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Linearized hybrid stochastic/robust scheduling of active distribution networks encompassing PVs

Lookup NU author(s): Dr Vahid VahidinasabORCiD, Professor Damian Giaouris, Professor Phil Taylor


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© 2010-2012 IEEE.This paper proposes an optimization framework to deal with the uncertainty in a day-ahead scheduling of smart active distribution networks (ADNs). The optimal scheduling for a power grid is obtained such that the operation costs of distributed generations (DGs) and the main grid are minimized. Unpredictable demand and photovoltaics (PVs) impose some challenges such as uncertainty. So, the uncertainty of demand and PVs forecasting errors are modeled using a hybrid stochastic/robust (HSR) optimization method. The proposed model is used for the optimal day-ahead scheduling of ADNs in a way to benefit from the advantages of both methods. Also, in this paper, the ac load flow constraints are linearized to moderate the complexity of the formulation. Accordingly, a mixed-integer linear programming (MILP) formulation is presented to solve the proposed day-ahead scheduling problem of ADNs. To evaluate the performance of the proposed linearized HSR (LHSR) method, the IEEE 33-bus distribution test system is used as a case study.

Publication metadata

Author(s): Baharvandi A, Aghaei J, Nikoobakht A, Niknam T, Vahidinasab V, Giaouris D, Taylor P

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Smart Grid

Year: 2020

Volume: 11

Issue: 1

Pages: 357-367

Print publication date: 01/01/2020

Online publication date: 19/06/2019

Acceptance date: 02/04/2019

ISSN (print): 1949-3053

ISSN (electronic): 1949-3061

Publisher: Institute of Electrical and Electronics Engineers Inc.


DOI: 10.1109/TSG.2019.2922355


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