Optimal Power Flow Analysis With Renewable Energy Resource Uncertainty: A Hybrid AEO-CGO Approach-Reference-Cited by-同舟云学术

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Optimal Power Flow Analysis With Renewable Energy Resource Uncertainty: A Hybrid AEO-CGO Approach

Published:2023 Issue: Volume:11 Page:122926-122961
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hassan Mohamed H.¹^ORCID,Kamel Salah²^ORCID,Alateeq Ayoob³^ORCID,Alassaf Abdullah³^ORCID,Alsaleh Ibrahim³^ORCID

Affiliation:

1. Ministry of Electricity and Renewable Energy, Cairo, Egypt

2. Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan, Egypt

3. Department of Electrical Engineering, College of Engineering, University of Hail, Hail, Saudi Arabia

Funder

Scientific Research Deanship at University of Hail, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10302280.pdf?arnumber=10302280

Reference50 articles.

1. Optimal power flow of power systems with controllable wind‐photovoltaic energy systems via differential evolutionary particle swarm optimization

2. Optimal power flow solution based on gorilla troops optimization technique considering uncertainty of renewable energy sources: A case study of Adrar’s isolated power network

3. An application of improved salp swarm algorithm for optimal power flow solution considering stochastic solar power generation

4. Development and application of equilibrium optimizer for optimal power flow calculation of power system

5. Novel Design of Slim Mould Optimizer for the Solution of Optimal Power Flow Problems Incorporating Intermittent Sources: A Case Study of Algerian Electricity Grid

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