| 电力系统暂态稳定紧急控制并行序贯优化算法 |
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| 引用本文： | 甘国晓,耿光超,仲悟之,江全元,徐振华,苏毅,黄霆.电力系统暂态稳定紧急控制并行序贯优化算法[J].电力自动化设备,2018,38(8). |
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| 作者姓名： | 甘国晓 耿光超 仲悟之 江全元 徐振华 苏毅 黄霆 |
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| 作者单位： | 浙江大学电气工程学院;中国电力科学研究院有限公司;国网福建省电力有限公司电力科学研究院 |
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| 基金项目： | 国家重点研发计划项目(2017YFB0902000)；国家自然科学基金资助项目(51607155)；国家电网公司科技项目(XT71-16-034) |
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| 摘 要： | 电力系统暂态稳定紧急控制可建模成一个大规模的动态优化问题,为此,提出一种基于并行灵敏度分析的双层优化算法。在仿真层,采用有限元正交配置离散微分代数方程,并结合并行计算技术求解状态量及灵敏度;在优化层,采用预测校正内点法求解较小规模的非线性规划问题。算例结果表明,所提方法具有较高的计算效率。
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| 关 键 词： | 电力系统 暂态稳定 紧急控制 切机切负荷 有限元正交配置 并行计算 |
| 收稿时间： | 2017/11/5 0:00:00 |
| 修稿时间： | 2018/6/13 0:00:00 |
Parallel sequential optimization algorithm for transient stability emergency control of power system |
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| GAN Guoxiao,GENG Guangchao,ZHONG Wuzhi,JIANG Quanyuan,XU Zhenhu,SU Yi and HUANG Ting.Parallel sequential optimization algorithm for transient stability emergency control of power system[J].Electric Power Automation Equipment,2018,38(8). |
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| Authors: | GAN Guoxiao GENG Guangchao ZHONG Wuzhi JIANG Quanyuan XU Zhenhu SU Yi and HUANG Ting |
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| Affiliation: | College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,China Electric Power Research Institute, Beijing 100192, China,College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China,State Grid Fujian Electric Power Research Institute, Fuzhou 350007, China,State Grid Fujian Electric Power Research Institute, Fuzhou 350007, China and State Grid Fujian Electric Power Research Institute, Fuzhou 350007, China |
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| Abstract: | The transient stability emergency control of power system can be modeled as a large scale dynamic optimization problem, for which a two-layer optimization algorithm based on the parallel sensitivity analysis is proposed. In the simulation layer, the differential algebraic equations are discretized by the orthogonal collocation on finite elements, and the parallel computation technology is used to solve the state variables and sensitivities. In the optimization layer, the predictor-corrector interior point method is adopted to solve the nonlinear programming problem. Case study results show that the proposed method has high computational efficiency. |
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| Keywords: | electric power systems transient stability emergency control generator tripping and load shedding orthogonal collocation on finite elements parallel computing |
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