Maiden application of bacterial foraging based fuzzy IDD controller in AGC of a multi-area hydrothermal system

Saikia, Lalit Chandra; Sinha, Nidul; Nanda, J.

doi:10.1016/j.ijepes.2012.08.052

Cited by 89 publications

(34 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In context to fuzzy controller, various intelligent techniques and FLC structures are available in the literature (Chandrakala et al 2013;Saikia et al 2013;Sahu et al 2014;Bhateshvar et al 2015;Jeyalakshmi and Subburaj 2015;Sahu et al 2015a, b, c;Sekhar et al 2016). To the best of the authors' knowledge, till date, no research has been reported in the literature to design BFOA-optimized fuzzy PI/PID structured controller for AGC analysis of traditional and restructured power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Since the maiden application of BFOA to AGC problem of a traditional three-area thermal system by Nanda et al (2009), many papers have been witnessed in the literature for different AGC systems (Debbarma et al 2013;Ali and Abd-Elazim 2011;Panda et al 2013;Saikia et al 2013). BFOA follows the law of natural evolution which favors species with better food searching ability and eliminates those with deprived search capability.…”

Section: Bacterial Foraging Optimization Algorithmmentioning

confidence: 99%

“…In these figures the system responses with generation rate constraint (GRC) are also shown to make comparison and ascertain the effectiveness of the BFOAbased FPID controller optimized for linear system, under GRC. There exist constraints on the rate of change of power generation of steam/hydro plants called GRC, and it must be incorporated in AGC study of realistic power systems (Nanda et al 2006;Kundur 2011;Kothari and Nagrath 2012;Debbarma et al 2013;Panda et al 2013;Saikia et al 2013;Padhan et al 2014;Sahu et al 2015a, b, c;Arya et al 2016). The GRC of ±0.015 pu/s is considered for non-reheat thermal GENCOs (Yesil et al 2004) and GRC of +0.045 pu/s for raising generation and −0.06 pu/s for lowering generation is considered for hydro power GENCOs (Nanda et al 2006;Saikia et al 2013;Panda et al 2013;Arya et al 2016;Sahu et al 2015a, b).…”

Section: Fig 13mentioning

confidence: 99%

“…Sensitivity analysis is carried out to study the robustness of the optimized parameters (i.e., K 1i , K 2i , K Pi , K Ii and K Di ) of the proposed FPI/FPID controller, obtained at nominal conditions, to wide variations in the system parameters and initial loading condition (Nanda et al 2009;Ali and Abd-Elazim 2011;Gozde et al 2012;Saikia et al 2013;Panda et al 2013;Padhan et al 2014;Sahu et al 2014;Arya et al 2016;Sahu et al 2015a, b, c;Sekhar et al 2016). The system parameters such as R i , K Pi , T Pi , T Ri and T GHi are varied by ±25 % from their nominal values (given in "Appendix") as well as the system loading condition is changed by ±25 % from its nominal loading of 50 %.…”

Section: Sensitivity Analysismentioning

confidence: 99%

See 3 more Smart Citations

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Arya

Kumar

2016

Soft Comput

View full text Add to dashboard Cite

In this paper, design and performance analysis of bacterial foraging optimization algorithm (BFOA)-optimized fuzzy PI/PID (FPI/FPID) controller for automatic generation control of multi-area interconnected traditional/restructured electrical power systems is presented. Firstly a traditional two-area non-reheat thermal system is considered, and gains of the fuzzy controller are tuned employing BFOA using integral of squared error objective function. The supremacy of this controller is demonstrated by juxtaposing the results with particle swarm optimization (PSO), firefly algorithm (FA), BFOA, hybrid BFOA-PSObased PI and fuzzy PI controllers based upon pattern search (PS) and PSO algorithms for the same power system structure. The approach is then extended to a two-area reheat system, and improved results are found with the purported FPI/FPID controller in comparison with PSO and artificial bee colony optimized PI controller. Further, the approach is implemented on a traditional multi-source multi-area (MSMA) hydrothermal system and its superb performance is observed over genetic algorithm and hybrid FA-PS tuned PI controller. Additionally, to demonstrate the scalability of the designed controller to cope with restructured power system, the study is also protracted to a restructured MSMA

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Bacterial Foraging Optimization Algorithmmentioning

confidence: 99%

Section: Fig 13mentioning

confidence: 99%

Section: Sensitivity Analysismentioning

confidence: 99%

See 2 more Smart Citations

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Arya

Kumar

2016

Soft Comput

View full text Add to dashboard Cite

show abstract

“…1, a practical desired disturbance rejection filter is cascaded with the double derivative gain that possess an integral characteristic to eliminate any system output deviation arising from the application of instant load disturbances. The value of N is chosen as 83.681 throughout the simulation work [34].…”

Section: Structure Of Idd Controllermentioning

confidence: 99%

A novel quasi-oppositional harmony search algorithm for automatic generation control of power system

Shiva

Mukherjee

2015

Applied Soft Computing

View full text Add to dashboard Cite

Maiden application of TIDN ‐(1+ PI ) cascade controller in LFC of a multi‐area hydro‐thermal system incorporating EV–Archimedes wave energy‐geothermal‐wind generations under deregulated scenario

Das

Saikia

Datta

2021

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

Summary Recently, there has been a growing trend of large proliferation of electric vehicles (EVs) due to its various merits like minimum emission of greenhouse gases, high‐energy efficiency, less maintenance, cost, and so on. Electric vehicles are now seen as an environment friendly and cost effective alternative to the fuel vehicles. This article presents an effective load frequency control of a multi‐area interconnected power system connecting EV fleets along with diversified sources such as Archimedes wave energy conversion (AWEC), geothermal power plant, wind power plant turbine generator, hydro power plant, and thermal power plant. A cascaded controller, combination of tilt integral derivative filter (TIDN) and 1+proportional‐integral (1+PI) (ie, TIDN‐(1+PI)), has also been proposed in this article as a secondary controller to improve the system performances. The real‐time simulation of the considered power system has been effectually executed under different scenarios, using OPAL‐RT's digital simulator. The result shows that the proposed TIDN‐(1+PI) controller along with EV fleets are capable to significantly minimize the frequency and tie‐line power oscillations rapidly and it also provides better dynamic performance of the system as compared to other conventional controllers such as integral, proportional‐integral and so on. In addition, variable and irregular AWEC power, load disturbances in all areas, and multiple nonlinearities have been considered to study the effect of EV fleets in the proposed system. Also, stability of the system has been studied by using Eigen value analysis method.

show abstract

Maiden application of bacterial foraging based fuzzy IDD controller in AGC of a multi-area hydrothermal system

Cited by 89 publications

References 22 publications

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

Design and analysis of BFOA-optimized fuzzy PI/PID controller for AGC of multi-area traditional/restructured electrical power systems

A novel quasi-oppositional harmony search algorithm for automatic generation control of power system

Maiden application of TIDN ‐(1+ PI ) cascade controller in LFC of a multi‐area hydro‐thermal system incorporating EV–Archimedes wave energy‐geothermal‐wind generations under deregulated scenario

Contact Info

Product

Resources

About