Open AccessIGDT‐based robust optimal utilisation of wind power generation using coordinated flexibility resources
Author(s) -
Nikoobakht Ahmad,
Aghaei Jamshid
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0546
Subject(s) - flexibility (engineering) , power system simulation , demand response , electric power system , computer science , mathematical optimization , integer programming , wind power , scheme (mathematics) , decomposition , power (physics) , control engineering , operations research , reliability engineering , engineering , electricity , economics , mathematics , management , electrical engineering , mathematical analysis , ecology , physics , quantum mechanics , biology
This study investigates the application of a robust method to solve the problem of security constrained unit commitment (SCUC) with flexible resources for managing the uncertainty of significant wind power generation (WPG) to sustain the load‐generation balance. The flexible resources include up/down ramping capability of thermal units, hourly demand response, energy storage system and transmission switching action through an integrated scheme. The application of mixed‐integer linear programming to deal with the SCUC problem with flexibility resources has been discussed in this study using information‐gap decision theory (IGDT) to realise a robust strategy for power system decision maker. Besides, this study proposes an effective solution strategy based on Benders' decomposition to solve the proposed problem. Numerical simulation results on the modified six‐bus system and IEEE 118‐bus system clearly demonstrate the benefits of applying flexibility resources for managing the WPG uncertainty and validate the applicability of the proposed IGDT‐based SCUC model.