Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …
the national system operator, who controls the level of the reservoirs based on a stochastic …
Unit commitment problem for transmission system, models and approaches: A review
The realistic power systems include several types of controllers in transmission lines,
different types of energy storage systems (ESSs), and integration of various renewable …
different types of energy storage systems (ESSs), and integration of various renewable …
Peak shaving and short-term economic operation of hydro-wind-PV hybrid system considering the uncertainty of wind and PV power
K Lei, J Chang, X Wang, A Guo, Y Wang, C Ren - Renewable Energy, 2023 - Elsevier
With uncertain wind and PV power integrated into the grid, the difficulty of peak shaving is
exacerbated. Therefore, the peak shaving operation of hydropower has become one of the …
exacerbated. Therefore, the peak shaving operation of hydropower has become one of the …
A Wasserstein metric-based distributionally robust optimization approach for reliable-economic equilibrium operation of hydro-wind-solar energy systems
Hydro-wind-solar integrated operation is a promising way to balance the growing amount of
variable renewable energy (RE) and enhance energy utilization efficiency. This study …
variable renewable energy (RE) and enhance energy utilization efficiency. This study …
Wasserstein metric-based two-stage distributionally robust optimization model for optimal daily peak shaving dispatch of cascade hydroplants under renewable …
The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …
Electricity price forecasting based on self-adaptive decomposition and heterogeneous ensemble learning
Electricity price forecasting plays a vital role in the financial markets. This paper proposes a
self-adaptive, decomposed, heterogeneous, and ensemble learning model for short-term …
self-adaptive, decomposed, heterogeneous, and ensemble learning model for short-term …
The capacity planning method for a hydro-wind-PV-battery complementary system considering the characteristics of multi-energy integration into power grid
Y Tian, J Chang, Y Wang, X Wang, X Meng… - Journal of Cleaner …, 2024 - Elsevier
The hydro-wind-PV-battery complementary operation has the potential to increase the
integration of renewable energy sources into power grid. Nevertheless, the determination of …
integration of renewable energy sources into power grid. Nevertheless, the determination of …
Optimal scheduling of cascade hydropower plants in a portfolio electricity market considering the dynamic water delay
W Yuan, S Zhang, C Su, Y Wu, D Yan, Z Wu - Energy, 2022 - Elsevier
With the reform of China's electricity market, the cascade hydropower plants' participation in
the portfolio electricity market is an effective way to improve power generation profits and …
the portfolio electricity market is an effective way to improve power generation profits and …
Optimization Formulations for Storage Devices with Disjoint Operating Modes
We consider a storage device, such as a pumped storage hydroelectric generator, that has a
state of charge together with mutually exclusive and disjoint charging and generating …
state of charge together with mutually exclusive and disjoint charging and generating …
[HTML][HTML] Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology
Management strategies of complex energy systems composed by different technologies is
mandatory to exploit optimally the characteristics of each power generator, to reduce the …
mandatory to exploit optimally the characteristics of each power generator, to reduce the …