The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach
Abstract
In this paper, a combination of a fuzzy multiobjective approach and ant colony optimization (ACO) as a metaheuristic algorithm is used to solve the simultaneous reconfiguration and optimal allocation (size and location) of photovoltaic (PV) arrays as a distributed generation (DG) and distribution static compensator (DSTATCOM) as a distribution flexible ac transmission system (DFACT) device in a distribution system. The purpose of this research includes loss reduction, voltage profile (VP) improvement, and increase in the feeder load balancing (LB). The proposed method is validated using the IEEE 33-bus test system and a Tai-Power 11.4-kV distribution system as a real distribution network. The results proved that simultaneous reconfiguration and optimal allocation of PV array and DSTATCOM unit leads to significantly reduced losses, improved VP, and increased LB. Obtained results have been compared with the base value and found that simultaneous placement of PV and DSTATCOM along with reconfiguration is more beneficial than separate single-objective optimization. Also, the proposed fuzzy-ACO approach is more accurate as compared to ACO and other intelligent techniques like fuzzy-genetic algorithm (GA) and fuzzy-particle swarm optimization (PSO).
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
Cites
Zadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Ant system: optimization by a colony of cooperating agents
Dorigo, M., Maniezzo, V., & Colorni, A. (1996) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/3477.484436 · Cited by 12,067
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Network reconfiguration in distribution systems for loss reduction and load balancing
Baran, M. E., & Wu, F. F. (1989) · IEEE Transactions on Power Delivery · doi:10.1109/61.25627 · Cited by 5,077
Optimization, Learning and Natural Algorithms
Dorigo, M. (1992) · Medical Entomology and Zoology · Cited by 3,307
Rao, R. S., Ravindra, K., Satish, K., & Narasimham, S. V. L. (2013) · IEEE Transactions on Power Systems · doi:10.1109/tpwrs.2012.2197227 · Cited by 1,023
Maniezzo, V., Gambardella, L. M., & de Luigi, F. (2004) · Studies in Fuzziness and Soft Computing · doi:10.1007/978-3-540-39930-8_5 · Cited by 403
de Oliveira, L. W., Carneiro, S., de Oliveira, E. J., Pereira, J. L. R., da Silva, I. C., & Costa, J. S. (2010) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2010.01.030 · Cited by 155
Gandomkar, M., & Tolabi, H. B. (2010) · International Conference on Instrumentation, Measurement, Circuits and Systems · Cited by 6
Cited by
Local flexibility markets: Literature review on concepts, models and clearing methods
Jin, X., Wu, Q., & Jia, H. (2020) · Applied Energy · doi:10.1016/j.apenergy.2019.114387 · Cited by 373
A new meta-heuristic optimizer: Pathfinder algorithm
Yapici, H., & Cetinkaya, N. (2019) · Applied Soft Computing · doi:10.1016/j.asoc.2019.03.012 · Cited by 339
Badran, O., Mekhilef, S., Mokhlis, H., & Dahalan, W. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.02.010 · Cited by 214
Ali, A., Mahmoud, K., Raisz, D., & Lehtonen, M. (2021) · IEEE Systems Journal · doi:10.1109/jsyst.2020.2982467 · Cited by 50
Metadata
- Authors
- Bagheri Tolabi, H., Ali, M. H., & Rizwan, M.
- Venue
- IEEE Transactions on Sustainable Energy
- Published
- 2015-01
- Volume
- 6
- Issue
- 1
- Pages
- 210-218
- ISSN
- 1949-3029 (ISSN-L)
- 1949-3037
- OpenAlex
- W2045093680
- Cited by
- 278
- References
- 9
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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: Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach. https://app.cochat.ai/papers/10.1109/tste.2014.2364230
- The paper
- Bagheri Tolabi, H., Ali, M. H., & Rizwan, M. (2015). Simultaneous Reconfiguration, Optimal Placement of DSTATCOM, and Photovoltaic Array in a Distribution System Based on Fuzzy-ACO Approach. IEEE Transactions on Sustainable Energy. https://doi.org/10.1109/tste.2014.2364230
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.