Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response

Tanuj Rawat; K. R. Niazi; Sachin Sharma; Jyotsna Singh

doi:10.1007/978-981-19-1742-4_35

Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response

Tanuj Rawat^*
, K. R. Niazi
, Sachin Sharma
, Jyotsna Singh

^*Corresponding author for this work

School of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper address optimal operational problem of smart distribution systems (SDS) encompassing uncertainties and demand response (DR). Information gap decision theory (IGDT) is adpoted in this work to model the uncertainties in grid prices and power from renewables. The SDS operation is analyzed for opportunity (risk-seeker) framework of IGDT. The proposed risk-seeker IGDT based SDS operational management problem is modeled as a multi-objective optimization approach to simultaneously optimize radius of uncertainty of both grid prices and power from renewables. The ϵ -constraint method is utilized to solve the multi-objective IGDT problem. Moreover, impact of different participation levels of load shifting type DR on SDS operation is also presented. In order to demonstrate the efficacy of the proposed work a modified 33-bus distribution system is adopted. The results illustrate the effectiveness of proposed multi-objective IGDT model for SDS operational problem.

Original language	English
Title of host publication	Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022
Editors	Saad Mekhilef, Rabindra Nath Shaw, Pierluigi Siano
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	415-425
Number of pages	11
ISBN (Print)	9789811917417
DOIs	https://doi.org/10.1007/978-981-19-1742-4_35
Publication status	Published - 2022
Event	International Conference on Electrical and Electronics Engineering, ICEEE 2022 - New Delhi, India Duration: 08-01-2022 → 09-01-2022

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	893 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference on Electrical and Electronics Engineering, ICEEE 2022
Country/Territory	India
City	New Delhi
Period	08-01-22 → 09-01-22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering

Access to Document

10.1007/978-981-19-1742-4_35

Cite this

Rawat, T., Niazi, K. R., Sharma, S., & Singh, J. (2022). Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response. In S. Mekhilef, R. N. Shaw, & P. Siano (Eds.), Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022 (pp. 415-425). (Lecture Notes in Electrical Engineering; Vol. 893 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-1742-4_35

Rawat, Tanuj ; Niazi, K. R. ; Sharma, Sachin et al. / Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response. Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022. editor / Saad Mekhilef ; Rabindra Nath Shaw ; Pierluigi Siano. Springer Science and Business Media Deutschland GmbH, 2022. pp. 415-425 (Lecture Notes in Electrical Engineering).

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title = "Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response",

abstract = "This paper address optimal operational problem of smart distribution systems (SDS) encompassing uncertainties and demand response (DR). Information gap decision theory (IGDT) is adpoted in this work to model the uncertainties in grid prices and power from renewables. The SDS operation is analyzed for opportunity (risk-seeker) framework of IGDT. The proposed risk-seeker IGDT based SDS operational management problem is modeled as a multi-objective optimization approach to simultaneously optimize radius of uncertainty of both grid prices and power from renewables. The ϵ -constraint method is utilized to solve the multi-objective IGDT problem. Moreover, impact of different participation levels of load shifting type DR on SDS operation is also presented. In order to demonstrate the efficacy of the proposed work a modified 33-bus distribution system is adopted. The results illustrate the effectiveness of proposed multi-objective IGDT model for SDS operational problem.",

author = "Tanuj Rawat and Niazi, \{K. R.\} and Sachin Sharma and Jyotsna Singh",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Electrical and Electronics Engineering, ICEEE 2022 ; Conference date: 08-01-2022 Through 09-01-2022",

year = "2022",

doi = "10.1007/978-981-19-1742-4\_35",

language = "English",

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series = "Lecture Notes in Electrical Engineering",

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}

Rawat, T, Niazi, KR, Sharma, S & Singh, J 2022, Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response. in S Mekhilef, RN Shaw & P Siano (eds), Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022. Lecture Notes in Electrical Engineering, vol. 893 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 415-425, International Conference on Electrical and Electronics Engineering, ICEEE 2022, New Delhi, India, 08-01-22. https://doi.org/10.1007/978-981-19-1742-4_35

Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response. / Rawat, Tanuj; Niazi, K. R.; Sharma, Sachin et al.
Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022. ed. / Saad Mekhilef; Rabindra Nath Shaw; Pierluigi Siano. Springer Science and Business Media Deutschland GmbH, 2022. p. 415-425 (Lecture Notes in Electrical Engineering; Vol. 893 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response

AU - Rawat, Tanuj

AU - Niazi, K. R.

AU - Sharma, Sachin

AU - Singh, Jyotsna

PY - 2022

Y1 - 2022

N2 - This paper address optimal operational problem of smart distribution systems (SDS) encompassing uncertainties and demand response (DR). Information gap decision theory (IGDT) is adpoted in this work to model the uncertainties in grid prices and power from renewables. The SDS operation is analyzed for opportunity (risk-seeker) framework of IGDT. The proposed risk-seeker IGDT based SDS operational management problem is modeled as a multi-objective optimization approach to simultaneously optimize radius of uncertainty of both grid prices and power from renewables. The ϵ -constraint method is utilized to solve the multi-objective IGDT problem. Moreover, impact of different participation levels of load shifting type DR on SDS operation is also presented. In order to demonstrate the efficacy of the proposed work a modified 33-bus distribution system is adopted. The results illustrate the effectiveness of proposed multi-objective IGDT model for SDS operational problem.

AB - This paper address optimal operational problem of smart distribution systems (SDS) encompassing uncertainties and demand response (DR). Information gap decision theory (IGDT) is adpoted in this work to model the uncertainties in grid prices and power from renewables. The SDS operation is analyzed for opportunity (risk-seeker) framework of IGDT. The proposed risk-seeker IGDT based SDS operational management problem is modeled as a multi-objective optimization approach to simultaneously optimize radius of uncertainty of both grid prices and power from renewables. The ϵ -constraint method is utilized to solve the multi-objective IGDT problem. Moreover, impact of different participation levels of load shifting type DR on SDS operation is also presented. In order to demonstrate the efficacy of the proposed work a modified 33-bus distribution system is adopted. The results illustrate the effectiveness of proposed multi-objective IGDT model for SDS operational problem.

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Rawat T, Niazi KR, Sharma S, Singh J. Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response. In Mekhilef S, Shaw RN, Siano P, editors, Innovations in Electrical and Electronic Engineering - Proceedings of ICEEE 2022. Springer Science and Business Media Deutschland GmbH. 2022. p. 415-425. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-19-1742-4_35

Risk-Seeker Information Gap Decision Theory Based Smart Grid Operation Encompassing Demand Response

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

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