Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

Research Article

A literature Survey on Well-known Algorithms of Optimum Power Flow

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  • @INPROCEEDINGS{10.4108/eai.7-9-2021.2314847,
        author={Baqer Atiyah Allamey and Falah Jaber Kshash and Warid Warid},
        title={A literature Survey on Well-known Algorithms of Optimum Power Flow},
        proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey},
        publisher={EAI},
        proceedings_a={IMDC-IST},
        year={2022},
        month={1},
        keywords={optimal power flow (opf) classical optimization methods metaheuristic algorithm optimization},
        doi={10.4108/eai.7-9-2021.2314847}
    }
    
  • Baqer Atiyah Allamey
    Falah Jaber Kshash
    Warid Warid
    Year: 2022
    A literature Survey on Well-known Algorithms of Optimum Power Flow
    IMDC-IST
    EAI
    DOI: 10.4108/eai.7-9-2021.2314847
Baqer Atiyah Allamey1,*, Falah Jaber Kshash1, Warid Warid1
  • 1: Southern Technical University, Basra, Iraq
*Contact email: dr.baqer_turki@stu.edu.iq

Abstract

The optimal power flow (OPF) problem has emerged as one of the most commonly studied non - linear optimization problems. Under a variety of system requirements and control limits in general (OPF) must enhance the performance of electricity production, transmission, and distribution. OPF formulations and solution techniques are extremely varied. Furthermore, OPF's character is changing as a result of recent electricity markets and the incorporation of renewable resources. Many classical and meta-heuristic methods have been used to deal with various OPF formulations throughout the last three decades. To give a solid context for the current state of OPF formulations and solutions approaches, this survey examines both traditional and intelligent OPF approaches. The survey presents a complete discussion of several optimization approaches that researchers have applied to (OPF) and a focus on the benefits and downsides to each method for both traditional and intelligent OPF methods.