Stability analysis of integrated power system with pulse load

Wang, Gang; Xiao, Runlong; Xu, Chen; Huang, Renji; Hao, Xiaoliang

doi:10.1016/j.ijepes.2019.105462

Cited by 13 publications

(8 citation statements)

References 3 publications

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“…As shown in Figure 6, there is a transition of the asymmetric system (17) from chaos to the periodicity. The phase diagrams of the asymmetric system (17) are shown in the Figure 7. The numerical solution for the transition of the asymmetric system (17) from chaos to periodicity can be determined as f 4 = 0.3448.…”

Section: Numerical Simulationmentioning

confidence: 99%

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Dynamic Behaviors Analysis of Asymmetric Stochastic Delay Differential Equations with Noise and Application to Weak Signal Detection

2019

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This paper presents the dynamic behaviors of a second-order asymmetric stochastic delay system with a Duffing oscillator as well as through the detection of weak signals, which are analyzed theoretically and numerically. The dynamic behaviors of the asymmetric system are analyzed based on the stochastic center manifold, together with Hopf bifurcation. Numerical analysis revealed that the time delay could enhance the noise immunity of the asymmetric system so as to enhance the asymmetric system’s ability to detect weak signals. The frequency of the weak signal under noise excitation was detected through the ‘act-and-wait’ method. The small amplitude was detected through the transition from the chaotic to the periodic state. Theoretical analysis and numerical simulation indicate that the application of the asymmetric Duffing oscillator with delay to detect weak signal is feasible.

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Section: Numerical Simulationmentioning

confidence: 99%

“…At present, some scholars have studied the dynamic behaviors of asymmetric non-delay systems in detail [16][17][18]. In addition, time delay is universal in nature.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Behaviors Analysis of Asymmetric Stochastic Delay Differential Equations with Noise and Application to Weak Signal Detection

2019

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“…The general power requirements for PL vary in magnitude from a few hundred kilowatts to a few megawatts, and the intervals between iterative pulses vary from a few to couples of seconds [4]. PL devices may exceed the ships generators ability in terms of power ramp rate, which may drive the system to instability [5]. In addition, the constant power and negative impedance characteristics of the PML will also adversely affect the DC voltage stability.…”

Section: Introductionmentioning

confidence: 99%

A flexible virtual inertial control algorithm for ship with propulsion load and pulse load

Lin

Xiao

2021

IET Electric Power Appl

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The pulse load of an integrated power system (IPS) ship can produce very high power intermittently in a short period of time. Owing to the limited DC bus capacitance, the periodic pulse load charging and discharging process can make the IPS system state variables have a periodic alternating process during electromagnetic transients, especially at the bus voltage. In order to alleviate this problem, it is necessary to find a suitable control strategy. At first, this article establishes a mathematical model of DC bus voltage dynamics and propulsion motor load. Then, a flexible energy scheduling algorithm is proposed to coordinate the propulsion motor load and the pulse load based on the flexibility of IPS energy scheduling and the concept of virtual inertia. This algorithm can adaptively change the virtual inertia of the DC bus according to the pulse load power level and the propulsion motor load level to mitigate the impact of the pulse load on the IPS system. At the same time, the algorithm is also distributed and has little impact on the propulsion system. Finally, the effectiveness of the algorithm is verified through the mixed simulation of PSCAD and MATLAB and the hardware in the loop test.

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“…Besides, the IPS is large in scale, the pulse period is long and the time scale between the pulse period and switching period is different, which make it necessary to develop a fast algorithm of periodic orbit stability analysis. The existing periodic orbit stability analyzing algorithm [22] uses the state‐space average method for modeling the switching period. In Ref.…”

Section: Introductionmentioning

confidence: 99%

“…There are TDSM [15], periodic orbit method [22] and state space average method [23] for stability analysis of the IPS with a multicycle dynamic process. However, using the TDSM for analyzing and designing the control system is difficult.…”

Section: Introductionmentioning

confidence: 99%

Stability Analysis of Integrated Power System in Multicycle Dynamic Process

Huang

Wang

Xiao

et al. 2021

IEEJ Transactions Elec Engng

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The integrated power system (IPS) with pulse load involves the dynamic processes of millisecond‐level switching period and second‐level pulse period. The characteristics of this kind of multicycle dynamic process cause much difficulty in analyzing system stability. For this reason, this paper presents a multicycle coupling mathematical model of the IPS with pulse load and proposes an algorithm based on the state variables for analyzing the sensitivity of the preceding switching period which can rapidly and accurately calculate the periodic orbit and stability margin of the system. Considering a little change in the system state variables under small disturbance, this paper uses the pulse‐period average model to simplify the calculation. The simulation analysis shows that the pulse‐period average model has the same stability margin with the multicycle coupling model. The critical pulse power calculated by the above models is 5.5 and 17 kW when the constant power is 20 and 14 kW respectively, which is consistent with the time domain simulation. It may provide technical support for the stability analysis of the IPS with pulse load. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Stability analysis of integrated power system with pulse load

Cited by 13 publications

References 3 publications

Dynamic Behaviors Analysis of Asymmetric Stochastic Delay Differential Equations with Noise and Application to Weak Signal Detection

Dynamic Behaviors Analysis of Asymmetric Stochastic Delay Differential Equations with Noise and Application to Weak Signal Detection

A flexible virtual inertial control algorithm for ship with propulsion load and pulse load

Stability Analysis of Integrated Power System in Multicycle Dynamic Process

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