Abstract
Existing control techniques of parallel-connected inverters are often complicated with multiple voltage and current loops. A large amount of tuning effort is required to ensure system stability, and the power quality is usually deteriorated due to voltage deviations. This paper proposes a new control method for parallel-connected three-phase voltage source inverters using model predictive control (MPC). High-quality voltages for local loads can be obtained. In addition, each inverter can adjust the output current to achieve proper load sharing according to the power ratings of distributed generation (DG) sources. Hot-swap capability is also achieved to facilitate the connection or disconnection operations to the common AC bus. Started with State-Space function which includes time-consuming matrix calculation can be done in PC. Thus, control gains are found and MPC can be achieved based on a digital signal processor (DSP). The proposed method is simple without complex coordinate transformation or proportional-integral (PI) regulators. The effectiveness of the proposed control strategy are verified by the test results under various scenarios, presenting promising applications in microgrids.
Original language | English |
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Title of host publication | 2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 |
Publisher | IEEE |
Pages | 2056-2062 |
Number of pages | 7 |
ISBN (Electronic) | 9781509012107 |
DOIs | |
Publication status | Published - 13 Jul 2016 |
Externally published | Yes |
Event | 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 - Hefei, China Duration: 22 May 2016 → 26 May 2016 |
Conference
Conference | 8th IEEE International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016 |
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Country/Territory | China |
City | Hefei |
Period | 22/05/16 → 26/05/16 |
Keywords
- Distributed Generation
- Model predictive Control (MPC)
- Parallel-Connected Inverters
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Control and Optimization