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Neural Computing and Applications
Published in: Neural Computing and Applications 10/2020

12-03-2019 | Original Article

Novel computing paradigms for parameter estimation in power signal models

Published in: Neural Computing and Applications | Issue 10/2020

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Abstract

The strength of evolutionary computational heuristic paradigms is exploited for parameter estimation of power signal modeling problems by incorporating differential evolution (DE), genetic algorithms (GAs) and pattern search (PS) methodologies. The objective function of power signal harmonics is constructed by utilizing the power of approximation theory in mean squared error sense. The stiff optimization task of signal harmonics is performed with heuristic solvers DE, GAs and PS that provide efficacy, fast convergence rate and avoid getting trapped in local minima. Statistics reveal that DE outperforms its counterparts in terms of accuracy, robustness and complexity measures.
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Literature
1.
Rashid MH (2010) Power electronics handbook: devices, circuits and applications. Academic press, Cambridge
2.
Erickson RW, Maksimovic D (2007) Fundamentals of power electronics. Springer, Berlin
3.
Ray PK, Puhan PS, Panda G (2016) Real time harmonics estimation of distorted power system signal. Int J Electr Power Energy Syst 75:91–98
4.
Hamidi RJ, Livani H (2018) Adaptive single-phase auto-reclosing method using power line carrier signals. Int J Electr Power Energy Syst 96:64–73
5.
Singh SK, Sinha N, Goswami AK, Sinha N (2016) Several variants of Kalman Filter algorithm for power system harmonic estimation. Int J Electr Power Energy Syst 78:793–800
6.
Dwivedi UD, Shakya D, Singh SN (2008) Power quality monitoring and analysis: an overview and key issues. Int J Syst Signal Control Eng Appl 1(1):74–88
7.
Qian H, Zhao R, Chen T (2007) Interharmonics analysis based on interpolating windowed FFT algorithm. IEEE Trans Power Deliv 22(2):1064–1069
8.
Bian J, Xing J, Liu J, Li Z, Li H (2016) An adaptive and computationally efficient algorithm for parameters estimation of superimposed exponential signals with observations missing randomly. Digit Signal Proc 48:148–162MathSciNet
9.
Bai ZD, Rao CR, Wu YH, Zen MM, Zhao LC (1999) The simultaneous estimation of the number of signals and frequencies of multiple sinusoids when some observations are missing: I. Asymptotics. Proc Natl Acad Sci USA 96(11):106–111MathSciNetMATH
10.
Cao Y, Liu Z (2010) Signal frequency and parameter estimation for power systems using the hierarchical identification principle. Math Comput Model 52(5):854–861MathSciNetMATH
11.
Xu L, Ding F (2017) Recursive least squares and multi-innovation stochastic gradient parameter estimation methods for signal modeling. Circuits Syst Signal Process 36(4):1735–1753MATH
12.
Zubair S, Chaudhary NI, Khan ZA, Wang W (2018) Momentum fractional LMS for power signal parameter estimation. Sig Process 142:441–449
13.
Barkat B (2018) A quadratic model for the far-field direction of arrival estimation. Digit Signal Proc 72:208–215MathSciNet
14.
Singh SK, Goswami AK, Sinha N (2015) Power system harmonic parameter estimation using Bilinear Recursive Least Square (BRLS) algorithm. Int J Electr Power Energy Syst 67:1–10
15.
Badoni M, Singh A, Singh B (2015) Variable forgetting factor recursive least square control algorithm for DSTATCOM. IEEE Trans Power Deliv 30(5):2353–2361
16.
Singh SK, Sinha N, Goswami AK, Sinha N (2015) Variable Constraint based Least Mean Square algorithm for power system harmonic parameter estimation. Int J Electr Power Energy Syst 73:218–228
17.
Veček N, Črepinšek M, Mernik M (2017) On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms. Appl Soft Comput 54:23–45
18.
Ravber M, Mernik M, Črepinšek M (2017) The impact of quality indicators on the rating of multi-objective evolutionary algorithms. Appl Soft Comput 55:265–275
