power to hydrogen is a promising method to consume surplus renewable energy existing in the world. However, due to bottlenecks in hydrogen storage and transportation, converting hydrogen into ammonia which is a kind o...
详细信息
ISBN:
(数字)9781728155081
ISBN:
(纸本)9781728155098
power to hydrogen is a promising method to consume surplus renewable energy existing in the world. However, due to bottlenecks in hydrogen storage and transportation, converting hydrogen into ammonia which is a kind of hydrogen carrier with satisfied quality in storage and transportation is considered. Industrial ammonia synthesis reactors always work in constant conditions with constant flow rate of the feed gas, while hydrogen output of electrolyzers may vary sharply across renewable energy, thus hydrogen buffer tanks are required between electrolyzers and reactors to eliminate the fluctuation to some extent. The capacity of the buffer needs to be optimized due to relatively expensive cost of tanks, and the optimal capacity of the buffer actually depends on the operation flexibility of the reactor which is rarely discussed in existing literatures. This paper studies operation flexibility of the reactor first and establishes operation model of ammonia synthesis system under variable working conditions, on this basis the capacity optimization model is proposed and verified by a P2A system. At last the operation performance and the economy of P2A system are discussed, and case studies show that about 24% of total investment cost can be reduced with the consideration of operation flexibility of the reactor.
Wind farms play an increasingly important role in frequency control of the power system, but the identical wind speed assumption is oversimplified for the actual wind speed distribution difference in large-scale wind ...
详细信息
Wind farms play an increasingly important role in frequency control of the power system, but the identical wind speed assumption is oversimplified for the actual wind speed distribution difference in large-scale wind farms. This paper proposes a method of designing optimal frequency control parameters for wind farms considering wind turbine grouping. Firstly, the influence of wind speed on the frequency control capability of the wind turbine is analyzed and the principle of wind turbine grouping is proposed. Then, the equivalent frequency response model of grouped wind turbines is derived based on the capacity weighted method, which significantly reduces the calculation burden. Finally, to maximize the frequency nadir of the power system, the optimal frequency control parameters of the grouped wind turbines are solved based on the particle swarm optimization algorithm. The simulation results verify the effectiveness of the proposed parameter optimization method, which effectively improves the frequency nadir of the system under the major power shortage disturbance.
With the construction of Global Energy Internet, Intelligent distribution network has more and more characteristics of multi scene, multi service and changeable measurement and control objects. In order to realize dat...
详细信息
Satellite cloud image data plays an important role in the ultra-short-term photovoltaic（PV） power forecasting. By calculating the cloud displacement vectors of two adjacent cloud images, it is possible to calculate ...
详细信息
Satellite cloud image data plays an important role in the ultra-short-term photovoltaic（PV） power forecasting. By calculating the cloud displacement vectors of two adjacent cloud images, it is possible to calculate the cloud cluster’s occlusion of the PV power plant for a period of time in the future, thereby forecasting the PV power. The satellite cloud image data provided by FY-4 A Satellite has large and unequal sampling time intervals, which brings difficulties to cloud displacement vector calculation. This paper proposes a method for calculating the displacement vector of the cloud edge block based on the cosine similarity and the adaptive adjustment of the matching spatial scale. The parameter equation is used to establish the relationship between the relative position of the cloud cluster and the PV plant over time, and to predict the future position. On this basis, this paper proposes an ultra-short-term forecasting method of PV power based on cloud displacement vector. The performance of the proposed model is verified through case analysis.
With the rapid development of ultra-high voltage (UHV) transmission technology in China, insulation diagnosis for powerequipment has been applied widely to improve the reliability of the giant power system. Partial d...
详细信息
Introduce the IoT platform technology based on SDN (Software Defined Network), cloud-based, flexible management and configuration of smart terminals, and support access to millions of terminal devices and smart operat...
详细信息
The curing formula is vital to the performance of epoxy resin impregnated paper (RIP) material. This work explored the effect of curing agents and accelerator contents on the thermal and electrical properties of RIP m...
详细信息
Distributed Energy Resources(DERs) will be an important part of the future power system under the spread of distributed renewable energy generation, electric vehicles, demand response and other technologies. Cyber-phy...
详细信息
Introduction of nanoparticles (NPs) in the solvent was treated an efficient route to enhance mass and heat transfer, therefore, it was a promising strategy to boost carbon dioxide (CO2) absorption and desorption, espe...
详细信息
Energy costs associated with the consumption of non-renewable energy sources have become an important issue in improving the international competitiveness of agriculture. Wind power, as a renewable energy source, can ...
详细信息
暂无评论