An integrated multiperiod OPF model with demand response and renewable generation uncertainty

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Bukhsh, Waqquas A. and Zhang, Chunyu and Pinson, Pierre (2015) An integrated multiperiod OPF model with demand response and renewable generation uncertainty. IEEE Transactions on Smart Grid. ISSN 1949-3053 (https://doi.org/10.1109/TSG.2015.2502723)

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Abstract

Renewable energy sources such as wind and solar have received much attention in recent years, and large amounts of renewable generation are being integrated into electricity networks. A fundamental challenge in power system operation is to handle the intermittent nature of renewable generation. In this paper, we present a stochastic programming approach to solve a multiperiod optimal power flow problem under renewable generation uncertainty. The proposed approach consists of two stages. In the first stage, operating points of the conventional power plants are determined. The second stage realizes generation from the renewable resources and optimally accommodates it by relying on the demand-side flexibilities. The proposed model is illustrated on a 4-bus and a 39-bus system. Numerical results show that substantial benefits in terms of redispatch costs can be achieved with the help of demand side flexibilities. The proposed approach is tested on the standard IEEE test networks of up to 300 buses and for a wide variety of scenarios for renewable generation.

ORCID iDs

Bukhsh, Waqquas A. ORCID logoORCID: https://orcid.org/0000-0002-5765-0747, Zhang, Chunyu and Pinson, Pierre;
  • Item type:Article
    ID code:55247
    Dates:
    Date
    Event
    4 December 2015
    Published
    17 November 2015
    Accepted
    Notes:(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:05 Jan 2016 15:45
    Last modified:02 Dec 2024 17:18
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/55247
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