Probabilistic available transfer capability assessment in power systems with wind power integration



Sun, Xin, Tian, Zhongbei ORCID: 0000-0001-7295-3327, Rao, Yufei, Li, Zhaohui and Tricoli, Pietro
(2020) Probabilistic available transfer capability assessment in power systems with wind power integration. IET RENEWABLE POWER GENERATION, 14 (11). pp. 1912-1920.

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Abstract

Extending current deterministic tools to incorporate significant stochastic wind power is becoming an important as well as challenging task for present-day power system decision-making. This study proposes a novel probabilistic assessment method to assess the available transfer capability (ATC). Usually, repeated ATC evaluations with an exhaustive set of samples are needed to obtain converged results by the Monte Carlo simulation. To alleviate the computation burden, a statisticallyequivalent surrogate model for the ATC solution is constructed based on the canonical low-rank approximation (LRA). By implementing LRA for the base case and a set of enumerated contingencies, the uncertainties of wind power generation and load, as well as transmission equipment outages, are addressed efficiently. With the proposed method, the probabilistic ATC is characterised, and the most influential uncertain factors are identified, which helps to determine a suitable ATC level. The effectiveness of the proposed method is validated via case studies with a modified IEEE 118-bus system.

Item Type: Article
Uncontrolled Keywords: power transmission reliability, load flow, power system security, power system reliability, power transmission planning, wind power plants, stochastic processes, Monte Carlo methods, probability, current deterministic tools, incorporate significant stochastic wind power, present-day power system decision-making, probabilistic assessment method, repeated ATC evaluations, exhaustive set, converged results, Monte Carlo simulation, computation burden, statistically-equivalent surrogate model, ATC solution, low-rank approximation, LRA, wind power generation, probabilistic ATC, suitable ATC level, modified IEEE 118-bus system, probabilistic available transfer capability assessment, power systems, wind power integration
Depositing User: Symplectic Admin
Date Deposited: 26 Jun 2020 10:46
Last Modified: 18 Jan 2023 23:48
DOI: 10.1049/iet-rpg.2019.1383
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3090769