Load frequency control of a realistic power system with multi-source power generation

Parmar, K. P. Singh; Majhi, Somanath; Kothari, D.P.

doi:10.1016/j.ijepes.2012.04.040

Cited by 311 publications

(158 citation statements)

References 23 publications

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“…In a multiarea power system, LFC controls the active power generation of the generators in each area as per variations in the load. The area control error (ACE) is taken as the input to the controller that tries to bring the ACE to zero, which means both frequency and tie-line power errors will reduce to zero [1][2][3]. A very elaborate and thorough review of the literature on LFC is presented in [1], which may be referred to for further understanding.…”

Section: Introductionmentioning

confidence: 99%

Multiverse optimized fuzzy-PID controller with a derivative filter for load frequency control of multisource hydrothermal power system

Kumar¹,

Suhag²

2017

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, a multiverse optimized (MVO) fuzzy PID controller with a derivative filter (fuzzy-PIDF) is proposed for the load frequency control (LFC) of a two-area multisource hydrothermal power system. The superiority of the MVO algorithm is demonstrated by comparing the system LFC performance with integral and fuzzy-PIDF controllers, both optimized using MVO, as well as some of the recent heuristic optimization techniques such as the ant lion optimizer, gray wolf optimizer, differential evolution, bacterial foraging optimization algorithm, and particle swarm optimization.To the best of the knowledge of the authors, the use of the MVO technique has not yet been reported for LFC studies.Among many of the controllers implemented here for comparison, the proposed MVO fuzzy-PIDF controller exhibits the best performance under different operating conditions in terms of settling times, maximum overshoot, and values of cost function, i.e. integral time absolute error. Furthermore, the robustness of the proposed control scheme is also investigated against variation of system parameters within ± 10%, along with random step load disturbances. The proposed control scheme is not very sensitive to parametric variations and therefore keeps providing effective performance even under ± 10% variations in system parameters. System modeling and simulations are carried out using MATLAB/Simulink.

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Section: Introductionmentioning

confidence: 99%

Multiverse optimized fuzzy-PID controller with a derivative filter for load frequency control of multisource hydrothermal power system

Kumar¹,

Suhag²

2017

Turk J Elec Eng & Comp Sci

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“…Most probably, Ramakrishna and Bhatti [28] have introduced first the LFC analysis using multi-source power generation in a control area. Further, many researchers have used and extended the concept of multi-source power system models for LFC analysis [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…Further, Parmar et al [31] overcome the difficulty of full state feedback controllers by replacing them with output feedback controllers (few states are required for feedback) and implemented in a single area multi-source power system. In this paper, the concept of multi-source modeling [4,17,28,30] is extended to present a power system with RFB [22][23] for LFC study using PSO based PI controller.…”

Section: Introductionmentioning

confidence: 99%

Load Frequency Control of Multi-Source Power System with Redox Flow Batteries: An Analysis

Parmar¹

2014

IJCA

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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. Dynamic responses are obtained by giving 1% step load perturbation (SLP) in the area. Further, to show the robustness of the controller, the dynamic responses are obtained by varying the SLP from 1% to 3%. Dynamic responses obtained in all the cases, satisfy the LFC requirements. PSO technique gives good convergence characteristics and promising computational results.

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“…Many researchers [5,[6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] presented LFC schemes with different control strategies to a variety of power system models. Optimal control theory based controllers have been presented for the LFC analysis of power systems [6][7][8][9][10][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…Optimal control theory based controllers have been presented for the LFC analysis of power systems [6][7][8][9][10][22][23]. Parmar et al [6][7][8] presented the output feedback controllers for the LFC schemes of power systems. Applications of thyristor controlled phase shifter (TCPS) [9] and AC-DC tie lines [10] are reported for LFC of multi-source two area power systems to improve the dynamic responses.…”

Section: Introductionmentioning

confidence: 99%

LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller

Parmar¹

2014

IJCA

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Load frequency control of a realistic power system with multi-source power generation

Cited by 311 publications

References 23 publications

Multiverse optimized fuzzy-PID controller with a derivative filter for load frequency control of multisource hydrothermal power system

Multiverse optimized fuzzy-PID controller with a derivative filter for load frequency control of multisource hydrothermal power system

Load Frequency Control of Multi-Source Power System with Redox Flow Batteries: An Analysis

LFC System of Multi-Area Interconnected Power Systems using TVAC-PSO based Controller

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