Skip to main content
Top

2022 | OriginalPaper | Chapter

21. An Optimal Control Scheme for Thermal-Hydro System with Distributive Energy Sources

Authors : Nagendra Kumar, Brijesh Prasad, Kailash Sharma, Rajat Mehrotra, Vinamra Kumar Govil

Published in: Computational and Experimental Methods in Mechanical Engineering

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wind, solar, fuel cell, small hydro, etc., are emerging technologies for renewable energy and can be built in the future as feasible electricity generation options. This paper introduces the load frequency control (LFC) in the presence of renewable energy resources. The study considers Wind turbine generator (WTG), Solar thermal power system (STPS), Photovoltaic (PV), Diesel source (DEPS), Fuel cell (FC), Battery storage system (BESS), Flywheel (FWES), Ultra capacitor (UC) and Aqua electrolyzer (AE), for sudden load/generation shifts, or both, the power system frequency deviates. The addition of a renewable system also results in a difficult task for an efficient controller design to be realized. With random load variance, the complexity to design an efficient and optimal control scheme is further enhanced. In this study, as an LFC control scheme, a PID controller is used. Two evolutionary approaches named as Big Bang Big Crunch (BBBC) and Harmony Search (HS) have been used to obtain optimal parameters. The performance of the control scheme has been checked two area and three area thermal-hydro system in the presence of other generation and energy storage sources. A comparative assessment of various quantities has been carried out on the basis of different time-domain parameters.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Ray, P., Mohanty, S., Kishor, N.: Proportional integral controller based small signal analysis of hybrid distributed generation system. Energy Convers. Manage. 52, 1943–1954 (2011)CrossRef Ray, P., Mohanty, S., Kishor, N.: Proportional integral controller based small signal analysis of hybrid distributed generation system. Energy Convers. Manage. 52, 1943–1954 (2011)CrossRef
2.
go back to reference Kumar, N., Tyagi, B., Kumar, V.: Multi area AGC scheme using imperialist competition algorithm in restructured power system. Appl. Soft Comput.-Elsevier 48, 160–168 (2016)CrossRef Kumar, N., Tyagi, B., Kumar, V.: Multi area AGC scheme using imperialist competition algorithm in restructured power system. Appl. Soft Comput.-Elsevier 48, 160–168 (2016)CrossRef
3.
go back to reference Kumar, N., Tyagi, B., Kumar, V.: Optimization of PID parameters using BBBC for multi-area AGC scheme in deregulated power system. Turk. J. Electr. Eng. Comput. Sci. 24, 4105–4116 (2015)CrossRef Kumar, N., Tyagi, B., Kumar, V.: Optimization of PID parameters using BBBC for multi-area AGC scheme in deregulated power system. Turk. J. Electr. Eng. Comput. Sci. 24, 4105–4116 (2015)CrossRef
4.
go back to reference Kumar, N., Tyagi, B., Kumar, V.: Multi-area deregulated automatic generation control scheme of power system using imperialist competitive algorithm based robust controller. IETE J. Res.-Taylor & Francis 64, 528–537 (2017)CrossRef Kumar, N., Tyagi, B., Kumar, V.: Multi-area deregulated automatic generation control scheme of power system using imperialist competitive algorithm based robust controller. IETE J. Res.-Taylor & Francis 64, 528–537 (2017)CrossRef
5.
go back to reference Pandey, S.K., Mohanty, S.R., Kishor, N.: A literature survey on load frequency control for conventional and distribution generation power systems. Renew. Sustain. Energy Rev. 25, 318–334 (2013)CrossRef Pandey, S.K., Mohanty, S.R., Kishor, N.: A literature survey on load frequency control for conventional and distribution generation power systems. Renew. Sustain. Energy Rev. 25, 318–334 (2013)CrossRef
6.
go back to reference Rerkpreedapong, D., Hasanovic, A., Feliachi, A.: Robust load frequency control using genetic algorithms and linear matrix inequalities. IEEE Trans. Power Syst. 18(2), 855–861 (2003)CrossRef Rerkpreedapong, D., Hasanovic, A., Feliachi, A.: Robust load frequency control using genetic algorithms and linear matrix inequalities. IEEE Trans. Power Syst. 18(2), 855–861 (2003)CrossRef
7.
go back to reference Tan, W., Xu, Z.: Robust analysis and design of load frequency controller for power systems. Elect. Power Syst. Res. 79, 846–853 (2009)CrossRef Tan, W., Xu, Z.: Robust analysis and design of load frequency controller for power systems. Elect. Power Syst. Res. 79, 846–853 (2009)CrossRef
8.
go back to reference Debbarma, S., Saikia, L.C., Sinha, N.: Automatic generation control using two degree of freedom fractional order PID controller. Int. J. Elect. Power Energy Syst. 58, 120–129 (2014)CrossRef Debbarma, S., Saikia, L.C., Sinha, N.: Automatic generation control using two degree of freedom fractional order PID controller. Int. J. Elect. Power Energy Syst. 58, 120–129 (2014)CrossRef
9.
go back to reference Ghosal, S.P.: Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control. Elect. Power Syst. Res. 72, 203–212 (2004)CrossRef Ghosal, S.P.: Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control. Elect. Power Syst. Res. 72, 203–212 (2004)CrossRef
10.
go back to reference Elmas, C., Yigit, T.: Genetic algorithm based on-line tuning of a PI controller for a switched reluctance motor drive. Electr. Power Comp. Syst. 35(6), 675–691 (2007)CrossRef Elmas, C., Yigit, T.: Genetic algorithm based on-line tuning of a PI controller for a switched reluctance motor drive. Electr. Power Comp. Syst. 35(6), 675–691 (2007)CrossRef
11.
go back to reference Li, H., Liu, S., Ji, H., Yang, D., Yang, C., Zhao, H.C.B., Hu, Y., Chen, Z.: Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system. Int. J. Elect. Power Energy Syst. 61, 279–287 (2014)CrossRef Li, H., Liu, S., Ji, H., Yang, D., Yang, C., Zhao, H.C.B., Hu, Y., Chen, Z.: Damping control strategies of inter-area low-frequency oscillation for DFIG-based wind farms integrated into a power system. Int. J. Elect. Power Energy Syst. 61, 279–287 (2014)CrossRef
12.
go back to reference Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. SIMULATION 76, 60–68 (2001)CrossRef Geem, Z.W., Kim, J.H., Loganathan, G.V.: A new heuristic optimization algorithm: harmony search. SIMULATION 76, 60–68 (2001)CrossRef
Metadata
Title
An Optimal Control Scheme for Thermal-Hydro System with Distributive Energy Sources
Authors
Nagendra Kumar
Brijesh Prasad
Kailash Sharma
Rajat Mehrotra
Vinamra Kumar Govil
Copyright Year
2022
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-2857-3_24

Premium Partners