| Title | Static Security Assessment of Power System Considering Governor Nonlinearity |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Fan, Chengwei, Chen, Zhen, Wang, Xiaoru, Teng, Yufei, Chen, Gang, Zhang, Hua, Han, Xiaoyan |
| Conference Name | 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) |
| Date Published | may |
| Keywords | composability, contingency screen, dynamic power flow, Generators, governor nonlinearity, Human Behavior, Load flow, Load modeling, margin evaluation, Mathematical model, pubcrawl, Resiliency, security, static analysis, static security assessment, Steady-state |
| Abstract | Static security assessment is of great significance to ensure the stable transmission of electric power and steady operation of load. The scale of power system trends to expand due to the development of interconnected grid, and the security analysis of the entire network has become time-consuming. On the basis of synthesizing the efficiency and accuracy, a new method is developed. This method adopts a novel dynamic power flow (DPF) model considering the influence of governor deadband and amplitude-limit on the steady state quantitatively. In order to reduce the computation cost, a contingency screening algorithm based on binary search method is proposed. Static security assessment based on the proposed DPF models is applied to calculate the security margin constrained by severe contingencies. The ones with lower margin are chosen for further time-domain (TD) simulation analysis. The case study of a practical grid verifies the accuracy of the proposed model compared with the conventional one considering no governor nonlinearity. Moreover, the test of a practical grid in China, along with the TD simulation, demonstrates that the proposed method avoids massive simulations of all contingencies as well as provides detail information of severe ones, which is effective for security analysis of practical power grids. |
| DOI | 10.1109/ISGT-Asia.2019.8881781 |
| Citation Key | fan_static_2019 |
Static Security Assessment of Power System Considering Governor Nonlinearity