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Solving Dynamic Economic Dispatch Problem with Plug-in Electric Vehicles using GWOLF

机译:使用GWOLF解决插电式电动汽车的动态经济调度问题

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Dynamic economic dispatch is defined as delegation of amount of electricity generated by different generating units for given time duration to meet the load demand and minimizing the cost while taking ramp rate in to consideration subject to constraints imposed on the system. The problem is solved for 24 hours demand along with the behavior of three different profiles of plug-in electric vehicles. This paper aims to introduce a novel variant of GWO to be employed to solve the dynamic economic dispatch problem. It is concluded that proposed algorithm is well suited for nonlinear and non-convex problems. Lastly, the numerical result by the given algorithm shows that the problem of the dynamic economic dispatch is not only well solved by the proposed algorithm but also gives competitive results as compared to state of art algorithms available in the literature.
机译:动态经济调度的定义是:在给定的持续时间内,满足负荷需求并在考虑斜坡速率的前提下,将不同发电机组的发电量委派到最小,从而将成本降到最低,同时还要考虑对系统施加的约束。该问题可解决24小时需求以及插入式电动汽车的三种不同配置文件的行为。本文旨在介绍一种新的GWO变体,用于解决动态经济调度问题。结论表明,所提出的算法非常适合非线性和非凸问题。最后,给定算法的数值结果表明,所提出的算法不仅可以很好地解决动态经济调度的问题,而且与文献中现有的算法相比也能提供有竞争力的结果。

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