Conic optimization method for voltage stability assessment of active distribution networks with different wind turbine models. (November 2022)

• Record Type: Journal Article
• Authors: Tong, Jiang; Chang, Chen; Kaiyao, Wan
• Is Part Of: International journal of electrical power & energy systems. Volume 142:Part A(2022)
• Publication Date: 2022-11
• Subjects: Static voltage stability -- Conic optimization -- Semidefinite program relaxation -- Correlated uncertainties -- Wind turbine models; 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.2022.108304
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A conic optimization method is proposed to calculate the Static Voltage Stability Limit interval (SVSL). Interval ellipsoid hybrid model is proposed to describe the correlated uncertain variables. Three different wind turbine (WT) models are considered in the proposed method. Abstract: This paper presents a conic optimization method based on Semi-Definite Programming (SDP) relaxation for calculating the Static Voltage Stability Limitation (SVSL) in Active Distribution Networks (ADNs), considering correlated uncertainties associated with wind speeds and load forecasting. This method analyses the effect of wind generation on the SVSL interval evaluation with consideration of different wind turbine models. With the proposed Interval Ellipsoid Hybrid Convex Model (IEHCM), a conic optimization solution is presented, which may yield better results in dealing with correlated uncertainties and maintain high accuracy and convergence stability as compared to other alternative methods. The proposed method is tested on a modified IEEE 33-bus systems and several IEEE standard systems to show its superiority.