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This paper investigates the use of multi-linear regression models (MLRMs) and machine learning techniques for online voltage stability margin prediction. The methodology relies upon the relationship between system wide reactive power reserves and voltage stability margin. A comprehensive voltage stability assessment considering an extensive contingency list and several load increase directions is...
We present a new approach to design and develop a safety assessment decision support system (SADSS). This approach can improve extension of knowledge and efficiency of logic inference, combining with hierarchical network and the characteristic of the safety assessment process to build knowledge base. Based on investigation on inference engine and the design method of knowledge base, we introduced...
Load modeling plays an important role in power system stability analysis and planning studies. The parameters of load models may experience variations in different application situations. Choosing appropriate parameters is critical for dynamic simulation and stability studies in power system. This paper presents a method to select the parameters with good generalization ability based on a given large...
Development for a static voltage security assessment software package entitled power system voltage stability region (PSVSR) is presented in this paper. A novel power system stability analysis method named "security region" is utilized to develop this comprehensive software package. PSVSR has been implemented in standard C++ on Windows environment. It is constructed with three layers: user...
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