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Vertically associated energy storage configuration of new energy power stations based on mixed integer nonlinear programming algorithm

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Bibliographic Details
Title:	Vertically associated energy storage configuration of new energy power stations based on mixed integer nonlinear programming algorithm
Authors:	Tian Liu, Xiaoyong Ren, Guoming Feng, Linhui Shen
Source:	Journal of Physics: Conference Series. 3064:012040
Publisher Information:	IOP Publishing, 2025.
Publication Year:	2025
Description:	Traditional new energy power plants allocate energy storage based on a fixed proportion of installed capacity, resulting in low efficiency. Therefore, a new energy storage allocation method based on a mixed integer nonlinear programming algorithm is proposed, which integrates power generation characteristics, charging and discharging strategies, and grid constraints and iteratively optimizes to find the optimal solution. The experiment shows that this method performs well in terms of frequency deviation, grid-connected power smoothness, and charge discharge efficiency.
Document Type:	Article
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/3064/1/012040
Rights:	CC BY
Accession Number:	edsair.doi...........a70c59ebb53d538f0acbc52f25bdcfc3
Database:	OpenAIRE

Description
Abstract:	Traditional new energy power plants allocate energy storage based on a fixed proportion of installed capacity, resulting in low efficiency. Therefore, a new energy storage allocation method based on a mixed integer nonlinear programming algorithm is proposed, which integrates power generation characteristics, charging and discharging strategies, and grid constraints and iteratively optimizes to find the optimal solution. The experiment shows that this method performs well in terms of frequency deviation, grid-connected power smoothness, and charge discharge efficiency.
ISSN:	17426596 17426588
DOI:	10.1088/1742-6596/3064/1/012040