Differentiated local controls for distributed generators in active distribution networks considering cyber failures. (February 2022)

• Record Type: Journal Article
• Authors: Liu, Wenxia; Lu, Yu; Yang, Mengyao; Fu, Mengdi; Wang, Lingfeng
• Is Part Of: International journal of electrical power & energy systems. Volume 135(2022)
• Publication Date: 2022-02
• Subjects: Active distribution system -- Cyber physical system -- Distributed generation -- Communication failures -- Differentiated local control strategy; 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.2021.107569
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A novel optimization model is proposed to enable differentiated local control strategies for distributed generators with communication failures. The relationship between cyber failure scenarios and cyber link states is modeled in detail. Interval mathematics and intelligent algorithm are adopted to solve the optimization problem. The influences of cyber system topologies on the control strategies are analyzed. Abstract: The dependence of distribution network operation on cyber systems becomes heavier as the amount of grid connected distributed generation (DG) continually increases in the active distribution system (ADS). In order to reduce the operational risks under cyber failure scenarios, this paper proposes an optimization model to enable differentiated local control strategies for DGs with communication failures. First, the correspondence model between cyber failure scenarios and cyber link states is established based on the failure mode effect analysis (FMEA) method. Then a bi-level multi-objective optimization model of differentiated local control strategies for DGs is proposed, which considers the uncertainties of cyber failure scenarios and the uncertainties in power generations and load demands. It aims at minimizing the operational risks including voltage deviation and overcurrent (load curtailment) situations. Interval mathematics and intelligent optimization algorithm are adopted for solving the optimization problem. Finally, a test system is established to validate the effectiveness of the proposed local control strategies. Also, the influences of cyber system topologies on the control strategies are analyzed. This study is instrumental in devising effective operational strategies for DGs in ADS.