Abstract
A Population Intelligent (PI) methodology calledParticle Swarm Optimization has recently been applied to powersystem networks with the view to minimize the computationalburden of Monte Carlo Simulation in the reliability domain. Thispaper presents a novel Multi Objective Particle Swarmoptimization (MOPSO) methodology which adapts traditionalbinary PSO to multi objective PSO and intelligently prunes thestate space by using the thermal capacity of transmission linesderived from the more detailed modelling of OHLs. For theimplementation of the algorithm, deterministic metrics are usedto evaluate the loading of the lines with the view to furtherenhance the efficiency of the proposed method. The IEEE 24-busRTS is used under different case studies to validate that thefiltering based methodology achieves computational effectivenessas well as improves network performance indices.
Original language | English |
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Title of host publication | 18th Power Systems Computation Conference (PSCC) |
Place of Publication | IEEExplore |
Publisher | IEEE |
Publication status | Published - Aug 2014 |
Event | 18th Power Systems Computation Conference (PSCC) - Wroclaw, Poland Duration: 18 Aug 2014 → 22 Aug 2014 |
Conference
Conference | 18th Power Systems Computation Conference (PSCC) |
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City | Wroclaw, Poland |
Period | 18/08/14 → 22/08/14 |
Keywords
- adequacy; multi objective optimization technique; thermal rating; deterministic and probabilistic studies; network security