A new optimal contingency‐based design for placement of gas turbines to enhance black‐start capability. (23rd May 2018)

• Record Type: Journal Article
• Authors: Esmaili, Mohammad Reza; Khodabakhshian, Amin; Hooshmand, Rahmat‐allah
• Is Part Of: International transactions on electrical energy systems. Volume 28:Number 11(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-23
• Subjects: black‐start units -- multiobjective design -- Pareto optimal set -- path reliability -- power system restoration; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/etep.2622
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: Installing new energy sources as redundant black‐start (BS) units is an efficient way to enhance the speed of power system restoration, especially when there is a high risk that the available power plants considered as BS units fail to operate. In this regard, this paper provides a new optimal design for the placement of the gas turbine as the redundant energy source considering N‐1 contingency analysis to improve the BS capability during restoration conditions. In doing so, there will be 2 contradictory objective functions of minimizing the maximum unavailable energy capacity and maximizing the minimum cranking path reliability. Therefore, a multiobjective problem, as a mixed integer nonlinear programming, is defined. The Pareto optimal solutions of the multiobjective problem are obtained by using a population‐based meta‐heuristic technique, called crow search algorithm. Two power systems are used for the validation of the proposed method. The simulation results show that the system can benefit from this method not only to increase the capability of BS generation but also to enhance the reliability of generators start‐up. During the restoration process, the optimal start‐up sequences of nonblack‐start units and the most reliable transmission paths are also provided.