19.
Jesenko D, Mernik M, Žalik B, Mongus D (2017) Two-level evolutionary algorithm for discovering relations between nodes’ features in a complex network. Appl Soft Comput 56:82–93
20.
He C, Tian Y, Jin Y, Zhang X, Pan L (2017) A radial space division based evolutionary algorithm for many-objective optimization. Appl Soft Comput 61:603–621
21.
Masood Z et al (2017) Design of Mexican Hat Wavelet neural networks for solving Bratu type nonlinear systems. Neurocomputing 221:1–14
22.
Raja MAZ, Farooq U, Chaudhary NI, Wazwaz AM (2016) Stochastic numerical solver for nanofluidic problems containing multi-walled carbon nanotubes. Appl Soft Comput 38:561–586
23.
Raja MAZ, Mehmood A, Niazi SA, Shah SM Computational intelligence methodology for the analysis of RC circuit modelled with nonlinear differential order system. Neural Comput Appl 1–20
24.
Raja MAZ (2014) Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP. Connect Sci 26(3):195–214MathSciNet
25.
Heidari AA, Abbaspour RA, Jordehi AR (2017) Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems. Appl Soft Comput 57:657–671
26.
El-Fergany AA, Hasanien HM (2018) Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons. Appl Soft Comput 64:307–316
27.
Raja MAZ, Shah AA, Mehmood A, Chaudhary NI, Aslam MS (2018) Bio-inspired computational heuristics for parameter estimation of nonlinear Hammerstein controlled autoregressive system. Neural Comput Appl 29(12):1455–1474
28.
Raja MAZ, Shah FH, Alaidarous ES, Syam MI (2017) Design of bio-inspired heuristic technique integrated with interior-point algorithm to analyze the dynamics of heartbeat model. Appl Soft Comput 52:605–629
29.
Raja MAZ, Aslam MS, Chaudhary NI, Nawaz M, Shah SM Design of hybrid nature-inspired heuristics with application to active noise control systems. Neural Comput Appl pp 1–29
30.
Hitomi N, Selva D (2018) Incorporating expert knowledge into evolutionary algorithms with operators and constraints to design satellite systems. Appl Soft Comput 66:330–345
31.
Raja MAZ, Ahmed T, Shah SM (2017) Intelligent computing strategy to analyze the dynamics of convective heat transfer in MHD slip flow over stretching surface involving carbon nanotubes. J Taiwan Inst Chem Eng 80:935–953
32.
33.
Zameer A et al (2017) Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks. Energy Convers Manag 134:361–372
34.
Majeed K, Masood Z, Samar R, Raja MAZ (2017) A genetic algorithm optimized Morlet wavelet artificial neural network to study the dynamics of nonlinear Troesch’s system. Appl Soft Comput 56:420–435
35.
Ahmad I et al (2016) Bio-inspired computational heuristics to study Lane–Emden systems arising in astrophysics model. SpringerPlus 5(1):1866
36.
Raja MAZ, Zameer A, Khan AU, Wazwaz AM (2016) A new numerical approach to solve Thomas–Fermi model of an atom using bio-inspired heuristics integrated with sequential quadratic Programming. SpringerPlus 5(1):1400
37.
Akbar S et al (2017) Design of bio-inspired heuristic techniques hybridized with sequential quadratic programming for joint parameters estimation of electromagnetic plane waves. Wireless Pers Commun 96(1):1475–1494
38.
Naderi E, Azizivahed A, Narimani H, Fathi M, Narimani MR (2017) A comprehensive study of practical economic dispatch problems by a new hybrid evolutionary algorithm. Appl Soft Comput 61:1186–1206
39.
Ara A et al (2018) Wavelets optimization method for evaluation of fractional partial differential equations: an application to financial modelling. Adv Differ Equ 2018(1):8MathSciNetMATH
40.
41.
Zhou L, Li X, Xu H, Zhu P (2016) Multi-innovation stochastic gradient method for harmonic modelling of power signals. IET Signal Proc 10(7):737–742
42.
Chaudhary NI, Zubair S, Raja MAZ (2017) A new computing approach for power signal modeling using fractional adaptive algorithms. ISA Trans 68:189–202
43.
Storn R, Price K (1997) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–359MathSciNetMATH
