面向电热综合系统的全分布式激励机制

Coordination between electric power systems (EPS) and district heating systems (DHS) integrates more renewable energy and improves economic benefits. However, the dispatch of integrated electricity and heat systems (IEHS) raises privacy and incentive concerns. To address these issues, we propose a fully distributed incentive mechanism for IEHS. Specifically, the combined heat and power dispatch (CHPD) model is transformed into a monotone variational inequality (MVI) and solved by a fully distributed predictor-corrector algorithm (FDPCA). With FDPCA, the EPS and DHS operators can dispatch independently. Additionally, we use a novel two-stage benefit allocation approach based on Nash bargaining to distribute profits while simplifying computational complexity. Case studies demonstrate that the fully distributed incentive mechanism effectively protects privacy, enhances efficiency, and promotes cooperation.