Trends and challenges in the operation of pumped-storage hydropower plants
The increasing penetration of renewable energy sources (RESs) in the power system has
highlighted the benefits of being able to store energy in a more efficient manner, and the …
highlighted the benefits of being able to store energy in a more efficient manner, and the …
Risk constrained self-scheduling of hydro/wind units for short term electricity markets considering intermittency and uncertainty
In view of the intermittency and uncertainty associated with both the electricity production
sector of restructured power system and their competitive markets, it is necessary to develop …
sector of restructured power system and their competitive markets, it is necessary to develop …
A deep learning based hybrid framework for day-ahead electricity price forecasting
R Zhang, G Li, Z Ma - IEEE Access, 2020 - ieeexplore.ieee.org
With the deregulation of the electric energy industry, accurate electricity price forecasting
(EPF) is increasingly significant to market participants' bidding strategies and uncertainty risk …
(EPF) is increasingly significant to market participants' bidding strategies and uncertainty risk …
Competition, risk and learning in electricity markets: An agent-based simulation study
This paper studies the effects of learning and risk aversion on generation company (GenCo)
bidding behavior in an oligopolistic electricity market. To this end, a flexible agent-based …
bidding behavior in an oligopolistic electricity market. To this end, a flexible agent-based …
Coordination of hydro units with wind power generation using interval optimization
Y Liu, C Jiang, J Shen, J Hu - IEEE Transactions on Sustainable …, 2015 - ieeexplore.ieee.org
The coordination of wind power and hydro power is an effective way for generating
companies to enhance the ability of wind power dispatch and to avoid imbalance charges …
companies to enhance the ability of wind power dispatch and to avoid imbalance charges …
Energy portfolio optimization of data centers
Data centers have diverse options to procure electricity. However, the current literature on
exploiting these options is very fractured. Specifically, it is still not clear how utilizing one …
exploiting these options is very fractured. Specifically, it is still not clear how utilizing one …
Optimizing post-combustion CO2 capture in response to volatile electricity prices
Flexibly operating CO2 capture at power plants allows a temporary increase in electrical
output, which could help maintain grid reliability, meet peak demand, or improve profitability …
output, which could help maintain grid reliability, meet peak demand, or improve profitability …
[HTML][HTML] A model of correlated interval–probabilistic conditional value-at-risk and optimal dispatch with spatial correlation of multiple wind power generations
X Ran, J Zhang, W Zhu, K Liu, Y Liu - … Journal of Electrical Power & Energy …, 2024 - Elsevier
The correlated uncertain variables with the probability density function have been conducted
in previous studies. However, the probability density functions of random variables are not …
in previous studies. However, the probability density functions of random variables are not …
[書籍][B] Electrical power unit commitment: deterministic and two-stage stochastic programming models and algorithms
This volume in the SpringerBriefs in Energy series offers a systematic review of unit
commitment (UC) problems in electrical power generation. It updates texts written in the late …
commitment (UC) problems in electrical power generation. It updates texts written in the late …
Optimization-based bidding in day-ahead electricity auction markets: A review of models for power producers
We review some mathematical programming models that capture the optimal bidding
problem that power producers face in day-ahead electricity auction markets. The models …
problem that power producers face in day-ahead electricity auction markets. The models …