Show simple item record

dc.contributor.advisorMokryani, Geev
dc.contributor.advisorRajamani, Haile S.
dc.contributor.advisorAbd-Alhameed, Raed A.
dc.contributor.authorZubo, Rana H.A.
dc.date.accessioned2020-12-18T12:42:06Z
dc.date.available2020-12-18T12:42:06Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10454/18267
dc.description.abstractDistributed generators (DGs) are proposed as a possible solution to supply economic and reliable electricity to customers. It is adapted to overcome the challenges that are characterized by centralized generation such as transmission and distribution losses, high cost of fossil fuels and environmental damage. This work presents the basic principles of integrating renewable DGs in low voltage distribution networks and particularly focuses on the operation of DG installations and their impacts on active and reactive power. In this thesis, a novel technique that applies the stochastic approach for the operation of distribution networks with considering active network management (ANM) schemes and demand response (DR) within a joint active and reactive distribution market environment is proposed. The projected model is maximized based on social welfare (SW) using market-based joint active and reactive optimal power flow (OPF). The intermittent behaviour of renewable sources (such as solar irradiance and wind speed) and the load demands are modelled through Scenario-Tree technique. The distributed network frame is recast using mixed-integer linear programming (MILP) that is solved by using the GAMS software and then the obtained results are being analysed and discussed. In addition, the impact of wind and solar power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment is explored in terms of the maximization of SW considering the uncertainty related to solar irradiance, wind speed and load demands. Finally, a realistic case study (16-bus UK generic medium voltage distribution system) is used to demonstrate the effectiveness of the proposed method. Results show that ANM schemes and DR integration lead to an increase in the social welfare and total dispatched active and reactive power and consequently decrease in active and reactive D-LMPs.en_US
dc.description.sponsorshipMinistry of Higher Education and Scientific Research - Iraqen_US
dc.language.isoenen_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectDistribution electricity marketen_US
dc.subjectUncertainty modellingen_US
dc.subjectSocial welfare maximizationen_US
dc.subjectDemand responseen_US
dc.subjectActive network managementen_US
dc.subjectLinearizationen_US
dc.subjectOptimizationen_US
dc.subjectDistribution locational marginal pricesen_US
dc.subjectRenewable energy sourcesen_US
dc.subjectDistributed generatorsen_US
dc.subjectDistribution networken_US
dc.titleDistribution Network Operation with High Penetration of Renewable Energy Sources. Joint Active/Reactive Power Procurement: A Market-Based Approach for Operation of Distribution Networken_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentFaculty of Engineering and Informaticsen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.awarded2019
dc.description.publicnotesThe selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.en
refterms.dateFOA2020-12-18T12:42:07Z


Item file(s)

Thumbnail
Name:
2019 Thesis-Final-revGeev-2020 ...
Size:
3.742Mb
Format:
PDF
Description:
PhD Thesis

This item appears in the following Collection(s)

Show simple item record