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Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability

Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability

Tukaram Moger, Thukaram Dhadbanjan
Copyright: © 2018 |Pages: 54
ISBN13: 9781522539353|ISBN10: 1522539352|EISBN13: 9781522539360
DOI: 10.4018/978-1-5225-3935-3.ch001
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MLA

Moger, Tukaram, and Thukaram Dhadbanjan. "Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability." Handbook of Research on Power and Energy System Optimization, edited by Pawan Kumar, et al., IGI Global, 2018, pp. 1-54. https://doi.org/10.4018/978-1-5225-3935-3.ch001

APA

Moger, T. & Dhadbanjan, T. (2018). Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability. In P. Kumar, S. Singh, I. Ali, & T. Ustun (Eds.), Handbook of Research on Power and Energy System Optimization (pp. 1-54). IGI Global. https://doi.org/10.4018/978-1-5225-3935-3.ch001

Chicago

Moger, Tukaram, and Thukaram Dhadbanjan. "Fuzzy-Logic-Based Reactive Power and Voltage Control in Grid-Connected Wind Farms to Improve Steady State Voltage Stability." In Handbook of Research on Power and Energy System Optimization, edited by Pawan Kumar, et al., 1-54. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-3935-3.ch001

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Abstract

This chapter presents a fuzzy logic approach for reactive power and voltage control in grid-connected wind farms with different types of wind generator units to improve steady state voltage stability of power systems. The load buses' voltage deviation is minimized by changing the reactive power controllers according to their sensitivity using fuzzy set theory. The proposed approach uses only a few high sensitivity controllers to achieve the desired objectives. A 297-bus-equivalent grid-connected wind system and a 417-bus-equivalent grid-connected wind system are considered to present the simulation results. To prove the effectiveness of the proposed approach, a comparative analysis is also carried out with the conventional linear-programming-based reactive power optimization technique. Results demonstrated that the proposed approach is more effective in improving the system performance as compared with the conventional existing techniques.

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