Application of robust information game decision theory for risk-assessment problem in large scale users

Chich-Jen Shieh; Inna Pustokhina; Aleksandr A Rudenko; Sergey A Sedov; Olga Yurevna Nedorezova; Achla Anderson

doi:10.1016/j.isatra.2021.01.043

Application of robust information game decision theory for risk-assessment problem in large scale users

ISA Trans. 2021 Oct:116:167-181. doi: 10.1016/j.isatra.2021.01.043. Epub 2021 Jan 25.

Authors

Chich-Jen Shieh¹, Inna Pustokhina², Aleksandr A Rudenko³, Sergey A Sedov⁴, Olga Yurevna Nedorezova⁵, Achla Anderson⁶

Affiliations

¹ Institute of Quantitative Economics, Huaqiao University, No. 668 Jimei Avenue, Xiamen, 361021 Fujian, China.
² I.M. Sechenov First Moscow State Medical University, Sechenov University, Russia.
³ Togliatti State University, Russia.
⁴ Kazan Federal University, Russia.
⁵ Naberezhnye Chelny Institute of Kazan Federal University, Russia.
⁶ Department of Engineering, Texas Tech University, Lubbock, TX 79409, USA. Electronic address: achlaanderson@gmail.com.

PMID: 33546862
DOI: 10.1016/j.isatra.2021.01.043

Abstract

This work suggested a novel method in order to solve uncertain problem with uncertainty on pool market tariff with respect to wind and photovoltaic generations as well as storage units. Aiming this regard, information gap decision theory method is applied for solving the considered problem. This way, 3 major models are considered into account for big industrial consumers including: risk-taker, risk-averse, and risk-neutral models. Efficiency of suggested methods are studied by exertion of proposed method on big consumer risk via various pool yield tariffs. In addition, appraised obtained results prove the efficiency of demand response program for decreasing the over expenditure of big consumer. Therefore, good impacts of demand response program caused decrease in big user expenditure.

Keywords: Demand response program; Large scale users; Renewable energy sources; Risk assessment.