Abstract: Small hydropower stations could contribute to the development and utilization of intermittent renewable energy （IRE） power generation such as wind power and solar power,as a significant flexible resource in a power system. Given this background,hydropower pricing and energy management strategies for promoting accommodation of large amount IRE power generation are addressed. First,small hydropower stations are divided into two classes according to their daily regulation capacity,namely coordinately-scheduled hydropower stations （CHS） and independently-scheduled hydropower stations （IHS）,and a framework of hydropower pricing and energy management with multiple entries considered is proposed on the basis of a Stackelberg game. Then,a bi-level optimization model is established,where the peak-valley electricity prices for the IHS as well as the power output of the CHS are determined at the upper level,with an objective of minimizing the curtailment of IRE power generation and hydropower. Each IHS determines its own power output at the lower level,with an objective of maximizing its generation profit,and a non-linear bi-level optimization problem is attained. The optimization problem is transformed into a mixed integer liner programming problem by applying the Karush-Kuhn-Tucker （KKT）optimality condition and the strong duality theory,which can be solved by the Yalmip/Gurobi solver. Finally,case studies based on an IEEE sample system are carried out and simulation results demonstrate that the developed strategies could promote the accommodation of IRE generation.