Research on Load Control Strategy of Aggregate Water Heater Based on Artificial Immune Algorithm

Clean energy has strong randomness, high volatility, high wind and light abandonment rate and low energy utilization rate. However, demand side water heater has rich resources, wide control range and good energy storage function. Therefore, it is of great significance to carry out reasonable polymerization control on water heater. To solve this problem, this paper constructs the model of single water heater and aggregate water heater group, and studies the control method of power transfer of aggregate water heater group on this basis. The method first establishes an evaluation method for the adjustable capacity of aggregate water heaters, and then optimizes the allocation of clean energy absorption capacity with the constraints of user comfort (adjustable temperature range) and water heater physical parameters. Secondly, through artificial immune algorithm, iterative optimization is carried out to appropriately adjust the temperature set point of water heater load, so as to achieve the purpose of absorbing clean energy in advance at a proper time. Finally, it is verified by experiments that the algorithm in this paper can effectively consume clean energy, and at the same time, the intervention on the water heater is small, which ensures the user’s experience and economy.