Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method
Solving dynamic economic emission dispatch problem considering wind power by multi-objective differential evolution with ensemble of selection method
复制标题
集成选择法多目标差分演化求解考虑风电的动态经济排放调度问题
DOI：
10.1007/s11047-016-9598-6
复制
发表时间：
2019
影响因子：
2.1
通讯作者：
P. N. Suganthan
中科院分区：
文献类型：
--
作者：
B. Y. Qu;J. J. Liang;Y. S. Zhu;P. N. Suganthan
近年来，风电等清洁能源在发电中发挥着重要作用。在本文中，通过将风力发电厂纳入系统，使用多目标差分进化（MODE）的修改版本来解决扩展的动态经济排放调度（DEED）问题。 DEED是一个非线性、高度约束的多目标优化问题，预测负载随时间变化。燃料成本和污染排放是两个需要优化的目标，并且考虑了阀点效应、旋转储备、有功功率损失以及爬坡率。为了有效地求解模型，MODE 算法中使用了集成选择方法。采用实时输出调整和惩罚因子方法来处理复杂的约束。首先在几个多目标基准问题和不考虑风电的DEED问题上检验所提出的方法，以检验其解决多目标优化问题的有效性。其次，对考虑风电的模型进行了求解，结果表明该算法对于处理此类问题是有效的。
Clean energy resources such as wind power are playing an important role in power generation recently. In this paper, a modified version of multi-objective differential evolution (MODE) is used to tackle the extended dynamic economic emission dispatch (DEED) problem by incorporating wind power plant into the system. DEED is a nonlinear and highly constrained multi-objective optimization problem and the predicted load is varying with time. Fuel costs and pollution emission are the two objectives to be optimized and the valve point effect, spinning reserve, real power loss as well as the ramping rate are considered. To solve the model effectively, an ensemble of selection method is used in the MODE algorithm. The real-time output adjustment and penalty factor methods are used to deal with the complex constraints. The proposed method is firstly examined on several multi-objective benchmark problems and the DEED problem without considering the wind power to test its effectiveness of solving multi-objective optimization problems. Secondly, the model considering wind power is solved and the results show that the proposed algorithm is effective in handling such problems.