Optimal Placement of Distributed Energy Resources using Particle Swarm Optimization Techniques: A Review

Mathebula, Tshwarelo; Chowdhury, S.

doi:10.1109/powerafrica49420.2020.9219837

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…Then, the PSO optimization method can be adopted to achieve the optimal beam pointing of each UT. The advantage and detailed description of the PSO algorithm can be found in [33,35,36]. In this paper, we explain how to implement the PSO algorithm to solve the problem defined in (7).…”

Section: Beam Pointing Optimizationmentioning

confidence: 99%

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

He,

Cui,

Wang

et al. 2024

Electronics

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Recently, the low earth orbit (LEO) mega-constellation faces serious time-varying interferences due to spectrum sharing, dense deployment, and high mobility. Therefore, it is important to study the interference avoidance techniques for the dense LEO satellite system. In this paper, the interference situational aware beam pointing optimization technique is proposed. Firstly, the angle of departure (AoD) and angle of arrival (AoA) of the interfering links are obtained to represent the time-varying interference. Then, the interference avoidance problem for dense LEO satellite systems is modeled as a non-convex optimization problem, and a particle swarm optimization (PSO) based method is proposed to obtain the optimal beam pointing of the user terminal (UT). Simulations show that the relative error of the mean signal-to-interference plus noise ratio (SINR) obtained by the proposed method is 0.51%, so the co-channel interference can be effectively mitigated for the dense LEO satellite communication system.

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Section: Beam Pointing Optimizationmentioning

confidence: 99%

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

He,

Cui,

Wang

et al. 2024

Electronics

View full text Add to dashboard Cite

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Real-time Strategy for Voltage Regulation of Distribution Networks Considering the Incomplete Response of Distributed Resources

Tan,

2023

J. Phys.: Conf. Ser.

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To solve the problem of nodes whose voltage exceeds the security constraint in the scenario of massive distributed generation access, a real-time strategy for voltage regulation of the distribution network considering the incomplete response of distributed resources is proposed. The strategy includes two parts: a real-time strategy for voltage regulation of the distribution network and the improvement of the strategy to deal with the incomplete response of distributed resources. Firstly, the real-time voltage autonomy of the distribution network is realized through the distributed resource strategy for voltage regulation; Then, aiming at the incomplete response of distributed resources, the strategy for voltage regulation is improved, and the margin iteration and feedback regulation are added; Finally, based on the IEEE33 node model, we verify the strategy for voltage regulation which is proposed in this paper. The results of the experiment show that the strategy for voltage regulation can effectively solve the problem of distribution network voltage out of limit, and has good anti-interference ability for the incomplete response of distributed resources.

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Optimal Placement of Distributed Energy Resources using Particle Swarm Optimization Techniques: A Review

Cited by 2 publications

References 19 publications

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

Interference Situational Aware Beam Pointing Optimization for Dense LEO Satellite Communication System

Real-time Strategy for Voltage Regulation of Distribution Networks Considering the Incomplete Response of Distributed Resources

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