Abstract
Due to the volatility of natural resources, the power fluctuations of photovoltaic (PV) generation have serious negative impacts on the power quality. This paper reports a novel approach to resolve this problem in a combined cascade hydro-PV-pumped storage (CH-PV-PS) generation system through appropriate power distribution on a small time scale. According to the characteristics of power generation systems and multi-constraints, how to obtain the optimal smoothing effects with the small cost is a key challenge. For this purpose, wavelet packet decomposition is modified by constructing cost function and ideal power trajectory sequences to obtain a new adaptive power distribution method for the CH-PV-PS generation system considering the boundary conditions of the system in this paper. At the same time, to meet the real-time control requirements of actual systems, an additive function is presented to improve the optimization speed of the adaptive power distribution method. In the meantime, a fuzzy controller is designed to optimize the inevitable delay time of the power scheduling system, and the starting threshold is set to avoid the frequently mode conversion of pumped storage. Finally, the performance of the method is evaluated based on the PV station data in Xiaojin County, Sichuan Province, China. Simulation results based on Matlab-simulink indicate that the proposed method can effectively suppress PV power fluctuations and ensure normal operation of the CH-PV-PS generation system within the multiple constraints.
Highlights
With global warming and the depletion of fossil energy, renewable energies, including solar energy, wind energy, and hydro energy, have attracted great attention globally [1]
In [16,17], the application of a variable-speed pumped storage station (VSPSS) with full-size converter (FSC) was studied in stabilizing renewable energy, and the results showed that VSPSS had better smoothing effects when its capacity was adequate
The influence of cascade hydropower stations (CHSs) on the smoothing effects compared with the filtering algorithm (FA) [30] and the wavelet packet decomposition algorithm was assessed by four comparison experiments, which were respectively implemented on the system (WPDA) [26] to verify its superiority and feasibility
Summary
With global warming and the depletion of fossil energy, renewable energies, including solar energy, wind energy, and hydro energy, have attracted great attention globally [1]. CHSs power whose characteristics must meet the performance of CHSs. The main targets of this paper were to smooth the maximum power fluctuation range of a PV plant to less than 8%/min of its installed capacity and to meet the requirements of the CH-PV-PS generation system with multiple operation constraints. The main targets of this paper were to smooth the maximum power fluctuation range of a PV plant to less than 8%/min of its installed capacity and to meet the requirements of the CH-PV-PS generation system with multiple operation constraints For this purpose, we modified the wavelet packet decomposition to obtain a satisfactory smoothing control strategy of PV power fluctuation by reasonably distributing system output power. The smoothing control strategy based on the improved optimal wavelet packets basis method
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