Aiming at the integrated WG- PV- ESS planning problem of distribution network considering the uncertainty of distributed power and load. Firstly

the uncertainty of distributed power and load is characterized by a probabilistic model

and the probabilistic power flow was solved based on the improved semi-invariant method. Then

considering the investment cost

carbon cost

economic benefits and voltage improvement

and aiming at maximize the comprehensive benefit

the comprehensive planning model of WG- PV- ESS comprehensive planning model considering reactive power compensation device is established. A carnivorous plant algorithm based coevolutionary algorithm is proposed to solve the model. In this algorithm

the multi-agent comprehensive planning problem to be solved is decomposed into three sub-planning problems:distributed generation

energy storage and reactive power compensation devices

and each sub-problem is solved based on CPA

and the optimal planning scheme is obtained by coordinating the evolution of various groups through the ecosystem. Finally

the rationality of the proposed model and the efficiency and universality of the solution algorithm are verified by IEEE33 and IEEE69.