Load Matching Method Based on Mixed-Integer Programming

In recent years, load monitoring and analysis have played an increasingly important role in power system dispatch management. Although event-based non-intrusive load monitoring methods have made some progress in theory and practice, the increasing diversification and complexity of equipment types require enhanced recognition accuracy of existing methods. It is challenging to capture the power usage behavior of multi-state appliances. In this paper, a load matching method based on mixed-integer programming is proposed to assist in correcting the event detection identification results. This method involves constructing a matching matrix and solving it by considering event matching constraints, power matching constraints, and the number of matches constraints. The goal is to minimize the power error and the penalty terms associated with the number of matches constraints. Through arithmetic analysis of 546 real data in the public dataset PLAID, the method achieves an accuracy of 92.13%. This validates the effectiveness of mixed-integer programming modeling and demonstrates its potential as a supplementary tool for improving load identification results.