A study on the dynamic characteristics of the secondary loop in nuclear power plant

Zhang, J.; Yin, Shasha; Chen, L.; Ma, Yunduo; Wang, M.J.; Fu, Hong; Wu, Yingwei; Tian, Wenxi; Qiu, Suizheng; Su, G.H.

doi:10.1016/j.net.2020.11.014

Cited by 16 publications

(9 citation statements)

References 9 publications

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“…The moisture separator and reheater are lumped together for modelling purposes and re-heater outlet temperature [9] is given as follows.…”

Section: Fractional Order Modelling Of Secondary Loop With Emphasis O...mentioning

confidence: 99%

“…The two loop whole AP1000 type PWR nuclear power plant has been modelled and conventional controllers have been configured for grid transient studies in [8]. The secondary loop (SL) of PWR type nuclear power plant has been modelled with special emphasis on steam turbine, feed water pump, ejector and condenser in [9]. A robust fractional order PID controller has been designed for dynamic mechatronic system in [10].…”

Section: Introductionmentioning

confidence: 99%

“…Our proposed methodology is one step ahead in this direction to develop a fractional order multi-model modular framework of three loop ACP1000 using primary loop, secondary loop and an addition of balance of plant (BOP) with ANFIS based intelligent MISO and MIMO controllers. The entire closed loop model of ACP1000 nuclear power plant is a hybrid platform of Visual Basic and LabVIEW with a special scheme of variable transfer of plant and controller parameters as compared to other third generation PWR type nuclear plants reported in [8][9].…”

Section: Introductionmentioning

confidence: 99%

“…The feed water flow dynamics [9] is computed by following fractional order integro-differential equation.…”

mentioning

confidence: 99%

“…The deaerator is provided to control the chemistry to prevent from corrosion. The dynamics of steam and water regions [9] can be modelled as follows. The dynamics of steam flow can be modelled as follows.…”

mentioning

confidence: 99%

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Fractional order modelling and robust multi-model intelligent controllers’ synthesis for ACP1000 nuclear power plant

Malik¹,

Memon²,

Arshad³

2022

murjet

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In this research work, a third generation Pressurized Water Reactor (PWR) type Nuclear Power Plant (NPP) of 1100 MWe rating called Advanced Chinese PWR (ACP1000) NPP is adopted. The research and development work is mainly encompassed of addition of third steam generator loop, hybrid programming platforms, fractional order modular modelling and intelligent controllers. The ACP1000 NPP is comprised of primary loop, secondary loop and balance of plant (BOP). The ACP1000 nonlinear dynamics is precisely modelled with greater efficiency using fractional order differential equations. The entire plant is modelled into eighteen modules in a fractional order framework in Visual Basic (VB) environment. The eighteen modules are governed by nine controllers. Controllers are configured in a fashion of an adaptive neuro-fuzzy inference system (ANFIS). An innovative multi input single output (MISO) ANFIS virtual instrument (VI) is designed for training and configuring controllers in LabVIEW. The developed MISO ANFIS VI in combination is implemented for multi-input multi output (MIMO) ANFIS controllers in parallel computing framework. The variable transfer between fractional order multi- modular framework in VB (FO- MMF-VB) and robust intelligent ANFIS controllers in LabVIEW (RI-ANFIS-LV) is established in client server configuration and system exec VI for calling external code in VB. This hybrid programming framework of Visual Basic and LabVIEW is actually a development of LabVIEW Visual Basic Integration (LabVb) Toolkit used to evaluate the closed loop transient performance of ACP1000 nuclear power plant. Various parameters are simulated for dynamic transient simulations under load manoeuvring from 100% power to 50% power. The results are analysed and validated against benchmark design data and Preliminary Safety Analysis Report (PSAR). All the results are within the protection systems design limits under normal operating conditions.

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“…The moisture separator and reheater are lumped together for modelling purposes and re-heater outlet temperature [9] is given as follows.…”

Section: Fractional Order Modelling Of Secondary Loop With Emphasis O...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The feed water flow dynamics [9] is computed by following fractional order integro-differential equation.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Fractional order modelling and robust multi-model intelligent controllers’ synthesis for ACP1000 nuclear power plant

Malik¹,

Memon²,

Arshad³

2022

murjet

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Effect of microstructure and bending angle in cold bend pipe of SA 106B on flow accelerated corrosion behavior in simulated pressurized water reactor secondary circuit water environment

Hu,

Lu,

Xin

et al. 2024

Corrosion Science

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Dynamic optimization method for cleaning cycle of condenser of nuclear power plant

Chen,

Zhang,

et al. 2024

Energy

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A study on the dynamic characteristics of the secondary loop in nuclear power plant

Cited by 16 publications

References 9 publications

Fractional order modelling and robust multi-model intelligent controllers’ synthesis for ACP1000 nuclear power plant

Fractional order modelling and robust multi-model intelligent controllers’ synthesis for ACP1000 nuclear power plant

Effect of microstructure and bending angle in cold bend pipe of SA 106B on flow accelerated corrosion behavior in simulated pressurized water reactor secondary circuit water environment

Dynamic optimization method for cleaning cycle of condenser of nuclear power plant

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