| 引用本文: | 程斌杰,徐蔚,徐政.基于多直流落点系统稳定性的电网静态分区方案选择方法[J].电力自动化设备,2016,36(12): |
| CHENG Binjie,XU Wei,XU Zheng.Static segmentation scheme selection based on stability of multi-infeed HVDC system[J].Electric Power Automation Equipment,2016,36(12): |
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| 摘要: |
| 针对多直流落点系统静态分区方案的选择问题，提出多直流落点相互作用因子、多直流落点有效短路比、频率偏差因子3个评价指标，以及反映上述指标整体性和均衡性的子指标。建立线性加权和模型求解该多目标决策问题，采用综合赋权法计算权重系数，并提出基于多直流落点系统稳定性的电网静态分区方案选择方法。以实际电网为例，对静态分区方案进行评价和选择，得到最优方案。利用PSS/E平台对各方案的系统稳定性能进行仿真，结果表明，各分区方案的系统稳定性优劣排序与静态分区方案选择方法的计算结果排序具有一致性，验证了所提方法的有效性。 |
| 关键词: 多直流落点系统 静态分区 稳定性 多目标决策 评价指标 |
| DOI：10.16081/j.issn.1006-6047.2016.12.020 |
| 分类号: |
| 基金项目:国家高技术研究发展计划(863计划)资助项目(2011AA-05A119)；国家电网公司大电网重大专项资助项目课题(SGCC-MPLG001-031-2012) |
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| Static segmentation scheme selection based on stability of multi-infeed HVDC system |
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CHENG Binjie1, XU Wei2, XU Zheng1
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1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Grid Planning & Research Center, Guangdong Power Grid Corporation, Guangzhou 510080, China
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| Abstract: |
| Three evaluation indexes, i. e. interaction factor, effective short circuit ratio and frequency bias factor, are proposed for selecting the static segmentation scheme of multi-infeed HVDC system, and the sub-indexes are also proposed to reflect the integrity and equilibrium of these indexes. A linear weighted sum model is built to solve the multi-objective decision-making problem, the comprehensive weight assignment method is adopted to calculate the weight coefficients, and a method based on the stability of multi-infeed HVDC system for selecting the static segmentation scheme is put forward. As an example, the static segmentation schemes of a real power grid are evaluated and the optimal one is selected. The system stability is simulated on PSS / E for each scheme and the result shows that, its scheme sequence ranked according to the system stability is consistent with that selected by the proposed method, verifying its effectiveness. |
| Key words: multi-infeed HVDC system static segmentation stability multi-objective decision-making evaluation index |
