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2021 | OriginalPaper | Chapter

Evaluation of the Applicability and Advantages of Application of Artificial Neural Network Based Scanning System for Grid Networks

Authors : Shubhranshu Kumar Tiwary, Jagadish Pal, Chandan Kumar Chanda

Published in: Progress in Advanced Computing and Intelligent Engineering

Publisher: Springer Singapore

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Abstract

This chapter presents the application of an artificial neural network-based monitoring system power grid network. Neural net modules used for this study are of two kinds, a distributed separate artificial neural net (ANN) module to monitor all lines individually from separate points in the network and central common multiple-input, multiple-layer ANN to monitor all lines together. Only the active power flowing on all the lines of the utility network were monitored using the ANN’s. This work elaborates and evaluates the technical repercussions of both the modules. The ANN model employed was a feed-forward net with backpropagation of error. The aspiration of the task is to deliberate on the opportunities and obstacles of the various configurations of ANN models employed.

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Literature
1.
go back to reference Jain MB, Srinivas MB, Jain A (2008) A novel web based expert system architecture for on-line and off-line fault diagnosis and control (FDC) of power system equipment. In: 2008 joint international conference on power system technology and IEEE power India conference. IEEE, pp 1–5 Jain MB, Srinivas MB, Jain A (2008) A novel web based expert system architecture for on-line and off-line fault diagnosis and control (FDC) of power system equipment. In: 2008 joint international conference on power system technology and IEEE power India conference. IEEE, pp 1–5
2.
go back to reference Sachdev MS, Agarwal R (1988) A technique for estimating transmission line fault locations from digital impedance relay measurements. IEEE Trans Power Delivery 3(1):121–129CrossRef Sachdev MS, Agarwal R (1988) A technique for estimating transmission line fault locations from digital impedance relay measurements. IEEE Trans Power Delivery 3(1):121–129CrossRef
3.
go back to reference Koushanfar F, Potkonjak M, Sangiovanni-Vincentelli A (2003) On-line fault detection of sensor measurements. In: Sensors, IEEE, vol 2. IEEE, pp 974–979 Koushanfar F, Potkonjak M, Sangiovanni-Vincentelli A (2003) On-line fault detection of sensor measurements. In: Sensors, IEEE, vol 2. IEEE, pp 974–979
4.
go back to reference Slootweg JG, Polinder H, Kling WL (2001) Dynamic modelling of a wind turbine with doubly fed induction generator. In: 2001 Power engineering society summer meeting. Conference proceedings (Cat. No. 01CH37262), vol 1. IEEE, pp 644–649 Slootweg JG, Polinder H, Kling WL (2001) Dynamic modelling of a wind turbine with doubly fed induction generator. In: 2001 Power engineering society summer meeting. Conference proceedings (Cat. No. 01CH37262), vol 1. IEEE, pp 644–649
5.
go back to reference Padulles J, Ault GW, McDonald JR (2000) An integrated SOFC plant dynamic model for power systems simulation. J Power Sources 86(1–2):495–500CrossRef Padulles J, Ault GW, McDonald JR (2000) An integrated SOFC plant dynamic model for power systems simulation. J Power Sources 86(1–2):495–500CrossRef
6.
go back to reference Glover F (1997) Tabu search and adaptive memory programming—advances, applications and challenges. In: Interfaces in computer science and operations research. Springer, Boston, MA, pp 1–75 Glover F (1997) Tabu search and adaptive memory programming—advances, applications and challenges. In: Interfaces in computer science and operations research. Springer, Boston, MA, pp 1–75
7.
go back to reference Bottou, L., 2010. Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT’2010 (pp. 177–186). Physica-Verlag HD Bottou, L., 2010. Large-scale machine learning with stochastic gradient descent. In Proceedings of COMPSTAT’2010 (pp. 177–186). Physica-Verlag HD
8.
go back to reference Rosten E, Porter R, Drummond T (2008) Faster and better: a machine learning approach to corner detection. IEEE Trans Pattern Anal Mach Intell 32(1):105–119CrossRef Rosten E, Porter R, Drummond T (2008) Faster and better: a machine learning approach to corner detection. IEEE Trans Pattern Anal Mach Intell 32(1):105–119CrossRef
9.
