Robust Self-Scheduling of a Large Solar Producer coupled with Battery Storage System

Khezr Sanjani, Behnam Mohammadi-Ivatloo, Mousa Marzband, Mahmood Shafiee, Amjad Anvari-Moghaddam

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Power systems’ operation has encountered notable challenges by increasing the implementation of large renewable energy
sources (RESs), in recent years. The main problem of the power system with these RESs is the system inability of well predicting
the RESs production volume. Besides, one of the proper presented ways to overcome these volatility issues is to employ a
suitable electrical energy storage (EES) system to pair with the RESs. Using the EES not only covers the RESs shortage/excess,
but also, it increases the total income of the system. In fact, one of the most uncertain objects of the system is the solar producer’s
production, since any changes in the weather conditions (solar irradiation) would directly change its production value. By considering
this issue, the importance of acknowledging these uncertainties in the present works is visible. To this end, the current
study aims to pair a kind of large solar producer (SP) to a proper battery storage system (BSS). Here, the uncertainties are well
modeled through the robust optimization approach. Finally, the simulation results demonstrate the effectiveness of the solution
methodology.
Original languageEnglish
Title of host publication10th International Conference on Power Electronics, Machines and Drives (PEMD 2020)
PublisherIEEE Press
Pages1-6
Publication statusE-pub ahead of print - 2020
Event10th International Conference on Power Electronics, Machines and Drives, PEMD 2020 - Virtual, Online
Duration: 15 Dec 202017 Dec 2020

Conference

Conference10th International Conference on Power Electronics, Machines and Drives, PEMD 2020
CityVirtual, Online
Period15/12/202017/12/2020

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