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

Baharvandi, A, Aghaei, J, Nikoobakht, A, Niknam, T, Vahidinasab, V ORCID: https://orcid.org/0000-0002-0779-8727, Giaouris, D and Taylor, P, 2020. Linearized hybrid stochastic/robust scheduling of active distribution networks encompassing PVs. IEEE Transactions on Smart Grid, 11 (1), pp. 357-367. ISSN 1949-3053

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Abstract

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.

Item Type:	Journal article
Publication Title:	IEEE Transactions on Smart Grid
Creators:	Baharvandi, A., Aghaei, J., Nikoobakht, A., Niknam, T., Vahidinasab, V., Giaouris, D. and Taylor, P.
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Date:	January 2020
Volume:	11
Number:	1
ISSN:	1949-3053
Identifiers:	Number Type 10.1109/tsg.2019.2922355 DOI 1639206 Other
Rights:	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	09 Feb 2023 09:28
Last Modified:	09 Feb 2023 09:28
URI:	https://irep.ntu.ac.uk/id/eprint/48205

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