With the gradual development of bidirectional interacted future distribution network, it is necessary to enter distributed clean power sources with various characteristics, including wind turbine and solar panel. Traditional centralized control has difficulties to fulfill the demands of future distribution networks for safe, stable, and efficient operation. Aiming at the constrained power allocation problem widely studied in smart grid, with the cooperative control algorithm of continuous multi-agent system, this paper proposed a distributed optimization allocation strategy, which is free by the initial state. The proposed distributed algorithm implements parameterization by adding auxiliary variables. In the iterative process, the algorithm only needs to know the state of the distributed power supply of the neighbor, and finally solve the global optimal solution of the system. The simulations prove that the proposed scheme can effectively improve the economic dispatch performance. Furthermore, comparing to the existing algorithm, the proposed algorithm achieves faster optimal solution.

中文翻译：

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未来配电网多资源电力调度问题的免初始化分布式算法

随着未来双向互动配电网络的逐步发展，需要进入具有各种特性的分布式清洁能源，包括风力发电机和太阳能电池板。传统的集中控制难以满足未来配电网安全、稳定、高效运行的需求。针对智能电网中广泛研究的受限功率分配问题，利用连续多智能体系统的协同控制算法，提出一种初始状态自由的分布式优化分配策略。所提出的分布式算法通过添加辅助变量来实现参数化。在迭代过程中，算法只需要知道邻居分布式电源的状态，最后求解系统的全局最优解。仿真结果表明，所提方案能够有效提高经济调度性能。此外，与现有算法相比，该算法实现了更快的最优解。