Optimal power quality monitor placement in power systems using an adaptive quantum-inspired binary gravitational search algorithm

•An adaptive QBGSA search algorithm to solve the optimal PQ monitor placement is proposed.•The topological monitor reach area is introduced to generalize the PQ monitor placement method.•A multi-objective function is created to deal with the monitor overlapping and sag severity.•Adaptive QBGSA gives...

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Vydané v:International journal of electrical power & energy systems Ročník 57; s. 404 - 413
Hlavní autori: Ibrahim, Ahmad Asrul, Mohamed, Azah, Shareef, Hussain
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.05.2014
Elsevier
Predmet:
Adaptive algorithms
Adaptive systems
Algorithms
Applied sciences
Artificial immune system
Binary systems
Disturbances. Regulation. Protection
Electric power generation
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Miscellaneous
Monitors
Operation. Load control. Reliability
Optimization
Power electronics, power supplies
Power networks and lines
Power quality monitor
Quantum-inspired binary gravitational search algorithm
Search algorithms
Topological monitor reach area
Voltage sag assessment
Power quality monitor
Quantum-inspired binary gravitational search algorithm
Artificial immune system
Voltage sag assessment
Topological monitor reach area
Performance evaluation
Positioning
Adaptive system
Multiobjective programming
Power system stability
Flexibility
Adaptive method
Convergence speed
Voltage stability
Convergence rate
Energy quality
Voltage dip
Observability
Distribution network
Electric fault
Power electronics
Particle swarm optimization
Standards
Search algorithm
Electrical network
Genetic algorithm
Objective function
Service quality
Comparative study
ISSN:0142-0615, 1879-3517
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Shrnutí:•An adaptive QBGSA search algorithm to solve the optimal PQ monitor placement is proposed.•The topological monitor reach area is introduced to generalize the PQ monitor placement method.•A multi-objective function is created to deal with the monitor overlapping and sag severity.•Adaptive QBGSA gives the best optimal PQM placement results. This paper presents a novel adaptive quantum-inspired binary gravitational search algorithm (QBGSA) to solve the optimal power quality monitor (PQM) placement problem in power systems. In this algorithm, the standard binary gravitational search algorithm is modified by applying the concepts and principles of quantum behavior to improve the search capability with a fast convergence rate. QBGSA is integrated with an artificial immune system, which acts as an adaptive element to improve the flexibility of the algorithm toward economic capability while maintaining the quality of the solution and speed. The optimization involves multi-objective functions and handles the observability constraints determined by the concept of the topological monitor reach area. The objective functions are based on the number of required PQM, monitor overlapping index, and sag severity index. The proposed adaptive QBGSA is applied on several test systems, which include both transmission and distribution systems. To evaluate the effectiveness of the proposed adaptive QBGSA method, its performance is compared with that of the conventional binary gravitational search algorithm, binary particle swarm optimization, quantum-inspired binary particle swarm optimization, and genetic algorithm.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2013.12.019