Standing Phase Angle Reduction Based on a Wide Area Monitoring System Using Genetic Algorithm
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Saber Nourizadeh
During power system restoration, it is necessary to check the phase angle between two buses before closing circuit breakers to connect a line between them. A novel approach for reducing large standing phase angle (SPA) based on Genetic Algorithm (GA) is presented in this paper. The proposed approach starts with a state estimation on Wide Area Monitoring System (WAMS) data measurements and considering power system operation and angular stability constraints, seeks an optimal control action scenario for reducing SPA. Since these constraints are evaluated based on WAMS data, the presented approach is considerably high speed and accurate. As an optimization problem, objective function of the proposed approach is to minimize variation from the current state of the power system. Simulation results on the IEEE 118 bus test system clearly show efficiency of the approach.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- 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
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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
