The conventional centralized control method can effectively solve the influence of system power imbalance on the optimal dispatching of a power network and stabilize the power fluctuation of tie lines when the control precision is relatively high. However, when there are disturbances and uncertainties in the system, the robustness is insufficient. The distributed control method in economic optimization scheduling has the advantages of simple communication and high reliability and is well adapted to the energy dispersion characteristics of a distributed generator within the regional energy network. However, the control accuracy is slightly less than that of the centralized control method, and when the distributed power encounters a random input or exit, the corresponding sparse network matrix needs to be updated every time, complicating the use of this system for economic operation. In addition, when message loss or communication noise occurs in the communication path, the robustness of distributed control is greatly reduced. To address these issues, this paper proposes a novel power allocation framework to solve the economic optimization problem of a regional energy network that requires only local information exchange among neighboring energy cells and tissues. Correspondingly, to meet the supply–demand balance, a distributed cooperative approach based on the equal incremental principle is used to impart decentralized autonomy to the whole system. In addition, the concept of virtual consistency variables is introduced to manage topological change caused by power excursions in the energy cell and to implement plug-and-play capabilities. Relative to the conventional collaborative control method, the case studies demonstrate the scalability, plug-and-play capability, and robustness of decentralized autonomous control strategies in terms of communication delay, communication failure, and message loss, among other aspects.

中文翻译：

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基于能量细胞组织结构的区域能源网络分布式合作经济优化策略

传统的集中控制方法可以有效地解决系统功率不平衡对电网优化调度的影响，并在控制精度较高的情况下稳定联络线的功率波动。但是，当系统中存在干扰和不确定性时，鲁棒性不足。经济优化调度中的分布式控制方法具有通信简单，可靠性高的优点，很好地适应了区域能源网络内分布式发电机的能量扩散特性。但是，控制精度略低于集中控制方法，并且当分布式电源遇到随机输入或退出时，需要每次更新相应的稀疏网络矩阵，使该系统在经济运行中的使用变得复杂。另外，当在通信路径中发生消息丢失或通信噪声时，分布式控制的鲁棒性大大降低。为了解决这些问题，本文提出了一种新颖的功率分配框架来解决区域能源网络的经济优化问题，该区域能源网络仅需要在相邻能源细胞和组织之间进行局部信息交换。相应地，为了满足供需平衡，使用了基于等增量原则的分布式合作方法，将分散的自治权赋予整个系统。此外，引入了虚拟一致性变量的概念来管理由能量单元中的功率偏移引起的拓扑变化，并实现即插即用功能。