CAJ | 학술논문

针对SVM等各类传统算法耗时过长，无法满足在线要求的问题，提出了一种基于广泛内核核向量机(ECVM)的大规模电力系统在线稳定评估算法。首先基于决策树算法对原始特征量进行特征筛选，然后基于ECVM分类器快速给出电力系统稳定状态的评估结果。该算法简化了最小闭包球问题中新球心的计算过程，避免了每次迭代都要解决QP问题，降低了算法的复杂度。在New England 39节点系统和某实际系统下的仿真结果表明了所提算法的优越性，为大规模电力系统的在线稳定评估提供了新思路。
침대SVM등각류전통산법모시과장，무법만족재선요구적문제，제출료일충기우엄범내핵핵향량궤(ECVM)적대규모전력계통재선은정평고산법。수선기우결책수산법대원시특정량진행특정사선，연후기우ECVM분류기쾌속급출전력계통은정상태적평고결과。해산법간화료최소폐포구문제중신구심적계산과정，피면료매차질대도요해결QP문제，강저료산법적복잡도。재New England 39절점계통화모실제계통하적방진결과표명료소제산법적우월성，위대규모전력계통적재선은정평고제공료신사로。
As traditional algorithm such as SVM is time-consuming and unable to meet the requirements of assessment online, this paper proposes an extensive kernel core vector machine (ECVM) based on-line stability assessment algorithm of large-scale power system. Firstly, the original feature is extracted based on the decision tree algorithm and then a quick assessment conclusion is given based on ECVM classifier. This algorithm simplifies the new globe calculation process in the minimum enclosing ball issues to avoid the QP problem resolved at each iteration so that the complexity of algorithm is reduced. The simulation results in the New England 39-bus system and a real power system show the superiority of the proposed algorithm, which provides a new idea for the online stability assessment of large-scale power system.