How to deal with uncertainties in electric power systems? A review
In electric power systems, there exist many diverse uncertain parameters such as loads,
electricity price, wind power generation and photovoltaic power generation. In power system …
electricity price, wind power generation and photovoltaic power generation. In power system …
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 …
Optimal offering and bidding strategies of renewable energy based large consumer using a novel hybrid robust-stochastic approach
In the restructured power market, the participation of large consumer in the market is a
challenging issue due to their considerable load demand. To provide the required load of …
challenging issue due to their considerable load demand. To provide the required load of …
RETRACTED: Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory
HA Bagal, YN Soltanabad, M Dadjuo, K Wakil… - 2018 - Elsevier
The authors have plagiarized part of a paper that had already appeared in the IET
Generation, Transmission & Distribution 10 (2016) 107-114 http://dx. doi. org/10.1049/iet …
Generation, Transmission & Distribution 10 (2016) 107-114 http://dx. doi. org/10.1049/iet …
Medium-term energy hub management subject to electricity price and wind uncertainty
Energy hubs play an important role in implementing multi-carrier energy systems. More
studies are required in both their modeling and operating aspects. In this regard, this paper …
studies are required in both their modeling and operating aspects. In this regard, this paper …
Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of demand response program
In this paper, bilateral contracting and selling price determination problems for an electricity
retailer in the smart grid environment under uncertainties have been considered. Multiple …
retailer in the smart grid environment under uncertainties have been considered. Multiple …
Optimal real time pricing in an agent-based retail market using a comprehensive demand response model
In this paper, a weighted combination of different demand vs. price functions referred to as
Composite Demand Function (CDF) is introduced in order to represent the demand model of …
Composite Demand Function (CDF) is introduced in order to represent the demand model of …
Application of information-gap decision theory to risk-constrained self-scheduling of GenCos
In a competitive electricity market, a generation company (GenCo) optimizes its operation
schedules, referred to as self-scheduling, in order to maximize its profit. However, various …
schedules, referred to as self-scheduling, in order to maximize its profit. However, various …
Optimal bidding strategy of electricity retailers using robust optimisation approach considering time‐of‐use rate demand response programs under market price …
In restructured electricity markets, the electricity retailers try to obtain the consumers'
electricity demand at the minimum cost of different resources such as self‐generating …
electricity demand at the minimum cost of different resources such as self‐generating …
[HTML][HTML] A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systems
Introducing new technologies in co-generation and tri-generation systems has led to a rapid
growth toward the energy hubs (EHs) as an effective way for coupling among various energy …
growth toward the energy hubs (EHs) as an effective way for coupling among various energy …