| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [1] Sao Paulo State Univ UNESP FEIS, Dept Elect Engn, BR-15385000 Ilha Solteira - Brazil
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON SMART GRID; v. 7, n. 1, p. 366-375, JAN 2016. |
| Web of Science Citations: | 16 |
| Abstract | |
Since the origin of energy management systems, state estimation applications have aided in automatic power system operations, mainly for transmission systems. Currently, however, smart grid concepts are modifying the behavior of distribution systems through a rapid increase of controllable distributed generators, demand response, and electric vehicles. Consequently, the advanced metering infrastructure is providing a large amount of synchronized metering data with high accuracy and resolution, which favors the development of state estimation procedures to sustain distribution management systems. Therefore, this paper presents the formulation of a novel algorithm for state estimation solution in distribution networks using the Hamiltonian cycle theory, where the network states are quickly obtained through a calculation scheme under the normal operating conditions. (AU) | |
| FAPESP's process: | 14/22377-1 - Development Proposal of the Self-Healing Technique on Smart Grid using a Multi-Agent System |
| Grantee: | Jonatas Boas Leite |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 13/23590-8 - Development of a distribution energy management system simulator for Smart Grids |
| Grantee: | José Roberto Sanches Mantovani |
| Support Opportunities: | Regular Research Grants |