A Robust Computational Framework for Mid-Term Techno-Economical Assessment of Energy Storage

Files in This Item:
File Description SizeFormat 
IET_format-R1.pdf454.25 kBAdobe PDFDownload
Title: A Robust Computational Framework for Mid-Term Techno-Economical Assessment of Energy Storage
Authors: Maghouli, Pourya
Soroudi, Alireza
Keane, Andrew
Permanent link: http://hdl.handle.net/10197/7241
Date: Oct-2015
Online since: 2015-11-23T14:45:22Z
Abstract: Rapid expansion and integration of wind energy is restrained due to transmission capacity constraints and conventional generation technologies limited operational flexibility in today's power systems. Energy storage is an attractive option to integrate and utilise more renewable energy without major and timely upgrade of existing transmission infrastructure. Moreover, it can be considered as a means for differing the reinforcement plans. The evaluation of energy storage deployment projects is a challenging task due to severe uncertainty of wind power generation. In this study, a robust techno-economic framework is proposed for energy storage evaluation based on information gap decision theory for handling wind generation uncertainty. The total social cost of the system including conventional generators’ fuel and pollution cost and wind power curtailment cost is optimised considering generators operational constraints and transmission system capacity limitations based on the DC model of the power grid. The effect of storage devices on system performance is evaluated taking into account wind power uncertainty. The proposed method is conducted on the modified IEEE reliability test system and the modified IEEE-118-bus test system to assess its applicability and performance in mid-term robust evaluation of energy storage implementation plans.
Type of material: Journal Article
Publisher: IET
Journal: IET Generation Transmission and Distribution
Volume: 10
Issue: 3
Start page: 822
End page: 831
Copyright (published version): 2015 The Institution of Engineering and Technology
Keywords: DC optimal power flowStorage devicesTransmission capacity constraintsWind power generationInformation gap decisiontheory
DOI: 10.1049/iet-gtd.2015.0453
Language: en
Status of Item: Peer reviewed
Appears in Collections:Electrical and Electronic Engineering Research Collection

Show full item record

Citations 20

Last Week
Last month
checked on Mar 20, 2019

Download(s) 50

checked on May 25, 2018

Google ScholarTM



This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.