| Issue |
E3S Web Conf.
Volume 143, 2020
2nd International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2019)
|
|
|---|---|---|
| Article Number | 02039 | |
| Number of page(s) | 8 | |
| Section | Environmental Science and Energy Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202014302039 | |
| Published online | 24 January 2020 | |
Dynamic Robust Reconfiguration of Distribution Network with Low-wind-speed Wind Turbine Integrated
1 School of Electrical Engineering and Automation, HeFei University of Technology, Anhui, China
2 State Grid Chaohu Municipal Electric Power Company, Anhui, China
3 State Grid Shanghai Maintenance Company, Shanghai, China
* Corresponding author: 13905690716@163.com
For distribution systems where wind sources are poor, low-wind-speed wind turbines (LWTG) plays an important role in improving the security, economy and reliability of the system. However, the stochastic volatility of LWTG output and loads poses a challenge to the technology of distribution network reconfiguration. Considering the uncertainty of LWTG output, photovoltaic output and changes of load in multiple continuous periods, a dynamic robust reconfiguration model is established. The optimization target is to minimize the three-phase current unbalance and network loss. The model solving process combines the Latin hypercube sampling-based Monte Carlo method, the Semi-invariant method and the compound differential evolution algorithm. The influence of LWTG on the reconfiguration results is explored based on the modified IEEE34-node simulation system, and the performance of the proposed dynamic robust reconfiguration method is then verified.
© The Authors, published by EDP Sciences, 2020
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