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  • IOP Publishing  (2)
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  • IOP Publishing  (2)
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  • 1
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 1754, No. 1 ( 2021-02-01), p. 012092-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1754, No. 1 ( 2021-02-01), p. 012092-
    Abstract: Aiming at the problems of multi-mode operation and switching, unbalanced feeder load and heavy load of main transformer in flexible interconnection system of distribution network based on Flexible Multi-State Switch(FMSS), a multi-mode operation control strategy of feeder interconnection in distribution network based on Virtual Synchronous Generator (VSG) is proposed,which includes load balancing control strategy and heavy load main transformer automatic control strategy. Firstly, according to the feeder and main transformer load status, the operation mode of system is divided.Then, through the analysis power transmission and switching logic of different operating mode, active power control instructions of FMSS under multi-mode operation are obtained. So that multi-mode stable operation and free switching of the system, the feeder load balancing and main transformer heavy load automatic regulation are realized. In addition, there is no need for control strategy switching. Simulation verifies the rationality and effectiveness of the proposed control strategy.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    IOP Publishing ; 2021
    In:  Journal of Physics: Conference Series Vol. 1754, No. 1 ( 2021-02-01), p. 012195-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1754, No. 1 ( 2021-02-01), p. 012195-
    Abstract: Because of the drawbacks of easy premature in initial iteration stages, the low convergence accuracy and slowed-down converging speed in final stages of the particle swarm optimization (PSO)algorithm therefore the simple particle swarm optimization (SPSO) algorithm with dynamic changes of inertia weight and acceleration coefficients (IASPSO) has been put forward. IASPSO algorithm provides a parameter optimization strategy by using exponential decreasing inertia weight and sine function acceleration coefficient to improve global exploration capacity. Simulation tests are carried out with classic Benchmark test functions. The simulation results show that compared with other PSO algorithms, IASPSO algorithm can converge to the better global optimization with a fast converging velocity and high convergence precision, promoting the optimization performance of the algorithm.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2021
    detail.hit.zdb_id: 2166409-2
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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