Work

Adaptive-robust control for frequency and voltage stability in multi-terminal DC wind energy systems

Year: 2025

Type: article

Abstract: In this paper, in order to investigate the stability of the power system as much as possible in the presence of offshore wind farms (OWF) and multi-terminal direct current network (MTDC) based on voltage source converter (VSC), two main aims are pursued. The first aim is to design a two-level integrated control (TLIC) for frequency support at the level of grid-side VSCs (GSVSC). The first level of TLIC is based on adaptive inertial controller (AIC) and adaptive droop controller (ADC). At this level, by adjusting the coefficients of the AIC and ADC controllers, all wind units (WU) that are in their maximum power point tracking (MPPT) mode will work to compensate for the secondary frequency fall (SFF). To achieve this aim, first, WUs are divided into different clusters based on their rotor speed, so that they can be operated sequentially to support the frequency. In the second level, TLIC has been used to establish a fair power flow between GSVSC stations by measuring local frequencies in the onshore power system (OPS), which is called Communication Free Allocation (CFA). In addition to supporting the OPS frequency, this design is able to compensate for the SFF deviation when the WUs are in their MPPT operation. The second aim of this paper is to design a H ∞ resistant controller based on loop shaping at the WSVSC station level. The proposed H ∞ method relies on the mutual characteristic decomposition method (MCDM) for voltage control. DC of MTDC network is designed in such a way that the plant model based on Master-Slave (MS) can reduce MTDC voltage fluctuations under internal and external disturbances. Response the simulation results are evaluated and analyzed in the form of different scenarios that have been done in the MATLAB software environment. Examining these results shows that the proposed plan for damping fluctuations caused by various uncertainties in the power system is very robust.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.110957

Authors: Guo Li, Mohamed Salem, Khlid Ben Hamad, Tomonobu Senjyu, Soichiro Ueda

Institutions: Nanyang Normal University, Universiti Sains Malaysia, Duy Tan University, Fezzan University, University of the Ryukyus

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,920