Investigation of the control method and power quality of the gas hydrate power generation system

2016 ◽  
Vol 2016.54 (0) ◽  
pp. 131-132
Author(s):  
Daisuke MIKAWA ◽  
Shin'ya OBARA ◽  
Masahito KAWAI ◽  
Masamitsu TAKABATAKE
2012 ◽  
Vol 197 ◽  
pp. 196-209 ◽  
Author(s):  
Yüksel Oğuz ◽  
Seydi Vakkas Üstün ◽  
İsmail Yabanova ◽  
Mehmet Yumurtaci ◽  
İrfan Güney

2013 ◽  
Vol 760-762 ◽  
pp. 1139-1143
Author(s):  
Hong Wei Fang ◽  
Jia Jia Cheng ◽  
Qi Wei Yang ◽  
Jing Lian

A grid voltage vector oriented proportional resonant (PR) control strategy is applied to the grid current control of the float-type wave power generation system. Compared with the conventional double closed-loop proportional integral (PI) control method, the proposed multi-frequency PR control method can realize zero steady-state error in AC input signal in the stationary frame, without complex coordinate rotation transformation and decoupling control. The overall wave power generation system model is built with Matlab/Simulink to evaluate the performance of the PR control method. Simulation results have shown that the PR control can well improve the robustness and the power quality of the float-type wave energy conversion control system.


2019 ◽  
Vol 118 ◽  
pp. 02060
Author(s):  
Huanjin Pei ◽  
Su Guo ◽  
Yi He ◽  
Jiale Wang

Due to the fluctuation and randomness of renewable resources, such as solar irradiation resource and wind resource, independent renewable power plants are not easy to generate stable and reliable power. However, multi-energy complementary power generation with energy storage can improve the power quality of renewable energy generation and meet the requirements of grid-connected, so it will be the mainstream of renewable energy generation in the future. Capacity optimization of multi-energy complementary system is the basis and key to improve the power quality and reduce cost of renewable power generation. This paper describes the capacity optimization model of concentrated solar power-photovoltaic-wind (CSP-PV-Wind) combined power generation system. The optimization objectives are as follows: (1) the power is as close to the load as possible; (2) the low overall investment of the combined power supply; (3) the high annual total power generation revenue. The improved particle swarm optimization algorithm is used to optimize the capacity configuration of CSP-PV-Wind combined power generation system, and obtain the optimal dispatch strategy. The results show that, power quality of CSP-PV-Wind combined power generation system is obviously better than that of PV-wind combined power generation system, while Surplus of Power Supply Probability (SPSP) and Loss of Power Supply Probability (LPSP) are all below 15%. However the power generation cost is still a little higher. Therefore, the strategy of reducing the area of collector and increasing the storage tank capacity will be used to decrease the generation cost in the future.


2013 ◽  
Vol 385-386 ◽  
pp. 1122-1126
Author(s):  
Yue Hua Huang ◽  
Qian Cheng Li ◽  
Chen Chen ◽  
Na Peng ◽  
Zuo Dong Duan ◽  
...  

Due to the lack of fossil fuels, people are paying more and more attention to renewable energy. Wind energy is one of the important renewable energy. Unpredictability and volatility of the wind source make the output power unstable, so we need to control the active Power. This paper uses fuzzy control method, and the simulation results show that fuzzy control method mentioned in this paper is better than the conventional PI control for Wind power, the nonlinear system. Based on the analysis of pitch control theory and control process, we design fuzzy pitch controller and its model. We simulates gust wind speed imitates, wind turbine control and verifies the effects of the blur pitch control in a constant speed and constant frequency wind power generation system. According to the results of the simulation, we know the pitch controller of fuzzy logic has a better effect on the active control of the generator of the wind power generation system.


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