10.
go back to reference Klopf AH, Morgan JS (1990) The role of time in natural intelligence: implications for neural network and artificial intelligence research. In: Advanced neural computers. North-Holland, pp 201–207 Klopf AH, Morgan JS (1990) The role of time in natural intelligence: implications for neural network and artificial intelligence research. In: Advanced neural computers. North-Holland, pp 201–207
11.
go back to reference Klopf AH (1987) Drive-reinforcement learning: a real-time learning mechanism for unsupervised learning. In: Proceedings of the IEEE first annual international conference on neural networks, vol 2, pp 441–445 Klopf AH (1987) Drive-reinforcement learning: a real-time learning mechanism for unsupervised learning. In: Proceedings of the IEEE first annual international conference on neural networks, vol 2, pp 441–445
12.
go back to reference Zhang H, Qin C, Luo Y (2014) Neural-network-based constrained optimal control scheme for discrete-time switched nonlinear system using dual heuristic programming. IEEE Trans Autom Sci Eng 11(3):839–849CrossRef Zhang H, Qin C, Luo Y (2014) Neural-network-based constrained optimal control scheme for discrete-time switched nonlinear system using dual heuristic programming. IEEE Trans Autom Sci Eng 11(3):839–849CrossRef
13.
go back to reference Cheng L, Hou ZG, Lin Y, Tan M, Zhang WC, Wu FX (2011) Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks. IEEE Trans Neural Networks 22(5):714–726CrossRef Cheng L, Hou ZG, Lin Y, Tan M, Zhang WC, Wu FX (2011) Recurrent neural network for non-smooth convex optimization problems with application to the identification of genetic regulatory networks. IEEE Trans Neural Networks 22(5):714–726CrossRef
14.
go back to reference Hadjidemetriou L, Nicolaou G, Stavrou D, Kyriakides E (2016) Low-cost real-time monitoring of a laboratory scale power system. In: 2016 18th mediterranean electrotechnical conference (MELECON). IEEE, pp 1–6 Hadjidemetriou L, Nicolaou G, Stavrou D, Kyriakides E (2016) Low-cost real-time monitoring of a laboratory scale power system. In: 2016 18th mediterranean electrotechnical conference (MELECON). IEEE, pp 1–6
15.
go back to reference Zhai J, Wang Y, Liu X (2017) Optimal reset controller designed for induction machine drive with hardware in the loop test. In: 2017 IEEE applied power electronics conference and exposition (APEC). IEEE, pp 506–511 Zhai J, Wang Y, Liu X (2017) Optimal reset controller designed for induction machine drive with hardware in the loop test. In: 2017 IEEE applied power electronics conference and exposition (APEC). IEEE, pp 506–511
16.
go back to reference Tiwary SK, Pal J (2017) ANN application for MW security assessment of a large test bus system. In: 2017 3rd international conference on advances in computing, communication & automation (ICACCA) (Fall). IEEE, pp 1–4 Tiwary SK, Pal J (2017) ANN application for MW security assessment of a large test bus system. In: 2017 3rd international conference on advances in computing, communication & automation (ICACCA) (Fall). IEEE, pp 1–4
17.
go back to reference Tiwary SK, Pal J (2017) ANN application for voltage security assessment of a large test bus system: a case study on IEEE 57 bus system. In: 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA). IEEE, pp 332–334 Tiwary SK, Pal J (2017) ANN application for voltage security assessment of a large test bus system: a case study on IEEE 57 bus system. In: 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA). IEEE, pp 332–334
18.
go back to reference Tiwary SK, Pal J, Chanda CK (2017) Mimicking on-line monitoring and security estimation of power system using ANN on RT lab. In: 2017 IEEE Calcutta conference (CALCON). IEEE, pp 100–104 Tiwary SK, Pal J, Chanda CK (2017) Mimicking on-line monitoring and security estimation of power system using ANN on RT lab. In: 2017 IEEE Calcutta conference (CALCON). IEEE, pp 100–104
19.
go back to reference Tiwary SK, Pal J, Chanda CK (2019) Application of common ANN for Similar datatypes in on-line monitoring and security estimation of power system. In: Emerging technologies in data mining and information security. Springer, pp 3–11 Tiwary SK, Pal J, Chanda CK (2019) Application of common ANN for Similar datatypes in on-line monitoring and security estimation of power system. In: Emerging technologies in data mining and information security. Springer, pp 3–11
20.
go back to reference Khazaei J, Piyasinghe L, Miao Z, Fan L (2014) Real-time digital simulation modeling of single-phase PV in RT-LAB. In: 2014 IEEE PES general meeting|conference & exposition. IEEE, pp 1–5 Khazaei J, Piyasinghe L, Miao Z, Fan L (2014) Real-time digital simulation modeling of single-phase PV in RT-LAB. In: 2014 IEEE PES general meeting|conference & exposition. IEEE, pp 1–5
21.
