Abstract
The evolving High Voltage Direct Current (HVDC) technology integrated into the modern power grids can help improve operation stability and damp undesired low-frequency oscillations in the system. This paper presents a Power Oscillation Damping (POD) strategy for power systems with a hybrid (LCC-VSC) HVDC link. The work consists of a centralized supervision algorithm that monitors the dynamics of several system variables and sets the appropriate gains to the POD controller from a lookup table (LUT) generated offline via simulation-based Particle Swarm optimization analysis. The mathematical modeling for the test system with an embedded HVDC link is presented, and the optimal tuning problem is defined using performance-oriented objective functions. Details for the detection and scheduling algorithm, LUT construction, and controller structure are provided. The nonlinear simulation model is implemented in MATLAB, and the results support the effectiveness of the proposed approach.
Original language | English (US) |
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Title of host publication | SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665405577 |
DOIs | |
State | Published - 2022 |
Event | 5th International Conference on Smart Energy Systems and Technologies, SEST 2022 - Eindhoven, Netherlands Duration: Sep 5 2022 → Sep 7 2022 |
Publication series
Name | SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies |
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Conference
Conference | 5th International Conference on Smart Energy Systems and Technologies, SEST 2022 |
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Country/Territory | Netherlands |
City | Eindhoven |
Period | 09/5/22 → 09/7/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Gain Scheduling
- Hybrid HVDC
- Particle Swarm optimization
- Power Oscillation Damping
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Control and Optimization