NDLI: On false data injection attack against Multistep Electricity Price in electricity market in smart grid

Content Provider	IEEE Xplore Digital Library
Author	Jie Lin Wei Yu Xinyu Yang
Copyright Year	2013
Description	Author affiliation: Xi'an Jiaotong Univ., Xi'an, China (Jie Lin; Xinyu Yang) \|\| Towson Univ., Towson, MD, USA (Wei Yu)
Abstract	The concept of Multistep Electricity Price (MEP) policy has been introduced by many countries to promote energy saving, load balance and fairness in electricity consumption. However, with the development of smart grid, how to determine the electricity quantity and price scaled to multiple steps has not been fully investigated. To address this issue, in this paper we study a two-dimensional MEP model to formally analyze and determine the desirable electricity quantity and price in multiple steps. In this model, the step is scaled by both electricity quantity and the time when the electricity is used. Based on the proposed MEP model, we further investigate the vulnerability of the electricity market operation and investigate false data injection attacks against electricity price and charges to consumers. Through simulation study, our data show that the proposed MEP models can achieve the fairness in electricity consumption, balance in load between peak time and non-peak time and improvement of resource utilization. Our data also indicates that false data injection attacks can only partially compromise prices in the MEP model, leading to a limited impact on users' charges.
Sponsorship	IEEE Commun. Soc.
Starting Page	760
Ending Page	765
File Size	337527
Page Count	6
File Format	PDF
ISBN	9781479913534
DOI	10.1109/GLOCOM.2013.6831164
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electricity Mathematical model Load modeling Equations Generators Data models Smart grids False data injection attacks Electricity market Multistep electricity price Fairness of electricity consumption Load balance
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Towards Multistep Electricity Prices in Smart Grid Electricity Markets

On False Data Injection Attacks against Distributed Energy Routing in Smart Grid

Combating False Data Injection Attacks in Smart Grid using Kalman Filter

False data injection attacks with incomplete information against smart power grids

Electricity market price forecasting in a price-responsive smart grid environment

Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids (2014)

False data injection attacks against nonlinear state estimation in smart power grids

Coordinated attacks against power grids: Load redistribution attack coordinating with generator and line attacks

Power system adequacy assessment with load redistribution attacks

On false data injection attack against Multistep Electricity Price in electricity market in smart grid

Similar Documents

Towards Multistep Electricity Prices in Smart Grid Electricity Markets

On False Data Injection Attacks against Distributed Energy Routing in Smart Grid

Combating False Data Injection Attacks in Smart Grid using Kalman Filter

False data injection attacks with incomplete information against smart power grids

Electricity market price forecasting in a price-responsive smart grid environment

Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids (2014)

False data injection attacks against nonlinear state estimation in smart power grids

Coordinated attacks against power grids: Load redistribution attack coordinating with generator and line attacks

Power system adequacy assessment with load redistribution attacks

On false data injection attack against Multistep Electricity Price in electricity market in smart grid