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    Coordination Design of PSS and STATCOM Based on the IDBO Algorithm to Improve Small-Signal Stability of Wind PV Thermal–Bundled Power System

    Source: Journal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 001::page 04024039-1
    Author:
    Ping He
    ,
    Zhiwen Pan
    ,
    Fushuan Wen
    ,
    Congshan Li
    ,
    Zemeng Liu
    ,
    Lingshuai Kong
    DOI: 10.1061/JLEED9.EYENG-5551
    Publisher: American Society of Civil Engineers
    Abstract: The low frequency oscillation (LFO) caused by the access of renewable energy sources has a significant impact on the stability of power system. This paper utilizes a static synchronous compensator (STATCOM) and power system stabilizers (PSSs) to enhance the stability of wind photovoltaic (PV) thermal–bundled (WPTB) power transmission systems, and the optimization algorithm is used to coordinate and optimize the parameters of multi-controller. The dung beetle optimization (DBO) algorithm is characterized by slow convergence speed and susceptibility to local optima when dealing with multicontroller parameter coordination optimization problems. In this paper, improvements are made to the DBO algorithm using the golden-sine algorithm (gold-SA), whale search strategy, Levy flight operator, and t-distribution mutation operator. Through comparison with current mainstream algorithms using test functions of different dimensions, the effectiveness of the Improved dung beetle optimization (IDBO) algorithm is verified. The damping ratio under LFO mode is employed as the objective function. The effectiveness of the proposed method was validated through eigenvalue analysis and time-domain simulation in both the IEEE 4-machine 2-area test system and the 16-machine 5-area test system. The engineering application of IDBO has been supplemented.
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      Coordination Design of PSS and STATCOM Based on the IDBO Algorithm to Improve Small-Signal Stability of Wind PV Thermal–Bundled Power System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4304256
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    contributor authorPing He
    contributor authorZhiwen Pan
    contributor authorFushuan Wen
    contributor authorCongshan Li
    contributor authorZemeng Liu
    contributor authorLingshuai Kong
    date accessioned2025-04-20T10:13:34Z
    date available2025-04-20T10:13:34Z
    date copyright10/24/2024 12:00:00 AM
    date issued2025
    identifier otherJLEED9.EYENG-5551.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4304256
    description abstractThe low frequency oscillation (LFO) caused by the access of renewable energy sources has a significant impact on the stability of power system. This paper utilizes a static synchronous compensator (STATCOM) and power system stabilizers (PSSs) to enhance the stability of wind photovoltaic (PV) thermal–bundled (WPTB) power transmission systems, and the optimization algorithm is used to coordinate and optimize the parameters of multi-controller. The dung beetle optimization (DBO) algorithm is characterized by slow convergence speed and susceptibility to local optima when dealing with multicontroller parameter coordination optimization problems. In this paper, improvements are made to the DBO algorithm using the golden-sine algorithm (gold-SA), whale search strategy, Levy flight operator, and t-distribution mutation operator. Through comparison with current mainstream algorithms using test functions of different dimensions, the effectiveness of the Improved dung beetle optimization (IDBO) algorithm is verified. The damping ratio under LFO mode is employed as the objective function. The effectiveness of the proposed method was validated through eigenvalue analysis and time-domain simulation in both the IEEE 4-machine 2-area test system and the 16-machine 5-area test system. The engineering application of IDBO has been supplemented.
    publisherAmerican Society of Civil Engineers
    titleCoordination Design of PSS and STATCOM Based on the IDBO Algorithm to Improve Small-Signal Stability of Wind PV Thermal–Bundled Power System
    typeJournal Article
    journal volume151
    journal issue1
    journal titleJournal of Energy Engineering
    identifier doi10.1061/JLEED9.EYENG-5551
    journal fristpage04024039-1
    journal lastpage04024039-15
    page15
    treeJournal of Energy Engineering:;2025:;Volume ( 151 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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