Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

SF Stefenon, MHDM Ribeiro, A Nied, KC Yow… - Electric Power Systems …, 2022 - Elsevier
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 …

Unit commitment problem for transmission system, models and approaches: A review

A Aharwar, R Naresh, V Sharma, V Kumar - Electric Power Systems …, 2023 - Elsevier
The realistic power systems include several types of controllers in transmission lines,
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 …

A Wasserstein metric-based distributionally robust optimization approach for reliable-economic equilibrium operation of hydro-wind-solar energy systems

X Jin, B Liu, S Liao, C Cheng, Z Yan - Renewable Energy, 2022 - Elsevier
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 …

Wasserstein metric-based two-stage distributionally robust optimization model for optimal daily peak shaving dispatch of cascade hydroplants under renewable …

X Jin, B Liu, S Liao, C Cheng, Y Zhang, Z Zhao, J Lu - Energy, 2022 - Elsevier
The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …

Electricity price forecasting based on self-adaptive decomposition and heterogeneous ensemble learning

MHDM Ribeiro, SF Stefenon, JD de Lima, A Nied… - Energies, 2020 - mdpi.com
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 …

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 …

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 …

Optimization Formulations for Storage Devices with Disjoint Operating Modes

R Baldick, Y Chen, B Huang - Operations Research, 2023 - pubsonline.informs.org
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 …

[HTML][HTML] Unit commitment optimization of a micro-grid with a MILP algorithm: Role of the emissions, bio-fuels and power generation technology

FF Nicolosi, JC Alberizzi, C Caligiuri, M Renzi - Energy Reports, 2021 - Elsevier
Management strategies of complex energy systems composed by different technologies is
mandatory to exploit optimally the characteristics of each power generator, to reduce the …