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Power and energy system oscillation damping using multi-verse optimization
Power and energy system oscillation damping using multi-verse optimization
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Power and energy system oscillation damping using multi-verse optimization
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Power and energy system oscillation damping using multi-verse optimization
Power and energy system oscillation damping using multi-verse optimization

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Power and energy system oscillation damping using multi-verse optimization
Power and energy system oscillation damping using multi-verse optimization
Journal Article

Power and energy system oscillation damping using multi-verse optimization

2021
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Overview
Power system oscillations are the primary threat to the stability of a modern power system which is interconnected and operates near to their transient and steady-state stability limits. Power system stabilizer (PSS) is the traditional controller to damp such oscillations, and flexible AC transmission system (FACTS) devices are advised for the improved damping performance. This paper suggests a technique for controller parameters tuning of PSS and a shunt connected FACTS device to be operated in coordination. A static synchronous compensator (STATCOM) connected in a two-machine system is considered as a test power system for the system studies. A recent meta-heuristic algorithm, Multi-Verse optimizer (MVO) has been suggested and compared with the other state-of-the-art algorithms. Improvement in system damping has been achieved by minimizing the oscillating nature of the system states by framing the objective function as a function of damping ratio and location of poles of the system. The Phillips-Heffron model of the test system has been designed by considering the system dynamics. The coordinated system behavior under the perturbation in system parameters has been observed satisfactory with the tuned controller parameters obtained from the suggested algorithm.