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This paper proposes the computation of indices capable of indicating global/local data deficiencies for state estimation. These indices reflect more appropriately the current condition of a metering system to cover the entire power network. For a given measurement set, critical conditions for state estimation (in terms of network observability and bad data processing) are analyzed. Numerical results...
The electric power grid is a complex interconnected system that may be subjected to blackouts and external disasters. It is necessary for the utilities to restore their power system as quickly as possible during extreme conditions. The exact state of the electric grid is needed to perform any corrective or preventive action during such conditions. It is possible to get a reduced set of data or corrupted...
This paper proposes a methodology for providing real-time high quality pseudo-measurements to be used by the state estimation function. A forecasting step is added to the estimation process in which one-step-ahead forecasts, obtained considering recent past state estimation results, are adopted as pseudo-measurements. The model used to make forecasts is based on an artificial neural network. Test...
Summary form only given. Distributed measurement architecture, due to its efficiency, is used to monitor the power quality in the electric systems. This paper introduces a novel algorithm to determine the optimum allocations of power quality monitors to reduce the cost of the distributed monitoring system taking into account the data redundancy. The optimization problem is formulated as a covering...
This paper presents a new state estimation method in rectangular coordinates to solve the problem of lacking data redundancy of wide-area measurement/monitoring system (WAMS). This method utilizes all the measurements of WAMS and partial equivalent current phasor measurements transformed by flow measurements from SCADA system. The iterative formula is proposed and analyzed based on these mixed measurements...
Many functions within a substation can be performed more efficiently if all the substation data is collected from and shared among intelligent electronic devices (IEDs). Gathered measurements and apparatus statuses can be processed by (local) substation computer(s). Processing includes data consistency checking, switching sequence monitoring, predicting switching outcomes, etc. Processed data may...
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