Title | Consumption Ability Estimation of Distribution System Interconnected with Microgrids |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Zhao, Min, Li, Shunxin, Xiao, Dong, Zhao, Guoliang, Li, Bo, Liu, Li, Chen, Xiangyu, Yang, Min |
Conference Name | 2019 IEEE International Conference on Energy Internet (ICEI) |
Keywords | consumption ability estimation procedure, distributed generation, distributed power generation, distribution network planning, distribution networks, distribution system design, distribution system interconnection, Energy management, Estimation, index system, Metrics, microgrid capacity, Microgrids, microgrids access plan, multimicrogrids, multiscenario simulation, Photovoltaic systems, Planning, power distribution economics, power distribution planning, power generation economics, power quality, power supply quality, power system interconnection, pubcrawl, rationality evaluation, Resiliency, Scalability, security, simulation, Underwater Networks |
Abstract | With fast development of distributed generation, storages and control techniques, a growing number of microgrids are interconnected with distribution networks. Microgrid capacity that a local distribution system can afford, is important to distribution network planning and microgrids well-organized integration. Therefore, this paper focuses on estimating consumption ability of distribution system interconnected with microgrids. The method to judge rationality of microgrids access plan is put forward, and an index system covering operation security, power quality and energy management is proposed. Consumption ability estimation procedure based on rationality evaluation and interactions is built up then, and requirements on multi-scenario simulation are presented. Case study on a practical distribution system design with multi-microgrids guarantees the validity and reasonableness of the proposed method and process. The results also indicate construction and reinforcement directions for the distribution network. |
DOI | 10.1109/ICEI.2019.00067 |
Citation Key | zhao_consumption_2019 |