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Jie Zhao
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

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Journal article
Published: 11 May 2020 in Sustainability
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For the planning of the guaranteed power grid, only the operation capacity of the target grid is considered. The recovery process and steps of the backbone grid are not considered enough, which leads to two defects: the minimum guaranteed power grid is not conducive to the unit recovery and the recovery time is too long. In this paper, a method of constructing the grid with the specific recovery process is proposed. Considering the influence of the grid structure and the position of the black start power supply on the recovery steps, the recovery success rate and the recovery time of the grid, the optimization of the grid structure of the guaranteed grid can meet the demand of power supply and at the same time make the recovery of the target grid less time-consuming and achieve a higher recovery success rate in the event of a blackout. In this method, two aspects are considered: the power failure recovery scenario in the recovery process of the target grid and the normal power supply scenario, reflecting the power supply performance after the recovery of the target grid. In the normal power supply scenario, a three-objective optimization model including power supply capacity, smooth transmission and safety margin is constructed, with power supply capacity and safe operation as constraints. In the scenario of power failure recovery, the process of power grid recovery and the mechanism affecting the success of recovery are analyzed to form the line recovery index. The Dijkstra algorithm is used to search for the optimal recovery path and calculate the recovery index, so as to reoptimize the backbone power grid. The validity of the method is verified by standard and practical examples.

ACS Style

Shengfeng Zhang; Jie Zhao; Yixuan Weng; Dichen Liu; Weizhe Ma; Yuhui Ma. Construction Method of a Guaranteed Grid Considering the Specific Recovery Process. Sustainability 2020, 12, 3935 .

AMA Style

Shengfeng Zhang, Jie Zhao, Yixuan Weng, Dichen Liu, Weizhe Ma, Yuhui Ma. Construction Method of a Guaranteed Grid Considering the Specific Recovery Process. Sustainability. 2020; 12 (9):3935.

Chicago/Turabian Style

Shengfeng Zhang; Jie Zhao; Yixuan Weng; Dichen Liu; Weizhe Ma; Yuhui Ma. 2020. "Construction Method of a Guaranteed Grid Considering the Specific Recovery Process." Sustainability 12, no. 9: 3935.

Journal article
Published: 31 December 2019 in Energies
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Overspeed is more likely to occur in the process of load rejection or large disturbances for nuclear steam turbines due to the large parameter range and low steam parameters, as well as the power of the low-pressure cylinder accounting for a high proportion of the total power. It is of great significance to study the overspeed characteristics of nuclear power plants (NPPs) to ensure the safe and stable operation of the unit and power grid. According to the characteristics of NPPs, the overspeed protection model and the super-acceleration protection model were established, which were added to the speed-governing system model. The response characteristics of the reactor, thermal system, steam turbine and speed-governing system in the process of load rejection or large disturbances of the power grid were analyzed and simulated. The results were compared using the simulation software personal computer transient analyzer (PCTRAN). The simulation results showed that quickly closing both the high and medium pressure regulating valves could effectively realize frequency control when load rejection or a large grid disturbance occurred. The over-acceleration protection cooperates with the super-acceleration protection to avoid the repeated opening/closing of the valves due to overspeed protection. This could effectively reduce the impact of large disturbances on the reactor, thermal system, and turbine.

ACS Style

Li Wang; Wentao Sun; Jie Zhao; Dichen Liu. A Speed-Governing System Model with Over-Frequency Protection for Nuclear Power Generating Units. Energies 2019, 13, 173 .

AMA Style

Li Wang, Wentao Sun, Jie Zhao, Dichen Liu. A Speed-Governing System Model with Over-Frequency Protection for Nuclear Power Generating Units. Energies. 2019; 13 (1):173.

Chicago/Turabian Style

Li Wang; Wentao Sun; Jie Zhao; Dichen Liu. 2019. "A Speed-Governing System Model with Over-Frequency Protection for Nuclear Power Generating Units." Energies 13, no. 1: 173.

