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- P. K. S. Nain, K. P. Singh Parmar, +6 authors Robert C. Hartman
- 2013

This paper presents the particle swarm optimization (PSO) technique to optimize the integral controller gains for the automatic generation control (AGC) of the interconnected power system before and after deregulation. Each control area includes the dynamics of thermal systems. The AGC in conventional power system is studied by giving step load perturbationâ€¦ (More)

- K. P. Singh Parmar, Somanath Majhi, D. P. Kothari
- 2010 Annual IEEE India Conference (INDICON)
- 2010

This paper deals with automatic generation control of an interconnected hydrothermal system considering reheat type turbine in thermal plant area and low head turbine in hydro plant area using optimal controllers. The dynamical response of the load frequency control problem in an interconnected power system under consideration is improved with a practicalâ€¦ (More)

- Bhuvnesh Khokhar, K. P. Singh Parmar, Surender Dahiya, Chung-Lung, Y Chen
- 2012

In this paper, Biogeography-based optimization (BBO) algorithm has been presented for solving the economic dispatch (ED) problems. An optimal short-term thermal generation schedule for 24 time intervals has been presented for the same purpose. The BBO algorithm has been applied to two different test systems, one consisting of three generators and the otherâ€¦ (More)

This paper presents the MATLAB simulink dynamic model of the load frequency control (LFC) of a realistic two area power system having diverse sources of power generation. The DC link is used in parallel with AC tie line for the interconnection of power system. The power system simulation is done using MATLAB simulink and control problem is solved usingâ€¦ (More)

This paper presents the Load frequency control (LFC) of a multi-source power system with Redox flow batteries (RFB). The power system comprises non-reheat thermal, hydro and gas generating units. RFB is integrated to the LFC system to improve the dynamic responses. The proportional plus integral (PI) controller is designed using the PSO technique. Dynamicâ€¦ (More)

- Kavya Gummadi, S. B. Rao, +10 authors P. Rama Krishna Reddy
- 2015

This paper, deals with tuning of PID controller for the Load Frequency Control (LFC) system of an interconnected power system using Particle Swarm Optimization (PSO). A two area thermal system with governor dead â€“ band nonlinearity and a two area power system with multi-source power generation are considered for study. A two area multi-source powerâ€¦ (More)

This paper presents the analysis of the load frequency control (LFC) of a realistic two area interconnected power system having diverse sources of power generation. A Thyristor Controlled Phase Shifter (TCPS) is used in series with AC tie line for improving the dynamic performance of the LFC system. The power system simulation is done using MATLAB Simulinkâ€¦ (More)

- Bhuvnesh Khokhar, K. P. Singh Parmar, Surender Dahiya
- 2012

This paper proposes a particle swarm optimization approach with time varying acceleration coefficients(TVAC_PSO) for an extensive study of the economic dispatch problem with valve point loading(EDVPL). An optimal short-term thermal generation schedule for 24 time intervals has been presented for the same purpose. In this paper, transmission losses andâ€¦ (More)

In this paper an Artificial Neural Network (ANN) based controller is presented for the Automatic Generation Control (AGC) of a five area interconnected power system with reheat turbines. The control scheme guarantees that steady state error of the area frequencies and inadvertent interchange of tielines are maintained in a given tolerance limit. ANNâ€¦ (More)

- Naveen Kumar, K. P. Singh Parmar, +6 authors S. Hemamalini
- 2012

In this paper, a genetic algorithm (GA) approach is presented for optimal solution of combined economic emission load dispatch (CEELD) problem. Fuel cost and emission are considered to formulate the multi-objective optimization problem. An optimal trade-off between fuel cost and emission is obtained using genetic algorithm. Two test systems are consideredâ€¦ (More)