Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning

Shiva Amini , Sasan Ghasemi, Hemin Golpira, Amjad Anvari-Moghaddam*

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

10 Citationer (Scopus)
144 Downloads (Pure)

Abstract

This paper presents a novel mathematical model to simultaneously tackle the economic dispatch (ED) problem considering valve point effect, load uncertainty, distributed generation (DG) uncertainty, incentive-based demand response, and plug-in electric vehicle into the transmission expansion planning (TEP) problem to minimize the total cost of the system. Monte–Carlo is employed to consider the uncertain characteristic of DGs and loads. Considering ED problem in solving TEP problem with uncertain aspects of DGs and loads, made the problem so complicated. So, to overcome this complicity, a new meta-heuristic coronavirus herd immunity optimizer (CHIO) algorithm is utilized. The presented methodology is verified on an IEEE 24-bus test system. Finally, to evaluate the CHIO algorithm efficiency, a comparison is made between the results obtained by CHIO and Branch and Bound (B&B) algorithm. Numerical results show the efficiency of the newly presented methodology in solving TEP and ED problems simultaneously.
OriginalsprogEngelsk
Titel2021 IEEE International Conference on Environment and Electrical Engineering : EEEIC 2021
ForlagIEEE Press
Publikationsdato2021
Sider1-6
ISBN (Trykt)978-1-6654-3614-4
ISBN (Elektronisk)978-1-6654-3613-7
DOI
StatusUdgivet - 2021
Begivenhed2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) - Bari, Italien
Varighed: 7 sep. 202110 sep. 2021

Konference

Konference2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Land/OmrådeItalien
ByBari
Periode07/09/202110/09/2021

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