Two‐stage restoration strategies for power systems considering coordinated dispatch between plug‐in electric vehicles and wind power units. Issue 2 (11th February 2020)

• Record Type: Journal Article
• Authors: Zhang, Can; Zhang, Huayi; Liu, Shengyuan; Lin, Zhenzhi; Wen, Fushuan
• Is Part Of: IET smart grid. Volume 3:Issue 2(2020)
• Page Start: 123
• Page End: 132
• Publication Date: 2020-02-11
• Subjects: power system restoration -- quadratic programming -- integer programming -- linear programming -- electric vehicles -- power generation economics -- battery powered vehicles -- wind power plants -- optimisation -- scheduling -- power generation dispatch; electric vehicle aggregators -- power fluctuations -- stage restoration strategies -- power systems -- coordinated dispatch -- plug‐in electric vehicles -- wind power units -- two‐stage restoration strategy optimisation approach -- restored generation capability -- minimise -- reliable cranking power; B0260 Optimisation techniques -- B8110B Power system management, operation and economics -- B8245 Wind power plants -- B8520 Transportation -- C1180 Optimisation techniques; Smart power grids -- Periodicals; Computer science -- Periodicals; Energy industries -- Periodicals; Broadcasting -- Periodicals; 333.79110285
• DOI: 10.1049/iet-stg.2019.0167
• Languages: English
• ISSNs: 2515-2947

Abstract

Abstract : With increased penetration of wind power units and plug‐in electric vehicles (PEVs), their control flexibility and quick response potentially provide an alternative way to fulfil the need for rapid restoration. A two‐stage restoration strategy optimisation approach is presented with the coordination of PEVs and wind power units considered. The optimisation model is to maximise the restored generation capability and minimise the fluctuation of cranking power. In the first stage, the aim is to provide reliable cranking power remotely for black start generators through coordinated dispatch of PEVs and wind power units and quadratic programming (QP) models for dispatching electric vehicle aggregators (EVAs) subject to wind power fluctuations, and for dispatching numerous PEVs within each EVA are developed. To ensure close coordination between these two dispatching procedures, bi‐level programming‐based hierarchical decomposition approach is used to solve the QP models in an iterative way. In the second stage, an integer linear programming model is proposed to optimise the restoration schedules through an effective transformation of the original non‐linear formulation, so as to reduce the computing time and effort significantly. Finally, a case study is presented to demonstrate the effectiveness and essential features of the developed models and methods.