Design of SCADA water resource management control center by a bi-objective redundancy allocation problem and particle swarm optimization

SCADA11Supervisory Control And Data Acquisition: SCADA. is an essential system to control critical facilities in big cities. SCADA is utilized in several sectors such as water resource management, power plants, electricity distribution centers, traffic control centers, and gas deputy. The failure of...

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Vydáno v:Reliability engineering & system safety Ročník 133; s. 11 - 21
Hlavní autoři: Dolatshahi-Zand, Ali, Khalili-Damghani, Kaveh
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.01.2015
Elsevier
Témata:
Adaptive grid
Algorithms
Applied sciences
Computer science; control theory; systems
Control theory. Systems
Design engineering
Earth sciences
Earth, ocean, space
Exact sciences and technology
Hydrology. Hydrogeology
Meta-heuristics
Multi-objective particle swarm optimization
Multi-objective redundancy allocation problem
Operational research and scientific management
Operational research. Management science
Pareto optimality
Pollution
Process control. Computer integrated manufacturing
Redundancy
Reliability theory. Replacement problems
Resource management
SCADA
Supervisory control and data acquisition
Water resources
Water treatment and pollution
ε-Constraint method
Multi-objective particle swarm optimization
ε-Constraint method
Adaptive grid
SCADA
Multi-objective redundancy allocation problem
Meta-heuristics
Cost minimization
Critical system
Multicriteria analysis
Evolutionary algorithm
Water resource management
Multiobjective programming
Constraint satisfaction
Adaptive method
Data acquisition system
Budget
Swarm intelligence
Metamodel
Supervision
Mathematical programming
Constraint handling
Filtering
Maximization
Pareto optimum
Decision making
Redundancy
Process control
Remote operation
Rupture
Linear programming
Decision analysis
Failures
Particle swarm optimization
Crisis
Reactive system
Control center
Electrical network
SCADA systems
Heuristic method
Metric
Non linear effect
Reliability
ISSN:0951-8320, 1879-0836
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Shrnutí:SCADA11Supervisory Control And Data Acquisition: SCADA. is an essential system to control critical facilities in big cities. SCADA is utilized in several sectors such as water resource management, power plants, electricity distribution centers, traffic control centers, and gas deputy. The failure of SCADA results in crisis. Hence, the design of SCADA system in order to serve a high reliability considering limited budget and other constraints is essential. In this paper, a bi-objective redundancy allocation problem (RAP) is proposed to design Tehran׳s SCADA water resource management control center. Reliability maximization and cost minimization are concurrently considered. Since the proposed RAP is a non-linear multi-objective mathematical programming so the exact methods cannot efficiently handle it. A multi-objective particle swarm optimization (MOPSO) algorithm is designed to solve it. Several features such as dynamic parameter tuning, efficient constraint handling and Pareto gridding are inserted in proposed MOPSO. The results of proposed MOPSO are compared with an efficient ε-constraint method. Several non-dominated designs of SCADA system are generated using both methods. Comparison metrics based on accuracy and diversity of Pareto front are calculated for both methods. The proposed MOPSO algorithm reports better performance. Finally, in order to choose the practical design, the TOPSIS algorithm is used to prune the Pareto front. •Multi-objective redundancy allocation problem (MORAP) is proposed to design SCADA system.•Multi-objective particle swarm optimization (MOPSO) is proposed to solve MORAP.•Efficient epsilon-constraint method is adapted to solve MORAP.•Non-dominated solutions are generated on Pareto front of MORAP by both methods.•Several multi-objective metrics are calculated to compare the performance of methods.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2014.07.020