go back to reference Wu W, Wu X, Jing L, Li J (2016) Design of modular multilevel converter hardware-in-loop platform based on RT-lab. In: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia) (pp. 2350–2355). IEEE Wu W, Wu X, Jing L, Li J (2016) Design of modular multilevel converter hardware-in-loop platform based on RT-lab. In: 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia) (pp. 2350–2355). IEEE
22.
go back to reference Huang, H., Liu, X., Wang, H. and Wu, H., 2017, June. Fault analysis of RT-Lab semi-physical simulation for east fast control power supply. In 2017 IEEE 3rd international future energy electronics conference and ECCE Asia (IFEEC 2017-ECCE Asia). IEEE, pp 1369–1374 Huang, H., Liu, X., Wang, H. and Wu, H., 2017, June. Fault analysis of RT-Lab semi-physical simulation for east fast control power supply. In 2017 IEEE 3rd international future energy electronics conference and ECCE Asia (IFEEC 2017-ECCE Asia). IEEE, pp 1369–1374
23.
go back to reference Hsu YY, Chen CR (1991) Tuning of power system stabilizers using an artificial neural network. IEEE Trans Energy Convers 6(4):612–619CrossRef Hsu YY, Chen CR (1991) Tuning of power system stabilizers using an artificial neural network. IEEE Trans Energy Convers 6(4):612–619CrossRef
24.
go back to reference Srinivasan D, Chang CS, Liew AC, Leong KC (1998) Power system security assessment and enhancement using artificial neural network. In: Proceedings of EMPD ’98, 1998 international conference on energy management and power delivery (Cat. No. 98EX137), vol 2. IEEE, pp 582–587 Srinivasan D, Chang CS, Liew AC, Leong KC (1998) Power system security assessment and enhancement using artificial neural network. In: Proceedings of EMPD ’98, 1998 international conference on energy management and power delivery (Cat. No. 98EX137), vol 2. IEEE, pp 582–587
25.
go back to reference Aggoune ME, Atlas LE, Cohn DA, Damborg MJ, El-Sharkawi MA, Marks RJ (1989) Artificial neural networks for power system static security assessment. In: IEEE international symposium on circuits and systems. IEEE, pp 490–494 Aggoune ME, Atlas LE, Cohn DA, Damborg MJ, El-Sharkawi MA, Marks RJ (1989) Artificial neural networks for power system static security assessment. In: IEEE international symposium on circuits and systems. IEEE, pp 490–494
26.
go back to reference Sobajic DJ, Pao YH (1989) Artificial neural-net based dynamic security assessment for electric power systems. IEEE Trans Power Syst 4(1):220–228CrossRef Sobajic DJ, Pao YH (1989) Artificial neural-net based dynamic security assessment for electric power systems. IEEE Trans Power Syst 4(1):220–228CrossRef
27.
go back to reference Pao YH, Sobajic DJ (1992) Combined use of unsupervised and supervised learning for dynamic security assessment. IEEE Trans Power Syst 7(2):878–884CrossRef Pao YH, Sobajic DJ (1992) Combined use of unsupervised and supervised learning for dynamic security assessment. IEEE Trans Power Syst 7(2):878–884CrossRef
28.
go back to reference Aggoune M, El-Sharkawi MA, Park DC, Dambourg MJ, Marks RJ (1989) Preliminary results on using artificial neural networks for security assessment (of power systems). In: Conference papers power industry computer application conference. IEEE, pp 252–258 Aggoune M, El-Sharkawi MA, Park DC, Dambourg MJ, Marks RJ (1989) Preliminary results on using artificial neural networks for security assessment (of power systems). In: Conference papers power industry computer application conference. IEEE, pp 252–258
29.
go back to reference Zhou Q, Davidson J, Fouad AA (1994) Application of artificial neural networks in power system security and vulnerability assessment. IEEE Trans Power Syst 9(1):525–532CrossRef Zhou Q, Davidson J, Fouad AA (1994) Application of artificial neural networks in power system security and vulnerability assessment. IEEE Trans Power Syst 9(1):525–532CrossRef
30.
go back to reference Jain T, Srivastava L, Singh SN, Erlich I (2005) New parallel radial basis function neural network for voltage security analysis. In: Proceedings of the 13th international conference on, intelligent systems application to power systems. IEEE, pp 7 Jain T, Srivastava L, Singh SN, Erlich I (2005) New parallel radial basis function neural network for voltage security analysis. In: Proceedings of the 13th international conference on, intelligent systems application to power systems. IEEE, pp 7
31.