44.
Diab DM, El Hindi KM (2017) Using differential evolution for fine tuning naïve Bayesian classifiers and its application for text classification. Appl Soft Comput 54:183–199
45.
Sakr WS, El-Sehiemy RA, Azmy AM (2017) Adaptive differential evolution algorithm for efficient reactive power management. Appl Soft Comput 53:336–351
46.
Feng ZK, Niu WJ, Zhou JZ, Cheng CT, Zhang YC (2017) Scheduling of short-term hydrothermal energy system by parallel multi-objective differential evolution. Appl Soft Comput 61:58–71
47.
Rajesh K, Kannan S, Thangaraj C (2016) Least cost generation expansion planning with wind power plant incorporating emission using differential evolution algorithm. Int J Electr Power Energy Syst 80:275–286
48.
Fateh MF et al (2017) Biologically inspired computing framework for solving two-point boundary value problems using differential evolution. Neural Comput Appl 28(8):2165–2179
49.
Ara A et al (2018) Numerical simulation for Jeffery–Hamel flow and heat transfer of micropolar fluid based on differential evolution algorithm. AIP Adv 8(1):015201
50.
Das S, Mullick SS, Suganthan PN (2016) Recent advances in differential evolution—an updated survey. Swarm Evolut Comput 27:1–30
51.
Piotrowski AP (2017) Review of differential evolution population size. Swarm Evolut Comput 32:1–24
52.
Jebaraj L, Venkatesan C, Soubache I, Rajan CCA (2017) Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: a review. Renew Sustain Energy Rev 77:1206–1220
53.
Das S, Suganthan PN (2011) Differential evolution: a survey of the state-of-the-art. IEEE Trans Evol Comput 15(1):4–31
54.
Mitchell M (1998) An introduction to genetic algorithms. MIT Press, CambridgeMATH
55.
Coley DA (1999) An introduction to genetic algorithms for scientists and engineers. World Scientific Publishing Company
56.
Fernández RÁ, Caraballo SC, Cilleruelo FB, Lozano JA (2018) Fuel optimization strategy for hydrogen fuel cell range extender vehicles applying genetic algorithms. Renew Sustain Energy Rev 81:655–668
57.
Mehmood A et al (2018) Intelligent computing to analyze the dynamics of Magnetohydrodynamic flow over stretchable rotating disk model. Appl Soft Comput 67:8–28
58.
Horton P, Jaboyedoff M, Obled C (2018) Using genetic algorithms to optimize the analogue method for precipitation prediction in the Swiss Alps. J Hydrol 556:1220–1231
59.
Raja MAZ, Aslam MS, Chaudhary NI, Khan WU (2018) Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification of secondary path. Front Inf Technol Electron Eng 19(2):246–259
60.
Oztekin A, Al-Ebbini L, Sevkli Z, Delen D (2018) A decision analytic approach to predicting quality of life for lung transplant recipients: a hybrid genetic algorithms-based methodology. Eur J Oper Res 266(2):639–651MathSciNetMATH
61.
Raja MAZ, Zameer A, Kiani AK, Shehzad A, Khan MAR (2018) Nature-inspired computational intelligence integration with Nelder–Mead method to solve nonlinear benchmark models. Neural Comput Appl 29(4):1169–1193
62.
Hooke R, Jeeves TA (1961) Direct search solution of numerical and statistical problems. J ACM (JACM) 8(2):212–229MATH
63.
64.
Kumar LS, Kumar GN, Madichetty S (2017) Pattern search algorithm based automatic online parameter estimation for AGC with effects of wind power. Int J Electr Power Energy Syst 84:135–142
65.
Narang N, Sharma E, Dhillon JS (2017) Combined heat and power economic dispatch using integrated civilized swarm optimization and Powell’s pattern search method. Appl Soft Comput 52:190–202
66.
Guo N, Yang Z, Wang L, Ouyang Y, Zhang X (2018) Dynamic model updating based on strain mode shape and natural frequency using hybrid pattern search technique. J Sound Vib 422:112–130
Metadata
Title
Novel computing paradigms for parameter estimation in power signal models
Publication date
12-03-2019
Published in
Neural Computing and Applications / Issue 10/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04133-9

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