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

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2181 - 2181

Published: March 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.

Language: Английский

---

Scenario-driven distributionally robust optimization model for a rural virtual power plant considering flexible energy-carbon-green certificate trading

Applied Energy, Journal Year: 2024, Volume and Issue: 379, P. 124904 - 124904

Published: Nov. 22, 2024

Language: Английский

---

Hydro-wind-PV-storage complementary operation based on a multivariate 3D power generation database considering comprehensive utilization tasks of cascade hydropower stations in the river basin

Energy, Journal Year: 2025, Volume and Issue: 322, P. 135672 - 135672

Published: April 7, 2025

Language: Английский

---

Unlocking Hydropower Synergies: Multi-Objective Optimization Drawdown Operation of Cascade Reservoirs

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 123097 - 123097

Published: April 1, 2025

Language: Английский

---

Seasonal compound renewable energy droughts in the Unites States

Environmental Research Energy, Journal Year: 2025, Volume and Issue: 2(2), P. 025005 - 025005

Published: April 14, 2025

Abstract Variable renewable energy (VRE) droughts are periods of low electricity production due to natural variability in the weather and climate. These compound occur when two or more (typically wind solar) generation sources availability conditions at same time. Compound solar most commonly studied hourly daily timescale short-term nature markets battery storage capacity. However seasonal time scale allows for examination broader climate hydrologic patterns that influence a portfolio inform needs long-duration storage. In this study, we use newly developed dataset coincident characterize VRE which include wind, hydropower grid-relevant spatial scales across contiguous United States (US). Along with frequency, duration, magnitude, scale, specifically examine these composite analysis. Results historical period (1982–2019) indicate can last up 5 months frequently Fall. While not an established ‘climate stress’ consider reliability studies yet, demonstrate impact on resource adequacy study over Western US interconnection using nodal bulk power grid model. We further discuss how VREs sizing market incentives manage extreme events like heat waves cold snaps while considering conditions.

Language: Английский

---

Complementarity of Renewable Energy Resources (Solar, Wind and Hydraulic) in the São Francisco River Basin

Journal of Geographic Information System, Journal Year: 2024, Volume and Issue: 16(06), P. 367 - 396

Published: Jan. 1, 2024

Language: Английский

---