分布式算法在通信、可靠性、灵活性等方面拥有显著的优势，在电网经济调度方面显示出其竞争力。为此，构建了含可转移负荷和向大电网购电的微电网多时段经济调度模型。针对于当前分布式一致性调度算法无法解决调度资源成本函数为非严格凸的情况，基于卡罗需-库恩-塔克（Karush-Kuhn-Tucker，KKT）条件设计了一种动态功率约束生成策略，该策略能动态修改局部优化过程中的功率约束，避免了可转移负荷和购电功率集中参与响应，消除了调度资源成本函数非严格凸导致结果无法收敛的影响。最后，仿真算例验证了所提算法的正确性和有效性。

Distributed algorithms have significant advantages in communication, reliability, flexibility, and other aspects, demonstrating their competitiveness in the economic dispatch of power grids. For this purpose, a multi-period economic dispatch model for microgrids is constructed, which includes transferable loads and purchasing electricity from the large power grid. A dynamic power constraint generation strategy based on the Karush-Kuhn-Tucker （KKT） condition is designed to address the issue that current distributed consensus dispatch algorithms cannot solve the problem of dispatch resource cost functions being non strictly convex. This strategy can dynamically modify the power constraints in the local optimization process, avoiding the centralized participation of transferable loads and purchasing electricity in response, and eliminating the impact of non strictly convex scheduling resource cost functions that prevent convergence of results. Finally, simulation examples verify the correctness and effectiveness of the proposed algorithm.