Abstract
As electricity demand is continuously increasing, the complexity and criticality of the power system infrastructure is increasing. After suffering from world’s largest power blackout on 30th and 31st July, 2012, the Indian power grids are now adopting the smart grid technologies to prevent such massive power failures. It initiated with the installation of PMUs on each strategically selected critical location in the entire grid under the Real Time Dynamic State measurements (URTDSM) scheme to attain the complete observability of the system. However, attainment of complete observability further demands selection of accurate and fast SE algorithm which is still a challenging task. The aim of this paper is to recommend the most efficient and accurate state estimator based on Linear State Estimation (LSE) algorithms for efficient real time monitoring and control of the grid, especially for Indian Power Grid. The performance test was conducted on two different SE algorithms, the Weighted Least Square (WLS) algorithm and recursive Kalman Filter algorithm. The test results are obtained on Indian 75-bus transmission system and validation is done by comparing the test results with the results obtained on standard IEEE-39 bus test system. Based on the performance comparison of the two algorithms, the selection of most suitable algorithm to be implemented in Indian power grid is achieved.
Abbreviations
- PMU
-
Phasor Measurement Unit
- URTDSM
-
Unified Real-Time Dynamic State Measurement
- SE
-
State Estimation
- WLS
-
Weighted Least Square
- DKF
-
Discrete Kalman Filter
- EKF
-
Extended Kalman Filter
- RTU
-
Remote Terminal Unit
- SCADA
-
Supervisory Control and Data Acquisition System
- PDC
-
Phasor Data Concentrator
- WAMS
-
Wide Area Monitoring System
- NLDC
-
National Load Dispatch Center
- NR
-
Northern Region
- WR
-
Western Region
- ER
-
Eastern Region
- ILP
-
Integer Linear Programming
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Articles in the same Issue
- Research Articles
- A Real Time Price Based Demand-Response Algorithm for Smart Grids
- Enhanced Model Predictive Current Control Based on Runge–Kutta Approximation for a Voltage Source Inverter
- A Multi-criteria Approach for Distribution Network Expansion Through Pooled MCDEA and Shannon Entropy
- Digital Metering of Electrical Power Components Using Adaptive Non-Uniform Discrete Short Time Fourier Transform
- Algorithm for Determining the State of Impregnated Paper Insulation of High-Voltage Cables
- Experimental and Estimation of Flashover Voltage of Outdoor High Voltage Insulators with Silica Filler Based on Grey Wolf Optimizer
- Investigation of the Temperature Effect on the Electrical Parameters of a Photovoltaic Module at Ouargla City
- Selection of an Efficient Linear State Estimator for Unified Real Time Dynamic State Estimation in Indian Smart Grid
- Impact of Harmonics on Power Transformer Losses and Capacity Using Open DSS
- Voltage Control Methods in the MV Grid with a Large Share of PV
- PV-Battery Hybrid System with Less AH Capacity for Standalone DC Loads