Abstract
This article proposes a method to find the closest critical initial running state of power grid, aiming at the possible chain reaction failure caused by branch fault in power system. First of all, assuming the initial failure of power grid, considering the specific performance of relay protection, analyze the critical state of the branch in cascading trip in detail, the electrical distance between the current running state and the interlocking fault expressed in the form of nodal injection power is given. Secondly, on the basic of the relationship between the nodal injections power and the system safety, a safety level model that the system will not trigger cascading failures is established. Finally, the improved simplified mean particle swarm optimization algorithm is used to solve the model, and an example is analyzed on IEEE-14 node system. An example shows the effectiveness and feasibility of the proposed method, which provides a reference for further prevention of cascading trip accidents.
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Acknowledgment
This research was financially supported by Scientific Research Development Foundation of Fujian University of Technology under the grant GY-Z17149, and Scientific and Technological Research Project of Fuzhou under the grant GY-Z18058.
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Luo, J., Deng, HQ., Li, QB., Zheng, RJ., Li, PQ., Chang, KC. (2021). Power Grid Critical State Search Based on Improved Particle Swarm Optimization. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_50
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DOI: https://doi.org/10.1007/978-3-030-58669-0_50
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