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文章摘要
基于三端口电力电子变压器的交直流混合微网分层多目标优化
Layered multi-objective optimization of AC / DC hybrid microgrid based on three port power electronic transformer
Received:June 11, 2018  Revised:July 15, 2018
DOI:10.19753/j.issn1001-1390.2019.017.010
中文关键词: 三端口电力电子变压器  交直流混合微网  分层多目标优化  供蓄指标
英文关键词: three port power electronic transformer  AC/DC hybrid microgrid  hierarchical multi-objective optimization  supply and storage index
基金项目:国家自然科学基金资助项目(51607083);江苏省高校自然科学研究重大项目(17KJA470003)
Author NameAffiliationE-mail
Huang Kun School of Power Engineering, Nanjing Institute of Technology 2981944528@qq.com 
Hao Sipeng* School of Power Engineering, Nanjing Institute of Technology 623557650@qq.com 
Li Yanfei School of Economics and Management, Nanjing Institute of Technology 1085541112@qq.com 
Zhang Xiaolian School of Power Engineering, Nanjing Institute of Technology 1161844712@qq.com 
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中文摘要:
      三端口电力电子变压器(PET)具有交流、直流接口,便于主网、交流微网、直流微网协调优化。根据PET结构,将三端口PET并网的交直流混合微网分为微网层、混合层和并网点层,以并网点层功率波动最小、混合层新能源最大程度消纳、微网层新能源和负载功率变化率最小为目标建立分层多目标优化模型。基于PET端口容量、传输效率限制,改进了微网、PET并网点供蓄能力指标,减少了优化约束条件。在此基础上,实现了加权的多目标求解,提高了求解效率。算例验证了分层多目标优化和供蓄指标的有效性。
英文摘要:
      Three port power electronic transformer (PET) with AC and DC port, can easy implement the coordinate optimization of main network, AC micro-grid and DC micro-grid. According to PET structure, dividing grid-connected AC/DC hybrid micro-grid into microgrid layer, hybrid layer and gridSconnectionSpoint layer. Establishing hierarchical multi-objective optimization model with the goal of minimizing power fluctuation at grid-connected point, maximizing consumption of new energy at hybrid layer, and minimizing change rate of new energy and load power at microgrid layer. Based on capacity of PET port and transmission efficiency, improving the supply and storage index of microgrid and gridSconnectionSpoint, reducing the optimization constraints. On this basis, the weighted multi-objective solution is realized and the solution efficiency is improved. The example verifies the effectiveness of hierarchical multi-objective optimization and supply-storage index.
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