Long-Term Stochastic Co-Scheduling of Hydro–Wind–PV Systems Using Enhanced Evolutionary Multi-Objective Optimization

Sustainability, Год журнала: 2025, Номер 17(5), С. 2181 - 2181

Опубликована: Март 3, 2025

With the increasing presence of large-scale new energy sources, such as wind and photovoltaic (PV) systems, integrating traditional hydropower with PV power into a hydro–wind–PV complementary system in economic dispatch can effectively mitigate fluctuations. In this study, Markov chains Copula joint distribution function were adopted to quantize spatiotemporal relationships among hydro, PV, whereby runoff, wind, output scenarios generated simulate their uncertainties. A dual-objective optimization model is proposed for long-term co-scheduling (LHWP-CS) problem. To solve model, well-tailored evolutionary multi-objective method was developed, which combines multiple recombination operators two different dominance rules basic elite populations. The algorithm tested on three annual reservoirs large farms Hongshui River Basin. demonstrates superior performance, average improvements 2.90% 2.63% total generation, 1.23% 0.96% minimum expectation compared BORG NSGA-II, respectively. results also infer that number key parameter achieving tradeoff between economics risk.

Язык: Английский

Multi-scale flow-induced dynamic response in 710-MW Francis turbine: numerical investigation

International Journal of Mechanical Sciences, Год журнала: 2025, Номер unknown, С. 110345 - 110345

Опубликована: Май 1, 2025

Язык: Английский