Next Article in Journal
Hierarchical Distributed Motion Control for Multiple Linear Switched Reluctance Machines
Next Article in Special Issue
Application of a Simplified Thermal-Electric Model of a Sodium-Nickel Chloride Battery Energy Storage System to a Real Case Residential Prosumer
Previous Article in Journal
Olive Mill Wastewater: From a Pollutant to Green Fuels, Agricultural Water Source and Bio-Fertilizer—Part 1. The Drying Kinetics
Previous Article in Special Issue
Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessReview
Energies 2017, 10(9), 1421; doi:10.3390/en10091421

State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing

Department of Electrical and Computer Engineering, University of Denver, Denver, CO 80210, USA
Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
Author to whom correspondence should be addressed.
Received: 23 August 2017 / Revised: 2 September 2017 / Accepted: 12 September 2017 / Published: 16 September 2017
(This article belongs to the Special Issue Battery Energy Storage Applications in Smart Grid)
View Full-Text   |   Download PDF [1981 KB, uploaded 16 September 2017]   |  


Distributed energy storage (DES) plays an important role in microgrid operation and control, as it can potentially improve local reliability and resilience, reduce operation cost, and mitigate challenges caused by high penetration renewable generation. However, to ensure an acceptable economic and technical performance, DES must be optimally sized and placed. This paper reviews the existing DES sizing methods for microgrid applications and presents a generic sizing method that enables microgrid planners to efficiently determine the optimal DES size, technology, and location. The proposed method takes into consideration the impact of DES operation on its lifetime to enhance the obtained results accuracy and practicality. The presented model can be used for both grid-tied (considering both grid-connected and islanded modes) and isolated microgrids. View Full-Text
Keywords: distributed energy storage; depth of discharge; microgrid expansion; mixed integer programming; optimal sizing distributed energy storage; depth of discharge; microgrid expansion; mixed integer programming; optimal sizing

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Alsaidan, I.; Alanazi, A.; Gao, W.; Wu, H.; Khodaei, A. State-Of-The-Art in Microgrid-Integrated Distributed Energy Storage Sizing. Energies 2017, 10, 1421.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top