A Novel Modern Power System Stabilizer Tuning Approach on Site Using Multi-objective Lighting Flash Algorithm

With the prominent nonlinear characteristics of the power grid system, power oscillation caused by the disturbance often occurs in the field. The injection of Power System Stabilizer (PSS) plays a certain role in suppressing low-frequency power oscillation. The on-site consideration of PSS tuning is mainly focused on phase compensation, ignoring the objective fact that PSS gain is insufficient in different frequency bands. In the research, it has been considered to increase the maximum system damping ratio and the optimal PSS phase compensation as the goal of PSS parameter tuning, which requires adding a model to simulate the load step. Simple simulation is easy to ignore the system characteristics and bring errors, refined modeling makes it difficult to realize the field test problem. Therefore, the PSS parameter tuning is abstracted into the form of mathematical optimization problem in this paper, and the Multi-Objective Lightning Flash Algorithm(MOLFA) is used as the solver to solve the PSS parameter tuning problem with an efficient, fast and accurate optimal parameter solving method that can be used for the needs of field tests.