Abstract：With the continuous increase in the scale of distribution network construction and operation，a large

number of electricity load control problems have emerged，especially the weakening of sample time series

characteristics in electricity load data analysis，resulting in incomplete acquisition of local load characteristics，

making it impossible for the distribution network electricity load prediction system to maintain the balance of

energy in the power grid. In the past，the impact of "source-load" uncertainty was also rarely considered in the

distribution network electricity load processing and distribution，which can easily lead to low probability of

electricity load classification recognition，significant errors in electricity load prediction，and long-term problems

such as high generation costs and insufficient distribution balance. In response to the above situation，the

uncertainty of "source" and "load" was conducted research through probability distribution functions. A multiobjective function composed of two probability distribution functions was set as the constraint conditions for the coordinated output balance. The improved cluster eddy current search algorithm was used to solve the problem，and a coordinated control scheme for electricity load was obtained. The test results show that at 17：00，the power of photovoltaic device 1 is 1 050 kW，at 11：00，the power of photovoltaic device 2 is 980 kW，based on the sourceload uncertainty root-mean-square error of less than 0.7%. The cost of the scheme based on "source-load"uncertainty is 453 200 yuan，and the balance degree is 0.94. The collaborative control method based on "sourceload" uncertainty has a higher balance than the collaborative control method without "source-load" uncertainty，and the collaborative control technology is more reasonable.

      Key words：“source-load”uncertainty；distribution network；electricity load；collaborative output model；

distributed；control technology