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Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme
Demand response (DR) is known as a key solution in modern power systems and electricity markets for mitigating wind power uncertainties. However, effective incorporation of DR into power system operation scheduling needs ...
Stochastic demand side management in European zonal price market
(Institute of Electrical and Electronics Engineers (IEEE), 2019-09-26)
In this paper, demand-side management (DSM) is performed through demand response aggregators (DRAs) in an uncertain environment within zonal price market framework. The proposed scheme aims to allow cross-border electricity ...
Self-scheduling approach to coordinating wind power producers with energy storage and demand response
The uncertainty of wind energy makes wind power producers (WPPs) incur profit loss due to balancing costs in electricity markets, a phenomenon that restricts their participation in markets. This paper proposes a stochastic ...
Integration of emerging resources in IGDT-based robust scheduling of combined power and natural gas systems considering flexible ramping products
Wind energy sources have created new challenges in power system scheduling to follow the network load. Gas fired units with high ramping could better deal with inherent uncertainties of wind power compared to other power ...
Distributed energy resource and network expansion planning of a CCHP based active microgrid considering demand response programs
This paper addresses the network expansion planning of an active microgrid that utilizes Distributed Energy Resources (DERs). The microgrid uses Combined Cooling, Heating and Power (CCHP) systems with their heating and ...
Application of opportunistic information-gap decision theory on demand response aggregator in the day-ahead electricity market
The proposed model analyzes the profit of a demand response (DR) aggregator from trading DR in the day-ahead electricity market in a way that it tends to gain profit from the favorable deviations of the uncertain parameters. ...
Power system flexibility improvement with a focus on demand response and wind power variability
Unpredictable system component contingencies have imposed vulnerability on power systems, which are under high renewables penetration nowadays. Intermittent nature of renewable energy sources has made this unpredictability ...
Demand response method for smart microgrids considering high renewable energies penetration
One of the most important reasons of smart grids (SGs) is renewable energies (REs) increase and demand response (DR). Present methods are not practical in the case of high REs presence in SGs and should be revised. The ...