go back to reference Nakawiro W, Erlich I (2008) Online voltage stability monitoring using artificial neural network. In: 2008 third international conference on electric utility deregulation and restructuring and power technologies. IEEE, pp 941–947 Nakawiro W, Erlich I (2008) Online voltage stability monitoring using artificial neural network. In: 2008 third international conference on electric utility deregulation and restructuring and power technologies. IEEE, pp 941–947
32.
go back to reference Saeh IS, Khairuddin A (2008) Static security assessment using artificial neural network. In: 2008 IEEE 2nd international power and energy conference. IEEE, pp 1172–1178 Saeh IS, Khairuddin A (2008) Static security assessment using artificial neural network. In: 2008 IEEE 2nd international power and energy conference. IEEE, pp 1172–1178
33.
go back to reference Ding N, Benoit C, Foggia G, Bésanger Y, Wurtz F (2015) Neural network-based model design for short-term load forecast in distribution systems. IEEE Trans Power Syst 31(1):72–81CrossRef Ding N, Benoit C, Foggia G, Bésanger Y, Wurtz F (2015) Neural network-based model design for short-term load forecast in distribution systems. IEEE Trans Power Syst 31(1):72–81CrossRef
34.
go back to reference Bulac C, Triştiu I, Mandiş A, Toma L (2015) On-line power systems voltage stability monitoring using artificial neural networks. In: 2015 9th international symposium on advanced topics in electrical engineering (ATEE). IEEE, pp 622–625 Bulac C, Triştiu I, Mandiş A, Toma L (2015) On-line power systems voltage stability monitoring using artificial neural networks. In: 2015 9th international symposium on advanced topics in electrical engineering (ATEE). IEEE, pp 622–625
35.
go back to reference Bahmanyar AR, Karami A (2014) Power system voltage stability monitoring using artificial neural networks with a reduced set of inputs. Int J Electr Power Energy Syst 58:246–256CrossRef Bahmanyar AR, Karami A (2014) Power system voltage stability monitoring using artificial neural networks with a reduced set of inputs. Int J Electr Power Energy Syst 58:246–256CrossRef
36.
go back to reference Basnet SM, Aburub H, Jewell W (2016) An artificial neural network-based peak demand and system loss forecasting system and its effect on demand response programs. In: 2016 Clemson University power systems conference (PSC). IEEE, pp 1–5 Basnet SM, Aburub H, Jewell W (2016) An artificial neural network-based peak demand and system loss forecasting system and its effect on demand response programs. In: 2016 Clemson University power systems conference (PSC). IEEE, pp 1–5
37.
go back to reference Shi HF (2010) Short-term load forecasting based on Bayesian neural networks learned by Hybrid Monte Carlo method. In: 2010 international conference on machine learning and cybernetics, vol 3. IEEE, pp 1494–1499 Shi HF (2010) Short-term load forecasting based on Bayesian neural networks learned by Hybrid Monte Carlo method. In: 2010 international conference on machine learning and cybernetics, vol 3. IEEE, pp 1494–1499
38.
go back to reference Chakrabarti S, Jeyasurya B (2004) On-line voltage stability monitoring using artificial neural network. In: 2004 large engineering systems conference on power engineering (IEEE Cat. No. 04EX819). IEEE, pp 71–75 Chakrabarti S, Jeyasurya B (2004) On-line voltage stability monitoring using artificial neural network. In: 2004 large engineering systems conference on power engineering (IEEE Cat. No. 04EX819). IEEE, pp 71–75
39.
go back to reference Panasetsky D, Tomin N (2013) Using of neural network technology and multi-agent systems to preventing large-scale emergencies in electric power systems. In: 2013 4th international youth conference on energy (IYCE). IEEE, pp. 1–8 Panasetsky D, Tomin N (2013) Using of neural network technology and multi-agent systems to preventing large-scale emergencies in electric power systems. In: 2013 4th international youth conference on energy (IYCE). IEEE, pp. 1–8
40.
go back to reference Wang Z, Martí J, Zuo C (2017) On-line loading limit monitoring and reliability must-run development using artificial neural networks. In: 2017 IEEE power & energy society general meeting. IEEE, pp 1–5 Wang Z, Martí J, Zuo C (2017) On-line loading limit monitoring and reliability must-run development using artificial neural networks. In: 2017 IEEE power & energy society general meeting. IEEE, pp 1–5
41.
