AGC of Two Area Power System Based on Different Power Output Control Strategies of Thermal Power Generation

In this paper, dynamic performance of automatic generation control (AGC) of two area thermal–thermal power system is determined through the steam chest and reheater constant trajectories. In earlier AGC studies, steam chest and reheater time constants denoted as <inline-formula><tex-math notation="LaTeX">${T_{\text{SC}}}$</tex-math> </inline-formula> and <inline-formula><tex-math notation="LaTeX">${T_{\text{RH}}}$</tex-math></inline-formula> are considered to be constant, irrespective of plant generation schedules. However, it is discovered that <inline-formula> <tex-math notation="LaTeX">${T_{\text{SC}}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX"> ${T_{\text{RH}}}$</tex-math></inline-formula> follow the specific trajectories with the plant generation schedules. These time constant trajectories are determined by the power output control strategies being employed to change the plant generation schedules. These control strategies are the different combinations of steam pressure versus flow rate curves used to operate the plant at different generation schedules. In this paper, time constant versus generation schedule trajectories of <inline-formula><tex-math notation="LaTeX">${T_{\text{SC}}}$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">${T_{\text{RH}}}$</tex-math></inline-formula> have been derived for different power output control strategies. Furthermore, these time constant trajectories have been utilized to investigate the dynamic performance of two area reheat thermal power system.

[1]  Kune Y. Suh,et al.  Engineering nonlinearity characteristic compensation for commercial steam turbine control valve using linked MARS code and Matlab Simulink , 2012 .

[2]  Kjetil Uhlen,et al.  Model Predictive Load-Frequency Control , 2016, IEEE Transactions on Power Systems.

[3]  S. C. Kaushik,et al.  Energy and exergy analysis of a super critical thermal power plant at various load conditions under constant and pure sliding pressure operation , 2014 .

[4]  Ashu Verma,et al.  Study the effect of system parameters on controller gains for discrete AGC of hydro-thermal system , 2015, 2015 Annual IEEE India Conference (INDICON).

[5]  Changyin Sun,et al.  An Event-Triggered Approach for Load Frequency Control With Supplementary ADP , 2017, IEEE Transactions on Power Systems.

[6]  Minrui Fei,et al.  Resilient Event-Triggering $H_{\infty }$ Load Frequency Control for Multi-Area Power Systems With Energy-Limited DoS Attacks , 2017, IEEE Transactions on Power Systems.

[7]  Ieee Report,et al.  Dynamic Models for Steam and Hydro Turbines in Power System Studies , 1973 .

[8]  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 .

[9]  Jesus Jativa-Ibarra,et al.  AGC Parameter Determination for an Oil Facility Electric System , 2014 .

[10]  Terlochan Singh Bhatti,et al.  Sampled-data Automatic Load Frequency Control of a Single Area Power System with Multi-source Power Generation , 2007 .

[11]  K. S. S. Ramakrishna,et al.  Automatic generation control of interconnected power system with diverse sources of power generation , 2010 .

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

[13]  Lalit Chandra Saikia,et al.  Automatic generation control of a multi-area ST – Thermal power system using Grey Wolf Optimizer algorithm based classical controllers , 2015 .

[14]  Fangxing Li,et al.  Dynamic gain-tuning control (DGTC) approach for AGC with effects of wind power , 2016, 2017 IEEE Power & Energy Society General Meeting.

[15]  Magnus Genrup,et al.  Improved load control for a steam cycle combined heat and power plant , 2010 .

[16]  Lalit Chandra Saikia,et al.  Automatic generation control of an unequal four-area thermal system using biogeography-based optimised 3DOF-PID controller , 2016 .

[17]  Zhenping Feng,et al.  The influence of nozzle chamber structure and partial-arc admission on the erosion characteristics of solid particles in the control stage of a supercritical steam turbine , 2015 .

[18]  Yi Zhang,et al.  Coordinated Distributed MPC for Load Frequency Control of Power System With Wind Farms , 2017, IEEE Transactions on Industrial Electronics.

[19]  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 .

[20]  Ajith Abraham,et al.  Inertia Weight strategies in Particle Swarm Optimization , 2011, 2011 Third World Congress on Nature and Biologically Inspired Computing.

[21]  Zhengyou He,et al.  A New Load Frequency Control Method of Multi-Area Power System via the Viewpoints of Port-Hamiltonian System and Cascade System , 2017, IEEE Transactions on Power Systems.

[22]  Grzegorz Benysek,et al.  Application of Stochastic Decentralized Active Demand Response (DADR) System for Load Frequency Control , 2018, IEEE Transactions on Smart Grid.

[23]  Richard Edwin Sonntag,et al.  Fundamentals of Thermodynamics , 1998 .

[24]  Prakash Kumar Hota,et al.  Comparative performance analysis of fruit fly optimisation algorithm for multi-area multi-source automatic generation control under deregulated environment , 2015 .

[25]  Chandan Kumar Shiva,et al.  A novel quasi-oppositional harmony search algorithm for automatic generation control of power system , 2015, Appl. Soft Comput..