Hybrid adaptive ‘gbest’-guided gravitational search and pattern search algorithm for automatic generation control of multi-area power system

In this research article, a maiden approach of hybrid adaptive ‘gbest’ guided gravitational search and pattern search (hGGSA-PS) optimization method are proposed for load frequency control (LFC) of multi-area interconnected power system considering the nonlinear effect of generation rate constraint...

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Vydáno v:	IET generation, transmission & distribution Ročník 11; číslo 13; s. 3257 - 3267
Hlavní autoři:	Khadanga, Rajendra Kumar, Kumar, Amit
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 07.09.2017
Témata:	automatic generation control frequency control generation rate constraint hGGSA‐PS optimisation method Hybrid adaptive gbest‐guided gravitational search hydrothermal power system hydrothermal power systems integral time absolute error ITAE fitness function load frequency control load regulation multisource power system multi‐area interconnected power system nonlinear control systems nonlinear effect optimisation pattern search algorithm performance index PID controller power generation control power system interconnection proportional integral derivative controller Research Article search problems thermal power stations three‐term control tie‐line power deviation two‐area single‐stage thermal‐thermal power system thermal power stations proportional integral derivative controller PID controller two-area single-stage thermal-thermal power system power generation control multisource power system hydrothermal power systems optimisation load frequency control power system interconnection performance index search problems load regulation nonlinear effect ITAE fitness function integral time absolute error three-term control Hybrid adaptive gbest-guided gravitational search frequency control automatic generation control multi-area interconnected power system generation rate constraint tie-line power deviation nonlinear control systems hydrothermal power system hGGSA-PS optimisation method pattern search algorithm
ISSN:	1751-8687, 1751-8695
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Popis
Shrnutí:	In this research article, a maiden approach of hybrid adaptive ‘gbest’ guided gravitational search and pattern search (hGGSA-PS) optimization method are proposed for load frequency control (LFC) of multi-area interconnected power system considering the nonlinear effect of generation rate constraint (GRC). At first, the two area single stage thermal–thermal power system with conventional proportional integral derivative (PID) controller is analyzed and the parameters of the PID controller are optimized by the proposed technique. Initially, the ‘gbest’ guided gravitational search algorithm (GGSA) using integral time absolute error (ITAE) fitness function is used and then pattern search (PS) technique is employed to fine-tune the obtained best solution from the GGSA. The supremacy of the hGGSA-PS optimized PID controller is presented by comparing its results with other modern soft computing techniques. Later in order to demonstrate the robustness of the proposed controller, the sensitive analysis is performed. Finally, the proposed technique is extended to a two area multi-source power system. The parameters of the controller for each area are optimized using the novel hGGSA-PS technique. From the simulation results, it can be seen that the proposed technique has superior performance than the prior results with lesser settling time and different performance index values.
ISSN:	1751-8687 1751-8695
DOI:	10.1049/iet-gtd.2016.1542