1. Control parameterisation for POD via software‐in‐the‐loop simulation
- Author
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Ha Thi Nguyen, Guangya Yang, Arne Hejde Nielsen, Peter Højgaard Jensen, and Carlos F.M. Coimbra
- Subjects
Damping ratio ,dominant oscillation mode ,power oscillations ,frequency stability improvement ,simulation results ,optimisation ,Computer science ,020209 energy ,damping ratio ,pod optimal parameters ,power system control ,Energy Engineering and Power Technology ,real-time digital simulator ,02 engineering and technology ,Stability (probability) ,genetic algorithms ,power systems ,Electric power system ,pod parameters ,power system stability ,Control theory ,parameter optimisation ,0202 electrical engineering, electronic engineering, information engineering ,future western danish power system ,MATLAB ,computer.programming_language ,damping ,power oscillation damping incorporating synchronous condensers ,Oscillation ,low-inertia systems ,system measurement ,General Engineering ,Mode (statistics) ,big concern ,Power (physics) ,control parameterisation ,software-in-the-loop simulation ,closed-loop interfaced setup ,lcsh:TA1-2040 ,oscillations ,electricity grid ,Real Time Digital Simulator ,designed controllers ,lcsh:Engineering (General). Civil engineering (General) ,computer ,Software ,closed loop systems - Abstract
The parameter optimisation of designed controllers for power systems is always a big concern and needs a lot of effort of researchers especially when the electricity grid becomes larger and more complex. This study proposes a control parameterisation using genetic algorithms (GAs) for power oscillation damping (POD) incorporating synchronous condensers (SCs) via software-in-the-loop simulation to enhance the damping and frequency stability for low-inertia systems. A closed-loop interfaced setup among real-time digital simulator, MATLAB, and OLE for process communication running in real time is analysed and implemented to optimise the POD parameters of a SC. Furthermore, a Prony technique based on the system measurement is applied to find out the frequency and damping ratio of the dominant oscillation mode. The POD optimal parameters are determined by the GA objective function that maximises the damping ratio of the dominant oscillation mode. The effectiveness of the proposed method in damping power oscillations and frequency stability improvement is verified through simulation results of the future western Danish power system. Simulation results demonstrate that the proposed approach offers good performance for parameter optimisation of the POD.
- Published
- 2019