Optimal distribution system restoration using PHEVs. Issue 1 (30th January 2019)

• Record Type: Journal Article
• Authors: Sun, Wei; Kadel, Nemica; Alvarez‐Fernandez, Inalvis; Nejad, Reza Roofegari; Golshani, Amir
• Is Part Of: IET smart grid. Volume 2:Issue 1(2019)
• Page Start: 42
• Page End: 49
• Publication Date: 2019-01-30
• Subjects: power system restoration -- linear programming -- integer programming -- power distribution faults -- optimisation -- hybrid electric vehicles -- power system reliability; normal operating conditions -- 100‐feeder test system -- MILP‐based restoration strategy -- PHEVs -- system operators -- efficient system restoration -- system resiliency -- optimal distribution system restoration -- power outages -- hospital patients -- power distribution system -- operation strategy -- modern distribution systems -- fast response energy resources -- hybrid electric vehicles -- available generation -- distribution system load -- reliable load pickup -- faster restoration process -- load pickup sequence -- restored energy -- mixed integer linear programming problem -- restoration time -- transmission restoration -- distribution system restoration -- bottom‐up restoration strategy; B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8120J Distribution networks -- B8520 Transportation; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2018.0054
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : Power outages cost billions of dollars every year and jeopardise the lives of hospital patients. Traditionally, power distribution system takes a long time to recover after a major blackout, due to its top‐down operation strategy. New technologies in modern distribution systems bring opportunities and challenges to distribution system restoration. As fast response energy resources, plug‐in hybrid electric vehicles (PHEVs) can accelerate the load pickup by compensating the imbalance between available generation and distribution system load. This study provides a bottom‐up restoration strategy to use PHEVs for reliable load pickup and faster restoration process. The optimisation problem of finding load pickup sequence to maximise restored energy is formulated as a mixed integer linear programming (MILP) problem. Moreover, the coordination between transmission and distribution restoration is developed to efficiently restore the entire system back to normal operating conditions. Simulation results on one 100‐feeder test system demonstrate the efficiency of MILP‐based restoration strategy and the benefit from PHEVs to restore more energy in given restoration time. The proposed restoration strategy has great potential to facilitate system operators to achieve efficient system restoration plans. It also provides incentives to deploy a large amount of PHEVs to improve system resiliency.