Multiobjective quantum-inspired evolutionary programming for optimal load shedding

This paper present new technique namely Quantum-Inspired Evolutionary Programming (QIEP) to determine the optimal location and optimal amount of load to be shed for undervoltage load shedding schemes. This approach is based on the concept of quantum mechanics in the Evolutionary Programming (EP). Qu...

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Veröffentlicht in:2012 IEEE Control and System Graduate Research Colloquium S. 160 - 165
Hauptverfasser: Yasin, Zuhaila Mat, Rahman, Titik Khawa Abdul, Zakaria, Zuhaina
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.07.2012
Schlagworte:
Evolutionary computation
Interrupters
Linear programming
Multiobjective Optimisation
Optimal Load Shedding
Optimization
Power system stability
Programming
Quantum computing
Quantum-Inspired Evolutionary Programming
ISBN:1467320358, 9781467320351
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Zusammenfassung:This paper present new technique namely Quantum-Inspired Evolutionary Programming (QIEP) to determine the optimal location and optimal amount of load to be shed for undervoltage load shedding schemes. This approach is based on the concept of quantum mechanics in the Evolutionary Programming (EP). Quantum-Inspired is implemented according to three levels defined by quantum individuals, quantum groups and quantum universe in order to improve the speed of the algorithm. The QIEP is employed to search for the best location and amount of load to be shed based on multiobjective functions which are power loss minimisation, voltage profile improvement and power interruption cost minimisation. The effectiveness of multiobjective QIEP optimisation technique is illustrated in IEEE 33-bus distribution test system, IEEE 69-bus distribution test system and 141-bus distribution system. The results were also compared with other techniques in terms of fitness values and computation time.
ISBN:1467320358
9781467320351
DOI:10.1109/ICSGRC.2012.6287154