Multifunction Battery Energy Storage System for Distribution Networks-Reference-Cited by-同舟云学术

Multifunction Battery Energy Storage System for Distribution Networks

Published:2022 Issue:2 Volume:119 Page:569-589
ISSN:0199-8595
Container-title:Energy Engineering
language:en
Short-container-title:

Author:

H. Abdalla Omar,Abdel-Salam Gamal,A. A. Mostafa Azza

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Energy Engineering and Power Technology,Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.techscience.com/energy/v119n2/46661/pdf

Reference35 articles.

1. Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality;Das;Renewable and Sustainable Energy Reviews,2018

2. Utility-Scale Batteries (2019). International Renewable Energy Agency (IRENA) Report. https://www.irena.org//media/Files/IRENA/Agency/Publication/2019/Sep/IRENA_Utility-scale-batteries_2019.pdf.

3. Analysis of advantage of the connection of energy storage system to distribution network and the impact on the voltage quality;Peng,2018

4. Optimal battery energy storage placement in highly PV—Penetrated distribution networks;Alzahrani,2020

5. Electric distribution network reconfiguration optimized for PV distributed generation and energy storage;Monteiro;Electric Power Systems Research,2020

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing Self-Healing Distribution Networks with Smart RMUS;2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC);2023-12-19

2. A scalable planning framework of energy storage systems under frequency dynamics constraints;International Journal of Electrical Power & Energy Systems;2023-02

3. Optimal Number and Locations of Smart RMUs for Self-Healing Distribution Networks;International Transactions on Electrical Energy Systems;2022-06-30

4. Incremental Learning Model for Load Forecasting without Training Sample;Computers, Materials & Continua;2022

5. Typical Application Scenarios and Economic Benefit Evaluation Methods of Battery Energy Storage System;Energy Engineering;2022