Application of Slime Mould Algorithm for Optimal Allocation of Datacom and Pv System in Real Egyptian Radial Network

Hamed, Amal M. Abd El; Ebeed, Mohamed; Refai, Ahmed; Sattar, Montaser Abd El; Elbaset, Adel A.; Ahmed, Taiea A.

doi:10.21608/sej.2021.155557

Cited by 5 publications

(1 citation statement)

References 28 publications

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“…The system collapse phenomenon was often tested, which often leads to a partial or complete collapse of the system, which greatly impairs the socio-economic development of the country and the industrialization of the interconnected Egyptian power system [17]. The slime mold algorithm in nature oscillation mode was used to estimate the optimal location and size of PV power generation as well as DSTATCOM in the real distribution network East Delta Network [18]. The best location for solar PV is selected using a weighted multi-objective method followed by the PSO algorithm [19].…”

Section: Related Workmentioning

confidence: 99%

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

et al. 2023

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The 2022 United Nations Climate Change Conference (COP27) recommended that Egypt be converted to green energy, in addition to increasing the demand for annual energy consumption, which will lead to an increase in the use of renewable energy sources (RES) in Egypt. The Egyptian Ministry of Energy and Electricity plans to build RES (photovoltaic systems and wind farms) connected to the Egyptian power system (EPS). It is a defect to choose the position and size of the RES based on only power calculations because the RES is an intermittent source. This paper presents a modified analytical energy technique for locating RES in IEEE 33-bus and 69-bus distribution networks and a realistic 25-bus 500 kV EPS. An analytical multi-objective function has been developed to determine the optimal locations of DGs or RESs based on power losses and annual energy loss calculations of the system depending on weather conditions. The efficiency and feasibility of the proposed algorithm based on the IEEE 33-bus and 69-bus distribution networks and the realistic 25-bus 500 kV EPS have been tested and compared with PSO and GA. The impact of RESs on the performance of the 25-bus 500 kV EPS has been investigated based on annual energy losses and operation stability depending on weather conditions. The results showed that the proposed technique used these effective values to obtain optimal weather-adjusted locations. The optimal locations of PV systems or wind systems based on energy calculation improved the voltage profile better than power calculation by about 2%, and the annual energy losses decreased by about 7%. The performance of the 25-bus 500 kV EPS, due to the addition of RES, resulted in a decrease in the annual energy losses of 47% and an improvement in the voltage profile and system stability.

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Section: Related Workmentioning

confidence: 99%

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

et al. 2023

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Design optimization of OR-PMSM-IPIM using modified slime mold optimization technique for UAV application

Verma,

Sreejeth,

Singh

2024

Electr Eng

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Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications

Gharehchopogh

Uçan

İbrikçi

et al. 2023

Arch Computat Methods Eng

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Meta-heuristic algorithms have a high position among academic researchers in various fields, such as science and engineering, in solving optimization problems. These algorithms can provide the most optimal solutions for optimization problems. This paper investigates a new meta-heuristic algorithm called Slime Mould algorithm (SMA) from different optimization aspects. The SMA algorithm was invented due to the fluctuating behavior of slime mold in nature. It has several new features with a unique mathematical model that uses adaptive weights to simulate the biological wave. It provides an optimal pathway for connecting food with high exploration and exploitation ability. As of 2020, many types of research based on SMA have been published in various scientific databases, including IEEE, Elsevier, Springer, Wiley, Tandfonline, MDPI, etc. In this paper, based on SMA, four areas of hybridization, progress, changes, and optimization are covered. The rate of using SMA in the mentioned areas is 15, 36, 7, and 42%, respectively. According to the findings, it can be claimed that SMA has been repeatedly used in solving optimization problems. As a result, it is anticipated that this paper will be beneficial for engineers, professionals, and academic scientists.

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Application of Slime Mould Algorithm for Optimal Allocation of Datacom and Pv System in Real Egyptian Radial Network

Cited by 5 publications

References 28 publications

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System

Design optimization of OR-PMSM-IPIM using modified slime mold optimization technique for UAV application

Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications

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