Abstract: Regional low-grade heat sources, including low-temperature industrial waste heat, data center waste heat, domestic sewage waste heat, and other unrecovered waste heat, have great potentials in regional heating, and distributed electric heat pump units can improve the temperature grade of heat sources for heating with lower cost. In order to promote cooperative energy supplying and reduce the influence of random fluctuations of photovoltaic, taking into account the flexibility characteristics of heat pumps, we studied the strategy of cooperative operation and profit distribution within multiple energy supplying form such as regional low-grade heat sources, photovoltaic and CHP units. Firstly, considering the multi-stage random error of PV prediction and the fitting model error from the electric heat pump, we established a day-ahead scheduling optimization model based on affine strategy for the electric heat pump and CHP unit and intraday scheduling optimization model. Secondly, we proposed an asymmetric Nash Bargaining method based on the weight coefficient of day-ahead and intraday contribution to formulate the profit distribution strategy within multiple agents. Finally, the improved adaptive alternating direction multiplier method(ADMM) was used to solve the problem of profit distribution among various agents in the region. The simulation results show that the proposed strategy can effectively reduce the influence of uncertainty of PV and heat pump's COP while realizing collaborative optimization in regions with low-grade heat sources, and can provide a reasonable profit distribution method considering the contribution of multiple time scales.