Power scheduling optimization under single-valued neutrosophic uncertainty
Power scheduling optimization under single-valued neutrosophic uncertainty
复制标题
单值中智不确定性下的电力调度优化
DOI：
10.1016/j.neucom.2019.11.089
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发表时间：
2020-03-21
期刊：
影响因子：
6
通讯作者：
Gui, Weihua
中科院分区：
文献类型：
--
作者：
Han, Jie;Yang, Chunhua;Gui, Weihua
约束表达不当的优化问题在实际工程中广泛存在。为了使系统的约束满足程度达到合理的程度，本文研究了一种处理系统不确定性的单值规划优化方法。首先，提出了一个基于单值熵的等价模型，将原问题转化为一个清晰的多目标优化问题。然后通过多目标状态转移算法得到优化问题的Pareto前沿。最后，通过多准则决策方法确定最优解。以锌电解过程为例，说明了该优化方法的有效性和优越性，为降低电费和满足日产量要求提供了一种更具成本效益的解决方案。(C)2019 Elsevier B.V.版权所有。
Optimization problems with improper expression of constraints exist widely in practical engineering. In order to achieve a reasonable degree of constraints satisfaction, this paper investigates a single-valued neutrosophic optimization method to deal with system uncertainty. Firstly, an equivalent model based on single-valued neutrosophic entropy is proposed to transform the original problem into a crisp multi-objective optimization problem. The Pareto-front of the optimization problem is then obtained by a multi-objective state transition algorithm. Finally, the best solution is determined by a multi-criteria decision making method. A practical example of a zinc electrowinning process is used to illustrate the effectiveness and advantage of the developed new optimization approach, which provides a more cost-effective solution to decrease the electricity utility charge and satisfy the daily output production requirements. (C) 2019 Elsevier B.V. All rights reserved.