Group decision support system for backbone-network reconfiguration. (October 2015)

• Record Type: Journal Article
• Authors: Liu, Yutian; Sun, Pengbo; Wang, Chunyi
• Is Part Of: International journal of electrical power & energy systems. Volume 71(2015:Oct.)
• Page Start: 391
• Page End: 402
• Publication Date: 2015-10
• Subjects: Power system restoration -- Multiple attribute decision-making -- Group decision support system -- Intelligent system -- Data warehouse; 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.2015.03.006
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A group decision support system for backbone-network reconfiguration. Unified data platform on data warehouse for consistencies of data and models. Expert rules and numerical computation programs are combined for validity. A three-stage strategy and two-layer path searching method for restoration. TOPSIS and group decision-making are combined for ranking. Abstract: Modern power system is unprecedentedly vulnerable and the society is exposed to higher blackout risks. Therefore restoration is a key issue to power systems. Reasonable backbone-network reconfiguration is necessary for re-establishing the network and restoring loads quickly. In order to speed up network reconfiguration under security constraints, a group decision support system (GDSS) is developed. A unified data platform based on data warehouse is constructed to resolve inconsistencies of data, information and models. A three-stage restoration strategy and a two-layer restoration path searching method are proposed to establish restoration schemes. Multiple attribute decision-making is implemented to evaluate alternatives and consider various attributes about restoration speed and system security comprehensively. Group decision-making provides an aggregated cardinal ranking of candidate restoration schemes. The GDSS uses expert rules for qualitative analysis and numerical computation programs for quantitative analysis, and it can resolve the semi-structured decision problem of network reconfiguration efficiently. Restoration plan of Shandong power grid is developed with the proposed method and it has been adopted by State Grid Shandong Electric Power Company. Performance results of Shandong power grid of China demonstrate the feasibility and flexibility of the method.