In this study, a community solar implementation strategy is proposed for smart energy community that consists of energy community members (ECMs) of an energy consumption group. The community solar implementation problem is expressed as a composition problem of a community member set. The problem is well known a NP-hard in which computational complexity increases exponentially as the size of the set increases. In this study, the necessary conditions for forming an energy community set are derived through the load relationship between individual ECMs and the relationship with solar power generation. Using that, an efficient community solar implementation strategy is proposed in which the computational complexity is linearly increased with the size of the ECM set. The simulation results show that the use of the proposed strategy achieves stable performance with a marginal benefit reduction of less than 9% compared to the optimal method. In addition, it is discussed that fairness in the distribution of net benefits among ECMs can be indirectly guaranteed through the use of price factors.