Period8/05/2411/05/24

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