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This paper proposes a new hybrid optimization method for the phase-frequency characteristics of the double input power system stabilizer (PSS) based on the improved active set algorithm. This method takes the effect of the filtering section optimization on the parameter improvement into account, and the optimized model focuses on the minimum residu...
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This work suggests a coordinated control of Multi band power system stabilizer (MBPSS) and type 2 fuzzy logic control (T2FLC) lead lag Static synchronous series compensator (SSSC) for power system stability enhancement. Initially hybrid AVOA-PS optimized design of coordinated control of PSS and T2FLC lead lag SSSC controller is compared for best pe...
Citations
... In reference [23], a customized differential evolution algorithm is employed to design probabilisticallyrobust wide-area power system stabilizers (WPSSs) for damping the low-frequency oscillations in power systems with wind power. In reference [24], an improved active set algorithm is presented to tune the double input power system stabilizers based on phase-frequency characteristics. In reference [25], the switching power system stabilizer (SPSS) is employed to improve the stability of multi-machine power systems. ...
In the marine electric power system, the marine generators will be disturbed by the large change of loads or the fault of the power system. The marine generators usually installed power system stabilizers to damp power system oscillations through the excitation control. This paper proposes a novel method to obtain optimal parameter values for Power System Stabilizer (PSS) to suppress low-frequency oscillations in the marine electric power system. In this paper, a newly developed immune clone selection algorithm was improved from the three aspects of the adaptive incentive degree, vaccination, and adaptive mutation strategies. Firstly, the typical PSS implementation type of leader-lag structure was adopted and the objective function was set in the optimization process. The performance of PSS tuned by improved immune clone selection algorithm was compared with PSS tuned by basic immune clone selection algorithm (ICSA) under various operating conditions and disturbances. Then, an improved immune clone selection algorithm (IICSA) optimization technique was implemented on two test systems for test purposes. Based on the simulations, it is found that an improved immune clone selection algorithm demonstrates superiority over the basic immune clone selection algorithm in getting a smaller number of iterations and fast convergence rates to achieve the optimal parameters of the power system stabilizers. Moreover, the proposed approach improves the stability and dynamic performance under various loads conditions and disturbances of the marine electric power system.
... In order to give full play of PSS, scholars studied the damping effect through the parameter optimization [10,11] and the model improvement [12][13][14]. Some researches obtained better PSS parameters via algorithm improvement [15], while some others converted the parameter solution issue into the multiobjective optimization problem [16]. For the multimachine systems, more consideration is given to the robustness improvement [17][18][19], while the effectiveness of PSS parameters is not considered comprehensively at the meantime. ...
... As presented in Reference [15], the objective function of the phase-frequency optimization is to make the angle between M and − ΔP zero. e detailed objective function and the constraining conditions can be written as ...
In this paper, we proposed the comprehensive damping effect method to optimize the PSS parameters. Different from other studies, the optimization in this paper is based on both the amplitude-frequency and the phase-frequency properties, while other studies mainly focus on the phase-frequency characteristics. The actual grid data in Northern China are employed to verify the optimization effect in the multimachine system. The proposed method is compared with the engineering method, the existing optimization method, and the commercial software. The comparison shows that the PSS parameters obtained by the proposed method in this paper are superior to those obtained by the engineering experience, the phase-frequency optimization method, and the commercial software. In the cases of different phase-frequency range requirements, the wider the phase-frequency range is, the better the damping effect of the obtained parameters will be.
