Abstract
Due to strong volatility and intermittent characteristics, the fluctuations of the photovoltaic (PV) output is inevitable which cause negative impacts on power system operation. However, such an issue can be resolved in a combined cascade hydro-PV-pumped storage (CH-PV-PS) generation system through an appropriate control. Based on the optimal base power of variable-speed pumped storage station (VSPSS), a smoothing method of fuzzy complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) is proposed in this paper. To prevent smoothing insufficient and excessive, the fuzzy CEEMDAN algorithm is used to obtain the target power of the photovoltaic-pumped storage (PV-PS) generation system and the control signal of cascade hydro stations (CHSs) for eliminating large amplitude fluctuations of the PV output. Furthermore, in order to overcome the drawback that too frequent conversion of unit operating mode would reduce the service life and smoothing effect of the VSPSS unit, the optimization model of the base power of the VSPSS is established and solved by the grid adaptive direct search method (MADS) to obtain the control signal of the VSPSS for suppressing the short-term fluctuations of the PV output. Finally, the performance of the method is evaluated through using the PV station data in Xiaojin County, Sichuan province, China. The simulation results reveal that compared with the fixed base power smoothing method, this method can effectively suppress the PV power fluctuations and improve the smoothing effect and energy efficiency.
Highlights
In order to build a sustainable energy system, solar energy as a low-carbon and friendly renewable energy form has attracted worldwide attention
This paper proposes that the volatility of PV power after reconstruction can be taken as a constraint and the order K which can be adjusted adaptively by the fuzzy control algorithm to achieve better smoothing effect [19]
EXPERIMENTS AND RESULTS The simulation platform of CH-photovoltaic-pumped storage (PV-PS) generation system in the section II is built to verify the effectiveness and rationality of the PV power fluctuations smoothing method proposed in this paper
Summary
In order to build a sustainable energy system, solar energy as a low-carbon and friendly renewable energy form has attracted worldwide attention. In [15], a control method based on net load of the system is presented for the pumped storage power station of the wind-PV-pumped storage complementary generation system to reduce the impact of renewable energy instability on the power grid stable operation. To solve the problem mentioned above, the optimal base power of the VSPSS is introduced and obtained by the MADS algorithm, around which the control signal of the VSPSS for suppressing the short-term rapid fluctuations of PV output is set to avoid frequent changes of the VSPSS operation mode. The optimization model of the base power is solved by using MADS algorithm, in order to adaptively adjust the base power which can improve the smooth effect and reduce the energy waste.
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