Multiverse optimisation: a novel method for solution of load frequency control problem in power system
Multiverse optimisation: a novel method for solution of load frequency control problem in power system
 Author(s): Dipayan Guha^{ 1} ; Provas Kumar Roy^{ 2} ; Subrata Banerjee^{ 3}
 DOI: 10.1049/ietgtd.2017.0296
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 Author(s): Dipayan Guha^{ 1} ; Provas Kumar Roy^{ 2} ; Subrata Banerjee^{ 3}


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Affiliations:
1:
Department of Electrical Engineering , Dr. B.C. Roy Engineering College , Durgapur, West Bengal , India ;
2: Department of Electrical Engineering , Kalyani Government Engineering College , Kalyani, West Bengal , India ;
3: Department of Electrical Engineering , National Institute of Technology , Durgapur, West Bengal , India

Affiliations:
1:
Department of Electrical Engineering , Dr. B.C. Roy Engineering College , Durgapur, West Bengal , India ;
 Source:
Volume 11, Issue 14,
28
September
2017,
p.
3601 – 3611
DOI: 10.1049/ietgtd.2017.0296 , Print ISSN 17518687, Online ISSN 17518695
In this article, a maiden attempt has been made to derive an optimal and effective outcome of load frequency control problem (LFC) using a novel evolutionary algorithm called multiverse optimisation. The main inspiration of this algorithm is based on three concepts in cosmology: white hole, black hole, and wormhole. To show the effectiveness, a fourarea hydrothermal power plant with distinct proportionalintegralderivative (PID) controller is investigated at the first instant and then the study is forwarded to the fivearea thermal power plant. To enhance the dynamic stability, an optimal PID plus doublederivative controller (PID + DD) is designed and included in the control areas. The superiority of the proposed method has been established over some recently addressed control algorithms by transient analysis method. To add some degree of nonlinearity, generation rate constraint and governor dead band are included in the model and their impacts on the system dynamics have been examined. Finally, a random load perturbation is given to the test systems to affirm the robustness of the designed controllers.
Inspec keywords: power system transient stability; thermal power stations; optimal control; load regulation; frequency control; threeterm control; power generation control; control system synthesis; evolutionary computation; optimisation; hydrothermal power systems
Other keywords: cosmology; white hole; multiverse optimisation; proportionalintegralderivative controller; power system; dynamic stability; black hole; PIDDD design; random load perturbation; generation rate constraint; optimal PID plus doublederivative controller design; evolutionary algorithm; wormhole; transient analysis method; governor dead band; load frequency control problem; LFC; fourarea hydrothermal power plant
Subjects: Control of electric power systems; Control system analysis and synthesis methods; Frequency control; Power system control; Thermal power stations and plants; Optimisation techniques; Hydroelectric power stations and plants; Optimal control; Optimisation techniques
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