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| Content Provider | IET Digital Library |
|---|---|
| Author | Müller, Heloisa H. Castro, Carlos A. Dotta, Daniel |
| Abstract | The new grid operation constraints, allied to the substation automation and intelligence, require the state estimation (SE) to work even more efficiently, with reliability and accuracy. The proposed method for optimally allocating existing phasor measurement unit (PMU) channels and their resources at substations ensures reliability in the SE process even in cases of equipment malfunctioning, and guarantees the quality improvement of the SE. The proposed algorithm has two stages. In the first stage, a genetic algorithm optimally allocates the PMUs. In the second stage, a heuristic method optimises measurement and channel allocation. Equipment failure, missing data, observability issues, methods to reduce critical sets in SE results to preserve the system's observability, are also discussed. |
| Starting Page | 2034 |
| Ending Page | 2045 |
| Page Count | 12 |
| ISSN | 17518687 |
| Volume Number | 14 |
| e-ISSN | 17518695 |
| Issue Number | Issue 11, Jun (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/14/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0760 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2020-01-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Channel Allocation Control Engineering Computing Control of Electric Power System Equipment Failure Equipment Malfunctioning Existing Phasor Measurement Unit Channel Genetic Algorithm Grid Operation Constraint Heuristic Method Optimises Measurement Optimisation Optimisation Technique Phasor Measurement PMU Channel Power Engineering Computing Power System Measurement Power System Measurement And Metering Power System Simulation Power Transmission, Distribution And Supply Quality Improvement Reliability SE Process SE Result State Estimation Substation Automation Substations Topology Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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