Abstract
The development in battery energy storage (BESS) technology and rapid rise in power demand have urged together adopting the storage system in conventional power plants in order to cope with the additional loads at an optimal cost. This paper presents an optimization strategy to address effective interfacing of BESSs to the grid with the sole objective of minimizing active power losses; however, voltage profile enhancement is targeted as well as a sub task. The methodology is tested based on real-data-based network and loss sensitivity factor approach is used to make best-selected bus to accommodate the BESS such that the associated parameters are maintained optimally. It has been observed that the grid performance improves in terms of power losses because of the local generation of the BESS at the selected bus, which is possesses the highest index of loss sensitivity factor that quantify the severity of a bus performance.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 648-654 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781728135205 |
| DOIs | |
| State | Published - May 2019 |
Publication series
| Name | 2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Active power losses
- battery energy storage
- loss sensitivity factor
- power networks
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
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