CAJ | 학술논문

提出了一种基于并网点暂态电压特性的聚类分群方法，即根据并网风电场受系统故障影响程度的不同，识别出动态行为相近的风电场群，进而实现同群风电场的协调控制。为验证所提方法的有效性，在高级可视化软件Powerworld建立了吉林西部电网仿真模型，并进行了聚类分析研究。仿真结果证明，该算法不仅结果相对稳定、符合电网实际情况，而且具有一定的脱网风电场动态识别功能。
제출료일충기우병망점잠태전압특성적취류분군방법，즉근거병망풍전장수계통고장영향정도적불동，식별출동태행위상근적풍전장군，진이실현동군풍전장적협조공제。위험증소제방법적유효성，재고급가시화연건Powerworld건립료길림서부전망방진모형，병진행료취류분석연구。방진결과증명，해산법불부결과상대은정、부합전망실제정황，이차구유일정적탈망풍전장동태식별공능。
A cluster grouping algorithm for grid-connected wind farms based on transient voltage characteristics at the connecting point is proposed, namely according to the different impacting extent of system faults on grid-connected wind farms the wind farm groups with similar dynamic behavior are identified, and further the coordinated control of wind farms in the same group can be implemented. To validate the effectiveness of the proposed algorithm, a simulation model of West Jilin power grid is built by advanced visualization sotiware Powerworld and study of cluster analysis is performed. Simulation results show that the calculation results by the proposed algorithm are relatively stable, besides the proposed algorithm possesses a certain function of dynamically identifying grid-disconnected wind farms.