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Normal Boundary Intersection based multi-objective Harmony Search algorithm for environmental Economic Load Dispatch problem

机译:基于普通边界交叉口的环境经济负荷调度问题的多目标和声搜索算法

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The growing concern over the increasing cost of fossil fuels and the adverse effects of gaseous emissions from power plants call for operating the power plants in a more economical and environment-friendly way. This paper presents a multi-objective model for the environmental economic dispatch (EED) problem with two conflicting objectives: fuel cost and gaseous emission. To model the problem accurately a nonlinear cost function has been considered with valve point loading effect and power transmission line losses. EED is thus a constrained non-linear multi-objective optimization problem. For solving this, a novel numerical optimization method has been proposed in this paper. Normal boundary intersection approach has been used to decompose the problem into several single-objective subproblems which are then solved using the Harmony Search algorithm. The performance of the proposed algorithm is validated on three test systems and the results obtained have been compared to those of several other methods to demonstrate the capabilities of the proposed algorithm.
机译:对化石燃料的成本越来越多的担忧以及电厂排放的不利影响,要求以更经济和环保的方式操作电厂。本文为环境经济调度(EED)问题提供了两种冲突目标的多目标模型:燃料成本和气体排放。为了模拟问题,准确地考虑了阀点加载效果和电力传输线损耗的非线性成本函数。因此,EED是一个受约束的非线性多目标优化问题。为了解决这一点,本文提出了一种新颖的数控优化方法。正常边界交叉路口方法已被用于将问题分解为几个单个目标子问题,然后使用和声搜索算法解决。在三个测试系统上验证了所提出的算法的性能,并将获得的结果与其他几种方法的结果进行了比较,以证明所提出的算法的能力。

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