Automatic Generation Control With Superconducting Magnetic Energy Storage in Power System

Tripathy, S.C.; Nair, P. S. Chandramohanan; Rao, N.D.

doi:10.1080/07313569408955570

Cited by 9 publications

(18 citation statements)

References 12 publications

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“…A backlash of approximately 0.5% is chosen for the analysis. The transfer function of governor with dead band nonlinearity relating to GENCO 1 can be expressed as

G_{normalg 1} = \frac{0.8 - \frac{0.2}{π} normals}{1 + normals T_{normalg 1}} .

…”

Section: Simulation and Discussion Of Resultsmentioning

confidence: 99%

“…An up‐to‐date literature survey of all dimensions of AGC systems is available in References . Controllers relying on approaches such as optimal control , sub‐optimal control , Lyapunov stability theorem , neural sliding mode , hybrid firefly algorithm and pattern search technique , genetic algorithm , bacterial foraging optimization algorithm , fuzzy logic control , type‐2 fuzzy logic control , big bang big–crunch algorithm , differential evolution algorithm , Cuckoo search algorithm , imperialist competitive algorithm , and firefly algorithm are applied for AGC of different multi‐area interconnected power systems. AGC of conventional interconnected power systems is also explored using non‐integer order controllers .…”

Section: Introductionmentioning

confidence: 99%

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AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Arya

Kumar

Ibraheem

2015

Optim Control Appl Methods

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Summary In this paper, automatic generation control (AGC) of a two‐area multi‐source power system interconnected via alternating current/direct current (AC/DC) parallel links under restructured power environment is proposed. Each area is equipped with multipower generating sources such as thermal and hydro/gas. To execute the different market contracts in restructured power system, the optimal regulators are designed and implemented using optimal control theory. It is observed that the system dynamic results effectively satisfy the AGC requirements in restructured power system, as well as the system dynamic performance is improved by using AC/DC parallel links in comparison with that obtained with AC link as an area interconnection between the control areas. Furthermore, the eigenvalue study is performed to examine the system stability with and without AC/DC parallel links. Finally, the effectiveness of the optimal regulators is checked for the system under study with physical constraints like time delay, boiler dynamics, generation rate constraints, and governor dead band nonlinearity and variations in system parameters from the nominal values. It is shown that the optimal regulators optimized for linear system are robust enough and work well in the proposed realistic AGC system incorporating physical constraints and wide variations in parameters. Copyright © 2015 John Wiley & Sons, Ltd.

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“…A backlash of approximately 0.5% is chosen for the analysis. The transfer function of governor with dead band nonlinearity relating to GENCO 1 can be expressed as

G_{normalg 1} = \frac{0.8 - \frac{0.2}{π} normals}{1 + normals T_{normalg 1}} .

…”

Section: Simulation and Discussion Of Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Arya

Kumar

Ibraheem

2015

Optim Control Appl Methods

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“…Nonlinear models are either dependent or independent first-order time delay models [9] [42]. In these coupled models, the reactive power control model shows the same characteristics as the decoupled models which use the first order or second order time delay to determine demanded reactive power with the input control signal of voltage deviation.…”

Section: ) Literature Survey Of Smes External Control For Power Systmentioning

confidence: 99%

“…In external control, deviations of voltage, frequency, area control error(active power compensation between two interconnected areas), and inductor current are used to determine demanded active and reactive power [42].…”

Section: ) Literature Survey Of Smes External Control For Power Systmentioning

confidence: 99%

Active and Reactive Power Control Model of Superconducting Magnetic Energy Storage (SMES) for the Improvement of Power System Stability

Ham¹,

Hwang²

2008

Journal of Electrical Engineering and Technology

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“…Power can be absorbed or released from the coil according to the system requirement. A super conducting magnetic energy storage(SMES) is capable of controlling active and reactive power simultaneously and has been expected as one if the most effective stabilizers of power oscillations [7,8]. The schematic diagram in Fig.4 shows the configuration of a thyristor controlled SMES unit.…”

Section: Smes Unitmentioning

confidence: 99%

LoadFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller

Jayanthi¹,

Chidambaram²

2012

IJCA

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Based on the concept of Modern Control theory, an optimal robust power system controller for power restoration problem using Disturbance Accommodation theory has been adopted in this paper. This proposed methodology is applied to a TwoArea Two-Unit thermal Reheat Interconnected Power System (TATURIPS) taking into account of Super Conducting Magnetic Energy Storage (SMES) device and Gas Turbine (GT) unit in either area to meet out the system uncertainties due to various disturbances. For Load-Frequency Control (LFC) a decentralized PI controller for each area and a centralized Disturbance Accommodation Controller (DAC) in TATURIPS co-ordinated with SMES and GT units as back-up energy suppliers have been implemented in this proposed methodology. Feasible Restoration Index (FRI) and Complete Restoration Index (CRI) are computed for various disturbances based on settling time of the output response of the system and the control input deviation. The decentralized controller is tuned using the Artificial Bee Colony (ABC) algorithm. With these two Restoration Indices obtained from the Intelligent Controller (IC) as well as DAC, the conditions required to be satisfied in ensuring the restoration of the power system are listed out and with proper implementation will result in high degree of reliability and stability of power supply reducing the frequency deviations to a greater extent and the settling time is also reduced to a minimum time span.

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Automatic Generation Control With Superconducting Magnetic Energy Storage in Power System

Cited by 9 publications

References 12 publications

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

AGC of a two‐area multi‐source power system interconnected via AC/DC parallel links under restructured power environment

Active and Reactive Power Control Model of Superconducting Magnetic Energy Storage (SMES) for the Improvement of Power System Stability

LoadFrequency Control Assessment using Restoration Index with Artificial Bee Colony Algorithm for Interconnected Power System with Disturbance Accommodation Controller

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