Active power distribution network energy optimization method based on multi-target optical microscope optimization algorithm

The invention provides an active power distribution network (ADN) energy optimization model based on a multi-target optical microscope optimization algorithm (MOOMA). The active power distribution network (ADN) energy optimization model is technically characterized in that an ADN energy stability optimization model of a reactive power compensation device, an on-load voltage regulation transformer and an adjustable load is established; and respectively constructing an operation cost objective function, a resource regulation and control objective function and an electric energy quality objective function. Secondly, improving an OMA algorithm by using a non-dominated sorting mechanism in combination with an archive updating strategy, and proposing MOOMA; meanwhile, an improved Tent map is provided for algorithm initialization, a Sigma point variation mechanism is introduced, a nonlinear decline factor is designed, and the searchability of the MOOMA is improved; and finally, selecting an optimal compromise soluti