Abstract

Because wind power spillage is barely considered, the existing robust unit commitment cannot accurately analyze the impacts of wind power accommodation on on/off schedules and spinning reserve requirements of conventional generators and cannot consider the network security limits. In this regard, a novel double-level robust security-constrained unit commitment formulation with optimizable interval of uncertain wind power output is firstly proposed in this paper to obtain allowable interval solutions for wind power generation and provide the optimal schedules for conventional generators to cope with the uncertainty in wind power generation. The proposed double-level model is difficult to be solved because of the invalid dual transform in solution process caused by the coupling relation between the discrete and continuous variables. Therefore, a two-stage iterative solution method based on Benders Decomposition is also presented. The proposed double-level model is transformed into a single-level and two-stage robust interval unit commitment model by eliminating the coupling relation, and then this two-stage model can be solved by Benders Decomposition iteratively. Simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are conducted to verify the effectiveness and advantages of the proposed model and solution method.

Highlights

  • At present, the variability, limited predictability, and antipeaking regulation inherent in wind power have created significant challenge to power systems operation with high wind power penetration [1, 2]

  • Simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are conducted to verify the effectiveness and advantages of the proposed model and solution method

  • In order to accurately analyze the impacts of wind power accommodation on on/off schedules and spinning reserve requirements of conventional generators and consider the transmission capacity limits, this paper establishes a novel double-level robust security-constrained UC (SCUC) model with optimizable interval of uncertain wind power output to determine the optimal wind power accommodation interval by treating the boundaries of wind power prediction interval as the optimizable decision variables and not merely uncertain parameters

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Summary

Introduction

The variability, limited predictability, and antipeaking regulation inherent in wind power have created significant challenge to power systems operation with high wind power penetration [1, 2]. In the stochastic UC model, the uncertainty of wind power is represented by numerous scenarios of possible wind power output which are often required to ensure the quality of the UC solution. The limitation with stochastic UC is that the UC problem size and computational requirement increased with the number of scenarios. Another drawback of stochastic UC is that the scenario generation method usually creates all scenarios based on certain probabilistic distribution assumption without specifying what scenarios can represent the ramp events. The probabilistic distribution of the uncertainty parameters is difficult to be acquired in its real world applications

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