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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04597-w
Abstract: A new meta-heuristic method, comprehensive teaching learning harmony search optimization algorithm (CTLHSO), is developed in this paper for the simultaneous reconfiguration and optimal allocation of distributed generation resources in radial distribution systems. The proposed method… read more here.
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Published in 2022 at "Cerebral cortex"
DOI: 10.1093/cercor/bhab473
Abstract: Intelligence describes the general cognitive ability level of a person. It is one of the most fundamental concepts in psychological science and is crucial for the effective adaption of behavior to varying environmental demands. Changing… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2964848
Abstract: Optimal Network Reconfiguration (NR) is a well-accepted approach to minimize power loss and enhance voltage profile in the Electrical Distribution Networks (EDN). Since the NR problem contains huge combinational search space, most researchers consider the… read more here.
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997378
Abstract: As the distributed generation (DG) in a power supply and the user load demand constantly change in an actual distribution network, multiobjective optimal network reconfiguration considering variations in load and DG has become a major… read more here.
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213803
Abstract: Network reconfiguration is a significant strategy to enhance the resiliences of distribution systems against contingencies. This paper proposes a two-stage robust network reconfiguration model to maximize the power supply under the uncertain failures of both… read more here.
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Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3103934
Abstract: Distribution network reconfiguration is an effective method to face the problem of power fluctuation in a power system. Previous studies have focused on mathematical optimization techniques with complex modeling processes and heuristic algorithms with time-consuming… read more here.
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Published in 2025 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2025.3574208
Abstract: Dynamic distribution network reconfiguration (DDNR) is a widely used technique for the secure and economic operation of power distribution networks (PDNs), especially in the presence of high-penetration renewable energy sources (RESs). DDNR is realized by… read more here.
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Published in 2018 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2018.2819942
Abstract: This paper develops an effective model for microgrid optimal scheduling with dynamic network reconfiguration. Network reconfiguration can effectively alter local power flow and thus provide an opportunity to reduce microgrid distribution network losses during grid-connected… read more here.
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Published in 2022 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2021.3098771
Abstract: Security-constrained unit commitment (SCUC) model is used for power system day-ahead scheduling. However, current SCUC model uses a static network to deliver power and meet demand optimally. A dynamic network can provide a lower optimal… read more here.
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Published in 2024 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2023.3296463
Abstract: Network reconfiguration can maintain the optimal operation of distribution network with increasing penetration of distributed generations (DGs). However, network reconfiguration problems may not be solved quickly by traditional methods in large-scale distribution networks. In this… read more here.
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Published in 2024 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2023.3324474
Abstract: Dynamic network reconfiguration (DNR) and volt-VAR control (VVC) are widely used techniques for the secure and economic operation of active distribution networks (ADNs). Their significance is rising unprecedently due to the increasing integration of renewables… read more here.