Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling

Joint Authors

Bai, Xiaoqing
Li, Peijie
Zhu, Ling
Wei, Hua

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-02-11

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Philosophy

Abstract EN

Due to the nonsmoothness of the small-signal stability constraint, calculating the available transfer capability (ATC) limited by small-signal stability rigorously through the nonlinear programming is quite difficult.

To tackle this challenge, this paper proposes a sequential quadratic programming (SQP) method combined with gradient sampling (GS) in a dual formulation.

The highlighted feature is the sample size of the gradient changes dynamically in every iteration, yielding an adaptive gradient sampling (AGS) process.

Thus, the computing efficiency is greatly improved owing to the decrease and the parallelization of gradient evaluation, which dominates the computing time of the whole algorithm.

Simulations on an IEEE 10-machine 39-bus system and an IEEE 54-machine 118-bus system prove the effectiveness and high efficiency of the proposed method.

American Psychological Association (APA)

Li, Peijie& Zhu, Ling& Bai, Xiaoqing& Wei, Hua. 2020. Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1141742

Modern Language Association (MLA)

Li, Peijie…[et al.]. Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1141742

American Medical Association (AMA)

Li, Peijie& Zhu, Ling& Bai, Xiaoqing& Wei, Hua. Available Transfer Capability Calculation Constrained with Small-Signal Stability Based on Adaptive Gradient Sampling. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1141742

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1141742