Optimal layout of energy consumption monitoring points based on the evaluation of energy efficiency

Industrial users are big energy consumers, and most of them install monitoring devices on all transmission lines and load branches of the network during energy consumption monitoring. As a result, there is no direction in energy consumption monitoring, and there is a lot of the phenomenon of repeated monitoring which results in a great waste of resources. This paper presents the concept of fluctuation coefficient of energy efficiency. By comparing the size of fluctuation coefficient of each production line, we can realize the main monitoring of some production lines in industrial users. Using binary quantum particle swarm optimization (BQPSO) to further optimize the arrangement of energy consumption monitoring points, we can further reduce the number of energy monitoring points in the premise of making the whole network observed. Doing the simulation of a textile enterprise, the number of energy monitoring points can be reduced from the original 118 to 50 through optimization. The results show that the optimization method can significantly decrease the number of energy monitoring points in the premise of making the whole network observed and can reduce the cost of energy consumption monitoring for industrial users effectively.