Existence and Stability of Equilibrium of DC Microgrid With Constant Power Loads

Liu, Zhangjie; Su, Mei; Sun, Yang; Yuan, Wenbin; Han, Hua; Feng, Jianghua

doi:10.1109/tpwrs.2018.2849974

Cited by 71 publications

(35 citation statements)

References 24 publications

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“…Wind power generation is one of the fastest-increasing types of renewable energy generation [12][13][14][15]. Due to the intermittent and variable nature of wind power, wind power prediction [16] is of great importance for the safety [17,18], stability [19,20], and economic efficiency [21,22] of power grids. Wind power prediction (WPP) models can provide useful information about the upcoming wind power generation profile [12].…”

Section: Introductionmentioning

confidence: 99%

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

et al. 2019

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A wind power short-term forecasting method based on discrete wavelet transform and long short-term memory networks (DWT_LSTM) is proposed. The LSTM network is designed to effectively exhibit the dynamic behavior of the wind power time series. The discrete wavelet transform is introduced to decompose the non-stationary wind power time series into several components which have more stationarity and are easier to predict. Each component is dug by an independent LSTM. The forecasting results of the wind power are obtained by synthesizing the prediction values of all components. The prediction accuracy has been improved by the proposed method, which is validated by the MAE (mean absolute error), MAPE (mean absolute percentage error), and RMSE (root mean square error) of experimental results of three wind farms as the benchmarks. Wind power forecasting based on the proposed method provides an alternative way to improve the security and stability of the electric power network with the high penetration of wind power.

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Section: Introductionmentioning

confidence: 99%

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

et al. 2019

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“…In this section, the small-signal stability of the PV-storage MG will be investigated by root locus technique. [37][38][39][40]…”

Section: Stability Analysismentioning

confidence: 99%

A series-parallel PV-storage independent microgrid and its decentralized control

Liu

Yuan

et al. 2018

Int Trans Electr Energ Syst

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Summary This paper presents a series‐parallel photovoltaic (PV)‐storage independent microgrid (MG), where low‐voltage distributed generation units could be connected to power grid conveniently. Moreover, it provides a promising way to form medium voltage MG. For this proposed structure, a decentralized control is proposed. The PV units are controlled by a maximum power point tracking (MPPT)‐based droop control, where MPPT of the PV units is achieved. Storage units are regulated via a “droop” controller dependent its reactive power polarity and take the responsibility of keeping the power supply‐demand balance of the MG. Since all these controllers make decisions only based on their local information, the proposed control is reliable and cost‐effective. Moreover, the small‐signal stability of the system is proved. And simulation results are presented to verify the effectiveness.

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“…The second group extends the stability analysis to a system with n converters [45][46][47][48][49]. The structures of DC microgrids with multiple DG units can be divided into two types: single bus and multiple bus.…”

Section: Introductionmentioning

confidence: 99%

“…The stability of a star-type DC microgrid with distributed control has been analyzed in [48], and analytical stability conditions were established as a function of the system parameters by using the inertia theorem. The stability of a meshed DC microgrid with multiple buses has been analyzed in [49]. Based on Tarski's fixed-point theorem, the existence conditions for a system equilibrium were obtained.…”

Section: Introductionmentioning

confidence: 99%

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Stabilization Method Considering Disturbance Mitigation for DC Microgrids with Constant Power Loads

Liang

Liu

2019

Energies

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In this paper, the stability of direct current (DC) microgrids with a constant power load (CPL) and a non-ideal source is investigated. The CPL’s negative impedance will destabilize the system, and disturbances in the non-ideal source will degrade the load voltage quality. In this study, we aim to: (1) overcome the instability of the CPL; (2) mitigate disturbances from the non-ideal source; (3) prevent the discontinuous harmonic current of high-frequency switching regulator from interfering with the source. Then, a stabilization method based on active damping which can achieve the above three objectives simultaneously is proposed. To obtain the stability conditions, the small-signal model of the system near the high-voltage equilibrium is established. Then, stability conditions are derived by eigenvalue analysis, and the domain of attraction near equilibrium is also obtained using the quadratic Lyapunov function. For the second objective, the key is to choose the optimal parameters to achieve disturbance attenuation. For the third objective, the active damper can separate the source from the switching regulator, which can prevent the discontinuous harmonic current. Moreover, the proposed method can be extended to multiple cases, and simulation results verify the effectiveness of the proposed method.

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Existence and Stability of Equilibrium of DC Microgrid With Constant Power Loads

Cited by 71 publications

References 24 publications

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

Wind Power Short-Term Prediction Based on LSTM and Discrete Wavelet Transform

A series-parallel PV-storage independent microgrid and its decentralized control

Stabilization Method Considering Disturbance Mitigation for DC Microgrids with Constant Power Loads

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