Moger, T and Dhadbanjan, T (2018) Fuzzy-logic-based reactive power and voltage control in grid-connected wind farms to improve steady state voltage stability. [Book Chapter]
Full text not available from this repository.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.
| Item Type: | Book Chapter |
|---|---|
| Publication: | Handbook of Research on Power and Energy System Optimization |
| Publisher: | IGI Global |
| Additional Information: | The copyright for this article belongs to the IGI Global. |
| Keywords: | Computer circuits; Controllers; Electric power system interconnection; Electric power system stability; Electric power transmission networks; Electric utilities; Fuzzy logic; Fuzzy set theory; Linear programming; Power control; Reactive power; Voltage control; Wind power, Comparative analysis; Fuzzy logic approach; Grid connected wind farms; Reactive power controllers; Reactive power optimization; Steady state voltage stabilities; Voltage deviations; Wind generator systems, Electric power system control |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 08 Aug 2022 10:32 |
| Last Modified: | 08 Aug 2022 10:32 |
| URI: | https://eprints.iisc.ac.in/id/eprint/75613 |
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