Makara Journal of Technology · 2018 · 17 citations · 13 references
EngineeringComputational EngineeringDesign OptimizationEnergy SystemsOptimizationController TuningEvolutionary ComputationPower System DesignPower System StabilityPower SystemsSynchronous MachinesCuckoo SearchDamper WindingsOvershootPower System StabilizationSettling TimeSmall-signal StabilityStability EnhancementTuning
Small signal stability is one of the main factors of limiting power transmission in a conventional power system. This stability concern is primarily handled by adding damper windings of synchronous generator and power system stabilizer (PSS). However, due to N-1 contingency impact, damper windings and conventional PSS are not enough to overcome this problem. Proper placement and design of PSS are crucial to improve its contribution to stability. One approach to optimize the placement and tuning of PSS is using artificial intelligent method. In this paper, Cuckoo search algorithm (CSA) is proposed to solve the optimization of PSS tuning and placement. From the simulation result, it is found that PSS based on CSA can enhance the small signal stability of the system. The critical, local and inter-area modes of the investigated system improve significantly. The oscillatory condition is more damp indicated by small overshoot and faster settling time. It is also found that CSA can be a method to tune PSS parameter under N-1 contingency.
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Thuan Thanh Nguyen, Trương Việt Anh · International Journal of Electrical Power & Energy Systems · 2015 · 265 citations
Engineering, Computer Engineering, Electrical Engineering +17
Xianchao Sui, Yufei Tang, Haibo He et al. · IEEE Transactions on Power Systems · 2014 · 176 citations · Full text
Engineering, Computational Engineering, Design Optimization +16