Frequency stabilization of hydro–hydro power system using hybrid bacteria foraging PSO with UPFC and HAE

Abstract This paper presents the design of proportional integral derivative (PID) based load frequency control (LFC) scheme effectively optimized through novel combination of bacteria foraging oriented particle swarm optimization (BFO-PSO) technique for a hydro dominating energy system model. The design control are implemented for 1% load disturbance in area-1 and compared with classical PID, Pessen integral rule, some overshoot, no overshoot as well as with recently published bacteria foraging optimization algorithm (BFOA) in terms of computed gains and inverse time multiplied absolute error (ITAE). The system performance for hydro energy system is sluggish and oscillatory. Hence, the further enhancement with proposed design are observed by considering the combination of unified power flow control (UPFC) in series with the tie-line and hydrogen aqua electrolyzer units installed at terminal of area-2. The system performance of the designed control is evaluated under various system investigations considering the dead-band and generation rate constraint (GRC) non-linearity and the applications results are presented to show the superiority of the proposed work.

[1]  Gulshan Sharma,et al.  Recurrent ANN based AGC of a two-area power system with DFIG based wind turbines considering asynchronous tie-lines , 2014, 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014).

[2]  Ibraheem,et al.  Recent philosophies of automatic generation control strategies in power systems , 2005, IEEE Transactions on Power Systems.

[3]  S. Mishra,et al.  Maiden Application of Bacterial Foraging-Based Optimization Technique in Multiarea Automatic Generation Control , 2009, IEEE Transactions on Power Systems.

[4]  E. S. Ali,et al.  Bacteria foraging optimization algorithm based load frequency controller for interconnected power system , 2011 .

[5]  Y. L. Abdel-Magid,et al.  Optimal AGC tuning with genetic algorithms , 1996 .

[6]  Gulshan Sharma,et al.  Optimal Automatic Generation Control of Asynchronous Power Systems Using Output Feedback Control Strategy with Dynamic Participation of Wind Turbines , 2015 .

[7]  K. R. Sudha,et al.  Robust decentralized load frequency control of interconnected power system with Generation Rate Constraint using Type-2 fuzzy approach , 2011 .

[8]  I. A. Chidambaram,et al.  Optimized PI+ load–frequency controller using BWNN approach for an interconnected reheat power system with RFB and hydrogen electrolyser units , 2015 .

[9]  Rabindra Kumar Sahu,et al.  A hybrid DE–PS algorithm for load frequency control under deregulated power system with UPFC and RFB , 2015 .

[10]  Rabindra Kumar Sahu,et al.  Application of Firefly Algorithm for Load Frequency Control of Multi-area Interconnected Power System , 2014 .

[11]  Ramesh C. Bansal Overview and literature survey of artificial neural networks applications to power systems (1992 - 2004) , 2006 .

[12]  Ali Feliachi,et al.  Robust load frequency control using genetic algorithms and linear matrix inequalities , 2003 .

[13]  Aysen Demiroren,et al.  Automatic Generation Control by Using ANN Technique , 2001 .

[14]  Ramesh C. Bansal,et al.  Adaptive fuzzy critic based control design for AGC of power system connected via AC/DC tie-lines , 2017 .

[15]  Tarek Hassan Mohamed,et al.  Decentralized model predictive based load frequency control in an interconnected power system , 2011 .

[16]  Takashi Hiyama,et al.  Intelligent Automatic Generation Control , 2011 .

[17]  F. J. Ruiz-Rodriguez,et al.  Stability assessment for transmission systems with large utility-scale photovoltaic units , 2016 .

[18]  Prabhat Kumar,et al.  Current Status of the Indian Power System and Dynamic Performance Enhancement of Hydro Power Systems with Asynchronous Tie Lines , 2003 .

[19]  Sidhartha Panda,et al.  Hybrid BFOA-PSO algorithm for automatic generation control of linear and nonlinear interconnected power systems , 2013, Appl. Soft Comput..

[20]  Gulshan Sharma,et al.  Study on Dynamic Participation of Wind Turbines in Automatic Generation Control of Power Systems , 2015 .

[21]  J. C. Hernández,et al.  Enhanced utility-scale photovoltaic units with frequency support functions and dynamic grid support for transmission systems , 2017 .

[22]  Ramesh C. Bansal,et al.  Robust automatic generation control regulators for a two-area power system interconnected via AC/DC tie-lines considering new structures of matrix Q , 2016 .

[23]  Kevin M. Passino,et al.  Biomimicry of bacterial foraging for distributed optimization and control , 2002 .