A Smart Under-Frequency Load Shedding Scheme based on Takagi-Sugeno Fuzzy Inference System and Flexible Load Priority

This paper proposes a new smart under frequency load shedding (UFLS) scheme, based on Takagi-Sugeno (TS) fuzzy inference system and flexible load priority. The proposed scheme consists of two parts. First part consists of fuzzy load shed amount estimation module (FLSAEM) which uses TS-fuzzy to estimate the amount of load shed and sends its value to accurate load shedding module (ALSM) to perform accurate load shedding using flexible load priority. The performance of the proposed scheme is tested for intentional islanding case and increment of sudden load in the system. Moreover, the response of the proposed scheme is compared with adaptive UFLS scheme to highlight its advantages. The simulation results show that the proposed UFLS scheme provides the accurate load shedding due to advantage of flexible priority whereas adaptive UFLS scheme due to fixed load priority does not succeed to achieve accurate load shedding.

[1]  Haidar Samet,et al.  Coordinated under frequency load and capacitor shedding for bulk power systems , 2013 .

[2]  Zhe Chen,et al.  Underfrequency Load Shedding for an Islanded Distribution System With Distributed Generators , 2010, IEEE Transactions on Power Delivery.

[3]  Nima Amjady,et al.  Event-based remedial action scheme against super-component contingencies to avert frequency and voltage instabilities , 2014 .

[4]  Rafael Mihalic,et al.  A novel approach to underfrequency load shedding , 2011 .

[5]  Rafael Mihalic,et al.  Predictive underfrequency load shedding scheme for islanded power systems with renewable generation , 2015 .

[6]  A.A. Mohd Zin,et al.  A review of under-frequency load shedding scheme on TNB system , 2004, PECon 2004. Proceedings. National Power and Energy Conference, 2004..

[7]  James D. McCalley,et al.  Using a neural network to predict the dynamic frequency response of a power system to an under-frequency load shedding scenario , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[8]  Zita Vale,et al.  An integrated approach for distributed energy resource short-term scheduling in smart grids considering realistic power system simulation , 2012 .

[9]  Abd Halim Abu Bakar,et al.  A fuzzy based load frequency control for distribution network connected with mini hydro power plant , 2014, J. Intell. Fuzzy Syst..

[10]  M. Karimi,et al.  A fuzzy Based Under-Frequency Load Shedding Scheme for islanded distribution network connected with DG , 2012 .

[11]  J. A. Laghari,et al.  Application of computational intelligence techniques for load shedding in power systems: A review , 2013 .

[12]  Zhao Yang Dong,et al.  Real-time prediction of event-driven load shedding for frequency stability enhancement of power systems , 2012 .

[13]  Cheng-Ting Hsu,et al.  Adaptive load shedding for an industrial petroleum cogeneration system , 2011, Expert Syst. Appl..

[14]  V. Terzija,et al.  Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation , 2006, IEEE Transactions on Power Systems.

[15]  J. A. Laghari,et al.  Computational Intelligence based techniques for islanding detection of distributed generation in distribution network: A review , 2014 .

[16]  Ying-Yi Hong,et al.  Multiobjective Underfrequency Load Shedding in an Autonomous System Using Hierarchical Genetic Algorithms , 2010, IEEE Transactions on Power Delivery.

[17]  Elham B. Makram,et al.  Probability analysis of distributed generation for island scenarios utilizing Carolinas data , 2014 .

[18]  Wei Liu,et al.  Multi-stage underfrequency load shedding for islanded microgrid with equivalent inertia constant analysis , 2013 .

[19]  F. D. Galiana,et al.  Under-Frequency Load Shedding Via Integer Programming , 2012, IEEE Transactions on Power Systems.

[20]  Denis Vinicius Coury,et al.  A new artificial neural network based method for islanding detection of distributed generators , 2016 .

[21]  D. Agoris,et al.  Method Combining ANNs and Monte Carlo Simulation for the Selection of the Load Shedding Protection Strategies in Autonomous Power Systems , 2006, IEEE Transactions on Power Systems.

[22]  U Rudez,et al.  Analysis of Underfrequency Load Shedding Using a Frequency Gradient , 2011, IEEE Transactions on Power Delivery.

[23]  A.A.M. Zin,et al.  Static and dynamic under-frequency load shedding: a comparison , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..