引用本文: | 彭慧敏,袁虎玲,鲍颜红,李峰.大电网病态潮流的识别和修正方法[J].电力系统保护与控制,2018,46(22):116-123.[点击复制] |
PENG Huimin,YUAN Huling,BAO Yanhong,LI Feng.Identification and correction method for ill-conditioned power flow of large scale network[J].Power System Protection and Control,2018,46(22):116-123[点击复制] |
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摘要: |
为指导潮流计算人员解决病态潮流的识别和修正,综述了大电网病态潮流的识别和修正方法。从数据的合理性、NR迭代初值给定、直流迭代、节点类型转换、迭代步长和不平衡量分摊策略,详细分析了影响潮流收敛性的六类因素,归纳了四类病态潮流的识别要素和指标,以及两类病态潮流修正方法。提出必须针对病态潮流收敛性的制约因素,依据不同病态特征确定调整措施、调整区间和调整方向,采用相应的修正方法。分析研究和算例验证表明,基于NR迭代信息的电压衰减比指标法,能够自动识别病态潮流及其制约因素和合适的调整区间和措施,通过优化调整实现病态潮流修正。 |
关键词: 病态潮流 影响因素 收敛性指标 识别 自动修正 |
DOI:10.7667/PSPC171569 |
投稿时间:2017-10-24修订日期:2017-12-14 |
基金项目:国家电网公司总部科技项目资助“大电网仿真收敛性能诊断方法研究” |
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Identification and correction method for ill-conditioned power flow of large scale network |
PENG Huimin,YUAN Huling,BAO Yanhong,LI Feng |
(NARI Group Corporation/State Grid Electric Power Research Institute, Nanjing 210003, China) |
Abstract: |
In order to guide the power flow calculation staff to identify and correct the ill-conditioned power flow, this paper summarizes the identification and correction methods of ill-conditioned power flow in the large scale power grid. It analyses in detail six types of factors which affect the power flow convergence from the data rationality, the NR iteration initial value, and the strategies of DC iteration, node type conversion, and iteration step and unbalance allocation, summarizes four kinds of ill-conditioned power flow identification elements and indicators, and proposes two kinds of ill-conditioned power flow correction methods. The correction of ill-conditioned power flow must adopt the corresponding correction methods according to different ill-conditioned characteristics and the restriction factors for the convergence to determine the appropriate adjustment range and measures. Numerical results and analysis show that the voltage attenuation index using the NR iterative information can automatically identify the ill-conditioned, restrictive factors and appropriate adjustment range and measures to optimize implementation of ill-conditioned power flow correction. This work is supported by Science and Technology Project of State Grid Corporation of China “Study of Diagnosis Method for Large Power Network Simulation Convergence Performance”. |
Key words: ill-conditioned power flow influencing factors convergence index identification automatic correction |