The role of intelligent generation control algorithms in optimizing battery energy storage systems size in microgrids: A case study from Western Australia-Reference-Cited by-同舟云学术

The role of intelligent generation control algorithms in optimizing battery energy storage systems size in microgrids: A case study from Western Australia

Published:2019-09 Issue: Volume:196 Page:1335-1352
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Mahmoud Thair Shakir,Ahmed Bestoun S.,Hassan Mohammed Y.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. Reliability-constrained optimal sizing of energy storage system in a microgrid;Bahramirad;IEEE Trans Smart Grid,2012

2. Microgrid topology planning for enhancing the reliability of active distribution networks;Cortes;IEEE Trans Smart Grid,2017

3. A mixed integer linear programming approach for optimal der portfolio, sizing, and placement in multi-energy microgrids;Mashayekh;Appl Energy,2017

4. A multi-service approach for planning the optimal mix of energy storage technologies in a fully-renewable power supply;Haas;Energy Convers Manage,2018

5. Considerations on the need for electricity storage requirements: Power versus energy;Belderbos;Energy Convers Manage,2017

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