Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective
Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …
Electric power industry: Operational and public policy challenges and opportunities
The electric power industry is undergoing dramatic change driven by rapid technological
transformation, concern over climate change, and evolving market structures. As a result …
transformation, concern over climate change, and evolving market structures. As a result …
Optimal offering and bidding strategies of renewable energy based large consumer using a novel hybrid robust-stochastic approach
O Abedinia, M Zareinejad, MH Doranehgard… - Journal of cleaner …, 2019 - Elsevier
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 …
Forecasting energy consumption and wind power generation using deep echo state network
Accurate energy forecasting is of great significance for the energy sector to formulate short-
term plans and long-term development strategies for meeting energy needs. This study …
term plans and long-term development strategies for meeting energy needs. This study …
A data-driven model of virtual power plants in day-ahead unit commitment
Due to the increasing penetration of distributed energy resources (DERs), power system
operators face significant challenges of ensuring the effective integration of DERs. The …
operators face significant challenges of ensuring the effective integration of DERs. The …
A robust optimization approach to energy and reserve dispatch in electricity markets
To a large extent, electricity markets worldwide still rely on deterministic procedures for
clearing energy and reserve auctions. However, increasing shares of the production mix …
clearing energy and reserve auctions. However, increasing shares of the production mix …
The design of a risk-hedging tool for virtual power plants via robust optimization approach
This paper presents a robust optimization-based decision-making tool for the daily and
weekly self-scheduling of Virtual Power Plants (VPPs) in the uncertain environment of …
weekly self-scheduling of Virtual Power Plants (VPPs) in the uncertain environment of …
Robust expansion planning of a distribution system with electric vehicles, storage and renewable units
The decarbonization of energy systems passes through the transition towards low-and zero-
emission vehicles and the investments in efficient technologies. To this end, an adaptive …
emission vehicles and the investments in efficient technologies. To this end, an adaptive …
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 …
The impact of virtual power plant technology composition on wholesale electricity prices: A comparative study of some European Union electricity markets
B Moreno, G Díaz - Renewable and Sustainable Energy Reviews, 2019 - Elsevier
Abstract Virtual Power Plant combines a wide variety of distributed generation resources
and operates them as a unified resource on the energy markets. It gives an economic …
and operates them as a unified resource on the energy markets. It gives an economic …