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The deep penetration of wind and solar power is a critical component of the future power grid. However, the intermittency and stochasticity of these renewable resources bring significant challenges to the reliable and economic operation of power systems. Motivated by these challenges, we present a multistage adaptive robust optimization model for the unit commitment (UC) problem, which models the...
In this paper, a model is presented to solve the problem of combined heat and power (CHP) dispatch. The system under consideration consists of both thermal generators and wind turbines. The wind power is a random variable following the Beta distribution, which is mainly used for the short-term forecasting. In the proposed model, the probability of wind power is included in the constraint set. A computer...
This research examines optimal operation of microgrid systems. Microgrids are disaggregated from main transmission grid. Microgrids are able to integrate distributed renewable energy, take advantage of waste heat, provide higher power reliability, reduce electricity transmission loss, and decrease greenhouse gas emissions. The study considers solar power, wind power, biomass power, gas turbine, fuel...
In this paper we develop a model of combined heat and power (CHP) dispatch for the system consisting of both thermal generators and wind turbines. In this model, the probability of stochastic wind power is included in the constraint set. This approach avoids the probabilistic infeasibility caused by using the average of random variables. The effects of wind speed on the generated power are investigated...
In this paper we develop an emission mitigation model for the system consisting of both thermal generators and wind turbines. The wind power is a random variable and is assumed to follow the beta distributions. In this model, the probability of wind power is included in the constraint set. This approach may avoid the probabilistic infeasibility caused by improperly using the average of random variables...
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