Optimization of Synthetic Inertial Response from Wind Power Plants
Müfit Altin,
Jan Christian Kuhlmann,
Kaushik Das and
Anca Daniela Hansen
Additional contact information
Müfit Altin: Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark
Jan Christian Kuhlmann: Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark
Kaushik Das: Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark
Anca Daniela Hansen: Wind Energy Department, Technical University of Denmark, 4000 Roskilde, Denmark
Energies, 2018, vol. 11, issue 5, 1-15
Abstract:
In this paper the emphasis is on the optimization of synthetic inertial response of wind power plants (WPPs) for power systems with high wind power penetration levels, considering different wind speed operating conditions. The synthetic inertial response of wind power plants can play an important role in the resilience of future power systems with low inertia during large frequency disturbances. In order to investigate this role, a generic optimization methodology employing the genetic algorithm is proposed, taking into consideration the frequency nadir, second frequency dip, and time to reach the quasi–steady-state frequency. This optimization methodology comprehends the inertial response capability of WPPs and the frequency control dynamics of the power system. Accordingly, offline parameter tuning of synthetic inertial response is performed at the power system level with the proposed methodology. Based on the optimization results, the relevant aspects to be considered by transmission system operators and wind power plant developers in the process of designing and planning synthetic inertia are identified and analyzed. Additionally, sensitivity analyses are carried out to assess the impact of synthetic inertial response parameters on power system frequency control performance under different contingencies and wind power penetration levels.
Keywords: wind energy integration; heuristic optimization; wind power plants; genetic algorithm; synthetic inertial response (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:5:p:1051-:d:143094
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