Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning

Shiva  Amini; Sasan  Ghasemi; Hemin  Golpira; Amjad Anvari-Moghaddam

doi:10.1109/EEEIC/ICPSEurope51590.2021.9584540

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 proceeding › Konferenceartikel i proceeding › Forskning › peer review

6 Citationer (Scopus)

112 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.

Originalsprog	Engelsk
Titel	2021 IEEE International Conference on Environment and Electrical Engineering : EEEIC 2021
Forlag	IEEE Press
Publikationsdato	2021
Sider	1-6
ISBN (Trykt)	978-1-6654-3614-4
ISBN (Elektronisk)	978-1-6654-3613-7
DOI	https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584540
Status	Udgivet - 2021
Begivenhed	2021 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. 2021 → 10 sep. 2021

Konference

Konference	2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Land/Område	Italien
By	Bari
Periode	07/09/2021 → 10/09/2021

Adgang til dokumentet

10.1109/EEEIC/ICPSEurope51590.2021.9584540

CHIO-TEP_AAM-v1Accepteret manuskript, 1,11 MB

AUB Link

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HeatReFlex: Green and Flexible District Heating/Cooling
Anvari-Moghaddam, A., Guerrero, J. M., Nami, H. & Mohammadiivatloo, B.
Danida Fellowship Centre
01/05/2019 → 30/04/2022
Projekter: Projekt › Forskning

Citationsformater

@inproceedings{53028c0684fc4e4c8de8928501467ad0,

title = "Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning",

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.",

keywords = "Transmission Expansion Planning, CHIO algorithm, Demand response, Economic dispatch, Plug-in electric vehicles, Uncertainty",

author = "Shiva Amini and Sasan Ghasemi and Hemin Golpira and Amjad Anvari-Moghaddam",

year = "2021",

doi = "10.1109/EEEIC/ICPSEurope51590.2021.9584540",

language = "English",

isbn = "978-1-6654-3614-4",

pages = "1--6",

booktitle = "2021 IEEE International Conference on Environment and Electrical Engineering",

publisher = "IEEE Press",

note = "2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ; Conference date: 07-09-2021 Through 10-09-2021",

}

Amini , S, Ghasemi, S, Golpira, H & Anvari-Moghaddam, A 2021, Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning. i 2021 IEEE International Conference on Environment and Electrical Engineering: EEEIC 2021. IEEE Press, s. 1-6, 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Bari, Italien, 07/09/2021. https://doi.org/10.1109/EEEIC/ICPSEurope51590.2021.9584540

Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning. / Amini , Shiva ; Ghasemi, Sasan ; Golpira, Hemin et al.
2021 IEEE International Conference on Environment and Electrical Engineering: EEEIC 2021. IEEE Press, 2021. s. 1-6.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning

AU - Amini , Shiva

AU - Ghasemi, Sasan

AU - Golpira, Hemin

AU - Anvari-Moghaddam, Amjad

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - Transmission Expansion Planning

KW - CHIO algorithm

KW - Demand response

KW - Economic dispatch

KW - Plug-in electric vehicles

KW - Uncertainty

U2 - 10.1109/EEEIC/ICPSEurope51590.2021.9584540

DO - 10.1109/EEEIC/ICPSEurope51590.2021.9584540

M3 - Article in proceeding

SN - 978-1-6654-3614-4

SP - 1

EP - 6

BT - 2021 IEEE International Conference on Environment and Electrical Engineering

PB - IEEE Press

T2 - 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

Y2 - 7 September 2021 through 10 September 2021

ER -

Coronavirus Herd Immunity Optimizer (CHIO) for Transmission Expansion Planning

Abstract

Konference

Adgang til dokumentet

AUB Link

Fingeraftryk

Projekter

HeatReFlex: Green and Flexible District Heating/Cooling

Citationsformater