%0 Journal Article
%T 提高风电场可靠性的自适应最优过流保护方案<br>Self-Adaptive Optimal Overcurrent Protection Scheme Improving Reliability of Wind Power Plant
%A 沈平
%J Sustainable Energy
%P 41-47
%@ 2164-9065
%D 2022
%I Hans Publishing
%R 10.12677/SE.2022.126006
%X 本文提出了一种新的基于灰狼优化算法(GWO)的自适应大型风电场过流保护方案。自适应保护方案克服了传统保护方案的局限性，在传统保护方案中继电器的误操作会引起电源系统中的部件故障。在不同的风速下，大范围的电流被供给到电网中。此时，在只有一组过电流继电器(OCR)的情况下，会导致严重的失调和误跳闸。实验证明，基于GWO的自适应过电流保护方案能够显著地改善风电场的OCR运行时间。<br />
An innovative self-adaptive optimization algorithm based on grey wolf optimization (GWO) over-current protection scheme for large-scale wind power plants is proposed in this work. The self-adaptive protection scheme overcomes the limitation of conventional protection schemes, in which incorrect action of rely results in component fault of the power system. The large range current is supplied to the power grid under different wind speeds. In this condition, severe offset and mistrip occur with only one set of overcurrent relay (OCR). It is experimentally approved that the self-adaptive overcurrent protective scheme based on GWO is able to enormously improve the run time of OCR of the wind power plant.
%K 自适应保护，灰狼优化算法(GWO)，电力系统保护，风电场，Self-Adaptive Protection
%K Grey Wolf Optimization (GWO)
%K Power System Protection
%K Wind Power Plant
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=59550