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  • Open Access

    ARTICLE

    Doubly-Fed Pumped Storage Units Participation in Frequency Regulation Control Strategy for New Energy Power Systems Based on Model Predictive Control

    Yuanxiang Luo*, Linshu Cai, Nan Zhang

    Energy Engineering, Vol.122, No.2, pp. 765-783, 2025, DOI:10.32604/ee.2024.058426 - 31 January 2025

    Abstract Large-scale new energy grid connection leads to the weakening of the system frequency regulation capability, and the system frequency stability is facing unprecedented challenges. In order to solve rapid frequency fluctuation caused by new energy units, this paper proposes a new energy power system frequency regulation strategy with multiple units including the doubly-fed pumped storage unit (DFPSU). Firstly, based on the model predictive control (MPC) theory, the state space equations are established by considering the operating characteristics of the units and the dynamic behavior of the system; secondly, the proportional-differential control link is introduced to… More > Graphic Abstract

    Doubly-Fed Pumped Storage Units Participation in Frequency Regulation Control Strategy for New Energy Power Systems Based on Model Predictive Control

  • Open Access

    ARTICLE

    Identification of High-Risk Scenarios for Cascading Failures in New Energy Power Grids Based on Deep Embedding Clustering Algorithms

    Xueting Cheng1, Ziqi Zhang2,*, Yueshuang Bao1, Huiping Zheng1

    Energy Engineering, Vol.120, No.11, pp. 2517-2529, 2023, DOI:10.32604/ee.2023.042633 - 31 October 2023

    Abstract At present, the proportion of new energy in the power grid is increasing, and the random fluctuations in power output increase the risk of cascading failures in the power grid. In this paper, we propose a method for identifying high-risk scenarios of interlocking faults in new energy power grids based on a deep embedding clustering (DEC) algorithm and apply it in a risk assessment of cascading failures in different operating scenarios for new energy power grids. First, considering the real-time operation status and system structure of new energy power grids, the scenario cascading failure risk More >

  • Open Access

    ARTICLE

    State Estimation of Regional Power Systems with Source-Load Two-Terminal Uncertainties

    Ziwei Jiang1, Shuaibing Li1,*, Xiping Ma2, Xingmin Li2, Yongqiang Kang1, Hongwei Li3, Haiying Dong1

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 295-317, 2022, DOI:10.32604/cmes.2022.019996 - 02 June 2022

    Abstract

    The development and utilization of large-scale distributed power generation and the increase of impact loads represented by electric locomotives and new energy electric vehicles have brought great challenges to the stable operation of the regional power grid. To improve the prediction accuracy of power systems with source-load two-terminal uncertainties, an adaptive cubature Kalman filter algorithm based on improved initial noise covariance matrix Q0 is proposed in this paper. In the algorithm, the Q0 is used to offset the modeling error, and solves the problem of large voltage amplitude and phase fluctuation of the source-load two-terminal uncertain systems.

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