SVM-based Abnormal Operation Identification Method for Electric Heating Collaboration

At present, regional clean energy supply with the core concept of "electric heating collaboration, cross-network mutual aid" has gradually become a mature energy solution, so ensuring the safety and stability of electric heating collaborative operation has become the top priority. In the process of anomaly identification, it is often difficult to obtain sufficient fault data, resulting in insufficient generalization ability of the trained model. Based on the typical architecture of regional electrothermal integrated functional system, this paper constructs the comprehensive simulation model of photovoltaic, heat pump, electric vehicle, battery and heat storage modules. Then, combined with the proposed fault simulation method, the required abnormal operation data is generated, and an abnormal operation recognition model based on SVM is proposed. Finally, the validity of the model is verified by the example analysis. This paper has a certain theoretical and numerical reference value for the monitoring of electrothermal cooperative operation anomalies.