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An optimized criterion for line selection based on zero-sequence admittances for high-resistance SPG faults in the intelligent grounding distribution system
In the case of a single-phase grounding (SPG) fault in the intelligent grounding distribution system, this paper analyzes the change features of the fault lines’ and the non-fault lines’ zero-sequence admittance amplitudes and phase angles before and after the removal of the busbar grounding arc quenching device. Furthermore, the paper puts forward a new criterion for line selection for SPG faults based on the system’s and the lines’ zero-sequence admittances. Applicable to the intelligent grounding distribution system, this criterion fixes the problems of potential failure protection and poor sensitivity of existing protective methods in the case of high-resistance grounding. In addition, it is superior and exclusive for unifying the action thresholds for all lines in the system. In the simulation experiment, different transition resistances and different locations of the fault point are input to understand their impacts on the criterion and verify its effectiveness and reliability. The simulation results show that this criterion is insusceptible to the fault’s location and that the selection result will become more stable and reliable as the transition resistance rises. This criterion is highly serviceable in practical engineering.
Journal Article
Peer review declaration
All papers published in this volume of Journal of Physics: Conference Series have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind Conference submission management system: https://hervicon.sumdu.edu.ua/en/ • Number of submissions received: 70 • Number of submissions sent for review: 58 • Number of submissions accepted: 51 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 73% • Average number of reviews per paper: 2 • Total number of reviewers involved: 28 Any additional info on review process: Short description of review criteria: 1. Technical criteria (accuracy and correctness, readability and discussion of concepts, suitable references). 2. Quality criteria (novelty, scientific and practical interest of the results). 3. Presentation criteria (title - appropriate for the content; abstract - essential information; diagrams, figures, tables and captions-essential and clear; text and mathematics-brief and clear; conclusion - key points stand out). Contact person for queries: Andriy Zahorulko, Sumy State University, a.zagorulko@omdm.sumdu.edu.ua
Journal Article
Peer review declaration
All papers published in this volume of IOP Conference Series: Materials Science and Engineering has been peer reviewed through processes administered by the Editors. Reviews were conducted by experts referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.: • Type of peer review: Double-blind (Conference reviewers and iThenticate system) • Conference submission management system: Conference Management Toolkit (CMT) • Number of submissions received: 12 full papers and 12 abstracts • Number of submissions sent for review: 12 full papers • Number of submissions accepted: 7 full papers • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 58% • Average number of reviews per paper: 3 • Total number of reviewers involved: 58 • Any additional info on review process: The papers were evaluated based on the technical criteria, quality criteria and presentation criteria. The referees argued detailed their reviews and provided an overall evaluation (strong accept, accept, weak accept, weak reject, reject, strong reject), specifying their confidence (expert, high, medium, low, none) regarding qualifications to review the allocated paper. • Contact person for queries: Ms. Alice Liu; alice@isaeri.org
Journal Article
Financial decision aid using multiple criteria : recent models and applications
This volume highlights recent applications of multiple-criteria decision-making (MCDM) models in the field of finance. Covering a wide range of MCDM approaches, including multiobjective optimization, goal programming, value-based models, outranking techniques, and fuzzy models, it provides researchers and practitioners with a set of MCDM methodologies and empirical results in areas such as portfolio management, investment appraisal, banking, and corporate finance, among others. The book addresses issues related to problem structuring and modeling, solution techniques, comparative analyses, as well as combinations of MCDM models with other analytical methodologies.
Book
Peer review declaration
All papers published in this volume of IOP Conference Series: Materials Science and Engineering have been peer reviewed through processes administered by the Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing. • Type of peer review: Single-blind • Conference submission management system: Easychair.org • Number of submissions received: 58 • Number of submissions sent for review: 58 • Number of submissions accepted: 26 • Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 45% • Average number of reviews per paper: 2 • Total number of reviewers involved: 47 • Any additional info on review process: The papers were evaluated based on the technical criteria, quality criteria and presentation criteria. The referees argued detailed their reviews and provided an overall evaluation (strong accept, accept, weak accept, borderline paper, weak reject, reject, strong reject), specifying their confidence (expert, high, medium, low, none) regarding qualifications to review the allocated paper. For each paper, the similarity index was determined by the organisers using Turnitin software at Universiti Malaysia Pahang. • Contact person for queries: Associate Prof. Dr Devarajan Ramasamy; deva@ump.edu.my
Journal Article