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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 ...
Co-optimization of transmission switching and variable reactance devices control under worst-case wind uncertainty
The work reported in this paper jointly addresses two major challenges in modern power systems: 1) systematically maximizing wind power generation (WPG) utilization under worst-case uncertainty and 2) employing mixed ...
Energy management strategy in dynamic distribution network reconfiguration considering renewable energy resources and storage
Penetration of renewable energy sources (RESs) and electrical energy storage (EES) systems in distribution systems is increasing, and it is crucial to investigate their impact on systems’ operation scheme, reliability, and ...
Flexible co-operation of TCSC and corrective topology control under wind uncertainty : an interval-based robust approach
This paper presents an AC optimal power flow (AC-OPF) model including flexible resources (FRs) to handle uncertain wind power generation (WPG). The FRs considered are thermal units with up/down re-dispatching capability, ...
An optimal approach for load-frequency control of islanded microgrids based on nonlinear model
Due to the increased environmental and economic challenges, in recent years, renewable based distribution generation has been developed. More penetrations from the side of consumers caused a new concept called microgrids ...
A regret-based stochastic bi-level framework for scheduling of DR aggregator under uncertainties
(Institute of Electrical and Electronics Engineers (IEEE), 2020-01-23)
A regret-based stochastic bi-level framework for optimal decision making of a demand response (DR) aggregator to purchase energy from short term electricity market and wind generation units is proposed. Based on this model, ...
An artificial neural network approach for revealing market competitors' behavior
(Institution of Engineering and Technology (IET), 2020-01-14)
For an electricity market player, obtaining a holistic viewpoint from the behavior of competitors is essential to determine its optimal bidding strategy. This paper proposes a novel approach for modeling and revealing the ...
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 ...
Optimal prosumer scheduling in transactive energy networks based on energy value signals
(Institute of Electrical and Electronics Engineers (IEEE), 2019-09-26)
We present a novel fully distributed strategy for joint scheduling of consumption and trading within transactive energy networks. The aim is maximizing social welfare, which itself is redefined and adapted for peer-to-peer ...
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 ...