4.7 Article

Non-fragile load frequency control of multi-area power system with energy storage system and wind power subject to circular pole constraints

出版社

ELSEVIER
DOI: 10.1016/j.seta.2021.101184

关键词

Non-fragile load frequency control; Wind power; Multi-area power system; Circular pole constraints; Energy storage system; LMI

资金

  1. National Natural Science Foundation [61573131, 61703147]
  2. Natural Science Foundation of Heilongjiang Province [F2016033]
  3. Special Foundation of Heilongjiang University by Basic Scientific Research in Universities of Heilongjiang Province [KJCX201824, RCYJTD201802]

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This study presents a non-fragile load frequency control scheme for multi-area power systems, addressing the issues caused by system time delays and uncertainties through dynamic modeling and non-fragile control. The improved scheme significantly reduces computational burden and effectively verifies the validity of the method.
Non-fragile load frequency control scheme is provided to solve the problem of multi-area power system with energy storage system and wind power. A dynamical model is established in term of multi-area power system with time-delay and uncertainties, which subjects to circular pole constraints simultaneously. Firstly, it is convenient to be operated by computer, the discrete-time signal is attained by sampling the dynamical model, which results in that long time-delay is equivalently turned into two pairs of successive state time-delay. Secondly, non-fragile control is employed to guarantee the closed-loop poles of the equivalent discrete-time one locate in the specified circular region inside the unit disk. Besides, the specified circular region can be transformed into the unit disk by the appropriate linear transformation, thereby, D-stabilization is converted into asymptotical stabilization. Thirdly, the direct distributed scheme of time-delay is adopted, in comparison with the state augmented scheme, less computational burden is derived. Finally, numerical examples are put forward to verify the effectiveness of the proposed methods.

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