| 引用本文: | 曹楠,王天正,王冬青,赵宇.变压器直流偏磁治理站点选择优化研究[J].电力系统保护与控制,2017,45(10):117-122.[点击复制] |
| CAO Nan,WANG Tianzheng,WANG Dongqing,ZHAO Yu.Study on configuration optimization method of transformer magnetic bias treatment[J].Power System Protection and Control,2017,45(10):117-122[点击复制] |
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| 摘要: |
| 提出了一种利用多指标综合评价方法配置直流偏磁治理设备的优化方法。通过对变压器直流偏磁的产生机理及其影响因素的分析，利用多指标综合评价方法建立满意优化计算模型。计算各变电站在直流偏磁影响下运行状态的满意度及其需要进行直流偏磁治理的紧迫程度，采用迭代方法提取需要进行直流偏磁治理的最小变电站点集合。最后利用具体算例说明优化方法的使用效果。优化方法的使用可改善直流偏磁设备配置的合理性，扩大单台直流电流抑制设备的直流偏磁治理面积，提高了设备利用率，降低了直流偏磁治理的设备投入。 |
| 关键词: 直流偏磁治理 满意优化模型 效用最优化 效果评估 满意度 |
| DOI：10.7667/PSPC160776 |
| 投稿时间：2016-05-30修订日期：2016-08-01 |
| 基金项目:山西电力公司2015科技项目“直流特高压线路单极运行时在山西地质特点情况下对交流变电设备安全稳定运行的影响研究” |
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| Study on configuration optimization method of transformer magnetic bias treatment |
| CAO Nan,WANG Tianzheng,WANG Dongqing,ZHAO Yu |
| (NARI Group Corporation State Grid Electric Power Research Institute, Nanjing 211000, China;C-EPRI Electric Power Engineering Co., Ltd., Beijing 102200, China;Electric Power Research Institute, State Grid Shanxi Electric Power Company, Taiyuan 030001, China;Beijing SmartChip Microelectronics Technology Company Limited, Beijing 102200, China) |
| Abstract: |
| Configuration optimization method of transformer magnetic bias treatment is proposed on the basis of multi-index comprehensive evaluation. First, based on the analysis of the mechanism of transformer magnetic bias and its influence factors, this paper constructs a satisfactory optimization model. Followed, satisfaction degree and urgency of each substation influenced on transformer magnetic bias is calculated. Then the minimal set of substations that need to be treatment is selected by iterative algorithm. Finally, an example is given and the application effect of configuration optimization method is also summarized. With the applying of the configuration optimization method, the treatment devices of transformer magnetic bias can be rational distribution, and the control area by single treatment device can be extended. Moreover, equipment utilization can be improved and the investment of treatment device can be reduced. |
| Key words: DC bias treatment satisfactory optimization model utility optimization effect evaluation satisfaction degree |
