Probabilistic optimal power flow in power systems with Renewable energy integration using Enhanced walrus optimization algorithm-Reference-Cited by-同舟云学术

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Probabilistic optimal power flow in power systems with Renewable energy integration using Enhanced walrus optimization algorithm

Published:2024-02 Issue: Volume: Page:102663
ISSN:2090-4479
Container-title:Ain Shams Engineering Journal
language:en
Short-container-title:Ain Shams Engineering Journal

Author:

Hasanien Hany M.,Alsaleh Ibrahim^ORCID,Ullah Zia^ORCID,Alassaf Abdullah

Publisher

Elsevier BV

Reference50 articles.

1. Planning optimization and stochastic analysis of RE-DGs for techno-economic benefit maximization in distribution networks;Ullah;Internet of Things,2020

2. Online optimization in power systems with high penetration of renewable generation: advances and prospects;Wang;IEEE/CAA J Autom Sin,2023

3. Advanced studies for probabilistic optimal power flow in active distribution networks: a scientometric review;Ullah;IET Gener Transm Distrib,2022

4. Enhanced coati optimization algorithm-based optimal power flow including renewable energy uncertainties and electric vehicles;Hasanien;Energy,2023

5. Grid Integration challenges and solution strategies for solar PV systems: a review;Shafiullah;IEEE Access,2022

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1. Dynamic operation of distribution grids with the integration of photovoltaic systems and distribution static compensators considering network reconfiguration;Energy Reports;2024-12

2. Online probabilistic energy flow for hydrogen-power-heat system based on multi-parametric programming;Applied Energy;2024-10

3. Enhanced growth optimizer algorithm with dynamic fitness-distance balance method for solution of security-constrained optimal power flow problem in the presence of stochastic wind and solar energy;Applied Energy;2024-08

4. Optimized attention neural network based joint link misalignment and beam divergence power optimization for underwater optical wireless communications;Optical and Quantum Electronics;2024-05-23

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