As a highly proficient technology, high-voltage direct current (HVDC) is utilized to interconnect asynchronous networks and interface renewable energy resources with electric grids. However, this interconnection raises the fluctuation and instability problems at high-voltage levels. Recently, superconducting magnetic energy storage (SMES) is employed to overcome these problems. The SMES influential use trusts on its control approach. In this paper, a model predictive control (MPC) technique is proposed to control the SMES connected to the AC side of an interconnected HVDC system. A voltage source converter (VSC)-based SMES with HVDC system is modeled in MATLAB® environment. The impact of the proposed MPC-based SMES on the dynamic performance of the interconnected HVDC system is investigated. To demonstrate the effectiveness of the proposed controller, the HVDC system performance has been examined without SMES, with the proposed MPC-based SMES and with the conventional space vector control (SVC)-based SMES. Different disturbances such as step change of the generator voltage as well as a three-phase fault close to sending and receiving end converters are applied. The simulation results exhibit the effectiveness and robustness of the proposed MPC-based SMES connected with VSC-HVDC system under the disturbances considered.
|Number of pages||16|
|Journal||Arabian Journal for Science and Engineering|
|State||Published - May 2023|
Bibliographical noteFunding Information:
The authors acknowledge the support provided by the Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS), Research Institute, King Fahd University of Petroleum and Minerals, through Project #INRE2112.
© 2022, King Fahd University of Petroleum & Minerals.
- High-voltage direct current
- Model predictive control
- Space vector modulation
- Voltage source converter
ASJC Scopus subject areas