首页|Small-signal Stability Constrained Optimal Power Flow Considering Eigenvalue Distribution
Small-signal Stability Constrained Optimal Power Flow Considering Eigenvalue Distribution
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In the existing small-signal stability constrained op-timal power flow(SSSC-OPF)algorithms,only the rightmost ei-genvalue or eigenvalues that do not satisfy a given threshold,e.g.,damping ratio threshold and real-part threshold of eigen-value,are considered in the small-signal stability constraints.The effect of steady-state,i.e.,operating point,changes on eigen-values is not fully taken into account.In this paper,the small-signal stability constraint that can fully reflect the eigenvalue change and system dynamic performance requirement is formed by analyzing the eigenvalue distribution on the complex plane.The small-signal stability constraint is embedded into the standard optimal power flow model for generation reschedul-ing.The simultaneous solution formula of the SSSC-OPF is es-tablished and solved by the quasi-Newton approach,while pen-alty factors corresponding to the eigenvalue constraints are de-termined by the stabilization degree of constrained eigenvalues.To improve the computation speed,a hybrid algorithm for ei-genvalue computation in the optimization process is proposed,which includes variable selection for eigenvalue estimation and strategy selection for eigenvalue computation.The effectiveness of the proposed algorithm is tested and validated on the New England 10-machine 39-bus system and a modified practical 68-machine 2395-bus system.
Damping ratioeigenvalueoptimal power flowquasi-Newton approachsensitivitysmall-signal stability
Zheng Huang、Kewen Wang、Yi Wang、Jing Han、Jun Liang
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School of Electrical and Information Engineering,Zhengzhou University,Zheng-zhou 450001,China
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