Improved droop control strategy based on improved PSO algorithm
| Autor: | Z. John Shen, Yuxing Dai, Zishun Peng, Daqiang Bi, Jun Wang, Yeting Wen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry Reliability (computer networking) 020208 electrical & electronic engineering Particle swarm optimization 02 engineering and technology AC power Power (physics) Compensation (engineering) Electricity generation Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Voltage droop business Voltage |
| Zdroj: | 2017 IEEE Energy Conversion Congress and Exposition (ECCE). |
| DOI: | 10.1109/ecce.2017.8096712 |
| Popis: | The dynamic characteristic, stability characteristic, and power sharing situation of the distributed system based on traditional droop control strategy are easily affected by uncontrollable power coupling and difference of line impedance of the distributed generator (DG) units in distributed system. In order to solve these drawbacks, an improved droop control strategy is proposed. It introduces the power coupling compensation of the phase deviation and voltage deviation into traditional droop control strategy, which can improve dynamic characteristic of DG units. And combination of the improved droop control strategy and virtual impedance can greatly reduce power circulating-current. Meanwhile, an improved particle swarm optimization (PSO) with multi-swarm and multi-velocity is implemented to optimize parameters of power coupling compensation with high precision and reliability. Off-line optimization model is established to compare the proposed improved PSO algorithm and other PSO algorithms. Comparison results show superior performance of the improved droop control strategy and the proposed improved PSO algorithm. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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