| Title | A Synchronous Iterative Method of Power Flow in Inter-Connected Power Grids Considering Privacy Preservation: A CPS Perspective |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Tian, Nianfeng, Guo, Qinglai, Sun, Hongbin, Huang, Jianye |
| Conference Name | 2020 IEEE 4th Conference on Energy Internet and Energy System Integration (EI2) |
| Keywords | cps privacy, human factors, Information Masking, Internet, Iterative methods, Load flow, Mathematical model, power flow, privacy, privacy preservation, pubcrawl, Smart grids, Synchronous Iteration, system integration |
| Abstract | The increasing development of smart grid facilitates that modern power grids inter-connect with each other and form a large power system, making it possible and advantageous to conduct coordinated power flow among several grids. The communication burden and privacy issue are the prominent challenges in the application of synchronous iteration power flow method. In this paper, a synchronous iterative method of power flow in inter-connected power grid considering privacy preservation is proposed. By establishing the masked model of power flow for each sub-grid, the synchronous iteration is conducted by gathering the masked model of sub-grids in the coordination center and solving the masked correction equation in a concentration manner at each step. Generally, the proposed method can concentrate the major calculation of power flow on the coordination center, reduce the communication burden and guarantee the privacy preservation of sub-grids. A case study on IEEE 118-bus test system demonstrate the feasibility and effectiveness of the proposed methodology. |
| DOI | 10.1109/EI250167.2020.9347366 |
| Citation Key | tian_synchronous_2020 |
A Synchronous Iterative Method of Power Flow in Inter-Connected Power Grids Considering Privacy Preservation: A CPS Perspective