With the increasing adoption of new energy generation

load aggregators with regulation capabilities participating in deep peak regulation markets can alleviate power grid deep peak regulation pressure and promote new energy consumption. If the diverse characteristics of multi-quality energy on the load side can be fully utilized to incentivize substitution potential between different energy sources

this will deepen and enhance load demand response capabilities; however

load aggregators find it difficult to accurately assess the elasticity between heterogeneous energy sources within users' systems. Therefore

based on incentive compatibility theory

this paper designs an incentive contract that encourages users to report the interaction elasticity coefficients of heterogeneous energy sources truthfully; if users report values close to true response results

helping aggregators accurately assess deep peak regulation potential

they will receive high returns. This paper presents a bidding-based bilevel optimization model for load aggregators participating in deep peak regulation markets

aiming to maximize the total revenue of load aggregators and comprehensive user utility benefits by leveraging the complementary characteristics and cascaded utilization potential of heterogeneous energy sources. The incentive compatibility contract design proposed in this paper presents a novel approach for aggregators to assess uncertainties on the user side and stimulate user enthusiasm for participation. Finally

the effectiveness of the proposed method is verified through comparative case studies.