1Improved Grey Wolf Optimizer with Levy Flight to Solve Dynamic Economic Dispatch Problem with Electric Vehicle Profiles

Anjali Jain1*, Ashish Mani1 and Anwar S. Siddiqui2

1Department of Electrical and Electronics Engineering, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India

2Department of Electrical and Electronics Engineering, Jamia Milia Islamia, Delhi, India

Abstract

Meta-heuristic algorithm plays an important role in solving nonconvex, nondifferentiable complex problems. One such complex problem in the power system is dynamic economic dispatch (DED), which is difficult to solve while considering transmission losses and ramp-rate limits. The purpose of dynamic economic dispatch is to find power generated by different generating units for the given specified load while fulfilling the operational constraints along with ramp rate limit and also optimizing the cost of generation as well. Moreover, the problem considered in this chapter is of 15 generator test cases for 24 hours along with three distinct profiles of electric vehicles. Here, in this chapter, an improved version of the Grey wolf optimizer is utilized to optimize the cost objective function. In this variant, grey wolf optimizer prey position is modeled with the help of Levy probability distribution, which makes the modeling of prey dynamic in nature and, hence, showcases the more realistic modeling of the grey wolf hunting process. The selection of parameters for Levy flight is done with the help of ...

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