Salp Swarm Algorithm Optimized Tilt Integral Derivative Controller for Controlling the Frequency of Load in Multi Area Multi Source Power System With and Without Electric Vehicle

Authors

  • Deeksha .
  • Amit Kumar

Abstract

Abstract- In this paper, Salp Swarm Algorithm (SSA) is used to tune the parameters of tilt integral derivative (TID) controller to control the frequency of load in multi area interconnected multi source system in the presence of electric vehicle (EV). In the proposed system there are two areas and each area consist of three sources i.e. gas unit, hydro unit and reheat thermal unit . In order to exhibit the superiority of SSA, it is compared with number of other algorithms like, Local Unimodal Sampling (LUS), differential evolution (DE), Teaching learning based optimization (TLBO), all tuning the parameters of PID controller in the same system without EV. Further in the same system different type of controllers like I, PI, PID and TID tuned with the help of SSA are compared and the superiority of TID controller is demonstrated. Finally it can be seen that SSA optimized TID controller exhibit superior performance in the presence of electric vehicle as compared to in the absence of electric vehicle in terms of  settling time and maximum undershoot in frequency and tie-line power deviation.

Keywords— TID controller, electric vehicle, load frequency control, SSA

Cite this Article

Deeksha, Amit Kumar. Salp Swarm Algorithm Optimized Tilt Integral Derivative Controller for Controlling the Frequency of Load in Multi-Area Multi-Source Power System with and without Electric Vehicle. Journal of Communication Engineering & Systems. 2019; 9(2): 25–36p.

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Published

2019-07-18

Issue

Vol. 9 No. 2 (2019)

Section

Articles

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