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In this paper, we formulate a two-stage distributionally robust (DR) model for the optimal power flow (OPF) problem in the presence of uncertainties from wind power generation and load-based reserves. Assuming ambiguous distributions of the random variables, we minimize the costs of generation, reserves, and the worst-case expected value of the penalty cost of violating constraints. We consider a...
Installed wind power capacity keeps rapid increase, but wind power curtailment is becoming increasingly serious. Demand response is a good choice to promote the integration of wind power. This paper builds a two-stage unit commitment model incorporating demand response with the aim of promoting wind energy utilization. Firstly, a price determination model is proposed to find the optimal time-of-use...
This paper evaluates how different risk preferences of electricity producers alter the market-clearing outcomes. Toward this goal, we propose a stochastic equilibrium model for electricity markets with two settlements, i.e., day-ahead and balancing, in which a number of conventional and stochastic renewable (e.g., wind power) producers compete. We assume that all producers are price-taking and can...
This letter presents a robust optimization-based AC optimal power flow (RACOPF) model for power networks with uncertain wind power generation. Numerical results on three test systems with uncertain wind power show that the RACOPF outperforms the robust DC-OPF model in the literature.
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