| Autor: |
Zhanfan Yu, Sally Sajadian |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 IEEE Energy Conversion Congress and Exposition (ECCE). |
| DOI: |
10.1109/ecce47101.2021.9595841 |
| Popis: |
This paper presents a finite-set model predictive control (MPC) scheme for optimizing the operation of five-level inverter with only four switches for photovoltaic applications. The classical control schemes for multi-level inverters in particular the optimal topology considered in this paper are complex, multi-nested loop, and requires substantial tuning effort. Thus, achieving an efficient control scheme for grid interactive inverters based on classical control framework are not feasible in straight forward manner. For instance, the trending requirement to provide advance functionalities by the inverters at the grid-edge such as switching seamlessly between grid-following and grid-forming modes of operation to support the grid requires next generation control schemes. The proposed efficient model-based predictive control schemes leverage the inherent features of the MPC to optimally determine the switching states of a five-level four-switch inverter to track the desired command and setpoint by a supervisory controller or grid operator. The proposed scheme optimally selects the number of output voltage levels based on dc-link voltage conditions to minimize the total harmonic distortion; this process is implemented by just optimizing a constrained cost function that considers all the feasible switching states by only four-switches. The case studies demonstrate high power quality without requirement of burdensome tuning effort which paves the way towards more intelligent inverters at the grid-edge. Furthermore, the proposed controller features fast dynamic response as it is depicted in the case studies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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