Abstract
The power distribution effect of traditional (power-voltage-current) three-loop droop control method is seriously affected by the resistance inductance ratio of the line, and the voltage-current double closed-loop PI control has many parameters adjustment. To solve the problems, a model predictive voltage control cascade adaptive droop method is proposed. Firstly, the proposed method realizes the model predictive voltage loop control through cost function design, simplifies the original double closed-loop control system structure. Simultaneously, it can realize the balance of midpoint potential through the constraint of cost function. Secondly, virtual impedance is introduced to change the equivalent output impedance of the micro power inverter so as to reduce the reactive power equipartition error. Thirdly, an adaptive droop control method is designed to realize the adaptive compensation of the system frequency and voltage, and solves the problem of extra output terminal voltage drop caused by virtual impedance. Finally, the effectiveness and feasibility of the improved control strategy are verified by the simulation results.
Original language | English |
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Title of host publication | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350396867 |
ISBN (Print) | 9798350396867 |
DOIs | |
State | Published - 2023 |
Event | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China Duration: 2023 → 2023 |
Publication series
Name | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
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Conference
Conference | 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 |
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Country/Territory | China |
City | Wuhan |
Period | 16/06/23 → 19/06/23 |
Bibliographical note
Funding Information:This work was supported in part by the National Natural Science Funds of China under Grant 52277070, in part by the Science and Technology Program of Fujian Province 2021I0039, 2021T3064, 2021T3035, 2022T3070, and J. Rodriguez acknowledges the support of ANID through projects FB0008, 1210208 and 122129.
Publisher Copyright:
© 2023 IEEE.
ASJC Scopus subject areas
- Control and Optimization
- Modeling and Simulation
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
- Mechanical Engineering
- Safety, Risk, Reliability and Quality