Journal article
Published: 03 September 2019 in Sustainability
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The matching characteristics of wind power output and nuclear power peak shaving are studied and the influence of coordinated dispatching of wind power and nuclear power on peak shaving flexibility and cost of the power grid is analyzed. Taking the lowest total operation cost of the system as the objective and considering the operation constraints, peak shaving cost of nuclear power units and the abandoned wind cost, a multi-power dispatching model for power system is proposed. In addition, in order to accurately optimize the output of nuclear power, a method of subdividing the peak shaving depth of nuclear power to linearize the constraint of nuclear power peak shaving is proposed. The analysis of example shows that the multi-power dispatching model considering the coordinated operation of wind and nuclear power has a high operation economy and can significantly reduce the amount of wind abandonment. The daily load tracking mode can be used for the participation of nuclear power units in daily peak shaving and the feasibility and necessity of coordinated wind-nuclear dispatching are verified.

ACS Style

Qi Liu; Jie Zhao; Youguo Shao; Libin Wen; Jianxu Wu; Dichen Liu; Yuhui Ma. Multi-Power Joint Peak-Shaving Optimization for Power System Considering Coordinated Dispatching of Nuclear Power and Wind Power. Sustainability 2019, 11, 4801 .

AMA Style

Qi Liu, Jie Zhao, Youguo Shao, Libin Wen, Jianxu Wu, Dichen Liu, Yuhui Ma. Multi-Power Joint Peak-Shaving Optimization for Power System Considering Coordinated Dispatching of Nuclear Power and Wind Power. Sustainability. 2019; 11 (17):4801.

Chicago/Turabian Style

Qi Liu; Jie Zhao; Youguo Shao; Libin Wen; Jianxu Wu; Dichen Liu; Yuhui Ma. 2019. "Multi-Power Joint Peak-Shaving Optimization for Power System Considering Coordinated Dispatching of Nuclear Power and Wind Power." Sustainability 11, no. 17: 4801.

Journal article
Published: 04 February 2017 in Energies
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The ability to obtain appropriate parameters for an advanced pressurized water reactor (PWR) unit model is of great significance for power system analysis. The attributes of that ability include the following: nonlinear relationships, long transition time, intercoupled parameters and difficult obtainment from practical test, posed complexity and difficult parameter identification. In this paper, a model and a parameter identification method for the PWR primary loop system were investigated. A parameter identification process was proposed, using a particle swarm optimization (PSO) algorithm that is based on random perturbation (RP-PSO). The identification process included model variable initialization based on the differential equations of each sub-module and program setting method, parameter obtainment through sub-module identification in the Matlab/Simulink Software (Math Works Inc., Natick, MA, USA) as well as adaptation analysis for an integrated model. A lot of parameter identification work was carried out, the results of which verified the effectiveness of the method. It was found that the change of some parameters, like the fuel temperature and coolant temperature feedback coefficients, changed the model gain, of which the trajectory sensitivities were not zero. Thus, obtaining their appropriate values had significant effects on the simulation results. The trajectory sensitivities of some parameters in the core neutron dynamic module were interrelated, causing the parameters to be difficult to identify. The model parameter sensitivity could be different, which would be influenced by the model input conditions, reflecting the parameter identifiability difficulty degree for various input conditions.

ACS Style

Li Wang; Jie Zhao; Dichen Liu; Yi Lin; Yu Zhao; Zhangsui Lin; Ting Zhao; Yong Lei. 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, 10, 173 .

AMA Style

Li Wang, Jie Zhao, Dichen Liu, Yi Lin, Yu Zhao, Zhangsui Lin, Ting Zhao, Yong Lei. 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; 10 (2):173.

Chicago/Turabian Style

Li Wang; Jie Zhao; Dichen Liu; Yi Lin; Yu Zhao; Zhangsui Lin; Ting Zhao; Yong Lei. 2017. "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 10, no. 2: 173.