Abstract: Photovoltaic intelligent edge terminal （PVIET） is one of the important equipment for safe and stable operation and intelligent operation of PV power station. It is powerful but expensive,and the distributed PV power station with small capacity cannot afford its high price. In order to solve the above problems,an optimal configuration method for PVIET is proposed,and the optimal layout model of PVIET is established from two aspects,i. e.,quantity and location. At the same time,aiming at the weak optimization performance and low operability of coyote optimization algorithm （COA）,a mutation opposition-based learning COA （MOBL-COA） is proposed. The test results of typical cases show that the proposed method can effectively reduce the cost,and the proposed MOBL-COA has excellent performance in convergence speed,solution accuracy and algorithm stability,which verifies the effectiveness and feasibility of the proposed method.