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首页> 外文期刊>International journal of applied evolutionary computation >Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems
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Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems

机译:经济和排放调度相结合的杂草优化

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摘要

In this paper, Invasive, Weed Optimization (IWO) algorithm is used to find the optimum solution of Combined Economic Emission Dispatch (CEED) problem. The main objective is to minimize the fuel cost as well as emission level, while satisfying the power demand and associative operational constraints. The bi-objective problem is made to a single objective function using the price penalty factor. Since, the minimize fuel cost and emission are contradictory to each other so to get the optimum compromise solution, weighing factor is used. IWO is applied on three different standard test cases i.e. 6 generators, 10 generators and 40 generators system. To measure the effectiveness and quality of solution, test results have been compared with other existing relevant approaches.
机译:本文采用有创杂草优化(IWO)算法来寻找组合经济排放调度(CEED)问题的最优解决方案。主要目标是在满足动力需求和相关操作限制的同时,将燃料成本和排放水平降至最低。使用价格惩罚因子将双目标问题设为单个目标函数。由于最小化的燃料成本和排放相互矛盾,因此要获得最佳的折衷解决方案,可使用称重因子。 IWO适用于三种不同的标准测试用例,即6台发电机,10台发电机和40台发电机系统。为了衡量解决方案的有效性和质量,已将测试结果与其他现有相关方法进行了比较。

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