Open AccessIntegrated transmission and storage systems investment planning hosting wind power generation: continuous‐time hybrid stochastic/robust optimisation
Author(s) -
Nikoobakht Ahmad,
Aghaei Jamshid
Publication year - 2019
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0257
Subject(s) - sizing , wind power , mathematical optimization , stochastic modelling , electric power system , computer science , electricity generation , engineering , reliability engineering , power (physics) , electrical engineering , mathematics , physics , quantum mechanics , art , statistics , visual arts
In this study, a continuous‐time hybrid stochastic/robust optimisation is proposed for the integrated investment in transmission lines (TLs) and energy storage systems (ESSs) with high penetration of uncertain wind power generation (WPG) sources from a central planner viewpoint. The main objective of the problem is to achieve a simultaneous expansion of transmission assets, TLs and ESSs, whereas minimising the investment cost while taking the operational aspects of a power system into account to accommodate higher shares of uncertain and intermittent WPGs. However, the integrated expansion planning of joint TL and ESS to integrate WPGs via conventional hourly discrete time model can increase the operation cost and result in a non‐optimal sizing and siting of TLs and ESSs, hence, can impose an opposite effect on the favourite. Accordingly, a continuous‐time model is proposed to coordinate the expansion planning of both TL and ESS to deal with sub‐hourly uncertainty of WPGs. Also, the WPG uncertainty in expansion planning problem is characterised using a hybrid stochastic/robust optimisation framework. Numerical tests are implemented on a modified IEEE RTS 24‐bus system and the achieved results confirm the efficiency of the proposed model.