Distributed 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. / Ministry of Higher Education and Scientific Research - Iraq / The selected author's publications, the published versions of which were attached at the end of the thesis, have been removed due to copyright.
| Identifer | oai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/18267 |
| Date | January 2019 |
| Creators | Zubo, Rana H.A. |
| Contributors | Mokryani, Geev, Rajamani, Haile S., Abd-Alhameed, Raed |
| Publisher | University of Bradford, Faculty of Engineering and Informatics |
| Source Sets | Bradford Scholars |
| Language | English |
| Detected Language | English |
| Type | Thesis, doctoral, PhD |
| 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>. |
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