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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zhejiang electric power
2024-02-01
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Series: | Zhejiang dianli |
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Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9f364d17-35dd-4b4e-841f-95f1801760f7 |
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author | LI Wei ZHOU Tian DONG Shaoguang YE Liya ZHAO Nengneng HE Gaoyao GENG Guangchao |
author_facet | LI Wei ZHOU Tian DONG Shaoguang YE Liya ZHAO Nengneng HE Gaoyao GENG Guangchao |
author_sort | LI Wei |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-07T14:24:59Z |
format | Article |
id | doaj.art-278f810a8ee04d80ae48443d16a58052 |
institution | Directory Open Access Journal |
issn | 1007-1881 |
language | zho |
last_indexed | 2024-03-07T14:24:59Z |
publishDate | 2024-02-01 |
publisher | zhejiang electric power |
record_format | Article |
series | Zhejiang dianli |
spelling | doaj.art-278f810a8ee04d80ae48443d16a580522024-03-06T08:16:12Zzhozhejiang electric powerZhejiang dianli1007-18812024-02-014329610410.19585/j.zjdl.2024020111007-1881(2024)02-0096-09An assessment method for energy storage demand on user side in urban grids considering multiple operational scenariosLI Wei0ZHOU Tian1DONG Shaoguang2YE Liya3ZHAO Nengneng4HE Gaoyao5GENG Guangchao6State Grid Zhejiang Training Center, Hangzhou 310015, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaState Grid Zhejiang Training Center, Hangzhou 310015, ChinaState Grid Zhejiang Training Center, Hangzhou 310015, ChinaState Grid Zhejiang Training Center, Hangzhou 310015, ChinaState Grid Yuyao Power Supply Co., Ltd., Yuyao, Zhejiang 315400, ChinaCollege of Electrical Engineering, Zhejiang University, Hangzhou 310027, ChinaDeploying 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.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9f364d17-35dd-4b4e-841f-95f1801760f7multi-operation scenariourban gridenergy storage on user sidedemand assessment |
spellingShingle | LI Wei ZHOU Tian DONG Shaoguang YE Liya ZHAO Nengneng HE Gaoyao GENG Guangchao An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios Zhejiang dianli multi-operation scenario urban grid energy storage on user side demand assessment |
title | An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
title_full | An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
title_fullStr | An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
title_full_unstemmed | An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
title_short | An assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
title_sort | assessment method for energy storage demand on user side in urban grids considering multiple operational scenarios |
topic | multi-operation scenario urban grid energy storage on user side demand assessment |
url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=9f364d17-35dd-4b4e-841f-95f1801760f7 |
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