Abstract
In India, Electric power system network becomes very complex and Flexible AC transmission Systems (FACTS) controllers are deployed for overall control of system. In this paper, most efficient FACTS controller Unified Power Flow Controllers (UPFC) is used for studying the dynamic control of reactive power of RES (Renewable Energy Sources)-based hybrid isolated power system (HIPS). The extensive time-domain simulations are carried out in the proposed HIPS test system. This paper presents the reactive power compensation capability and illustrating the other control features of this controller. UPFC has been implemented in test system for dynamic compensation and improving voltage regulation. The present paper describes the analysis of combination of the UPFC, machines, and the network has been done in SIM POWER SYSTEM/MATLAB software.
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Appendix
Appendix
System parameter | HIPS | Synchronous generator | |
|---|---|---|---|
RES | 100 KW | P SG, KW | 0.5 |
Diesel sources | 200 KW | Q SG, KW | 0.3 |
Base power | 200 KVA | V (pu) | 1.0 |
Load | 200 KW | E q (pu) | 1.113 |
Pitch angle regulator gains, K p = 5, K i = 25, max pitch angle = 45o | |||
\( X_{d}^{'} = 0. 2 9 6, \, X_{d}^{''} = 0. 1 7 7, \, X_{\text{q}} = 1.0 4, \, X_{q}^{''} = 0. 1 7 7 \) | |||
\( T_{d}^{'} = 3. 7 { } {\text{s}}, \, T_{d}^{''} = 0.0 5\; {\text{s}}, \, T_{{q{\text{o}}}} = 0.0 5 { } {\text{s}} \) | |||
UPFC data | Induction generator | ||
|---|---|---|---|
Series controller data: | Shunt controller data | Stator resistance = 0.004843 Pu | K p = 5 |
R se: 0.16 pu, X se: 0.016 pu | R sh: 0.22 pu, X sh: 0.22 pu, | Rotor resistance = 0.004377 Pu | K i = 25 |
K pse: 0.025, K ise: 1.5 | K psh: 0.01, K ish: 20 | Stator leakage reactance = 0.01248 Pu | Rotor leakage reactance = 0.0179 |
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Abhishek Gandhar, Balwinder Singh, Rintu Khanna (2017). Control of Reactive Power of RES-Based Hybrid Isolated Power System Using UPFC. In: Singh, R., Choudhury, S. (eds) Proceeding of International Conference on Intelligent Communication, Control and Devices . Advances in Intelligent Systems and Computing, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-10-1708-7_46
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DOI: https://doi.org/10.1007/978-981-10-1708-7_46
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