Design and analysis of a multi‐stage axial turbine for gasified coal‐water power system

Author(s):  
Min Zhang ◽  
Yan Liu ◽  
Jinguang Yang ◽  
Xiaowu Jiang ◽  
Wenyang Shao ◽  
...  
2015 ◽  
Vol 2015 (18) ◽  
pp. 195-208
Author(s):  
Kathleen Ave ◽  
Lorraine White ◽  
Rob Swartz ◽  
Amy Talbot

2014 ◽  
Vol 126 (3-4) ◽  
pp. 351-364 ◽  
Author(s):  
Silvio J. Pereira-Cardenal ◽  
Henrik Madsen ◽  
Karsten Arnbjerg-Nielsen ◽  
Niels Riegels ◽  
Roar Jensen ◽  
...  

Author(s):  
Mkhululi Elvis Siyanda Mnguni ◽  
Yohan Darcy Mfoumboulou

The integration of load shedding schemes with mainstream protection in power system networks is vital. The traditional power system network incorporates different protection schemes to protect its components. Once the power network reaches its maximum limits, and the load demand continue to increase the whole system will experience power system instability. The system frequency usually drops due to the loss of substantial generation creating imbalance. The best method to recover the system from instability is by introducing an under-frequency load shedding (UFLS) scheme in parallel with the protection schemes. This paper proposed a new UFLS scheme used in power systems and industry to maintain stability. Three case studies were implemented in this paper. Multi-stage decision-making algorithms load shedding in the environment of the DIgSILENT power factory platform is developed. The proposed algorithm speeds-up the operation of the UFLS scheme. The load shedding algorithm of the proposed scheme is implemented as a systematic process to achieve stability of the power network which is exposed to different operating conditions. The flexibility of the proposed scheme is validated with the modified IEEE 39-bus New England model. The application of the proposed novel UFLS schemes will contribute further to the development of new types of engineers.


2015 ◽  
Vol 9 (1) ◽  
pp. 524-529
Author(s):  
Cao Zhe ◽  
Sun Xiangwen ◽  
Niu Xinwen

This paper pointed out the disadvantage of harmonic frequency estimation algorithm in current power system, presented the MUSIC (multiple signal classification)-based harmonic frequency estimation algorithm in power system, and analyzed the computational complexity of the MUSIC algorithm. In order to reduce the computational complexity of conventional MUSIC algorithm and to increase the real-time characteristic of harmonic frequency estimation algorithm, we combined the multi-stage wiener filter (MSWF) recursive algorithm and MUSIC algorithm so as to avoid the subspace decomposition process of the conventional MUSIC algorithm, thus realizing the purpose of significantly reducing the computational complexity of the MUSIC algorithm. Through theoretical analysis and simulation experiments, we find that the algorithm proposed in this paper is of excellent resolution characteristic, and less dependent on data volume.


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