Modified Grey Wolf Optimization Applied to Non-Convex Economic Load Dispatch in Current Power System Scenario

Author(s):  
Jagannath Paramguru ◽  
Subrat Kumar Barik
2016 ◽  
Vol 5 (4) ◽  
pp. 62-83 ◽  
Author(s):  
Dipayan Guha ◽  
Provas Kumar Roy ◽  
Subrata Banerjee

In this article, a novel optimization algorithm called grey wolf optimization (GWO) with the theory of quasi-oppositional based learning (Q-OBL) is proposed for the first time to solve load frequency control (LFC) problem. An equal two-area thermal power system equipped with classical PID-controller is considered for this study. The power system network is modeled with governor dead band and time delay nonlinearities to get better insight of LFC system. 1% load perturbation in area-1 is considered to appraise the dynamic behavior of concerned power system. Integral time absolute error and least average error based fitness functions are defined for fine tuning of PID-controller gains employing the proposed method. An extensive comparative analysis is performed to establish the superiority of proposed algorithm over other recently published algorithms. Finally, sensitivity analysis is performed to show the robustness of the designed controller with system uncertainties.


Power supply determines the adequacy to the consumer devices. Without real power, an electrical device fails to function normally.The purpose of this article is to study and realise the stability of a power system and its modelling .Thus, the purpose of this study is to reduce the problem of sag / swell of the voltage by using the proposed Distribution Static Synchronous Compensator (D-STATCOM). iThe D-STATCOM is proposed with advanced optimization technique.The stability, modelling and simulation of the electrical system is evaluate by MATLAB.The results thus obtained showed compatibility with the performance of DSTATCOM in reducing the sag of tension and swell.The results are very positive and giving hope for future and have shown that GWO is an effective optimization technique for solving various problems


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