An enhanced approach for probabilistic evaluation of transient stability. (September 2020)

• Record Type: Journal Article
• Authors: Tajdinian, Mohsen; Allahbakhshi, Mehdi; Seifi, Ali Reza; Chamorro, Harold R.; Jahromi, Mehdi Zareian; Sood, Vijay K.
• Is Part Of: International journal of electrical power & energy systems. Volume 120(2020)
• Publication Date: 2020-09
• Subjects: Transient stability -- Energy storage system -- Renewable energy resources; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106055
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Calculating the CCT in each step of simulation considering network preserving model. Proposing an algorithm for considering contribution of the generator during fault. Calculating PDF of CCT based on recursive formulation during fault. Calculating the PDF of CCT for transient stability of the whole power grid. Proposing new objective function for optimal location of energy storage system. Abstract: Due to the high penetration of renewable energy resources leading to the enhancement of uncertainty, the probabilistic assessment of the transient stability has become more important than deterministic assessment. In a previous method published by the authors, an algorithm to find the probability density function of the transient stability margin of the power system was published. This present paper presents a modified algorithm to find the probability density function of critical clearing time for each generator for the whole power grid for a certain contingency and during the fault-on period. First, the critical corrected kinetic energy is calculated based on a modified sensitivity-based algorithm at each step of the simulation during the fault-on period. Since the total kinetic energy of the generators does not contribute in the critical kinetic energy of the whole system, a new criterion - based on the rate of change of kinetic energy - is utilized to classify severely disturbed generators from less disturbed generators. Utilizing critical corrected kinetic energy of the whole power grid, an index based on the critical clearing time, so-called network critical clearing time, is calculated. Eventually, the proposed algorithm is applied on the optimal placement of a superconducting magnetic energy storage unit. It is shown that utilizing the proposed objective function for locating superconducting magnetic energy storage units effectively results in the improvement of the transient stability margin of the power system.