Optimal Management of Reactive Power Sources in Far-offshore Wind Power Plants

Conference Paper (2017)
Author(s)

A.M. Theologi (TU Delft - Intelligent Electrical Power Grids, Aristotle University of Thessaloniki)

M Ndreko (TU Delft - Intelligent Electrical Power Grids)

José L. Rueda (TU Delft - Intelligent Electrical Power Grids)

M. A.M.M. van der Meijden (TenneT TSO B.V., TU Delft - Intelligent Electrical Power Grids)

Francisco Gonzalez-Longatt (Loughborough University)

Research Group
Intelligent Electrical Power Grids
DOI related publication
https://doi.org/10.1109/PTC.2017.7980833
More Info
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Publication Year
2017
Language
English
Research Group
Intelligent Electrical Power Grids
Pages (from-to)
1-6
ISBN (electronic)
978-1-5090-4237-1

Abstract

This paper introduces a new approach for the optimal management of reactive power, with emphasis on offshore wind power plants. The approach follows a predictive optimization scheme (i.e. day-ahead, intraday application).
Predictive optimization is based on the principle of minimizing the real power losses, as well the number of On-load Tap Changer (OLTC) operations for daily time horizon (discretized in 24 hours). The mixed-integer nature of the problem and the restricted computing budget is tackled by using an emerging
metaheuristic algorithm called Mean-Variance Mapping Optimization (MVMO). The evolutionary mechanism of MVMO is enhanced by introducing a new mapping function, which improves its global search capability. The effectiveness of MVMO to find solutions that ensure minimum losses, minimum impact on OLTC lifetime, and well as optimal grid code compliance is demonstrated by investigating the case of a real world far-offshore wind power plant with HVDC connection.

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