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| A frequency coupling-based center-of-inertia frequency monitoring method under limited measurements |
| DOI：10.19783/j.cnki.pspc.260184 |
| Key Words:center-of-inertia frequency limited measurements phasor measurement unit frequency coupling bi-level optimization |
| Author Name | Affiliation | | ZHOU Peng | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China | | PAN Xueping | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China | | GUO Jinpeng | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China | | GU Yujia | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China | | SUN Xiaorong | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China | | WEI Yongkai | 1. College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
2. State Grid Ningxia Electric Power Co., Ltd. Electric Power Research Institute, Yinchuan 750001, China |
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| Abstract:To address the high deployment cost of full-network phasor measurement units (PMUs) and the instability of single-point measurement accuracy in center-of-inertia (COI) frequency monitoring, this paper proposes a COI frequency monitoring method under limited measurements. Based on the network topology, electrical distance, and generator inertia parameters, a frequency coupling index is defined to formulate a monitoring node selection model. For a given monitoring scale, all candidate node combinations are evaluated, and the node set with the minimum coupling index is selected. The corresponding weighting coefficients are identified using a least-squares method with Tikhonov regularization. Furthermore, a bi-level optimization framework is developed to coordinate monitoring accuracy and PMU deployment cost. Specifically, the lower-level optimization determines the optimal node combination, while the upper-level optimization identifies the optimal monitoring scale through a normalized objective function by balancing accuracy and cost, ultimately yielding the globally optimal PMU deployment scheme. Simulation results on a modified IEEE 39-bus system demonstrate that the proposed scheme achieves the best tradeoff between monitoring performance and economic efficiency, while providing accurate COI frequency estimation under various load disturbances and generator-tripping conditions. |
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