Research on optimization of energy consumption monitoring point layout on user side

In industrial production, the consumption of electric energy is very large. Most enterprises have the problem of repeated monitoring of energy consumption, so the optimization of energy consumption monitoring points has its significance. Firstly, the monitoring points were selected according to the energy efficiency fluctuation coefficient. Then, according to the electrical wiring mode, the proposed monitoring points were optimized for the second time by using the Quantum-behaved Particle Swarm Optimization (QPSO). Finally, the concept of maximum redundancy is put forward to screen and optimize the proposed monitoring points, and the experiment is carried out in an enterprise. The results show that after the first two steps of optimization, the number of monitoring points can be significantly decreased. After the third step of optimization, a more reasonable scheme can be selected under the condition of the same number of monitoring points.