Simulated annealing based optimal frequency and terminal voltage control of multi source multi area system

Chandrakala, K.R.M. Vijaya; Balamurugan, S.

doi:10.1016/j.ijepes.2015.12.026

Cited by 113 publications

(54 citation statements)

References 16 publications

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“…In the past literature, the separate investigations on ALFC and AVR had been carried out in interconnected power system without considering the cross‐coupling of ALFC and AVR . A very few authors studied the combined ALFC‐AVR system under conventional environment in the recent literatures . The ALFC‐AVR system for single area and two‐area system had been analyzed for frequency, tie‐line power, and voltage control of the system.…”

Section: Introductionmentioning

confidence: 99%

“…The ALFC‐AVR system for single area and two‐area system had been analyzed for frequency, tie‐line power, and voltage control of the system. Chandrakala et al explored the two‐area combined ALFC‐AVR system of hydrothermal system with physical constraints like governor dead band (GDB) and boiler dynamics. Authors studied three‐area combined model with various sources having GDB and generation rate constraints (GRCs) .…”

Section: Introductionmentioning

confidence: 99%

“…Few controllers such as PID, PID plus double derivative, and FOPID had been reported in the study of AVR system. For combined ALFC‐AVR system, I, PI, and PID were applied. The application of FO controller in the restructured combined ALFC‐AVR system is still left unaddressed, which requires further study.…”

Section: Introductionmentioning

confidence: 99%

“…In previous literature, authors reported some optimization techniques like cuckoo search algorithm (CSA), teaching learning–based optimization, particle swarm optimization (PSO), bacteria foraging algorithm for the analysis of ALFC, and AVR. Very limited optimization techniques such as PSO and simulated annealing were used in combined ALFC‐AVR system. Lightning search algorithm (LSA) had been employed to obtain the optimum values of controller parameters in combined model at conventional environment .…”

Section: Introductionmentioning

confidence: 99%

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Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Rajbongshi

Saikia

2019

Int Trans Electr Energ Syst

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Summary This article analyzed the performance of coordinated interline power flow controller (IPFC) and power system stabilizer (PSS) in the combined two‐area restructured automatic load frequency control (ALFC) and automatic voltage regulator (AVR) system. Each area of the system has three generating companies as reheat thermal, wind, and diesel and three distribution companies (DISCOs). Appropriate physical constraints are included in thermal plant. Proportional plus fractional integral plus derivative with filter (PIλDF) controller is introduced as secondary controller for both ALFC and AVR loop. Lightning search algorithm is employed for optimization of the parameters of controller as well as PSS. The control performance of the proposed controller is compared with some classical integer‐order controllers and reflects the dominance of the former over others with less peak deviation, settling time, and figure of demerit in all three transactions of restructured power system. The investigation of the impact of combined controlling action of IPFC and PSS reveals that the integration of the same improves the system dynamics effectively than the individual inclusion of IPFC and PSS. The coordinated IPFC‐PSS provides less peak deviation, oscillation, as well as faster settling time and enhances the system performance. The sensitivity analysis of PIλDF controller and PSS parameters for different DISCO participation matrix and amount of contract violation derived the robustness of the same.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Rajbongshi

Saikia

2019

Int Trans Electr Energ Syst

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“…Despite its long history and widespread use, PID tuning is still an active area of research, industrial, or academic. There are many approaches to acquisition of the PID or PID‐like controller parameters, whereby the parameters of the PID structure are tuned by the gain‐phase margin method, optimization method, Ziegler‐Nichol method, or internal‐model‐control‐based method . For single‐input–single‐output (SISO) systems, satisfactory control can be secured by using established tuning rules.…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Taylor network adaptive control for MIMO time‐varying uncertain nonlinear systems with noises

Zhang

Yan

2019

Intl J Robust & Nonlinear

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Summary In this paper, an adaptive control approach based on the multidimensional Taylor network (MTN) is proposed here for the real‐time tracking control of multiple‐input–multiple‐output (MIMO) time‐varying uncertain nonlinear systems with noises. Two MTNs are used to formulate the optimum control and adaptive filtering approaches. The feed‐forward MTN controller (MTNC) is developed to realize the precise tracking control. The closed‐loop errors between the filtered outputs and expected values are directly chosen as the MTNC's inputs. A valid initial value selection scheme for the weights of the MTNC, which can ensure the initial stability of adaptive process, is introduced. The proposed MTNC can update its weights online according to errors caused by system's uncertain factors, based on stable learning rate. The resilient backpropagation algorithm and the adaptive variable step size algorithm via linear reinforcement are utilized to update the MTNC's weights. The MTN filter (MTNF) is developed to eliminate measurement noises and other stochastic factors. The proposed adaptive MTN filtering system possesses the distinctive properties of the Lyapunov theory–based adaptive filtering system and MTN. Lyapunov function of the filtering errors between the measured values and MTNF's outputs is defined. By properly choosing the weights update law in the Lyapunov sense, the MTNF's outputs can asymptotically converge to the desired signals. The design is independent of the stochastic properties of the input disturbances. Simulation of the MTN‐based control is conducted to test the effectiveness of the presented results.

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Performance of redox flow battery in combined frequency and voltage control of multi‐area multi‐source system using CFOPDN‐FOPIDN controller

Dekaraja

Saikia

2021

Int Trans Electr Energ Syst

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Summary This paper presents the combined voltage and frequency control of three‐area multi‐source interconnected power systems, having thermal‐solar thermal power plant, thermal‐wind and hydrothermal‐geothermal power plants. A maiden attempt has been made to incorporate one of the energy storage devices called redox flow battery (RFB) in all areas. Appropriate system non‐linearity constraints are considered for both thermal and hydro plants. A new cascade controller called cascade fractional‐order PD with filter and fractional‐order proportional‐integral‐derivative (PID) with filter (CFOPDN‐FOPIDN) is proposed as a secondary controller in the unified automatic load frequency control (ALFC) and automatic voltage regulator (AVR) system. A novel optimization algorithm called artificial flora algorithm is used to optimize the controller parameters. From the observation of the system dynamic responses, it reveals that the CFOPDN‐FOPIDN controller is superior to the FOPID, PIDN and PI controllers. The unified ALFC‐AVR study exhibits that the AVR loop enhances the system dynamics considerably. It is observed that the system oscillations are substantially reduced along with the peak deviation and settling time in the presence of RFB. Moreover, the combined frequency deviation and area control error as an input signal to the RFB outperforms the individual one. The system performance improves with an increase in the RFB gain value. Furthermore, it is divulged that a larger frequency deviation leads to a faster rate of change of frequency. Eventually, the sensitivity analysis reveals the sturdiness of the proposed controller.

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Simulated annealing based optimal frequency and terminal voltage control of multi source multi area system

Cited by 113 publications

References 16 publications

Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Performance of coordinated interline power flow controller and power system stabilizer in combined multiarea restructured ALFC and AVR system

Multidimensional Taylor network adaptive control for MIMO time‐varying uncertain nonlinear systems with noises

Performance of redox flow battery in combined frequency and voltage control of multi‐area multi‐source system using CFOPDN‐FOPIDN controller

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