Accurate modelling of discrete AGC controllers for interconnected power systems

This paper deals with the modeling of discrete automatic gain control (AGC) controllers for an interconnected power system. The AGC supplementary controllers continuously try to reduce the ACE signal to zero by sending control commands/signals to the speed governor set points. Typically, control signals are sent in the form of discrete control pulses to adjust the generating unit outputs in discrete steps. However, in the preceding AGC studies, ZOH circuit has been misplaced in discrete supplementary controller models. Therefore, control signals feed to the speed governor set points no longer remains in discrete mode or in other words, controller action no longer remains in discrete steps. Therefore, the results and inferences drawn in these studies are erroneous and unrealistic. This paper presents the realistic model of discrete AGC controllers and removes the anomaly in existing works. Furthermore, it is also discovered that inappropriate selection of sampling period of ACE signal degrades the system dynamic performance or even cause system instability. Surprisingly, no proper guidelines/method has been provided yet to select the appropriate sampling period of ACE signals for discrete AGC operation. Here, a maiden attempt has been made to obtain the suitable values of ACE signal&s sampling periods using Shannon&s sampling theorem.

[1]  J. Nanda,et al.  Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers , 2006, IEEE Transactions on Energy Conversion.

[2]  Ross Baldick,et al.  The joint adequacy of AGC and primary frequency response in single balancing authority systems , 2015, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[3]  Lalit Chandra Saikia,et al.  Maiden application of hybrid pattern search-biogeography based optimisation technique in automatic generation control of a multi-area system incorporating interline power flow controller , 2016 .

[4]  Takashi Hiyama Optimisation of discrete-type load-frequency regulators considering generation-rate constraints , 1982 .

[5]  J. Nanda,et al.  Automatic generation control of an interconnected hydro-thermal system using conventional integral and fuzzy logic controller , 2004, 2004 IEEE International Conference on Electric Utility Deregulation, Restructuring and Power Technologies. Proceedings.

[6]  R. Sarkar,et al.  Automatic generation control of an interconnected hydro-thermal system with thyristor control phase shifter using gravitational search algorithm , 2012, IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012).

[7]  Aditi Gupta Sensitivity Analysis of Multi-Area Hybrid Power System Integrated with Integral Controllers , 2013 .

[8]  Ibraheem Nasiruddin,et al.  A More Realistic Model of Centralized Automatic Generation Control in Real-time Environment , 2015 .

[9]  Swagat Pati,et al.  Hybrid differential evolution particle swarm optimisation optimised fuzzy proportional–integral derivative controller for automatic generation control of interconnected power system , 2014 .

[10]  Charles E. Fosha,et al.  Optimum Megawatt-Frequency Control of Multiarea Electric Energy Systems , 1970 .

[11]  J. Nanda,et al.  Automatic generation control of an interconnected hydrothermal system in continuous and discrete modes considering generation rate constraints , 1983 .

[12]  Sidhartha Panda,et al.  Comparative study of different controllers for automatic generation control of an interconnected hydro-thermal system with generation rate constraints , 2010, 2010 International Conference on Industrial Electronics, Control and Robotics.

[13]  Zhang Jianhua,et al.  Application of PSO-based fuzzy PI controller in multi-area AGC system after deregulation , 2012, 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).

[14]  Chandan Kumar Shiva,et al.  Automatic generation control of multi-unit multi-area deregulated power system using a novel quasi-oppositional harmony search algorithm , 2015 .

[15]  Ashu Verma,et al.  Automatic generation control of thermal power system under varying steam turbine dynamic model parameters based on generation schedules of the plants , 2016 .

[16]  Krishan Arora,et al.  Automatic Generation Control for Interconnected Hydro-thermal System with the help of Conventional Controllers , 2012 .

[17]  Debashisha Jena,et al.  A continuous-discrete mode of optimal control of AGC for multi area hydrothermal system using genetic algorithm , 2012, 2012 International Conference on Computing, Communication and Applications.

[18]  R. Roy,et al.  Evolutionary Computation Based Comparative Study of TCPS and CES Control Applied to Automatic Generation Control , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[19]  J. Nanda,et al.  Transactions on Power Apparatus and Systems , Vol . PAS-1 O 0 , No . 5 , May 1981 SAMPLED-DATA AUTOMATIC GENERATION CONTROL OF INTERCONNECTED REHEAT THERMAL SYSTEMS CONSIDERING GENERATION RATE CONSTRAINTS , 2006 .

[20]  Le-Ren Chang-Chien,et al.  Online estimation of system parameters for artificial intelligence applications to load frequency control , 2011 .

[21]  P. K. Roy,et al.  Automatic generation control of an interconnected hydro-thermal system using chemical reaction optimization , 2015 .

[22]  O. P. Malik,et al.  Discrete analysis of load-frequency control problem , 1984 .