An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios

Deploying user-side energy storage in urban power grids is an effective solution to operational challenges such as insufficient capacity for renewable energy consumption and local overloads. Therefore, an assessment method for energy storage demand on the user side in urban power grids that consider...

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Bibliographic Details
Main Authors: LI Wei, ZHOU Tian, DONG Shaoguang, YE Liya, ZHAO Nengneng, HE Gaoyao, GENG Guangchao
Format: Article
Language:zho
Published: zhejiang electric power 2024-02-01
Series:Zhejiang dianli
Subjects:
Online Access:https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9f364d17-35dd-4b4e-841f-95f1801760f7
Description
Summary:Deploying user-side energy storage in urban power grids is an effective solution to operational challenges such as insufficient capacity for renewable energy consumption and local overloads. Therefore, an assessment method for energy storage demand on the user side in urban power grids that considers multiple operational scenarios is proposed. The approach involves quantifying the weights between different scenarios in the urban power grid based on their frequency of occurrence and severity. Scenarios including normal operation, insufficient renewable energy consumption, and local overloads are chosen to construct a model to assess energy storage demand on the user side in urban power grids. Case studies are conducted using a 37-node model of an urban power grid in a region of Zhejiang Province. The results indicate that the method is effective in evaluating energy storage demand on the user side in urban power grids and improving the reuse rate of energy storage on the user side across various operational scenarios. Compared to methods for assessing energy storage demand in a single operational scenario, this approach significantly reduces the overall demand for energy storage on the user side in urban power grids and decreases both investment costs and operational costs.
ISSN:1007-1881