Distance Protections in the Power System Lines with Connected Wind Farms

Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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Stochastic unit commitment of wind farms integrated in power system

Electric Power Systems Research ◽

10.1016/j.epsr.2010.01.003 ◽

2010 ◽

Vol 80 (9) ◽

pp. 1006-1017 ◽

Cited By ~ 79

Author(s):

H. Siahkali ◽

M. Vakilian

Keyword(s):

Power System ◽

Unit Commitment ◽

Wind Farms ◽

Stochastic Unit Commitment

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Research on Reliability Assessment of Power System with Wind Farms

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.608-609.588 ◽

2012 ◽

Vol 608-609 ◽

pp. 588-591

Author(s):

Wen Jiang ◽

Ye Xia Cheng ◽

Ye Jian Cheng

Keyword(s):

Power System ◽

Wind Farm ◽

Sequential Monte Carlo ◽

Moving Average ◽

Reliability Assessment ◽

Arma Model ◽

Wind Farms ◽

Test System ◽

Wind Speeds ◽

State Models

Due to randomness and fluctuation of wind speed, reliability of power system will be affected severely with increasing wind energy injected into power grid. In order to evaluate the effect on reliability of power system with wind farms, the author considers feature of time-sequential and self-correlation of wind speeds and builds an auto-regressive and moving average (ARMA) model to forecast wind speeds. Combining with state models of conventional generating units, transmission lines and transformers, a time-sequential Monte Carlo simulation reliability model is proposed to do reliability assessment of composite generation and transmission system with wind farm. IEEE-RTS test system is introduced to prove the proposed model. Analysis and comparison of results show that reliability can be improved clearly after integration of wind farm.

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