Abstract
The deep peak regulation of thermal units is an important measure for coping with significant wind power penetration. In this paper, based on interval optimization, a novel multi-objective unit commitment method is proposed considering the deep peak regulation of thermal units. In the proposed method, a thermal power cost model was developed to accurately determine the economic performance of three different peak regulation scenarios, particularly of the deep peak regulation scenario. The midpoint and width of the cost interval are simultaneously considered in the optimization process. The non-dominated sorting GA-II (NSGA-II) algorithm was incorporated into the model for a coordinated control of the midpoint and width of the obtained cost interval for further optimization. Considering that significant wind penetration results in greater nodal variations, the affine arithmetic was employed to solve nodal uncertainties, so that all system variations can be addressed. The method proposed in this paper was validated by a modified IEEE-39 bus system. The results showed that it serves as a useful tool for power dispatchers to obtain robust and economic solutions at different wind power prediction accuracies.
Highlights
IntroductionStochasticity, and anti-peak regulation of wind power, a significant wind penetration results in greater variations in the net load demand for thermal power
The global installed capacity of wind power is projected to exceed 2000 GW by 2030
An interval arithmetic-based unit commitment model was proposed for deep peak regulation-oriented unit commitment optimization
Summary
Stochasticity, and anti-peak regulation of wind power, a significant wind penetration results in greater variations in the net load demand for thermal power. This results in greater challenges for the operation of power systems, those with limited power regulation resources. It is impossible to handle the large variability brought by significant wind penetration when employing regular thermal power output regulation This will result in significant wind power curtailment. A full utilization of wind power requires a certain number of thermal generation units to operate below their minimum technical outputs In other words, these thermal units will be operated in the deep peak regulation stage. A significant output regulation results in greatly reduced operating efficiency for thermal units and and leads to the shortened service life of thermal units, incurring implicit costs
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