go back to reference Lahiri-Dutt K (2003) People, power and rivers: experiences from the Damodar river, India. Water Nepal J Water Res Devel 9(10):251–267 Lahiri-Dutt K (2003) People, power and rivers: experiences from the Damodar river, India. Water Nepal J Water Res Devel 9(10):251–267
42.
go back to reference Ghosh S (2011) Hydrological changes and their impact on fluvial environment of the lower Damodar basin over a period of fifty years of damming The Mighty Damodar River in Eastern India. Proc Social Behav Sci 19:511–519CrossRef Ghosh S (2011) Hydrological changes and their impact on fluvial environment of the lower Damodar basin over a period of fifty years of damming The Mighty Damodar River in Eastern India. Proc Social Behav Sci 19:511–519CrossRef
43.
go back to reference Lahiri-Dutt K (2012) Large dams and changes in an agrarian society: gendering the impacts of Damodar valley corporation in eastern India Lahiri-Dutt K (2012) Large dams and changes in an agrarian society: gendering the impacts of Damodar valley corporation in eastern India
44.
go back to reference Lahiri-Dutt K (2012) Large state and the community in water management case of the Damodar valley corporation, India Lahiri-Dutt K (2012) Large state and the community in water management case of the Damodar valley corporation, India
45.
go back to reference Yu Y, Lin W (2006) Study on the security assessment platform for electric power secondary system. In: 2006 international conference on power system technology. IEEE, pp 1–6 Yu Y, Lin W (2006) Study on the security assessment platform for electric power secondary system. In: 2006 international conference on power system technology. IEEE, pp 1–6
46.
go back to reference Bi T, Qin X, He R, Yang Q (2008) Risk theory based on-line power system security assessment. In: 2008 third international conference on electric utility deregulation and restructuring and power technologies. IEEE, pp 704–708 Bi T, Qin X, He R, Yang Q (2008) Risk theory based on-line power system security assessment. In: 2008 third international conference on electric utility deregulation and restructuring and power technologies. IEEE, pp 704–708
47.
go back to reference Cheng XR, Li M, Zhao HI (2007) Fuzzy security assessment of entropy-weight coefficient method applied in electric power information systems. In: 2007 international power engineering conference (IPEC 2007). IEEE, pp 784–787 Cheng XR, Li M, Zhao HI (2007) Fuzzy security assessment of entropy-weight coefficient method applied in electric power information systems. In: 2007 international power engineering conference (IPEC 2007). IEEE, pp 784–787
48.
go back to reference Marsadek M, Mohamed A, Nizam M, Norpiah ZM (2008) Risk based static security assessment in a practical interconnected power system. In: 2008 IEEE 2nd international power and energy conference. IEEE, pp 1619–1622 Marsadek M, Mohamed A, Nizam M, Norpiah ZM (2008) Risk based static security assessment in a practical interconnected power system. In: 2008 IEEE 2nd international power and energy conference. IEEE, pp 1619–1622
49.
go back to reference Min Y, Lin Z, Qiao J, Jiang X (2005) On-line steady state security assessment of power systems by SMES. IEEE Trans Appl Supercond 15(2):1923–1926CrossRef Min Y, Lin Z, Qiao J, Jiang X (2005) On-line steady state security assessment of power systems by SMES. IEEE Trans Appl Supercond 15(2):1923–1926CrossRef
50.
go back to reference Wang L, Howell F, Morison K (2008) A framework for special protection system modeling for dynamic security assessment of power systems. In: 2008 joint international conference on power system technology and IEEE power India conference. IEEE, pp 1–6 Wang L, Howell F, Morison K (2008) A framework for special protection system modeling for dynamic security assessment of power systems. In: 2008 joint international conference on power system technology and IEEE power India conference. IEEE, pp 1–6
51.
go back to reference Hou Z (2010) Application of GB/T20984 in electric power information security risk assessment. In: 2010 international conference on measuring technology and mechatronics automation, vol 1. IEEE, pp 616–619 Hou Z (2010) Application of GB/T20984 in electric power information security risk assessment. In: 2010 international conference on measuring technology and mechatronics automation, vol 1. IEEE, pp 616–619
Metadata
Title
Evaluation of the Applicability and Advantages of Application of Artificial Neural Network Based Scanning System for Grid Networks
Authors
Shubhranshu Kumar Tiwary
Jagadish Pal
Chandan Kumar Chanda
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-6584-7_23