Rider optimization algorithm for optimal DG allocation in radial distribution network

Mansur Khasanov; Salah Kamel; Hany M. Hasanien; Ahmed Al-Durra

doi:10.1109/SPIES48661.2020.9243103

Rider optimization algorithm for optimal DG allocation in radial distribution network

Mansur Khasanov
, Salah Kamel
, Hany M. Hasanien
, Ahmed Al-Durra

Electrical Engineering

Chongqing University
Aswan University
Faculty of Engineering Ain Shams University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Scopus citations

Abstract

Over the last few years, with a growing interest in energy security and climate change, the integration of renewable energy sources (RES) and energy efficiency, including power loss minimization, are the two pillars of sustainable energy solutions. This paper proposes an application for a recent optimization technique called Rider Optimization Algorithm (ROA). The ROA is inspired by a group of riders. The ROA is applied for determining the optimal allocation of Photovoltaic (PV) and Wind turbine (WT) based distributed generation (DG) units with the aim of minimizing the total power losses. In this regard, the most suitable nodes to place the DGs are identified using Power Loss Sensitivity Factor (PLSF) in order to reduce the search space, then ROA is applied to identify their optimal locations and sizes. The developed technique has been tested on the standard 33-node system. The results obtained by the developed technique are compared with those obtained by other well-known algorithms.

Original language	British English
Title of host publication	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	138-143
Number of pages	6
ISBN (Electronic)	9781728166117
DOIs	https://doi.org/10.1109/SPIES48661.2020.9243103
State	Published - 15 Sep 2020
Event	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 - Bangkok, Thailand Duration: 15 Sep 2020 → 18 Sep 2020

Publication series

Name	2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

Conference

Conference	2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020
Country/Territory	Thailand
City	Bangkok
Period	15/09/20 → 18/09/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Distributed Generation
Power Loss Sensitivity Factor
Rider Optimization Algorithm
Total Power Loss

Access to Document

10.1109/SPIES48661.2020.9243103

OpenUrl availability

Full text

Cite this

Khasanov, M., Kamel, S., Hasanien, H. M., & Al-Durra, A. (2020). Rider optimization algorithm for optimal DG allocation in radial distribution network. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020 (pp. 138-143). Article 9243103 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPIES48661.2020.9243103

Khasanov, Mansur ; Kamel, Salah ; Hasanien, Hany M. et al. / Rider optimization algorithm for optimal DG allocation in radial distribution network. 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 138-143 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

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abstract = "Over the last few years, with a growing interest in energy security and climate change, the integration of renewable energy sources (RES) and energy efficiency, including power loss minimization, are the two pillars of sustainable energy solutions. This paper proposes an application for a recent optimization technique called Rider Optimization Algorithm (ROA). The ROA is inspired by a group of riders. The ROA is applied for determining the optimal allocation of Photovoltaic (PV) and Wind turbine (WT) based distributed generation (DG) units with the aim of minimizing the total power losses. In this regard, the most suitable nodes to place the DGs are identified using Power Loss Sensitivity Factor (PLSF) in order to reduce the search space, then ROA is applied to identify their optimal locations and sizes. The developed technique has been tested on the standard 33-node system. The results obtained by the developed technique are compared with those obtained by other well-known algorithms.",

keywords = "Distributed Generation, Power Loss Sensitivity Factor, Rider Optimization Algorithm, Total Power Loss",

author = "Mansur Khasanov and Salah Kamel and Hasanien, \{Hany M.\} and Ahmed Al-Durra",

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Khasanov, M, Kamel, S, Hasanien, HM & Al-Durra, A 2020, Rider optimization algorithm for optimal DG allocation in radial distribution network. in 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020., 9243103, 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Institute of Electrical and Electronics Engineers Inc., pp. 138-143, 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020, Bangkok, Thailand, 15/09/20. https://doi.org/10.1109/SPIES48661.2020.9243103

Rider optimization algorithm for optimal DG allocation in radial distribution network. / Khasanov, Mansur; Kamel, Salah; Hasanien, Hany M. et al.
2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 138-143 9243103 (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Rider optimization algorithm for optimal DG allocation in radial distribution network

AU - Khasanov, Mansur

AU - Kamel, Salah

AU - Hasanien, Hany M.

AU - Al-Durra, Ahmed

PY - 2020/9/15

Y1 - 2020/9/15

N2 - Over the last few years, with a growing interest in energy security and climate change, the integration of renewable energy sources (RES) and energy efficiency, including power loss minimization, are the two pillars of sustainable energy solutions. This paper proposes an application for a recent optimization technique called Rider Optimization Algorithm (ROA). The ROA is inspired by a group of riders. The ROA is applied for determining the optimal allocation of Photovoltaic (PV) and Wind turbine (WT) based distributed generation (DG) units with the aim of minimizing the total power losses. In this regard, the most suitable nodes to place the DGs are identified using Power Loss Sensitivity Factor (PLSF) in order to reduce the search space, then ROA is applied to identify their optimal locations and sizes. The developed technique has been tested on the standard 33-node system. The results obtained by the developed technique are compared with those obtained by other well-known algorithms.

AB - Over the last few years, with a growing interest in energy security and climate change, the integration of renewable energy sources (RES) and energy efficiency, including power loss minimization, are the two pillars of sustainable energy solutions. This paper proposes an application for a recent optimization technique called Rider Optimization Algorithm (ROA). The ROA is inspired by a group of riders. The ROA is applied for determining the optimal allocation of Photovoltaic (PV) and Wind turbine (WT) based distributed generation (DG) units with the aim of minimizing the total power losses. In this regard, the most suitable nodes to place the DGs are identified using Power Loss Sensitivity Factor (PLSF) in order to reduce the search space, then ROA is applied to identify their optimal locations and sizes. The developed technique has been tested on the standard 33-node system. The results obtained by the developed technique are compared with those obtained by other well-known algorithms.

KW - Distributed Generation

KW - Power Loss Sensitivity Factor

KW - Rider Optimization Algorithm

KW - Total Power Loss

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BT - 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020

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ER -

Khasanov M, Kamel S, Hasanien HM, Al-Durra A. Rider optimization algorithm for optimal DG allocation in radial distribution network. In 2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 138-143. 9243103. (2020 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020). doi: 10.1109/SPIES48661.2020.9243103

Rider optimization algorithm for optimal DG allocation in radial distribution network

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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