A Quasi-Oppositional Heap-Based Optimization Technique for Power Flow Analysis by Considering Large Scale Photovoltaic Generator

Bibliographic Details
Title: A Quasi-Oppositional Heap-Based Optimization Technique for Power Flow Analysis by Considering Large Scale Photovoltaic Generator
Authors: Vedik Basetti, Shriram S. Rangarajan, Chandan Kumar Shiva, Sumit Verma, Randolph E. Collins, Tomonobu Senjyu
Source: Energies, Vol 14, Iss 17, p 5382 (2021)
Publisher Information: MDPI AG, 2021.
Publication Year: 2021
Collection: LCC:Technology
Subject Terms: load flow, differential evolution, photovoltaic generator, multiple solutions, high R/X ratio, and loadability limits, Technology
More Details: Load flow analysis is an essential tool for the reliable planning and operation of interconnected power systems. The constant increase in power demand, apart from the increased intermittency in power generation due to renewable energy sources without proportionate augmentation in transmission system infrastructure, has driven the power systems to function nearer to their limits. Though the power flow (PF) solution may exist in such circumstances, the traditional Newton–Raphson based PF techniques may fail due to computational difficulties owing to the singularity of the Jacobian Matrix during critical conditions and faces difficulties in solving ill-conditioned systems. To address these problems and to assess the impact of large-scale photovoltaic generator (PVG) integration in power systems on power flow studies, a derivative-free quasi-oppositional heap-based optimization (HBO) (QOHBO) technique is proposed in the present paper. In the proposed approach, the concept of quasi-oppositional learning is applied to HBO to enhance the convergence speed. The efficacy and effectiveness of the proposed QOHBO-PF technique are verified by applying it to the standard IEEE and ill-conditioned systems. The robustness of the algorithm is validated under the maximum loadability limits and high R/X ratios, comparing the results with other well-known methods suggested in the literature. The results thus obtained show that the proposed QOHBO-PF technique has less computation time, further enhancement of reliability in the presence of PVG, and has the ability to provide multiple PF solutions that can be utilized for voltage stability analysis.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1996-1073
Relation: https://www.mdpi.com/1996-1073/14/17/5382; https://doaj.org/toc/1996-1073
DOI: 10.3390/en14175382
Access URL: https://doaj.org/article/0454a75e498b42399f11036d59f0523e
Accession Number: edsdoj.0454a75e498b42399f11036d59f0523e
Database: Directory of Open Access Journals
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More Details
ISSN:19961073
DOI:10.3390/en14175382
Published in:Energies
Language:English