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The output of wind power and photovoltaic has the characteristics of randomness, volatility, and intermittency. Direct grid connection will lead to a lower power generation income of the power station, a greater volatility of grid connection of electric energy, and more wind and photovoltaic power discards, resulting in lower carbon emission reductions. The addition of pumped storage power plants effectively reduces the above impacts. Therefore, this paper studies the application scenario of wind photovoltaic and pumped storage combined power generation, establishes a multi-objective optimization model that comprehensively considers the three objectives of maximizing the economic benefits of the combined system, minimizing the system power fluctuation, and maximizing carbon emission reduction, and converts the multi-objective problem into a single objective problem for solution by normalization. In this paper, the gray wolf algorithm, which can realize the adaptive adjustment of local search and global search, is used to simulate and optimize the grid connected power of wind power, photovoltaic, and pumped storage. The optimization results show that the established model can effectively improve the economic benefits of the system and greatly reduce the fluctuation of power grid connection. In addition, the efficient use of new energy also greatly improves the carbon emission reduction capacity of the joint system, which proves that the model has high feasibility.

A new method is proposed to solve the problem of finite-time synchronization transmission of signal in the current modulated semiconductor laser. Firstly, the characteristics of current modulated semiconductor laser are analyzed theoretically. Then, the unique sliding mode surface and sliding mode controller are designed to achieve the finite-time synchronization transmission of the target signal by using sliding mode control method. The results show that the technology can not only ensure that the current modulated semiconductor laser can complete the synchronization transmission of the target signal in a finite time, but also control the convergence speed of the sliding surface by simply adjusting the parameter in the sliding surface. In the meantime, the technology has no restrictions on the target signal.

The experiment was to investigate effect of adding complex plant essential oils (oregano essential oil, cinnamaldehyde, eucalyptus oil) to diet of broilers on growth performance, immune function and antioxidant capacity. A total of 120 one-day-old healthy broilers with similar body weight were selected and randomly divided into four groups, with three replicates in each group and 10 broilers in each replicate. The control group broilers were fed with basic diet, while low, medium and high dose groups were supplemented with 100, 200, and 300 mg/kg of composite plant essential oil in basic diet, respectively. Broilers were raised in three stages: 1~21, 22~42 and 43~60 d, the experiment lasted for 60 d. The results showed that ADG of broilers in medium and high dose groups was significantly higher than that in control group and low dose group on 1~21, 22~42 and 1~42 d (P<0.05), and F/G was significantly lower than other two groups (P<0.05). The ADFI of broilers in low, medium and high dose groups on 43~60 d was significantly higher than that of control group (P<0.05). Titer of newcastle disease antibody and content of serum IgG, IgA and lgM in medium and high dose groups of broilers were significantly higher than those in control group and low dose group (P<0.05). T-AOC and T-SOD in serum of broilers in low, medium and high dose groups were significantly higher than those in control group (P<0.05), and content of MDA was significantly lower than that in control group (P<0.05). The experiment indicates that adding complex plant essential oils to diet can improve growth performance, enhance immune function and antioxidant capacity of broilers with an appropriate dosage of 200 mg/kg. [ABSTRACT FROM AUTHOR]