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This paper presents a two-layered framework for managing multi-interval economic dispatch with both transmission and ramping constraints in electric energy systems with a large penetration of variable resources. The proposed model is aimed at ensuring that there is sufficient flexibility in the dispatch to manage large net load ramp events while observing the transmission constraints in the power...
The integration of large-scale wind power into power grid has greatly increased the uncertainty of the wind power output, which makes the traditional deterministic economic dispatch into a decision-making problem with uncertainty. In this paper, a new robust economic dispatch model based on Stackelberg game theory is proposed to keep the dispatch results reliable even under extreme scenarios. In the...
Robust optimization, as a powerful paradigm for optimization under uncertainty, has recently attracted increasing attention in power system operations. In particular, adaptive robust optimization models have been proposed for the day-ahead unit commitment as well as real-time economic dispatch problems in power systems with a high penetration level of renewable energy sources. In this paper, we review...
The increasing penetration of renewable generation poses a challenge to the power system operator's task of balancing demand with generation due to the increased inter-temporal variability and uncertainty from renewables. Recently major system operators have been testing approaches to managing inter-temporal ramping requirement. In this paper we propose a robust optimization based economic dispatch...
As more and more variable resources and demand response resources being integrated in the electric grid, the grid operation is experiencing increasing level of uncertainties. The decision making process under such environment becomes more challenging. This paper investigates the current risk management practices and proposes a risk management framework for the future grid operation. Under this framework,...
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