基于层次分析法和云模型的风电场运行性能多维评价模型
摘要：为对风电场往年生产情况作出分析以便合理安排运维计划，最大限度提高风电场经济效益，考虑风电场运行状况的多层次性和多因素性，提出一种结合层次分析法和模糊数学理论的风电场运行性能多维评价模型。首先，分析风电场运行的影响因素，建立风电场运行性能多层次评价指标体系，包括设备运行因素、生产维护因素、电力消耗因素、电量因素等4个一级指标及12个二级指标，并利用层次分析法构建权重向量模型；其次，针对阈值附近指标评价难辨别的问题，采用改进云参数生成正态隶属云以确定各评价指标相对评价集的隶属度, 然后，通过权重向量和模糊关系模型进行模糊运算，得到风电场运行性能的多维综合评价结果。最后，以国内某风电场的实际运行数据为算例验证了所提评价模型的合理性和有效性。
Abstract:In order to arrange the operation and maintenance plan reasonably by analyzing production status of the wind farm in former years to improve economic performance to the greatest extent, considering the multilevel and multi-factor property of wind farm operation situation a multi-dimensional evaluation model, which combined Analytic Hierarchy Process (abbr. AHP) with fuzzy mathematic theory, was proposed. Firstly, analyzing the factors influencing wind farm operation, a multilevel evaluation index system for wind farm operation performance, which included four first grade indices, i.e., device operation, productive maintenance, power consumption and electric quantity as well as twelve second grade indices, was established, and the AHP was utilized to construct a weight vector model. Secondly, in allusion to the fact that the index evaluation near the threshold was hard to distinguish, the modified cloud parameters were adopted to generate the normal membership cloud to determine the membership degree of each evaluation index relative to the evaluation set, and then, by means of weight vectors and fuzzy relation model the fuzzy operation was performed to obtain the multi-dimensional comprehensive evaluation results of wind farm operation performance. Finally, taking practical operation data of a certain wind farm in China for computing example, both rationality and effectiveness of the proposed evaluation model is verified.
标题：基于层次分析法和云模型的风电场运行性能多维评价模型
英文标题：Multi-Dimensional Evaluation Model of Wind Farm Operation Performance Based on AHP and Cloud Model
作者：罗春辉, 瞿纲举, 邹同华, 汤涛, 谢佳, 罗茜,
关键词：风电场, 性能评价, 层次分析法, 模糊理论, 改进云参数,
发表日期：2021-12-10
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