Automatic generation control of three area hydro-thermal power systems with electric and mechanical governor

Jagatheesan, K.; Anand, B.

doi:10.1109/iccic.2014.7238280

Cited by 15 publications

(11 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3 [17,19,20]. The PID controller is effectively controls the system frequency and tie-line power flow of the investigated multi-area power system.…”

Section: Control Strategymentioning

confidence: 99%

See 2 more Smart Citations

Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity

Jagatheesan¹,

Anand

Samanta

et al. 2016

Neural Comput & Applic

Self Cite

110

View full text Add to dashboard Cite

This work presents an application of bio-inspired flower pollination algorithm (FPA) for tuning proportional-integral-derivative (PID) controller in load frequency control (LFC) of multi-area interconnected power system. The investigated power system comprises of three equal thermal power systems with appropriate PID controller. The controller gain [proportional gain (K p ), integral gain (K i ) and derivative gain (K d )] values are tuned by using the FPA algorithm with one percent step load perturbation in area 1 (1 % SLP). The integral square error (ISE) is considered the objective function for the FPA. The supremacy performance of proposed algorithm for optimized PID controller is proved by comparing the results with genetic algorithm (GA) and particle swarm optimization (PSO)-based PID controller under the same investigated power system. In addition, the controller robustness is studied by considering appropriate generate rate constraint with nonlinearity in all areas. The result cumulative performance comparisons established that FPA-PID controller exhibit better performance compared to performances of GA-PID and PSO-PID controller-based power system with and without nonlinearity effect.

show abstract

“…3 [17,19,20]. The PID controller is effectively controls the system frequency and tie-line power flow of the investigated multi-area power system.…”

Section: Control Strategymentioning

confidence: 99%

“…4. Thus, it is required to determine the objective function, which is established based on the desired constraint and specifications [17][18][19][20].…”

Section: Control Strategymentioning

confidence: 99%

See 1 more Smart Citation

Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity

Jagatheesan¹,

Anand

Samanta

et al. 2016

Neural Comput & Applic

Self Cite

110

View full text Add to dashboard Cite

show abstract

“…The regulator tries to maintain the desired speed by adjusting the fuel input [47,48,49]. The dynamic response (either transient or steady state) of a hydraulic governor system using an electric controller is faster than a system using a mechanical controller [50,51].…”

Section: Speed Regulationmentioning

confidence: 99%

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Kokaew

Sharkh²,

Moshrefi-Torbati

2016

IEEE Trans. Ind. Electron.

View full text Add to dashboard Cite

The thesis is concerned with a small-scale compressed air energy storage (SS-CAES) system. Although these systems have relatively low energy density, they offer advantages of low environmental impact and ease of maintenance.The thesis focuses on solving a number of commonly known problems related to the perturb and observe (P&O) maximum power point tracking (MPPT) system for SS-CAES, including confusion under input power fluctuation conditions and operating point dither.A test rig was designed and built to be used for validation of the theoretical work. The rig comprised an air motor driving a permanent magnet DC generator whose power output is controlled by a buck converter. A speed control system was designed and implemented using a dSPACE controller. This enabled fast convergence of MPPT.Four MPPT systems were investigated. In the first system, the air motor characteristics were used to determine the operating speed corresponding to MPP for a given pressure. This was compared to a maximum efficiency point tracking (MEPT) system. Operating at the maximum power point resulted in 1% loss of efficiency compared to operating at the maximum efficiency point. But MPPT does not require an accurate model of the system that is needed for MEPT, which also requires more sensors.The second system that was investigated uses a hybrid MPPT approach that did not require a prior knowledge system model. It used the rate of change of power output with respect to the duty cycle of the buck converter as well as the change in duty cycle to avoid confusion under input power fluctuations. It also used a fine speed step in the vicinity of the MPP and a coarse speed step when the operating point was far from the MPP. Both simulation and experimental results demonstrate the efficiency of this proposed system. The third P&O MPPT system used a fuzzy logic approach which avoided confusion and eliminated operating point dither. This system was also implemented experimentally.A speed control system improved the controllable speed-range by using a buck-boost converter instead. The last MPPT system employed a hybrid P&O and incremental inductance (INC) approach to avoid confusion and eliminate operating point dither. The simulation results validate the design.Although the focus of the work is on SS-CAES, the results are generic in nature and could be applied to MPPT of other systems such as PV and wind turbine.

show abstract

“…Based on the quality and quantity of the food, pheromone quantity laid in the ground varied, it will guide to other ants to find the food source from their nest. This indirect communication between real ants through pheromone chemical is used to find the shortest path between food source and nest [24,31,32,34,41,42].…”

Section: Ant Colony Optimization Techniquesmentioning

confidence: 99%

Artificial Intelligence in Performance Analysis of Load Frequency Control in Thermal-Wind-Hydro Power Systems

Jagatheesan¹,

Anand²,

Dey³

et al. 2015

ijacsa

Self Cite

View full text Add to dashboard Cite

Automatic generation control of three area hydro-thermal power systems with electric and mechanical governor

Cited by 15 publications

References 28 publications

Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity

Application of flower pollination algorithm in load frequency control of multi-area interconnected power system with nonlinearity

Maximum Power Point Tracking of a Small-Scale Compressed Air Energy Storage System

Artificial Intelligence in Performance Analysis of Load Frequency Control in Thermal-Wind-Hydro Power Systems

Contact Info

Product

Resources

About