This research aims to analyze the impact of Distributed Generation (DG) on congestion line mitigation, power loss reduction, and voltage profile enhancement for Iraq’s 400kV national grid system. The suggested Particle Swarm Optimization (PSO) and Exchange Market Algorithm (EMA) are implemented to specify the optimum size and location based on an analytic approach depended on voltage, active losses, and congestion lines as fitness. Then it is added to the super 400kV Iraqi grid. The results demonstrate the efficiency of the proposed approach in determining the optimum size and location, decreasing the congestion line, reducing power losses, reducing line flow, and improving the bus voltage profile. The results are obtained with proposed algorithms implementation by using programming language within MATLAB /R2018a environment.
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11 October 2021
2ND INTERNATIONAL CONFERENCE ON ENGINEERING & SCIENCE
26–27 May 2021
Al-Samawa, Iraq
Research Article|
October 11 2021
Enhancing and improving the performance of the Iraqi super grid 400kV by connection distributed generation based on optimization techniques Available to Purchase
Ihsan Mousa Jawad;
Ihsan Mousa Jawad
a)
Department of Electrical Engineering, College of Engineering, University of Al-Mustansiriyah
, Baghdad-IRAQ
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Wafaa Saeed Majeed
Wafaa Saeed Majeed
b)
Department of Electrical Engineering, College of Engineering, University of Al-Mustansiriyah
, Baghdad-IRAQ
Search for other works by this author on:
Ihsan Mousa Jawad
a)
Wafaa Saeed Majeed
b)
Department of Electrical Engineering, College of Engineering, University of Al-Mustansiriyah
, Baghdad-IRAQ
AIP Conf. Proc. 2404, 080023 (2021)
Citation
Ihsan Mousa Jawad, Wafaa Saeed Majeed; Enhancing and improving the performance of the Iraqi super grid 400kV by connection distributed generation based on optimization techniques. AIP Conf. Proc. 11 October 2021; 2404 (1): 080023. https://doi.org/10.1063/5.0071004
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