Linear Programming Approach for Power System State Estimation Using Upper Bound Optimization Techniques
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Thukaram Dhadbanjan
State estimation plays an important role in real time security monitoring and control of power systems. There are many problems in the implementation of state estimator for large scale networks due to measurement errors, weights given and the numerical ill-conditioning associated with the solution techniques. In this paper a new formulation using linear programming approach is presented. The formulation is devoid of weights and errors associated with the measurements are taken care of in constraints. The non linear problem is linearized at previous operating state and constraints are set up using flow mismatches. The implementation of the formulation exploits sparse features of the network matrices and avoids matrix inversions. Upper bound optimization technique is employed to solve the linear programming problem. Illustration of the proposed approach on sample 3-bus and 6-bus systems and a practical Indian Southern grid 72 bus equivalent system are presented.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Articles in the same Issue
- Article
- Dual Voltage Driveline for Vehicle Applications
- Linear Programming Approach for Power System State Estimation Using Upper Bound Optimization Techniques
- Evaluation and Improvement of Total Transfer Capability in an Interconnected Power System
- A Fast Restoration Strategy in Distribution Systems Using an Enhanced Differential Evolution Approach
- Generation Investment and Risks Modeling in a Deregulated Electricity Market
- Standing Phase Angle Reduction Based on a Wide Area Monitoring System Using Genetic Algorithm
- Propagation Characteristics of Partial Discharge Signals
