Optimal operation of distribution networks with high penetration of wind and solar power within a joint active and reactive distribution market environment
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Publication date
2018-06-15Keyword
Scenario-based uncertainty modellingActive and reactive distribution market
Social welfare maximization
Distribution locational marginal prices
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© 2018 Elsevier. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
2018-02-04
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Show full item recordAbstract
In this paper, a stochastic approach for the operation of active distribution networks within a joint active and reactive distribution market environment is proposed. The method maximizes the social welfare using market based active and reactive optimal power flow (OPF) subject to network constraints with integration of demand response (DR). Scenario-Tree technique is employed to model the uncertainties associated with solar irradiance, wind speed and load demands. It further investigates the impact of solar and wind power penetration on the active and reactive distribution locational prices (D-LMPs) within the distribution market environment. A mixed-integer linear programming (MILP) is used to recast the proposed model, which is solvable using efficient off-the shelf branch-and cut solvers. The 16-bus UK generic distribution system is demonstrated in this work to evaluate the effectiveness of the proposed method. Results show that DR integration leads to increase in the social welfare and total dispatched active and reactive power and consequently decrease in active and reactive D-LMPs.Version
Accepted manuscriptCitation
Zubo RHA, Mokryani G and Abd-Alhameed R (2018) Optimal operation of distribution networks with high penetration of wind and solar power within a joint active and reactive distribution market environment. Applied Energy. 220: 713-722.Link to Version of Record
https://doi.org/10.1016/j.apenergy.2018.02.016Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1016/j.apenergy.2018.02.016