Effect of fault resistance and grid short circuit MVA on impedance seen by distance relays on lines fed from wind turbine generating units (WTGU)

Srivastava, Sachin; Shenoy, U. Jayachandra; Biswal, Abhinna Chandra; Ganesan, Subramaniam

doi:10.1049/cp.2012.0027

Cited by 7 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It should be noted that the main problem in these kinds of fault location algorithm is usually related to the necessity of an extensive deployment of communication system. In such cases, in the event of communication system failure, the fast and accurate fault location algorithm may fail and grid protection depends only on the over‐current relays to trip in‐zone faults [12, 13].…”

Section: Adaptive Fault Location Of Power Linesmentioning

confidence: 99%

“…The impact of fault resistance is a key factor by assessing one‐end fault location algorithm. The HV line is modelled by first‐order linear differential equation [11, 12]. The line parameters per km are ( r ) and ( l ), with total length ( y )km and the sending and receiving buses voltages are V s j and V e j , respectively.…”

Section: Adaptive Fault Location Of Power Linesmentioning

confidence: 99%

See 1 more Smart Citation

Enhanced fault location algorithm for smart grid containing wind farm using wireless communication facilities

Mahfouz

El-Sayed

2016

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

Modern smart grid (SG) should efficiently accommodate the renewable resources such as wind energy under different operation conditions. High level of wind energy penetration into SG results in operation constraints to avoid any tripping out of wind generators from the grid during fault conditions. Therefore, following the fault occurrence, the utility has to restore power as quickly as possible. This requires accurate and efficient fault location algorithms to have appropriate action for rapid service restoration. This study presents two fault location algorithms taking into account the dynamic behaviour of wind farm generation. In the first conventional algorithm, fault location is estimated using the recorded voltage and current signals at one end of the line. While second algorithm is two-end fault location based on the synchronised voltage and current signals from the line ends. Calculations are carried out in time domain within half cycle using movable windows for recorded signals. The obtained results of two-end algorithm are superior and more accurate compared with the conventional one-end fault location algorithm. This is attributed to SG facilities with modern communication links and data synchronisation technology. The proposed algorithms are tested through grid and wind farm simulations to justify their effectiveness. NomenclatureP a aerodynamic power (W) ρ air density (1.25 kg/m 3 ) C p aerodynamic power performance coefficient A rotor swept area (m 2 ) V w wind speed (m/s) ω rotor rotating speed (rad/s) l tip-speed ratio β pitch angle (radiant) R rotor radius (m) r transmission line resistance per km (Ω/km) l transmission line inductance per km (H/km) y total transmission line length (km) V sj sampled sending bus voltage (V) i sj sampled sending bus current (A) V ej sampled receiving bus voltage (V) i ej sampled receiving bus current (A) x fault location seen from sending end (km) Z eff effective fault impedance (Ω) r f fault resistance (Ω)

show abstract

Section: Adaptive Fault Location Of Power Linesmentioning

confidence: 99%

Section: Adaptive Fault Location Of Power Linesmentioning

confidence: 99%