The DOI matches its Crossref record.
A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions
Open accessAbstract
This paper proposes a simulated annealing (SA)-based global maximum power point tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common perturb and observe MPPT technique and the particle swarm optimization method for GMPPT. The performance is assessed by considering the time taken to converge and the number of sample cases where the technique converges to the GMPP. Simulation results indicate the improved performance of the SA-based GMPPT algorithm, with arbitrarily selected parameters, in tracking to the global maxima in a multiple module PV system which experiences PSC. Experimental validation of the technique is presented based on PV modules that experience nonuniform environmental conditions. Additionally, studies regarding the influence of the key parameters of the SA-based algorithm are described. Simulation and experimental results verify the effectiveness of the proposed GMPPT method.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
An Overview of Artificial Intelligence Applications for Power Electronics
Zhao, S., Blaabjerg, F., & Wang, H. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2020.3024914 · Cited by 947
Li, H., Yang, D., Su, W., Lu, J., & Yu, X. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2829668 · Cited by 508
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Yang, B., Wang, J., Zhang, X., Yu, T., Yao, W., Shu, H., Zeng, F., & Sun, L. (2020) · Energy Conversion and Management · doi:10.1016/j.enconman.2020.112595 · Cited by 382
Bi, J., Yuan, H., Duanmu, S., Zhou, M., & Abusorrah, A. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3024223 · Cited by 365
Biobjective Task Scheduling for Distributed Green Data Centers
Yuan, H., Bi, J., Zhou, M., Liu, Q., & Ammari, A. C. (2021) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2019.2958979 · Cited by 138
Metadata
- Authors
- Lyden, S., & Haque, M. E.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2016-06
- Volume
- 31
- Issue
- 6
- Pages
- 4171-4181
- ISSN
- 0885-8993 (ISSN-L)
- 1941-0107
- OpenAlex
- W2243718034
- Cited by
- 248
- References
- 0
- FWCI
- 8.11
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions. https://app.cochat.ai/papers/10.1109/tpel.2015.2468592
- The paper
- Lyden, S., & Haque, M. E. (2016). A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2015.2468592
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.