Source-load-storage Distributed Coordinative Optimization of AND (Part I): Consensus Based Distributed Coordination System Modeling

作者：Xu, Xilin; Song, Yiqun; Yao, Liangzhong; Yan, Zheng

来源：Proceedings of the CSEE, 2018, 38(10): 2841-2848.

DOI：10.13334/j.0258-8013.pcsee.171476

• Active distribution network (ADN)
• Active distribution networks
• Centralized control
• Consensus convergence
• Coordinative optimization
• Distributed coordination
• Distributed sources
• Renewable energies

Active distribution network (ADN) with high penetration of renewable energy will be faced with several operation problems, such as changeable topology, large scale of communication information, and large computing amount, etc. To cope with these problems, a distributed source-load-storage coordinative modeling method was proposed based on multi-agent system (MAS). To improve limitations of centralized control mode of ADN, center-zone distributed control mode, center-unit distributed control mode and completely distributed control mode were introduced, and an analytical comparison of these three modes showed that the consensus based completely distributed one was the best solution considering topology and communication mode of ADN. Therefore, a source-grid-load MAS coordinative optimization model on the basis of consensus based completely distributed control mode was presented to maximize the profit of ADN. Meanwhile, the consensus terms were defined for further consensus based calculation.

• 出版日期2018
• 单位上海交通大学