State-of-the-art techniques for modelling of uncertainties in active distribution network planning: A review
A Ehsan, Q Yang - Applied energy, 2019 - Elsevier
The intermittent generation of non-dispatchable renewable distributed generation, along
with the load variability, demand growth and electricity market prices impose operational …
with the load variability, demand growth and electricity market prices impose operational …
Stochastic optimization for unit commitment—A review
Optimization models have been widely used in the power industry to aid the decision-
making process of scheduling and dispatching electric power generation resources, a …
making process of scheduling and dispatching electric power generation resources, a …
Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy
R Yan, J Wang, S Huo, Y Qin, J Zhang, S Tang… - Energy, 2023 - Elsevier
A strong heat-power coupling limitation, uncontrollable renewable energy, and the grid's
limited adjustment capacity deteriorate the operational performance and increase the …
limited adjustment capacity deteriorate the operational performance and increase the …
Review of wind power scenario generation methods for optimal operation of renewable energy systems
J Li, J Zhou, B Chen - Applied Energy, 2020 - Elsevier
Scenario generation is an effective method for addressing uncertainties in stochastic
programming for energy systems with integrated wind power. To comprehensively …
programming for energy systems with integrated wind power. To comprehensively …
[HTML][HTML] A survey on bilevel optimization under uncertainty
Bilevel optimization is a very active field of applied mathematics. The main reason is that
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
bilevel optimization problems can serve as a powerful tool for modeling hierarchical …
Energy storage arbitrage under day-ahead and real-time price uncertainty
Electricity markets must match real-time supply and demand of electricity. With increasing
penetration of renewable resources, it is important that this balancing is done effectively …
penetration of renewable resources, it is important that this balancing is done effectively …
Hour-ahead optimization strategy for shared energy storage of renewable energy power stations to provide frequency regulation service
With the rapid growth of intermittent renewable energy sources, it is critical to ensure that
renewable power generators have the capability to perform primary frequency response …
renewable power generators have the capability to perform primary frequency response …
Integrating short term variations of the power system into integrated energy system models: A methodological review
It is anticipated that the decarbonisation of the entire energy system will require the
introduction of large shares of variable renewable electricity generation into the power …
introduction of large shares of variable renewable electricity generation into the power …
Stochastic optimal scheduling of distributed energy resources with renewables considering economic and environmental aspects
M Di Somma, G Graditi, E Heydarian-Forushani… - Renewable energy, 2018 - Elsevier
A distributed energy resource (DER) system is a multi-input and multi-output energy system
consisting of small-scale technologies, which provide electricity and thermal energy close to …
consisting of small-scale technologies, which provide electricity and thermal energy close to …
Distributed economic dispatch in microgrids based on cooperative reinforcement learning
Microgrids incorporated with distributed generation (DG) units and energy storage (ES)
devices are expected to play more and more important roles in the future power systems …
devices are expected to play more and more important roles in the future power systems …