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- W2114360596 abstract "This thesis discusses the optimal location of Flexible Alternating Current Transmission Systems devices in electric power transmission networks with a particular focus on the location of Phase Angle Regulating transformers. Throughout this document two different models to optimally locate the devices are proposed in order to be able to perform the optimizations in both systems with purely conventional generation and with mixed conventional and wind generation. A formulation based on stochastic programming is adopted in order to ensure the optimal location of FACTS when dealing with uncertain wind scenarios. Two distinct heuristic methods are evaluated for this specific problem, the Evolutionary Particle Swarm Optimization, EPSO, and a new method called Differential Evolutionary Particle Swarm Optimization, DEEPSO. The DEEPSO algorithm is presented as a new hybrid between EPSO and Differential Evolution. A comparison between the performance of EPSO and DEEPSO is made, where DEEPSO shows consistent superiority over the classical EPSO in the optimal Phase Angle Regulating location problem. Results are presented for a realistic power network, IEEE 24-bus Reliability Test System, where a multiple load and wind scenarios approach is considered in order to validate the proposed models. These results show that the models have been correctly developed. The Phase Angle Regulating transformers have been properly placed in the simulations carried out, presenting as an important contribution in reducing both load and wind generation curtailments, while minimizing investment costs." @default.
- W2114360596 created "2016-06-24" @default.
- W2114360596 creator A5038786602 @default.
- W2114360596 date "2013-07-17" @default.
- W2114360596 modified "2023-09-23" @default.
- W2114360596 title "Stochastic Location of FACTS Devices in Electric Power Transmission Networks" @default.
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