scholarly journals Parameter Identification with the Random Perturbation Particle Swarm Optimization Method and Sensitivity Analysis of an Advanced Pressurized Water Reactor Nuclear Power Plant Model for Power Systems

Energies ◽  
2017 ◽  
Vol 10 (2) ◽  
pp. 173 ◽  
Author(s):  
Li Wang ◽  
Jie Zhao ◽  
Dichen Liu ◽  
Yi Lin ◽  
Yu Zhao ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Particle Swarm Optimization ◽  
Power Systems ◽  
Nuclear Power ◽  
Random Perturbation ◽  
Optimization Method ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Swarm Optimization ◽  
Plant Model

scholarly journals Improving Performance of a Resonant String-Based Pulsation Attenuator in Hydraulic Systems

2020 ◽  
Vol 10 (23) ◽  
pp. 8526
Author(s):  
Xia Shang ◽  
Hua Zhou ◽  
Huayong Yang
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Geometry Optimization ◽  
Optimization Method ◽  
Hydraulic Systems ◽  
Optimization Strategy ◽  
Swarm Optimization ◽  
Noise And Vibration ◽  
Speed Up ◽  
Fluid Power Systems

Hydraulic pulsation attenuators (HPA) are commonly used to suppress the noise and vibration in fluid power systems. However, most existing HPAs lack a reasonable optimization strategy and effective methods to improve the performance of HPAs. This paper proposes an adaptive particle swarm optimization (APSO) algorithm to speed up the geometry optimization process of a resonant string-based compound HPA (RSHPA), which was proposed in our previous work. Then, the study discusses the possibility of improving the performance of RSHPA by varying the configuration and location of the RSHPA. The experiment result validates the feasibility of the proposed optimization method for RSHPA.

Particle Swarm Optimization applied to the nuclear reload problem of a Pressurized Water Reactor

2009 ◽  
Vol 51 (2) ◽  
pp. 319-326 ◽  
Author(s):  
Anderson Alvarenga de Moura Meneses ◽  
Marcelo Dornellas Machado ◽  
Roberto Schirru
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Swarm Optimization ◽  
Water Reactor

Reactive Power Optimization Algorithm of Particle Swarm Optimization with Sensitivity Analysis

2013 ◽  
Vol 811 ◽  
pp. 666-671
Author(s):  
Yan Wen Liu ◽  
Ke Yin Jia ◽  
Hao Wang ◽  
Yan Hua Wang
Keyword(s):  
Sensitivity Analysis ◽  
Particle Swarm Optimization ◽  
Power Systems ◽  
Optimization Algorithm ◽  
Reactive Power ◽  
Power Optimization ◽  
Particle Swarm ◽  
Mathematic Model ◽  
Reactive Power Optimization ◽  
Swarm Optimization

Reactive power optimization is very important to power systems economic operation and nowadays, the research about it gets more and more popular. The paper presents a reactive power optimization algorithm of particle swarm optimization combined with sensitivity analysis. The paper first builds the mathematic model of reactive power optimization and introduces particle swarm optimization. Then, presents the sensitivity method in detail and talks about the process of computing the sensitivity. Finally, take the algorithm into practical application and the results proves that sensitivity analysis could improve the particle swarm optimization algorithm.

scholarly journals Research On Optimization Method of Fatigue Analysis for Nuclear Pipeline

2021 ◽  
Vol 257 ◽  
pp. 02017
Author(s):  
Yuan Liang ◽  
Liu Shengyong ◽  
Yang Jie ◽  
Zhou Qiang ◽  
Zhang Guihe
Keyword(s):  
Power Plant ◽  
Nuclear Power ◽  
Optimization Method ◽  
Fatigue Analysis ◽  
Analysis Method ◽  
Pressurized Water Reactor ◽  
Original Design ◽  
Pressurized Water ◽  
Design Life ◽  
License Application

The initial design life of nuclear power plant is 40 years. In 60 year life extending license application, the fatigue of component should be evaluated under the influence of the fatigue factors of the pressurized water reactor coolant environment. Because the original design used a more conservative analysis method, the result could not meet the requirement of Cumulative usage fatigue factor of RCC-M. An optimizing analysis method is studied, and as an example of application, optimizing fatigue analysis of Safety Injection Nozzle of Main Coolant Line is performed. The evaluation results show that the optimized fatigue analysis results meet the requirements of RCC-M.

Detailed Nuclear Power Plant Model for Power System Analysis Based on Matlab-Simulink

2013 ◽  
Vol 291-294 ◽  
pp. 561-570 ◽  
Author(s):  
Jin Tan ◽  
Yue Feng Huang ◽  
Zheng Xu
Keyword(s):  
Power Systems ◽  
Power System ◽  
Nuclear Power ◽  
System Analysis ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Power Generating Unit ◽  
Long Term Stability ◽  
Load Following ◽  
Single Machine Infinite Bus

To research the load-following capability of the nuclear power generating unit, this paper proposed a detailed mathematical model of the pressurized water reactor (PWR) which is suitable for medium- and long-term stability analysis of power systems. Analyzed the interactions between the nuclear power generating unit and the power system, through the simulations of a single machine infinite bus (SMIB) system. The results show that PWR nuclear power generating unit can meet load following requirements to some degree.

Particle Swarm Optimization Method for Panel Layout

2010 ◽  
Vol 450 ◽  
pp. 308-311 ◽  
Author(s):  
Yu Qing Xu ◽  
Zhi Yang ◽  
Qing Xin Meng
Keyword(s):  
Particle Swarm Optimization ◽  
Nuclear Power ◽  
Optimization Design ◽  
Optimization Problems ◽  
Particle Swarm ◽  
Optimization Method ◽  
Particle Swarm Algorithm ◽  
Swarm Optimization ◽  
Operational Conditions ◽  
Frequency Sequence

Panel layout in control room of nuclear power plant requires satisfying layout principles and requirement for multiple operational conditions. Traditional panel layout methods are difficult to integrate these principles; the layout scheme heavily depends on designers’ individual judgments and experience. So the randomness of layout scheme is hard to overcome. Particle swarm optimization is a global efficient solution to complex optimization problems with multi-constraints. First, the operational efficiency is selected as optimization object. Second, objective function is constructed according to the evaluating indexes which include operation frequency, sequence and importance of components. Third, Particle swarm algorithm was used to optimize the layout scheme. A case study of layout optimization design is conducted to illustrate the proposed method.

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