| 引用本文: | 杜冰心,王德林.基于特征向量法的电池储能装置最佳安装地点选择[J].电力自动化设备,2015,35(8): |
| DU Bingxin,WANG Delin.Optimal installation location selection based on eigenvector analysis for battery energy storage device[J].Electric Power Automation Equipment,2015,35(8): |
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| 摘要: |
| 建立一种电池储能装置（CBEST）的数学模型，分析CBEST的安装地点对其功率补偿效果的影响，以选择CBEST的最佳安装地点；在PSS ／ E中利用自定义模块建立CBEST控制系统的数学模型；采用小信号分析法分析特征向量法用于储能选址的可行性，并给出特征向量模值的计算过程。IEEE 9节点系统的仿真结果验证了特征向量指标用于储能选址的准确性和有效性。 |
| 关键词: 电池 储能 最佳位置 特征向量法 PSS ／ E自定义模块 |
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| 基金项目:国家自然科学基金资助项目（51477143，51347007）；国家高技术研究发展计划（863计划）资助项目（2012AA050208） |
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| Optimal installation location selection based on eigenvector analysis for battery energy storage device |
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DU Bingxin, WANG Delin
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School of Electrical Engineering，Southwest Jiaotong University，Chengdu 610031，China
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| Abstract: |
| A mathematic model of CBEST（Cell and Battery Energy STorage） is built to analyze the effect of its installation location on the results of power compensation for selecting its optimal installation location. The user-defined module of PSS ／ E is applied to establish a model of CBEST control system. The small signal analysis method is adopted to analyze the feasibility of applying the eigenvector method to the optimal installation location selection of energy storage device and the calculation process of eigenvector modulus is given. The correctness and effectiveness of eigenvector indicators used in the optimal installation location selection of energy storage device are verified by the simulative results of IEEE 9-bus system. |
| Key words: electric batteries energy storage optimal position eigenvector method PSS ／ E user-defined module |
