Application of information gap decision theory in practical energy problems: A comprehensive review
The uncertainty quantification and risk modeling are hot topics in operation and planning of
energy systems. The system operators and planners are decision makers that need to …
energy systems. The system operators and planners are decision makers that need to …
[HTML][HTML] Survey of optimization models for power system operation and expansion planning with demand response
VN Motta, MF Anjos, M Gendreau - European Journal of Operational …, 2024 - Elsevier
With the implementation of demand response programs and its increasing penetration in the
power grid, various new challenges to the grid's operation have emerged. As a …
power grid, various new challenges to the grid's operation have emerged. As a …
Coordinated wind-thermal-energy storage offering strategy in energy and spinning reserve markets using a multi-stage model
H Khaloie, A Abdollahi, M Shafie-Khah… - Applied Energy, 2020 - Elsevier
Renewable energy resources such as wind, either individually or integrated with other
resources, are widely considered in different power system studies, especially self …
resources, are widely considered in different power system studies, especially self …
Information gap decision theory with risk aversion strategy for robust planning of hybrid photovoltaic/wind/battery storage system in distribution networks considering …
In this paper, robust planning of hybrid photovoltaic/wind/battery storage (PV/WT/Battery)
system is performed in the distribution network to minimize power losses cost, purchasing …
system is performed in the distribution network to minimize power losses cost, purchasing …
Risk-based scheduling of an off-grid hybrid electricity/hydrogen/gas/refueling station powered by renewable energy
Making full use of renewable energy to supply clean energy for transportation sector can
effectively reduce environmental pollution and realize the sustainable development. A …
effectively reduce environmental pollution and realize the sustainable development. A …
Model predictive control for demand side management in buildings: A survey
Buildings are responsible for a large portion of the world's energy consumption. Any
measure that can be taken to optimize the use of energy related to them must be considered …
measure that can be taken to optimize the use of energy related to them must be considered …
The role of energy storage and demand response as energy democracy policies in the energy productivity of hybrid hub system considering social inconvenience cost
Energy liberation policies are very effective in the development of energy democracy in
society. The Demand Response Programs (DRPs) and Electrical Energy Storages (EESs) …
society. The Demand Response Programs (DRPs) and Electrical Energy Storages (EESs) …
Optimal bidding strategy of DER aggregator considering dual uncertainty via information gap decision theory
Distributed energy resources especially wind and photovoltaic power, and demand
response are highly valued in recent years for their advantages in environmental protection …
response are highly valued in recent years for their advantages in environmental protection …
Uncertainty-based electricity procurement by retailer using robust optimization approach in the presence of demand response exchange
In this paper, robust optimization approach is proposed to handle market price uncertainty in
which the upper deviation from forecasted value of pool price will be considered for risk …
which the upper deviation from forecasted value of pool price will be considered for risk …
A new approach for optimal allocation of photovoltaic and wind clean energy resources in distribution networks with reconfiguration considering uncertainty based on …
In this paper, a new approach for the optimal and simultaneous allocation of clean and
renewable energy resources as photovoltaic panels and wind turbines and reconfiguration …
renewable energy resources as photovoltaic panels and wind turbines and reconfiguration …