Renewable Power System Optimization
portes grátis
Renewable Power System Optimization
Li, Yuanzheng; Chen, Jiajia
Springer Verlag, Singapore
02/2025
209
Dura
9789819781317
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Introduction for renewable power system optimization.- Distributionally Robust Unit Commitment with Enhanced Sisjointed Layered Ambiguity Set.- Downside Risk to Low-carbon Multi-energy System Optimization.- Multi-step Reconfiguration with Many-objective Reduction for Renewable Distribution System.- Credibility Theory Based Fuzzy Chance Constrained AC OPF for Renewable Power System.- Multi-energy Hub Optimization to Enhance Resilience of Renewable Agricultural Microgrid.- Continuous-time Optimization to Improve Demand Defense of Renewable Industrial Park.- Random Clustering and Dynamic Recognition Strategy for Energy Storage System Optimization.- Mobile Energy Storage System Optimization with Peer-to-peer for Resilience Improvement.
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Renewable power system;Multi-energy system ;Network reconfiguration;Optimal power flow ;Resilience enhancement;Uncertain optimization;Continuous optimization ;Demand power defense;Energy storage system;Distribution network ;Agricultural microgrid;Industrial park
Introduction for renewable power system optimization.- Distributionally Robust Unit Commitment with Enhanced Sisjointed Layered Ambiguity Set.- Downside Risk to Low-carbon Multi-energy System Optimization.- Multi-step Reconfiguration with Many-objective Reduction for Renewable Distribution System.- Credibility Theory Based Fuzzy Chance Constrained AC OPF for Renewable Power System.- Multi-energy Hub Optimization to Enhance Resilience of Renewable Agricultural Microgrid.- Continuous-time Optimization to Improve Demand Defense of Renewable Industrial Park.- Random Clustering and Dynamic Recognition Strategy for Energy Storage System Optimization.- Mobile Energy Storage System Optimization with Peer-to-peer for Resilience Improvement.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.